AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
En podkast av AI & Data Today
Kategorier:
457 Episoder
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AI Today Podcast #017: Assistant-Enabled Commerce (AEC)
Publisert: 27.12.2017 -
AI Today Podcast #016: Explainable AI (XAI)
Publisert: 20.12.2017 -
AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam
Publisert: 13.12.2017 -
AI Today Podcast #014: AI and IoT – Interview with Rashmi Misra, Microsoft
Publisert: 6.12.2017 -
AI Today Podcast #013: Avoiding Biases in AI Training Data – Interview with Tess Posner of AI4All
Publisert: 29.11.2017 -
AI Today Podcast #012: Chatbots – Are they Useful?
Publisert: 22.11.2017 -
AI Today Podcast #011: BMW investing in AI – Interview with Sam Huang of BMW iVentures
Publisert: 15.11.2017 -
AI Today Podcast #010: AI, Universities and the Knowledge Gap with Steve Kuyan of FutureLabs
Publisert: 8.11.2017 -
AI Today Podcast #009: Investing in AI with John Frankel of ffVC
Publisert: 1.11.2017 -
AI Today Podcast #008: Weak, Strong AI – Do these Terms Matter?
Publisert: 25.10.2017 -
AI Today Podcast #007: AI in the FinTech Industry: Interview with Kumar Srivastava
Publisert: 18.10.2017 -
AI Today Podcast #006: Should We Regulate AI? If So, How?
Publisert: 11.10.2017 -
AI Today Podcast #005: The AI Winters
Publisert: 4.10.2017 -
AI Today Podcast #004 – Guest Expert: James Barrat author of “Our Final Invention: Artificial Intelligence and the End of the Human Era”.
Publisert: 27.9.2017 -
AI Today Podcast #003 – Guest Expert: Oliver Christie: “Have predictions for AI in 2017 Come True?”
Publisert: 20.9.2017 -
AI Today Podcast #002: Should We Be Scared of AI?
Publisert: 13.9.2017 -
AI Today Podcast #001: Why Does AI Matter?
Publisert: 6.9.2017
Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI.