Welcome to another exciting episode of the AI Innovators Podcast! I'm your host, Rob May, and today we're diving into a truly unique domain as we explore the intersection of AI and the insurance industry. Our guest is Alex Schmelkin, CEO of Sixfold AI, a company that's revolutionizing how insurance companies underwrite policies.In this episode, Alex gives us an insider look at the traditional human-led underwriting process and how Sixfold AI is reshaping this landscape with advanced AI technology. We discuss the challenges and opportunities in automating underwriting, the impressive ROI their solutions bring, and the intricacies of adapting AI across different insurance types.Alex shares valuable insights into the decision-making journey of choosing to enable traditional insurance carriers rather than becoming one, and his perspective on the future of AI insurance. We also touch on the emerging field of AI model insurance and the critical role of document ingestion in their AI tech stack.Get ready to learn from Alex’s vast experience and gain practical advice that every entrepreneur and AI enthusiast can apply. Whether you're in the insurance industry or simply fascinated by AI's transformative power, this episode is packed with valuable takeaways. So, tune in and join us on this deep dive into the future of AI in insurance!Alex Schmelkin ( https://sixfold.ai/)(Linkedin)(Alex's Linkedin)Rob Links ( halfcourt.vc )( Rob AI Newsletter )01:00 - Underwriters assess risk using vast data volumes.04:54 - AI evaluates insurance applications for underwriting decisions.08:14 - Innovators podcast by Half Court Ventures, AI.11:38 - Enhancing insurance with advanced underwriting models.15:16 - AI exclusions in insurance policies raise concerns.17:44 - Reinsurance differs between life and PNC sectors.21:39 - Focus on your core strength and excel.23:12 - Target buyer's conference indicates optimal selling approach.

Welcome back to another episode of AI Innovators with Rob May, the podcast that deep dives into how AI is reshaping industries and the groundbreaking minds behind it. In today's episode, we're joined by Pawel Zimoch, co-founder of Featrix AI, a company known for pioneering vectorization solutions for the enterprise. As we explore the world of vectors and embeddings, Pawel unpacks the significance of data predictability and why some data sets work better with AI than others. We'll also delve into the evolution of Featrix, from its founding story to its innovative strides in custom embeddings and multi-modal data analysis. Whether you're an entrepreneur, a data scientist, or simply curious about the future of AI, this episode is packed with insights you won't want to miss. Tune in for a fascinating conversation on the complexities, challenges, and exciting advancements in the realm of AI.Pawel Zimoch( Featrix.ai )(Linkedin)( Featrix)Rob Links ( halfcourt.vc )( Rob AI Newsletter )00:00 - Embeddings use cosine similarity for comparative analysis.04:57 - Predictive data value varies; feature engineering necessary.06:28 - Efficient AI system predicts project viability quickly.12:04 - Human judgment and problem-solving skills prevail.13:59 - Learning computer science is essential for understanding AI.16:26 - Managing models requires significant context from data scientists.22:28 - Connect with others for broader learning perspectives.23:28 - Success in entrepreneurship relies on understanding people.

Welcome to another exciting episode of AI Innovators with Rob May! In today's episode, we are thrilled to have Kojo Asai from Matrix Capital as our guest. Kojo dives deep into his intriguing thesis on why inference costs are plummeting towards zero and its massive implications for the AI industry. We’ll explore how dropping costs can unlock groundbreaking applications, revolutionize generative media, and shape the future of AI. Kojo also shares his insights on the hottest layers in the AI stack, evaluates the potential of companies like OpenAI, and offers valuable advice for aspiring entrepreneurs and investors. Plus, stay tuned for a speed round where Kojo gives his buy or sell verdict on emerging AI trends. Whether you're an AI enthusiast, investor, or entrepreneur, this episode is packed with thought-provoking discussions and valuable insights you won't want to miss. Let's dive in!Kojo Osei( Kojo's Blog )( Matrix VC )( Kojo Linkedin )( Kojo's Twitter / X )Rob Links ( halfcourt.vc )( Rob AI Newsletter )01:00 - Competition drives inference costs reduction significantly.05:35 - Evolution of tech parallels Internet's media expansion.09:28 - Open source enhances adaptability; application layer underrated.11:42 - OpenAI achieved rapid growth, comparable to Google.15:55 - AI needs business model to capture value.18:07 - AI impersonation threats impact identity-centric businesses.22:34 - Lead with curiosity; choose inspired over anxious.23:52 - Gratitude expressed; requests blog URL for more.

