How exactly do you define intelligence? Professor Alex Wissner-Gross, President and Chief Scientist at Gemedy and Fellow at Harvard Institute for Applied Computational Science has an answer. In this podcast, we interview Professor Wissner-Gross not only about his equation for defining intelligence, but also his thoughts that we need new challenges around data sets, as he believes data sets will get us to our goals of intelligence over algorithms. Continue reading AI Today Podcast #33: Interview with Prof. Alex Wissner-Gross — The Definition of Intelligence at Cognilytica.

Understanding Artificial Intelligence (AI) and all its various details including Machine Learning (ML) and Deep Learning is not easy. So it’s always a great delight when someone like Siraj Raval can explain these concepts and work through them in a practical way on his YouTube channel, and his new School of AI. In this podcast, we talk about the importance of data for AI, his thoughts on the future of AI, the connection between AI and blockchain, China’s adoption of AI, and the role of ML and other concepts within the larger strategy of AI. Continue reading AI Today Podcast #32: Interview with Siraj Raval – School of AI, YouTube Celeb at Cognilytica.

One of the other trends making the news and getting lots of attention is Blockchain. Proponents of blockchain claim that it will have fundamental, ground-breaking impact on all industries, changing the way that we transact with one another. Blockchain will enable greater degrees of transparency, trust, and decentralized control where governments and companies can’t own or manipulate the data at their will. Continue reading AI Today Podcast #31: AI and Blockchain — Double the Hype or Double the Value? at Cognilytica.

Every once in a while we have a podcast interview with someone that really makes us rethink some of the popular positions in Artificial Intelligence (AI) and Machine Learning (ML). This podcast’s interview with Luis Perez-Breva, faculty director of innovation teams at MIT’s School of Engineering and working with MIT Sloan School of Management, was one of those that really got us thinking about the relationship between data and Machine Learning and between Machine Learning and AI. Continue reading AI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and MLInterview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and MLAI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and ML at Cognilytica.

On Sunday, March 18, 2018, an autonomous Uber vehicle operating in autonomous mode struck and killed a pedestrian crossing the road — the first fatal autonomous vehicle accident on a public road to occur. We’ve now crossed the realm from the theoretical of what could happen in this scenario to the reality of the situation actually happening. Continue reading AI Today Podcast #29: The First Autonomous Vehicle Fatality — Now What? at Cognilytica.

Buckle your seatbelts. In this podcast, Cognilytica analysts Kathleen Walch and Ronald Schmelzer explain their vision for what the AI-Enabled Future looks like. Cognilytica believes that AI will impact all aspects of business, personal, and social life, and in this podcast, they explain the four major aspects in which AI will impact our every day lives. Continue reading AI Today Podcast #028: The AI-Enabled Future at Cognilytica.

AI is impacting all industries and aspects of society, and music is no exception. In this AI Today podcast, we interview YouTube Celebrity, actress, and musician Taryn Southern who has released an album entirely produced and composed by AI called “I  AM AI”. We discuss the four (and maybe even five) tools that Taryn used to produce this album as well as how easy it is for creatives to get started with AI in composing and working with music. Continue reading AI Today Podcast #027: AI in Music – Interview with Taryn Southern, YouTube Celeb and Musician at Cognilytica.

Chatbots, er… maybe we really mean Conversational Interfaces… are becoming more and more ubiquitous and part of our every day business and consumer lives. There’s a wide variety of both text- and voice-based conversational interfaces and devices. But the ones we’re most familiar with are the voice-based ones that sit on our countertops and office desks. Continue reading AI Today Podcast #026: Cognilytica Tested Voice Assistants, And You Might Be Surprised by the Results at Cognilytica.

In this podcast, we interview Matt Gardner who heads digital strategy for the St. Louis Blues professional hockey team (NHL). The St. Louis Blues have implemented an AI-powered Facebook Messenger bot tool to enhance the fan and spectator experience. Matt realized that fans  want to be engaged through social media moreso than websites and email. Continue reading AI Today Podcast #025: Interview with Matt Gardner, St. Louis Blues (NHL Hockey Team) – Facebook Chatbot Fan engagement at Cognilytica.

In this podcast, we are thrilled to interview Ofer Ronen, who is a general manager of Chatbase, which is a special project within the Google 120 internal project incubator. Chatbase is pioneering the space of chatbot analytics, and with the backing of Google it’s sure to be dominant in the market. In this podcast, we talk with Ofer about Chatbase, so-called “UMM” errors in chatbots, and also how the Google Area 120 internal incubator works to provide a hybrid startup / large company experience. Continue reading AI Today Podcast #024: Interview with Ofer Ronen, Chatbase and Google Area 120 at Cognilytica.

