Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce.Show Notes2:56 – How do we get people to adopt AI?4:49 – Carlo’s book6:15 – Why do we call it agile AI?11:12 – Six weeks to get it done!15:07 – Where are we at with AI?16:54 - Problems with AI today22:05 – Secret sauce26:31 - Process and methodology 30:22 – Talk data34:19 – Integration, trust, and quick deployment36:10 – Working remote39:40 – How do you engage?Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book:   http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-ConsultationBlogs: Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo AppuglieseWennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappuglieseConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Yonatan Geifman, CEO & Co-founder of DECI.ai. We provide a proprietary optimization technology for deep learning practitioners that complements other techniques like pruning, quantization and NAS, enabling you to accelerate deep neural network inference on any hardware while preserving accuracy.Show Notes1:28 – Yonatan’s experience4:19 – What did you see in the market that didn’t exist today? 9:30 – How does the process begin?11:57 – Does it sync in the cloud?14:50 – What is it that you can’t find in the market?20:13 – What is the most common hardware?22:55 – What are your thoughts on bias?26:08 – What is your definition for AI to be practical?31:35 – What do you do when the data is not ready?DECI Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Slater Victoroff the founder and CTO at Indico, an enterprise AI solution for unstructured content with a focus on document understanding and process automation. Slater builds machine learning solutions for start-ups, governments, and Fortune 100 companies for the past 7 years. Indico’s framework requires 1000x less data than traditional machine learning techniques.Show Notes1:34 – Why did you go from CEO to CTO?3:51 – What are you pitching to me?10:55 – What use cases is Indico involved with?13:23 – What industries do you cross?18:06 – Is there any cleansing of data?23:12 – How long does it take?27:20 – How is the data maintained?28:14 – What’s the business model?35:13 – What’s the #1 problem that prevents companies from adapting this technology?38:59 – What can clients expect?43:16 – What have you learned about leadership?  Slater Victoroff email: slater.websiteIndico Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Nick Amabile. Nick is the CEO is DAS42, a US data analytics consulting firm that helps companies make better decisions, faster. Founded in 2015, DAS42 is comprised of data analysts, scientists, business professionals, and engineers who provide end-to-end data services —including data strategy, tech stack integrations, application implementation, and enterprise analytics training. Nick’s philosophy is centered around the two components critical to achieving data-driven success: building an effective data analytics environment and building a data-centric company culture.Show Notes2:15 – Nick’s history4:22 – DAS428:52 – Is your brand consulting?11:07 – What do you do different?14:39 – What’s important about consulting?18:25 – Is managed services cost effective?21:18 – What still surprises you?25:32 – What metrics do you look at?28:11 – How has the pandemic affected you?32:28 – Why venture capital fund?34:49 – What are your practices today?Website:  das42Email – [email protected] Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Tim Freestone. Tim is the founder of Alooba. Alloba is a skills assessment platform for analytics, data science and data engineering. They help businesses identify the best candidates that apply for a role within its company.Show Notes4:46 – How do you go from economics teacher to head of business intelligence?7:53 – Do CV’s matter anymore?13:22 – What business problem is Alooba solving?16:05 – Do you have any data that supports your theory?19:01 – Why analytics, data science, data engineering?20:26 - What do you do that others don’t?23:50 – How does Alooba define success?25:42 – Who’s your target client base?32:40 –Is there a customer you can talk about?36:24 – What does Alooba mean?Alooba Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ariel Utnik. Ariel is COO and GM at Verbit, an AI-driven transcription and captioning solution, Ariel has over 20 years of experience in enterprise tech, focusing on driving business efficiencies and enabling scale through AI. He can speak to how AI is transforming industries – from our court systems to entertainment and education – and how it can be used to democratize information across the globe.  