Welcome to another exciting episode of 'AI Innovators with Rob May.' This is the podcast where we dive deep into the transformative world of artificial intelligence and its impacts across various industries. I'm your host, Rob May, and today, we have a fascinating episode lined up for you.In today's episode, we're thrilled to be joined by two incredible guests, Steve Peltzman and Sam Koch. Steve is here to shed light on the limitations of traditional surveys in identifying specific issues, particularly in public restrooms, and to emphasize the unparalleled insights provided by real-time data. Sam, on the other hand, has extensive experience in automating workflows using AI within the private equity space and will be sharing some innovative applications of AI in enhancing operational efficiency at Feedback now—a company renowned for its groundbreaking restroom feedback buttons and real-time data collection through IoT devices.We'll explore how Feedback now's technology extends beyond restroom feedback to improve services in hospitals and other facilities. Additionally, we'll discuss a three-tiered AI adoption strategy that businesses can use to integrate AI effectively, the importance of measuring and optimizing facilities like older airport bathrooms, and the critical role of agility and real-time feedback in smaller companies.Whether you're an executive looking to adopt AI in your operations or simply curious about the future of AI, this episode is packed with insights, real-world examples, and actionable advice. So, without further ado, let's jump right into our conversation with Steve Peltzman and Sam Koch. Stay tuned!"Contact Feedback Now https://feedbacknow.com/[email protected]'s LinkedinSteven Linkedin Rob Links ( halfcourt.vc )( Rob AI Newsletter )04:23 – Leveraging AI to automate private equity deal sourcing.09:34 – Exploring the customer journey: interconnected experiences and lack of control.13:50 – Integrating diverse data sets with real-time AI for enhanced insights.16:41 – Accelerating transactions to boost spending and elevate customer experience.19:31 – Encouraging feedback participation to influence system improvements.21:44 – How schedule changes and feedback lead to greater efficiency and savings.26:41 – Managing egos: Sam’s leadership transformation focused on innovation.29:59 – Overcoming barriers: Avoiding comfort in victimhood.31:26 – Enhancing decision-making by learning from past mistakes.

Welcome to AI Innovators podcast with your host, Rob May.In this episode of the AI Innovators podcast, I chat with Jason Patel, founder of Openforge.Jason shares his intriguing journey of building an AI-powered email sales tool, highlighting the dynamic decision-making process about the right level of AI integration into their tech stack. Openforge aims to enhance the email sales experience, and Jason discusses the company's evolving strategy, navigating whether to adopt platform models and capturing market momentum.We delve into Openforge's choice of using Claude from Anthropic as their primary Large Language Model (LLM) and compare it to other AI models, like OpenAI. Jason reveals how Claude excels in parsing natural language and providing nuanced responses in sales communications, emphasizing the arms race in AI development.The conversation also addresses the potential future of AI in sales and customer acquisition. Jason speculates on the evolving role of AI agents, suggesting that while AI might handle much of the grunt work, the indispensable human touch in sales and customer interactions will continue to hold significant importance.Additionally, we discuss the rapid pace of AI advancements and how this new wave influences entrepreneurial strategies. Jason reflects on his experiences as a second-time founder, contrasting his previous edtech venture with the current AI-driven landscape, and underscores the necessity for founders to remain agile and pivot swiftly in response to market changes.Tune in to gain insights on how to navigate the ever-changing AI ecosystem, the importance of embracing market feedback, and the future trajectory of AI in transforming industries.Guest Links: ( Open Forge Ai/ )( Jason's Linkedin )Rob Links ( halfcourt.vc )( Rob AI Newsletter )05:10 AI development is an ongoing competitive arms race.07:14 AI supports tasks; human connection remains essential.12:29 Embrace change; future communication methods are unknown.15:58 AI ecosystem evolution prompts shift to platform.18:55 Potential AI monopolies threaten economic diversity.21:24 Entrepreneurship: Celebrated, yet challenging and financially dire.23:46 Tune in to AI Innovators podcast, subscribe.AI Innovators Podcast : interviews technical leaders, investors, and business executives about the impact AI is having on business models, markets, products, and consumer behavior. We investigate impacts on public and private markets, from startups, to large companies like Amazon, Google, and Facebook. If you invest at any level and are looking to understand how AI will impact your world, please subscribe. Presented by HalfCourt Ventures