In today’s podcast, we’ll address some interesting hot topics that have recently been making news in the AI industry. In particular, Cognilytica senior analysts Kathleen Walch and Ronald Schmelzer talk about Hanson Robotics’ Sophia Robot that’s been making significant waves in popular media and press. We talk about whether Sophia is really advanced, how it’s helping … or not… the field of AI, and if it’s making advances in the field of Artificial General Intelligence (AGI). Continue reading AI Today Podcast #023: Hot Topics – Sophia Robot and Andrew Ng’s new $175M AI Fund at Cognilytica.

Robotic Process Automation (RPA)  is making significant improvements into company’s operations by replacing rote human activity with automated tasks. Artificial Intelligence (AI) is poised to give this new engine of productivity a gigantic boost. Systems that leverage machine learning (ML) to dynamically adapt to new information and data will shift these systems from mere robots that automate processes to Intelligent Process Automation (IPA) tools that can significantly impact the face of the knowledge worker economy. Continue reading AI Today Podcast #022: Intelligent Process Automation (IPA) at Cognilytica.

In this podcast, Cognilytica analysts interview Santiago Braje, Global Head of Credit Trading at ING, who is the primary lead of “Project Katana”, a special AI-driven internal project funded by ING’s innovation fund. The goal of project Katana is to provide an Augmented Intelligence platform that assists bond traders in market making. The primary problem they are solving is how to respond to request to bond clients where there isn’t a central exchange and orders are done over the counter. Continue reading AI Today Podcast #021: “Project Katana” – Interview with Santiago Braje, Global Head of Credit Trading at ING at Cognilytica.

Many see the future of artificial intelligence (AI) as the replacement of human activities with fully autonomous agents, freeing up  or replacing existing human labor to provide greater value for the organization. However, for many companies, fully substituting autonomous agents for their human counterparts is not technically possible at the moment and also may not be feasible or practical. Continue reading AI Today Podcast #020: Augmented Intelligence at Cognilytica.

To solve the needs of customers trying to evaluate the constantly changing landscape of AI solutions, we’re introducing the Cognilytica AI Positioning Matrix (CAPM)™. The goals of the CAPM matrix are two-fold: identify for each particular application of AI, what the “sweet spot” of required complexity for AI solutions are and how broadly applicable to a range of AI problem areas that solution needs to be; and position various solutions against that same matrix. Continue reading AI Today Podcast #019: Cognilytica’s AI Positioning Matrix (CAPM) at Cognilytica.

2018 is here! And we expect it to be a significant year for AI advancement. In particular, we have eight predictions that we believe will come to fruition in this upcoming year. Listen to this podcast and check out the accompanying article to hear about what we believe 2018 has in store for AI and the industry as a whole. Continue reading AI Today Podcast #018: Cognilytica AI Predictions for 2018 at Cognilytica.

E-commerce has fundamentally changed the nature of retail. The Internet and the world of e-commerce that was created and then mobile has made it such that you can now go from wanting an item to having it in a matter of hours without ever stepping foot outside your home or office and you also have access to a much larger selection of goods. Continue reading AI Today Podcast #017: Assistant-Enabled Commerce (AEC) at Cognilytica.

The more we involve AI in our daily lives, the more we need to be able to trust the decisions that autonomous systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. AI black boxes are scary when the decisions they make impact people personally. Continue reading AI Today Podcast #016: Explainable AI (XAI) at Cognilytica.

The more we involved AI in our daily lives, the more we need to  be able to trust the decisions that these systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. As the consequences of mistakes become more significant, it becomes more important to have visibility into the inner workings of AI decision-making, or in other words, AI Explainability. Continue reading AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam at Cognilytica.

What do you get when you combine two hot buzzwords? Something super hot, of course. In this case, we’re talking about the combination of Internet of Things (IoT), which has been an area of significant investment and adoption with Artificial Intelligence (AI) which is gathering more and more steam as time progresses. What’s interesting is that AI is uniquely suited for gathering critical information from the vast quantities of data generated by the millions (billions?) of connected devices on the Internet. Continue reading AI Today Podcast #014: AI and IoT – Interview with Rashmi Misra, Microsoft at Cognilytica.

The basis for most modern AI systems are Machine Learning and Deep Learning. It goes without saying that in order for something to be “learning”, something has to teach it. Specifically, what makes these systems effective is a large quantity of good training data that is relevant to the area in which you’re trying to gather intelligence. Continue reading AI Today Podcast #013: Avoiding Biases in AI Training Data – Interview with Tess Posner of AI4All at Cognilytica.

Humans were born to talk and communicate. Much of the brain is devoted to generating, sensing, processing, and understanding speech and communications in its various forms. When humans were building their first civilizations we were also expanding the spoken and written form of communication. We didn’t start communication with swipes and types, in fact for most of human history we did not have technology, so it’s no surprise that what we want from our interactions with machines is what we want with interactions with people: natural conversation. Continue reading AI Today Podcast #012: Chatbots – Are they Useful? at Cognilytica.