Ariel has a strong customer focused background (Like Al), Chief customer officer at Feedvisor, VP customer success at Panaya, and VP Customer success at Clarizen.Show Notes2:51 – Tell us about customer success4:35 – How do you make the transition from Chief Customer Officer to COO?6:47 – What is Verbit’s main mission objective?14:15 – How many languages do you support?14:42 – What makes Verbit’s technology better?19:10 – How do you train your AI?22:47 – What solutions does Verbit offer?27:20 – How far are we from a chat translator?32:30 – What is the size of the market?VerbitAriel Utnik - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Paul Zikopoulos. Paul is the VP of IBM Technology Sales – Skills Vitality & Enablement Global Markets. Paul is an award winning speaker and author and has been at IBM for 28 years.Show Notes3:40 – Is Skills Vitality not the prefect job?5:08 – What’s been your journey at IBM?8:29 – Hybrid Cloud Operation and Artificial Intelligence is this the right strategy?21:13 – What is the new maturity curve?23:53 – Define Data Fabric26:53 – Why is the Challenger Seller book so important?29:14 – What makes a great leader?BooksEnergy BusGritChallenger SaleChallenger CustomerEffortless Experience  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Jean-Claude Mamou. Jean-Claude is the Chief Architect of Information Integration and Governance portfolio, this includes such products as Watson Knowledge Catalog and Datastage.  Show Notes1:45 – Jean-Claude’s experience5:15 – What are the industry challenges?6:52 – Is there integration without governance?9:49 – What is the new solution?13:12 – Understanding your critical data16:06 – Explain what IBM Satellite means19:53 – Where does Cloud Pak for Data come into play?24:57 – What technology can we use to avoid repetitive mistakes?30:36 – Understanding critical data33:52 – What is the number 1 data quality issue?37:08 - How are you inspired and how do you figure your next innovation? 38:52 – Do you have a process you follow?Jean-Claude Mamou – LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Russ Krajec. Russ is a “recovering patent attorney” and believes IP can be used as a financial instrument.  He’s the author of Investing in Patents and one of IAM’s Top 300 Patent Strategists.  Russ is CEO of BlueIron, he finances the cost of patent portfolios, insures IP portfolios for enforcement and defense, and provides loans using IP as collateral.Show Notes1:28 – Russ’s intro4:51 – How is your business monetized?6:17 - Shark Tank chat11:30 – What does BlueIron provide?14:31 – What data do you use to say ‘this is the next big thing’23:24 – How many clients do you work with?25:50 – Common myths33:09 – Number one mistake?39:41 – How do you choose a patent [email protected] Krajec - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year.Show Notes2:05 – Davit’s experience6:44 – What is your success criteria in the mouse connectome?8:44 – What did you learn from this?10:00 – Could this solve ALS?13:19 – What is the problem you’re solving17:17 – How do you prepare the data?24:00 – Why are the naysayers wrong?25:21 – What is the name of the technology?31:19 – What problem have you not solved?37:44 – What keeps you up at night?38:42 – How are you finding talent? 41:06 – What do you do for fun?ActiveloopActiveloop - TwitterDavit Buniatyan - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Mark Gabrielson leads RegTech in Expert Labs which is a division of Services that is associated with Development. Mark joined IBM via the Informix acquisition. In the last 10 years Mark has been leading IBMs Commercial Payments Practice. Mark is currently working on projects involving Safer Payments and OpenPages. Show Notes4:50 – What’s your most favorite job?7:58 – Describe RegTech 13:19 – Breaking down silos20:56 – How do you do it with AI?23:05 – What is OpenPages sweet spot?26:50 – If I am a client how do I get started?30:28 – Who are the competitors?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey.1:30 – Lynne talks about her background5:40 – Lynne’s coaching specialty and mission statement10:30 – Why don’t all leaders have coaches?12:08 – Why do you differentiate corporate coaching from life coaching?16:27 - Do you believe in the element of natural state? 18:32 – How many individuals have you coached?19:49 – What constitutes a great leader?20:55 – What are the common mistakes in a leader?24:44 – Steer them back on trackLynne Snead - LinkedInTalent Evolution SystemsLynne’s email: [email protected] and self deception How will you measure your life? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Jean-Georges Perrin, Director of Engineering at weexperience. Together, they discuss — and compare — Apache Spark and Hadoop, and explain what it means to hold the title of IBM Champion.Show Notes02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website.13:14 - Check out Jean-Georges' book on Apache Spark.24:38 - What does it mean to be an IBM Champion?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Elo Umeh, from Terragon Africa’s fastest-growing enterprise marketing technology company. Terragon uses its on-demand marketing cloud platform, attribution software, and deep analytics capability to enable thoughtful, targeted omni-channel access to 100m+ mobile-first African consumers. Elo is the Founder and CEO at Terragon Group. Elo career has spanned over 15 years where he has worked in the mobile and digital media across East and West Africa. He was part of the founding team at Mtech Communications. Elo holds a global executive MBA from IESE business of school where he graduated at the top of his class. Elo also has a Bachelor’s degree in Business Administration from Lagos State University.Show Notes4:02 – What keeps you going?6:15 – Lets dive into Terragon8:40 – Who are your customers?11:06 – Define pre-paid14:40 – What kind of incites and security are you providing?20:37- What kind of technology is Terragon using?23:16 – What was it about the smart phone that made you want to go out on your own?26:10 – Who’s your biggest competitor? 28:20 – What’s next for Terragon?31:01 – What are the biggest mistakes entrepreneurs make?Terragon Elo Umeh - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Anastasia Leng is CEO and Founder of Creative X. Anastasia previously worked at Google, in 2012 Anastasia started an e-Commerce business which then lead to Creative X. Show Notes4:13 – How much time do you spend on funding?7:08 – Why do it again?13:28 –Is this the ending days of Hatch or the early days of Creative X?18:00 – How would you label your business?23:38 – What technology are you using?27:21 – Who is your target customer?34:14 – Are there other competitors doing this today?36:34 – Customer stories38:38 – Are you using AI?Email - [email protected] - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI. Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data. Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI. Show Notes.15 - 5:23 - Repeat of introductions from Part 1 5:50 – What is AI Anywhere?9:09 – Does it make our development more difficult?11:22 – Does data virtualization work?15:31 - How do we get started with AI?17:41 – Customer success storiesConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI. Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data. Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI. Show Notes5:24 – Why is IBM Watson important?10:28 – How does data fabric fit in?15:25 – How would you describe the customer journey around data fabric?17:10 – Is the ultimate destination AI?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Alex Watson. Alex was previously a GM at AWS and is currently a Co-Founder at Gretel.ai. Gretel is a privacy startup that enables developers, researchers, and scientists to quickly create safe versions of data for use in pre-production environments and machine learning workloads, which are shareable across teams and organizations. These tools address head-on the massive data privacy bottleneck--which has stifled innovation across multiple industries for years—by equipping builders everywhere with the ability to create quality datasets that scale.In short, synthetic data levels the playing field for everyone. This democratization of data will foster competition, scientific discoveries, and the inventions that will drive the next revolution of our data economy. The company recently closed their series-A funding, led by Greylock, for another $12 million and brought Jason Warner, the current CTO for GitHub, on as an investor. Gretel also launched its latest public beta, Beta2, which offers privacy engineering as a service for everyone, not just developers.Show Notes2:03 – Alex’s background4:36 – What time frame was Harvest AI?7:14 – How does NLP play into Harvest AI?10:50 – How can we not have enough knowledge?14:08 – Does the tech exist today for security?18:14 – Privacy issues20:42 – What does Gretel stand for?27:42 – Do you increase the opportunity for bias?31:18 – Where is the sweet spot for Gretel?33:30 – When do synthetic not work?37:42 – What is practical privacy?GretelConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Joe Pavitt, master inventor and emerging technology specialist at IBM. Joe comes from a diverse background of playing various sports at a high-level, while pursuing studies in engineering and technology. Tune in to discover how Joe's role allows him to be at the intersection of these 2 seemingly opposed industries.Connect with JoeLinkedInShow Notes05:29 - Check out this article on the effects of alcohol on athletic performance. 