AI Today Podcast

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.