Welcome to AI Innovators podcast with your host, Rob May. In this episode of the **AI Innovators podcast**, I chat with Alex Gunnarson and Zach Hudson, co-founders of Onton (formerly known as Deft). Onton was born out of Alex's frustration when he spent 30 hours searching for a specific couch, an experience shared by many online shoppers. The duo identified significant inefficiencies and trust issues in existing e-commerce search engines, which often resulted in shoppers spending extensive time across multiple websites to make a purchase over $50. Alex and Zach describe their journey from basic vector search techniques to developing advanced AI integrations, including natural language processing and color data sets, to enhance search capabilities. They introduce their self-learning system that improves search results based on user queries, utilizing the principle of compositionality. This innovative approach allows their search engine to generate outputs far beyond its training set, facilitated by a highly expressive knowledge graph database.The conversation explores philosophical influences like Douglas Hofstadter and symbolic logic, advocating for a neuro-symbolic AI system as the next frontier. They highlight the recent shift towards consumer AI driven by genuine pain points and the novelty of AI solutions, making such investments appealing and less risky. Onton's success in reducing search friction and enhancing personalization demonstrates the value of consumer AI.Addressing the long-term defensibility of Onton, they emphasize their unique, clean data pipeline and search index. They also discuss the necessity of solving current AI limitations to progress toward AGI, expressing skepticism about immediate breakthroughs. Guest Links: (https://onton.com/ )(Alex's Linkedin)(Zack's Linkedin)Rob Links ( halfcourt.vc )( Rob AI Newsletter )01:00 Co-founders solved e-commerce search problem differently.04:52 Developed robust parser for natural language processing.08:04 Shopping is time-consuming and depends on data accuracy.12:33 Blended symbolic and connectionist approaches enhance AI.15:00 AI drives renewed interest in consumer startups profitability.19:12 Core business products are defensible, not minor improvements.21:29 AGI's actions depend on differing objective functions.23:34 Finding value in small moments amid life's anxieties.

Welcome to AI Innovators podcast with your host, Rob May. In today's episode, we're excited to delve into the dynamic landscape of AI with Derek Larson, a seasoned entrepreneur and founder of multiple AI ventures. Derek also leads the New York AI group, a thriving community for AI enthusiasts and professionals.Together, Rob and Derek explore Derek's journey from his early entrepreneurial days, building marketing tools for small businesses, to his latest endeavors in mental health and therapist-focused AI tools. They discuss the evolution of AI acceptance, the hype around LLMs, and the practical challenges faced by AI startups today. Derek sheds light on the unique tech ecosystem in New York, comparing it to the Bay Area, and shares his insights on the trends that excite him the most and those he believes are overhyped. They also discuss the potential and limitations of AGI, the complexities of AI applications, and the importance of selecting the right problems to solve with AI.Finally, Derek offers valuable advice for aspiring entrepreneurs, emphasizing the necessity of passion and resilience in the startup world. This episode is packed with insights for anyone interested in the AI industry, from seasoned professionals to newcomers. So, tune in and join us as we navigate the fascinating world of AI innovation.Guest Links: (https://kin.is/)(https://newyorkai.org)(https://www.linkedin.com/in/derek-larson/)Rob Links ( halfcourt.vc )( Rob AI Newsletter )06:27 New York forces diverse problem-solving, unlike Bay Area.09:52 Skeptical about $100 billion valuation and competitiveness.10:38 Doubts about AGI potential and inherent limitations.14:10 Osmo uses AI to interpret chemical structures.17:23 Structured outputs for language models; efficiency crucial.20:29 Earn well and enjoy building unique tech.

Welcome back to another episode of the AI Innovators podcast! I'm your host, Rob May, and today we have a fascinating conversation lined up with an extraordinary guest, Jaclyn Rice Nelson, co-founder and CEO of Tribe AI.In this episode, we delve into Jaclyn’s exhilarating journey from the world of venture capital to founding Tribe AI. We'll explore her unique perspective on the AI landscape, including the current trends, challenges, and remarkable possibilities that lie ahead. Jacqueline shares insightful stories from her background in finance to her transformative experiences at Google, and how these shaped her path into AI entrepreneurship.Stay tuned as we discuss the evolution of AI use cases in enterprises, the roadmap for Tribe AI’s innovative solutions, and Jaclyn’s invaluable advice for aspiring entrepreneurs navigating their own unpredictable journeys. Get ready to be inspired by her passion, wisdom, and the foundational belief that navigating the complexities of AI can lead to unprecedented business value.Join us for a compelling conversation about the future of AI, its real-world impact, and the exciting developments at Tribe AI. Don't miss out—tune in and get inspired by this trailblazer in AI innovation!Tribe.aiLinkedinhalfcourt.vcRob AI Newsletter03:18 – The Startup Experience: Learning at Google and growing by collaborating with engineers.07:48 – AI Reality Check: Disillusionment with AI but recognizing its untapped potential.09:55 – Strategy & AI: How to align AI initiatives with business goals for maximum impact.14:12 – Modular AI Platforms: Using modular components to accelerate delivery and innovation.18:41 – Key to Success: The role of persistence in distinguishing successful entrepreneurs from the rest.20:08 – Wrap-up: Tune in to the AI Innovators podcast and suggest future guests!AI Innovators Podcast interviews technical leaders, investors, and business executives about the impact AI is having on business models, markets, products, and consumer behavior. We investigate impacts on public and private markets, from startups, to large companies like Amazon, Google, and Facebook. If you invest at any level and are looking to understand how AI will impact your world, please subscribe. Presented by HalfCourt Ventures

Welcome to back to another episode of the AI Innovators podcast! I'm your host, Rob May, and today we're diving into the intersection of AI and human psychology with two incredible guests, Arthur Tisi and Harold Goldstein from Hunova. In this episode, we'll uncover the journey behind Hunova's innovative use of AI to enhance workplace performance and reduce bias, and we'll explore the blend of proprietary models and ensemble techniques that drive their cutting-edge solutions. Stay tuned as we discuss the challenges and breakthroughs in adopting AI for talent assessment, the impact of large language models, and valuable insights for emerging entrepreneurs. Get ready to learn, be inspired, and rethink how AI can revolutionize the workplace. Let's jump right in!**01:00** - ChatGPT made AI more accessible and sparked a lot of curiosity around it.**05:46** - Hunova blends AI with psychology to drive business results.**06:36** - Combining different AI models leads to better performance on social media.**10:44** - Adoption of AI in the workforce has been slower than expected.**15:42** - Bias in hiring is influenced by both AI and human factors, affecting candidates.**19:48** - AI helps reduce bias and highlight diverse talents.**21:18** - Proprietary and diverse AI models deliver high accuracy, not just relying on GPT.**26:49** - Early-stage startup tasks are often avoided because they make people uncomfortable.https://www.linkedin.com/in/arthurtisi/http://www.hunova.com