07:00 - IBM has spent the last 25 years at the top spot for patents created.  12:29 - Watch this video to learn more about what Joe is doing with Leatherhead F.C.25:56 - Learn more about the Blender project and animation on their website.  Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.   Show Notes2:49 – Why is all data wrong?9:00 – How do you fix wrong data?23:17 – Where did you get your love for engineering?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Nassim Nicholas Taleb – Fooled by Randomness - Black SwanEngineering Project ManagementNeilSiegel.usc.eduWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.    Show Notes2:20 – Tell us about IBM3:03 – How do you describe yourself?8:37 – Can you talk about the first US Army unmanned aerial vehicle?11:13 – Can you give us some examples of the smartphone and tablet components?18:30 – What’s your favorite invention? 20:20 – Why a book about Engineering and Management? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Davor Bonaci co-founder and CEO of a Seattle-based startup Kaskada. Previously, Davor served as the chair of the Apache Beam PMC and software engineer in Google Cloud since its early days and the inception of Cloud Dataflow.Show Notes2:39 – Are you focused on the platform or the models around event based data?6:52 – Does your company provide knowhow or is it tooling?9:58 – What’s your secret sauce?11:19 – How did you end up here?15:40 – Who’s your biggest competitor? 17:13 – Can you talk to some of the common use cases?20:30 – Are you and IDE, how does it work?21:18 – Are you a subscription service?22:18 – What’s your 5 year plan?26:44 – How feature store save time and money29:19 – Describe the company in three bullets31:35 – What are the top skills? Davor Bonaci  - LinkedInKaskadaConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Wendy Gonzalez, Wendy is an executive that is passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. Wendy has two decades of managerial and technology leadership experience for companies including EY, Capgemini, Cycle30 (acquired by Arrow Electronics) and General Communications Inc. Wendy is an active Board Member of the Leila Janah Foundation.Show Notes2:39 – How does a CEO run a company from home?4:50 - Outline the Mission Statement7:00 – How do you hire people?8:58 – How big is the company?9:23 – What’s your secret sauce?12:10 – How does this tie back to social?18:38 – Can you talk more about your statistics?20:55 – How do you separate your business from others?24:22 – Are these micro models reusable?25:59 – What is a typically engagement look like?29:30 - How do clients find you?30:38 – How did Sama get started?Turing the flywheelOmnivore’s DelemmaSama Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.Show Notes2:25 – How do you go from SVP of Products to getting into the data learning business?3:48 - How do you define data literacy? 5:50 – Do you teach the products?7:36 - What’s out of scope?12:50 – Client use case18:07 – Solving learning problems21:14 – What does a learning plan look like?25:08 – Define Micro30:20 – What’s the best way to learn?33:14 – How do you measure success?34:47 - Are you venture capital funded?36:10 – Do you have a fundamental leadership belief?38:24 – What skill do you value most in a leader?  QuantHubUpskill quanthubMonetizing innovation Ultra LearningMatt Cowell - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.Show Notes2:25 - Are you venture capital funded?4:10 – How many of the solutions involve AI imaging?10:08 – What technologies are behind Seekar?14:26 – Where do you think AI is going?App- covid-aiKordel K France – LinkedInKordel K France – [email protected] Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.Show Notes1:21 – Kordel introduces himself.5:35 – How do you get into the medical field?7:27 - How does a non-medical guy say “hay this is what I need to do”?9:18 – Why is it free of charge?13:25 – Who provides the 95% accuracy?14:55 – What is your mission statement?20:25 – How did you get into the app business?24:00 – What project are you most proud of?29:27 – Why lie detection?Tune in for part 2 next week App- covid-aiKordel K France – LinkedInKordel K France – [email protected]  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms.Show Notes11:43 - What is the context and how did you get involved?17:10 - How do you define success?19:40 - Are you focused on IT language?25:03 - How do you know you’re doing it right?32:30 - What decision have already been made?37:13 - What other challenges have you faced?40:00 - How do you know when you’re done?41:29 - How can people contribute?Dale Davis Jones - LinkedInHai-Nhu Tran - LinkedInBlog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in TechnologyCall for Code for Racial Justice: Linux Foundation Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lillian Pierson. Lillian is CEO of Data Mania and she supports data professionals to becoming world data leaders and entrepreneurs. Lillian started Data Mania in 2012, Lillian has had 1.2 million people take her courses or read her book.  