Companies across the board are investing in AI, and certainly automotive companies are ahead of the pack. The progress towards autonomous vehicles, more intelligent driving assistance, and even things like automated parking and crash avoidance are all evidence of AI impacting the automotive industry in deep ways. In addition, there’s a wide range of non-AI technologies that are also providing competitive advantage to automotive companies. Continue reading AI Today Podcast #011: BMW investing in AI – Interview with Sam Huang of BMW iVentures at Cognilytica.

NYU Tandon and FutureLabs recently ran an AI Summit (Oct 30-31, 2017) where Cognilytica and AI Today were proud partners.  We were able to sit down with Steve Kuyan, a managing Director at FutureLabs to get this thoughts on the Summit, how artificial intelligence is currently being taught in universities, and the knowledge gap that’s taking place around AI. Continue reading AI Today Podcast #010: AI, Universities and the Knowledge Gap with Steve Kuyan of FutureLabs at Cognilytica.

In this week’s podcast we interviewed John Frankel, Founding Partner at ff Venture Capital. We discussed his firm’s role at NYU FutureLabs Summit (where Cognilytica was a proud partner), the current state of the AI market from an investor’s perspective, and advice for enterprise and startup companies looking to have an AI strategy. Episode Sponsors: For over 25 years, QS has been helping prospective MBA candidates just like you make informed decisions about choosing the right business school. Continue reading AI Today Podcast #009: Investing in AI with John Frankel of ffVC at Cognilytica.

Artificial Intelligence has a broad spectrum of ability.  Many people try to classify AI as weak or strong, depending on how generally intelligent we want this system to be. The more an AI system approaches the abilities of a human, with all the intelligence, emotion, broad applicability of knowledge, the more “strong” it is. On the other hand the more narrow in scope, specific to a particular application a particular AI system is, the more “weak” it is in comparison. Continue reading AI Today Podcast #008: Weak, Strong AI – Do these Terms Matter? at Cognilytica.

Artificial Intelligence (AI) is making its presence felt in a wide range of industries. In this podcast, we interview Kumar Srivastava of the BNY Mellon Silicon Valley Innovation center on how AI is impacting fintech and what the future holds for the industry. Episode Sponsors: For over 25 years, QS has been helping prospective MBA candidates just like you make informed decisions about choosing the right business school. Continue reading AI Today Podcast #007: AI in the FinTech Industry: Interview with Kumar Srivastava at Cognilytica.

As the pursuit of AI continues, notable technologists and tech titans are sounding the warning bells for what possibly could happen in a future world dominated by superintelligent AI systems. Cognilytica wrote about this extensively in our Should We Be Scared of AI? [Cognilytica Research CG02] document and companion podcast. In that article, we write about how some are seeking to mitigate those fears through the use of laws and regulations that can be enforced upon adopters and developers of AI technology. Continue reading AI Today Podcast #006: Should We Regulate AI? If So, How? at Cognilytica.

[wpdm_package id=’180′] Show Notes: Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. Continue reading AI Today Podcast #005: The AI Winters at Cognilytica.

AI Today Podcast #004 – Guest Expert: James Barrat author of “Our Final Invention: Artificial Intelligence and the End of the Human Era”. Show Notes: On today’s show we interview James Barrat, author of “Our Final Invention: Artificial Intelligence and the End of the Human Era”.  We discuss why James wrote this book 3 years ago now, how far away he really thinks we are from artificial human intelligence, the warning bells recently being sounded about artificial intelligence, and why he thinks there will not be another AI winter. Continue reading AI Today Podcast #004 – Guest Expert: James Barrat author of “Our Final Invention: Artificial Intelligence and the End of the Human Era”. at Cognilytica.

Podcast #003 – Guest Expert: Oliver Christie: “Have predictions for AI in 2017 Come True?” Show Notes: On today’s show we interview guest expert Oliver Christie and discuss his 5 predictions for artificial intelligence in 2017.  Now that we’re about two thirds of the way through 2017 we discuss what happened with his predictions – which ones came true, which ones are still in the far future.   Continue reading AI Today Podcast #003 – Guest Expert: Oliver Christie: “Have predictions for AI in 2017 Come True?” at Cognilytica.

AI Today Podcast #002: Should We Be Scared of AI? For a more in-depth and detailed report of the topics discussed in this podcast, download our FREE research report: [wpdm_package id=’130′]   Show notes: With the recent resurgence of interest in Artificial Intelligence (AI), there’s a tidal wave of investment, activity, and attention being placed on all things even remotely connected to AI technologies. Continue reading AI Today Podcast #002: Should We Be Scared of AI? at Cognilytica.