AI Today Podcast

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.

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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.