Show Notes3:37 – How did you make your transition to Data Mania?8:20 – What is your Brand now?9:32 – If I contact Lillian @ Data Mania what will I walk away with?14:01 – Is it methodology or career coach or is it both?16:35 – Where did you get your experience to put people in these buckets?19:08 – Do you provide one on one services?22:48 – Is your team worldwide?24:36 – What differentiates your book from another?26:48 – Who is Data Mania targeting?28:32 – Where do I start?Email -  [email protected] Superhero QuizData Science For Dummies Lillian Pierson - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Milan Shetti. Milan is the President of Rocket Software and the Z Business Unit. Milan joined Rocket about a year ago and came from HP where he ran the storage business section. Before that Milan ran a startup and was also at Sun Micro Systems. Show Notes4:16 – What was in that conversation?7:26 – What were you responsible for at HP?10:24 – What position did you start in at Rocket?12:46 – What is your mission objective at this time?15:05 – Are you seeing growth in Z?18:40 – What does modernization mean in Z?22:14 – What does Rocket do that no else does?25:50 – Are you using AI and ML in your new role?31:14 – What is your vision as president moving forward? The Alchemist Paulo Coelho Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes1:37 – Nancy’s bio3:10 - Are we talking Money Ball?5:52 - On Base percentage7:08 – Analyse examples 10:02 – Do you control the data?11:24 – Out there statistics14:12 - Can analytics go to far?17:35 – Real time analysis18:45 – Covid and sports21:15 – Your role in sports betting22:50 – What’s the most fascinating thing you’ve learned?25:23 – What’s the future?Website - Stats PerformMoney BallStats Perform - Twitter Bill James – Baseball Abstract The Analyst   Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Orr Danon CEO at Hailo Technologies. Hailo has developed a breakthrough deep learning microprocessor based on a novel architecture which enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud.Orr has a decade of software and engineering experience from the Israel Defense Forces’ elite intelligence unit. Orr coordinated many of the unit’s largest and most complex interdisciplinary projects, ultimately earning the Israel Defense Award granted by Israel’s president, and the Creative Thinking Award, bestowed by the head of Israel’s military intelligence. Orr holds an M.Sc in Electrical and Electronics Engineering from Tel Aviv University and a B.Sc in Physics from the Hebrew University in Jerusalem.Show Notes4:28 – Is Edge a hardware solution?11:45 – Where do you think the fastest growth in the Edge is going to be?14:01 – What makes your AI chip different?17:10 – Anything else in your secret sauce that makes you different?18:28 – If I am a customer what do I do for proof of technology? And do your chips work together at the Edge?21:35 – What about security?22:50 – Tell us about the data?26:40 – Where will you be in 5 years?Hailo website  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Wendy Cornell. Wendy joined IBM as an IBM Researcher, after spending 20 years as a researcher and leader in the pharmaceutical industry. Currently Wendy is an IBM Research Strategy Lead for Drug Discovery, and Research Life Science Liaison to Watson Health and is credentialed as an IBM Q Ambassador for quantum computing.Show Notes5:16 – What goes into computational biology?8:03 – What was the attraction to IBM?9:57 – What do you do on a daily basis?12:58 – IBM’s 5 and 517:10 – Are we doing work around side effects of different drugs?25:47 – Can technology bring down the approval time?31:30 – What are the positives that will come out of the past 14 months?36:58 – STEM38:25 – What excites you the most about the future? IBM’s 5 and 5 Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah. Show Notes1:50 - Where does pricing go bad?10:00 – What pricing models work the best?17:00 – How does goto market play into pricing?18:53 – Personalized marketing 21:33 – If someone got a better price22:29 – Good customer vs bad customer Cactus Raazi - LinkedInCactus Raazi’s book