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    Technology

    AI Today Podcast

    The top podcast for those wanting no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.

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    Copyright: Copyright © 2023 Cognilytica

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    Latest Episodes:
    AI Today Podcast #021: “Project Katana” – Interview with Santiago Braje, Global Head of Credit Trading at ING Jan 25, 2018
    Show notes AI Today Podcast #021: “Project Katana” – Interview with Santiago Braje, Global Head of Credit Trading at ING

    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.

    AI Today Podcast #020: Augmented Intelligence Jan 18, 2018
    Show notes AI Today Podcast #020: Augmented Intelligence

    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.

    AI Today Podcast #019: Cognilytica’s AI Positioning Matrix (CAPM) Jan 10, 2018
    Show notes AI Today Podcast #019: Cognilytica’s AI Positioning Matrix (CAPM)

    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.

    AI Today Podcast #018: Cognilytica AI Predictions for 2018 Jan 05, 2018
    Show notes AI Today Podcast #018: Cognilytica AI Predictions for 2018

    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.

    AI Today Podcast #017: Assistant-Enabled Commerce (AEC) Dec 27, 2017
    Show notes AI Today Podcast #017: Assistant-Enabled Commerce (AEC)

    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.

    AI Today Podcast #016: Explainable AI (XAI) Dec 20, 2017
    Show notes AI Today Podcast #016: Explainable AI (XAI)

    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.

    AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam Dec 13, 2017
    Show notes AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam

    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.

    AI Today Podcast #014: AI and IoT – Interview with Rashmi Misra, Microsoft Dec 06, 2017
    Show notes AI Today Podcast #014: AI and IoT – Interview with Rashmi Misra, Microsoft

    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.

    AI Today Podcast #013: Avoiding Biases in AI Training Data – Interview with Tess Posner of AI4All Nov 29, 2017
    Show notes AI Today Podcast #013: Avoiding Biases in AI Training Data – Interview with Tess Posner of AI4All

    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.

    AI Today Podcast #012: Chatbots – Are they Useful? Nov 22, 2017
    Show notes AI Today Podcast #012: Chatbots – Are they Useful?

    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.

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