Welcome to the AI Innovators podcast with your host, Rob May.Today, we're joined by Margaret Quigley from Cohere, a pioneering company in the AI space. Margaret has a unique role that involves sourcing unconventional and valuable data sets for training AI models. From rural villages in Nigeria to complex face recognition apps, her journey through the tech industry is both fascinating and inspiring. Margaret shares her career path, creative data acquisition strategies, and insights into the ever-evolving landscape of AI data needs. Whether you're an entrepreneur, executive, or academic, this episode offers a deep dive into the intricacies of data acquisition and its pivotal role in AI innovation. Tune in as we explore the challenges, opportunities, and future of sourcing data for AI.https://www.linkedin.comhttp://cohere.com/01:00 - Managed partnerships and sourced unique data for facial recognition projects. Now focuses on acquiring text data, with seven years of experience in data acquisition.05:25 - Talks about how companies figure out the value of data by sampling and testing it for quality before making big investments.08:17 - Discusses an app that verified image submissions and collected diverse data from over 15,000 users.11:02 - Highlights the importance of considering emotional factors when evaluating tech, and the balance between synthetic and real-world data.17:09 - Stresses the importance of being mindful, noticing sensations, and practicing body scans regularly.18:11 - Shares thoughts on persisting through rejection in one's career.

Competera enables retailers to increase customer trust by setting and maintaining optimal price positions on a real-time basis by leveraging the power of AI.Competera’s deep learning algorithms enable their enterprise clients’ to rebound on average 6% of gross margin by continuously calculating and re-quantifying billions of possible price combinations. In this podcast, CEO & co-founder Alex Galkin addresses how AI is changing pricing for different types of customers. He also talks about the different AI methods and approaches he prefers as well as the data he uses when it comes to pricing. Learn more at competera.ai

Anyw.ai sells a fully packaged business solution by helping businesses stay in touch with their users. The company gives businesses actionable and quantitative packaged feedback from their users. In this podcast, CEO, Manuel Zahariev, talks about the LLM wave and the premise of their company in the latest wave of AI technology. Learn more at anyw.ai

Lovelace uses AI to bring worlds to life as a generative 3D content/experience platform. In this podcast Kayla Comalli, co-founder and CEO, talks about what can be created in these worlds and some of the challenges the company has faced. By leveraging avant-garde 3D generation, players can seamlessly create bespoke, photorealistic worlds. Learn more at lovelacestudio.com

CalypsoAI gives organizations the ability to trust their AI through validation, monitoring, and ongoing security. The company empowers enterprises to leverage the immense potential of Large Language Models (LLMs) confidently and without risk. In this podcast CEO, Neil Serebryany, talks about the personal security implications of using LLMs such as cyber threats and the production of false information. Learn more at calypsoai.com

Centaur Labs provides skilled data annotation services for companies that are building AI, specifically in the medical and life science industries. The company’s scalable and high quality data annotation platform continuously measures the accuracy of data annotators, whose annotation quality is motivated by pay-for-performance incentives, and optimized by collective intelligence. In this podcast Co-founder and CEO, Erik Duhaime, talks about how Centaur Labs uses AI in data labeling and addresses the fears people have regarding the idea that AI will take people’s jobs away. He also talks about the nature of data annotation changing as the AI space keeps improving and the impact on demand for data labeling. Learn more at centaurlabs.com

Central Casting AI provides game developers with pre-trained non-player characters (NPCs) for games. These characters come with intelligence, behaviors and dialogue that can interact with objects in the real world. In this podcast Co-Founder Jeff Orkin talks about how Central Casting encodes the rules of common sense in to the characters, the business of the video game industry and the gaming community’s future with AI. The company uses the generative models at the developers’ authoring time to assist designers to then output a traditional structured model of behavior called a planning domain in a hierarchal task network planner. Learn more at centralcasting.ai