Price Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah. Show Notes5:45 – How do you make the connection and go start to Price?9:20 – What should I be doing differently16:25 – Topic of price17:38  - How do you define price?19:53 – How are prices set today?26:27 – How do you track customers?27:39 – Personalized pricingCactus Raazi - LinkedInCactus Raazi’s book Price Connect with the TeamProducer Kate Mayne- LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Michel Tricot. Michel is the Co-Founder of Airbyte an open source ELT standard for replicating data for applications, API and databases. Michel has been working in data engineering for 15 years, head of integration and engineering at LiveRamp, he has been involved with data ingestion and data connectors. Airbyte has raised over 5 million in seed money.   Show Notes3:30 – Why start a company in 2020?5:23 – Is this company centered around ETL?9:56 – Why is ELT more attractive than ETL?15:09 – Give us your definition of data engineering and talk about Airbyte20:19 – What’s the business plan around open source?23:49 – Walk us through a use case29:17 – Moving data can be difficult 31:09 – What makes Airbyte different?33:31 – What is the biggest lesson you’ve learned?SlackGitHubAirbyte Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making.In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts.After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model. Show Notes3:26 – Tell us about algorithms for autonomous cars6:26 – Anything you can say around missile defense?8:58 – Tell us about human exoskeletons13:18 – What kind of data were you using to make decisions around the Iron Man suit?16:02 – What did you learn at We Work?25:00 – How we answer a question in the world of Narrator32:24 – Does Narrator sit between the application and the database?33:28 – Walk us through a Use CaseWebsite: Narrator AI.comBooks: The Power of BadNever Split The DifferenceAhmed Elsamadisi - LinkedIn  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing. Al and Dr. Lee try and help us understand Quantum Computing as a new technology.   Show Notes3:03 - Dr. Lee talks about her day to day job4:40 – The challenge 6:12 - Dr. Lee describes quantum 8:03 – What is quantum computing going to do for us that we can’t do today?9:30 – How does this work?17:50 – What kind of problem is quantum computing suited to answer?19:40 – Will quantum computing replace traditional computing?23:36 – Who can use quantum computing?32:30 – Security and quantum33:50 – Dr. Lee’s teamDr. Kayla Lee - LinkedInTen More Universities Join The IBM-HBCU Quantum CenterIBM Quantum Computing QiskitHBCU Center Driving Diversity and Inclusion in Quantum ComputingIBM’s Roadmap For Scaling Quantum TechnologyConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Robin Hernandez, Robin is the VP of Offering Management Cloud Data for Watson AI Ops. Robin started out in software development, and then worked in Technical Sales, IBM Cloud Garage, and then Product Management. Show Notes3:46 – What is AI Ops?6:31 – What is the ROI?12:00 – What does it take to setup AI?17:48 – How does this really work?21:34 – I am in Services what do I get?26:06 – What king of grantees does AI offer?28:12 – Who is monitoring AI?IBM AI Ops  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ana Echeverri. Ana leads Expert Labs Learning, experience in sales, client success, owned her own business. Has a computer engineering degree from Columbia, formerly worked at Informix, and has been in the technology industry for about 30 years, also worked at Microsoft Citrix, and then started her own business focused on Education. Show Notes8:25 – Are there different industry facts driving learning?11:58 – How do you find the time to learn?17:24 – What the best way to get education?20:06 - Do we learn differently?22:49 – We want expert’s what are you going to do?28:40 – What is IBM doing around learning?33:08 – Biggest misconception in learning?Adam Grant Power of LearningConversational Intelligence Cooking Blog (Recetas de Merci) Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Rob Thomas. Rob is Senior VP of IBM Cloud and Data Platform, a Coach and has a Mentor newsletter, an author, and a Blogger. Rob has been at IBM his whole career, started in consulting moved to microelectronics then moved to software in 2006. Show Notes3:26 – What are your learning's from 2020?7:42 – What’s your vision and objectives for Cloud and Data platform? 