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AI Today Podcast #025: Interview with Matt Gardner, St. Louis Blues (NHL Hockey Team) – Facebook Chatbot Fan engagement

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. …

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Intelligent Process Automation: The 4 Levels of AI-Enablement

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Solving Increasingly Harder to Automate Tasks During the industrial revolution, automation enabled machines to take over the hard, repetitive tasks that humans did, and replaced them with much faster, more robust, and less tiring steel, steam, gear …

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AI Today Podcast #024: Interview with Ofer Ronen, Chatbase and Google Area 120

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 …

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AI Today Podcast #023: Hot Topics – Sophia Robot and Andrew Ng’s new $175M AI Fund

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 …

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AI Today Podcast #022: Intelligent Process Automation (IPA)

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 …

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Intelligent Process Automation Market Report 2018

Document ID: CG014 | Last Updated: Jan. 29, 2018 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 …

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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 …

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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 …

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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 …

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Cognilytica’s AI Positioning Matrix (CAPM)

“It’s not the position, but the disposition.” — Susan Sontag, Author Why is a Positioning Matrix Needed? The market for artificial intelligence (AI) products and services continues to expand at a dramatic pace. Every day there’s a new development or announcement of a new AI product, service offering, technology, and application of AI. How can …

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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 …

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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 …

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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 …

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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 …

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AI Today Podcast #011: BMW investing in AI – Interview with Sam Huang of BMW iVentures

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 …

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AI Today Podcast #009: Investing in AI with John Frankel of ffVC

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: …

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AI Today Podcast #008: Weak, Strong AI – Do these Terms Matter?

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 …

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AI Today Podcast #007: AI in the FinTech Industry: Interview with Kumar Srivastava

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 …

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AI Today Podcast #006: Should We Regulate AI? If So, How?

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 …

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The AI Reading List

Like many of you, we’re constantly learning and reading about Artificial Intelligence (AI) and related areas. Below are our collected articles and research papers that we’ve found useful: What is AI Google Brain Lecture http://blog.ycombinator.com/jeff-deans-lecture-for-yc-ai/?src=hn What is AI http://searchcio.techtarget.com/definition/AI https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/ http://www.alanturing.net/turing_archive/pages/reference%20articles/what_is_AI/What%20is%20AI02.html http://www-formal.stanford.edu/jmc/whatisai/ Deep Learning https://medium.com/@andrewng/deeplearning-ai-announcing-new-deep-learning-courses-on-coursera-43af0a368116 https://news.ycombinator.com/item?id=14958779 Machine Learning https://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/ General/Strong AI (Artificial General Intelligence) https://docs.google.com/presentation/d/119VW6ueBGLQXsw-jGMboGP2-WuOnyMAOYLgd44SL6xM/preview#slide=id.g1e3df2d686_0_12 …

The AI Reading List Read More »

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