Consensus is a product led, product first company with a mission to make science accessible and consumable for all using AI. Consensus uses natural language processing to ingest research papers and understand what the consensus is on any type of scientific issue. The Consensus product is essentially a search engine, powered by language models that allows one to search a natural language research question. In this podcast, Co-Founder Eric Olson talks about his athletic but non-scientific background and how he entered the AI space through his career. Eric came up with the idea for Consensus after spending years as a die-hard amateur science consumer and wanting access to better evidence-based information at the click of a button. In the podcast, Eric also talks about how the business was affected when Chat GPT was launched and his future predictions for Chat GPT. Learn more at consensus.app

Radical Ventures is the largest AI focused VC fund in North America. From healthcare and financial services to infrastructure and manufacturing, Radical Ventures partners with founders who understand the transformational power of AI. In this podcast partner Parasvil Patel talks about the culture behind the company and where he expects to see long term moats emerge for AI companies. Rob also gives Parasavil the chance to argue for or against the points Rob made in his Substack article called “5 Contrarian AI Theses For Early Stage Investors.” Learn more at radical.vc

In this podcast Founder, Alex Wiltschko, talks about how Osmo is adding a new sensory modality to machines by teaching them to smell through reading, mapping and writing smell. He also talks about the company’s findings on the difference between vision and smell when represented by machines. Alex has solved the core problem of predicting what a molecule smells like through super human scent prediction performance. Osmo envisions a future where computers will capture and understand the chemical world to help us enjoy new smells and tastes, recall memories, forecast opportunities and danger, and make life-saving decisions. Learn more at osmo.ai

Piction Health uses AI to identify skin diseases to streamline their virtual care delivery. Piction Health provides immediate help and support for the patient’s hair, skin, and nail issues. In this podcast, Cofounder, Susan Conover talks about the use of AI as it relates to images of skin. Susan talks about how the company was formed from her own personal experience being diagnosed with melanoma. Learn more at pictionhealth.com

Intelligent Relations combines the latest AI technology with deep PR industry expertise to democratize access to the media. In this podcast, Chairman, Rob Shavell talks about how he started an AI first PR company and where PR is going in a world of generative AI and large language models. Rob talks about where one can use AI in PR and how Intelligent Relations applies AI to PR. Learn more at intelligentrelations.com

Untether AI helps companies execute AI workloads to run neural networks faster and more cost-effectively using at-memory computing. In this podcast, CEO, Arun Iyengar talks about why GPUs are still holding us back, regardless of their success and how Untether came to fruition. Learn more at untether.ai

MemoryWell combines the power of storytelling with innovative data insights to help care providers provide more empathetic and personalized care to their patients. MemoryWell also launched PlanAllies, which helps health plans onboard and engage new members so that they get the most out of their plans. In this podcast, Founder & CEO Jay Newtown-Small talks about the importance of delivering person-centered care within the long-term care, hospitals and home care space. Jay talks about the AI listening component they are building within their software. Learn more at memorywell.com and planallies.com.

Akooda is the world's first Ops Intelligence platform, providing true insights on top of existing SaaS tools used across the digital footprint. Akooda gives managers and leadership visibility and insights into their customers, projects, and resource allocation to boost revenue and improve productivity. In this podcast, CEO and Founder Yuval Gonczarowski defines the rising category of Ops Intelligence, explains the tools the company has built using semantic analysis and describes the company’s value and strategic add to other organizations from a operational standpoint. Learn more at akooda.co

Synthetic Users is service that uses LLMs for user feedback. Their goal is to make product discovery faster, more affordable and more efficient than ever before for customers. In this podcast, CEO and Founder, Kwame Ferreira talks about the concept of synthetic data while defining what synthetic users are, where they came from, and where synthetic data is going in the future. Learn more at syntheticusers.com

TermScout is an AI tool that highlights key components of common business contracts and informs the user if they are standard market terms or outliers.  In this podcast founders Otto Hanson and Evan Harris talk about the challenges of doing NLP on contracts, why contracts are more commerce tech than legal tech, and how they wish someone would build an asynchronous workplace communication super app.  Learn more at termscout.com

Tommy Weir is the CEO of Enaible, a company focused on enterprise AI productivity tool.  Hear Tommy talk about lessons learned measuring productivity, how to sell AI into large companies, and how generative visualizations are the one piece of tech Enaible would love someone to build to help improve their tool.