11:44 – Discuss the rules of your organization14:08 - What’s your view on hybrid cloud?18:30 – What does IBM Cloud and data platform do that nobody else can do?21:51 – What should companies be looking at to build their competitiveness?28:18 – What was your reason for writing about “Just Show Up”?The Mentor NewsletterIt Takes What It Takes  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Jeff Richardson. Jeff has a history of database data, information management, and he is now the Chief Information Officer at Accelerated Enrollment Solutions. Jeff was also at Bentley Systems for 17 ½ years as Chief Data Officer. Show Notes5:41 – What does it mean to be a technology nerd?6:53 – What technologies as a CDO or CIO are you addressing on a regular bases?13:04 – How are you going to tackle the culture and the politics?17:25 – Is it Cloud or Hybrid to drive the new data lake?24:03 – What is your plan to get to desired state?27:04 – Does AI have a role in your new position?31:44 – Fighting the Infodemic what made you write this article? Fighting the InfodemicJeff’s podcast listAnalytics on FireDissecting popular IT NerdsThe Data ChiefData Crunch Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Yancey Strickler. Yancey is a writer and entrepreneur, founder of the Bento Society, Co-Founder of Kick Starter, a Distinguished Fellow at the Drucker Institute, Author of This Could Be Our Future: A Manifesto for a More, Generous World and The Idea Space, Co-Founded the Artist Resource The Creative Independent, the Record label eMusic Selects, and Angel Investor. Show Notes3:43 - Yancey’s Brand8:39 - How in Kick Started did you define success?13:06 – Creating the Bento Society21:00 – Reframing values into the new world23:48 – Tips and tricks27:48 – Data as fire30:48 – What the next 5 – 10 years going to look likeThis Could Be Our Future: A Manifesto for a More, Generous WorldYStrickler.comBentoism.orgThe ideaspace  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory. Show Notes3:24 – What is the AI academy and how does it all fit together?4:34 – AI Ladder and AI Maturity8:32 – How does the AI Factory make it easier to accomplish the AI Ladder?12:00 – Why does your team do it better?17:03 – How do you know your data is ready?21:22 – What is the most practical use case?23:02 – What does it really mean to infuse AI?25:15 – Definition of AI maturity curve28:25 – How do you know it’s trustworthy?29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at?In the Dream House Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Suj Perepa and Richard Darden. Suj is a distinguished engineer and specializes AI, machine learning technology in the financial sector.  Suj also has been a lead for security programs and a member of the IBM Academy of Technology leadership team. Richard is a distinguished engineer in digital human evangelism for North America government and a distinguished engineer at IBM in Cloud and Cognitive for the public sector and a former chief architect on federal government agencies.   Show Notes6:30 – What is a data framework?9:16 – What is framework?11:00 – Governance and people14:15 – Process and architecture19:15 – Bringing it all into a playbook  22:56 – Who is the client?24:36 – How does bias play into it?27:02 – What products are you using?27:54 – Explainability30:44 – Ethics of AI37:13 Suj and Richard’s most important lessons in AIThe Discipline of Technology  Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Kristen Summers who is a distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs,  Show Notes2: 08 - More time needs to be spend on culture and talent management.3:55 - What does data driven culture mean?8:49 – What do you see driving fundamental culture?11:14 - What common tool do we have?12:55 – What is communicate about data?14:42 – How do you know you’re doing it well?17:29 - How do you define AI talent?23:18 - Describe a Data Scientist?27:25 - Common Organizational Structures 31:49 - How do you manage and grow AI talent?IBM Skills Academy   Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. AbstractHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.Show Notes3:40 – Any advice on soft skills and hard skills?8:35 – Telltale signs such as stress10:40 – Settings goals Connect with the TeamProducer Kate Brown - LinkedIn Producer Steve Templeton - LinkedIn Host Al Martin - LinkedIn and TwitterBooksThinking Fast and Slow Financial Intelligence Other notable namesBrene BrownJudith GlaserMarshall GoodsmithDaniel GolemanLynne’s List of Recommended Leadership BooksLeadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian TracyWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textHosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.Show Notes9:08 - Soft skills vs hard skills14:18 - What would you call soft skills?17:05 - Skills and culture19:03 – Can you change culture?22:15 – Behavioral stylesConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.