Mady Mantha is the Co-Founder and CTO at HappyPillar - an app that uses NLP to help coach parents through better interactions with their children.  Hear Mady talk about the trends in NLP and how they led to the possibility of creating apps like HappyPillar, and the impact they are having on families.

Hear Benjamin Cohen, CEO of Proton.ai, talk about how to apply artificial intelligence to the distribution business - a large sector of the economy currently underserved by AI.  Benj talks about how he stumbled on the idea, and how to recruit AI talent for companies in sectors that are less commonly tech-enabled.

In this episode, I talk to Michelle Zhou about chatbots, natural language processing, and why teaching AI to listen is as important as teaching AI to speak.

In this episode I interview Amy Webb from the Future Today Institute, and we discuss her book on technology - The Big Nine, and all the issues AI/ML create for the world that we need to address.

In this episode, I talk to Rob Aitken from ARM about AI hardware and the future of edge AI.  Rob explains the differences between CPUs and GPUs, what we mean when we say AI accelerators, and the future of AI hardware.  

In this episode, Ash Fontana discusses his book "The AI-First Company:  How to Compete and Win With Artificial Intelligence".  We discuss the role of data network effects, how data learning effects are bigger and more important, and many other AI related topics.

In this episode, Karim Lakhani, a professor at Harvard Business School,  discusses his book "Competing in the Age of AI."  We talk about how vectors of competition change in an AI world, and how traditional business strategy has to adapt.

Upstart is a publicly traded company (NASDAQ:  UPST) that provides AI powered loan approvals for banks.  Listen as Dave talks about why there is a huge gap in approvals, and thus an opportunity for Upstart, and how to build competitive advantage in AI related spaces.

In this episode, Matt Jones from Sourse discusses a common challenge among AI companies - how much to focus on a horizontal platform vs a vertical integration play.  It comes up a lot in the AI companies I see, so listen in to hear Matt's take on how they worked through the process and found a solution.

Rana is computer science PhD,  an expert in AI for emotions, and CEO of Affectiva.  Listen in to hear her discuss emotional computing, using AI to detect emotions,  the MLOps tech stack, the role of synthetic data in training models, and more.

Anno.ai is a machine learning platform that started in the government sector but expanded into commercial use for other customers needing security and privacy around data labeling and model management.  Ashley Antonides, VP of Data Science at Anno, joins me here to discuss data labeling, government requirements around machine learning models, and many other topics.

Edge AI is one of the most explosive areas of growth for AI, and Deeplite is a market leader in compressing AI models so that they work on the edge.  Hear Davis talk about the technology and how it will impact edge devices as that market approaches the size of the cloud computing market.

Kevin Roose recently released a book called Futureproof - about how to stay relevant in a world of increasingly automated work.  In this episode Kevin and I discuss AI and automation and relevant topics from the book.

In this episode, Yashar and Sergey from Synthesis.ai discuss the uses of synthetic data.  This topic is becoming increasingly important for AI, and we discuss how it enables companies to expand smaller data sets, run AI simulations, and more.

In this episode I interview James Cham from Bloomberg Beta.  We discuss the book "The Man Who Lied to His Laptop" and the book "Prediction Machines" about the economics of AI.  We discuss how startups compete with big companies when it comes to AI and the data sets needed, and we have a spirited debate about whether or not AI is the new electricity.