Here’s an interesting perspective on how AI is already impacting our lives through customer service chat bots. Press the play button below to listen here or visit the show page

Show Notes

AI Today Podcast #47: AI in Customer Service — AI Use Case Series

Artificial Intelligence is allowing companies to improve customer service in ways not possible before.  Chatbots allow companies to have an always-on agent that can be integrated into customer support service teams to answer questions or help provide more relevant products and services based on customer preferences. AI enabled systems can help handle complicated, multi-step transactions that are often error-prone such as loan application or student applications or real estate.

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Terrabytes, Petabytes, and Yottabytes. We toss these terms around quite casually, but do we really know how huge these are?

Using grains of rice and retro computer graphics reminiscent of the Computer Chronicles, the YouTube channel “It’s OK to Be Smart” explores how big big data is and what the future of data storage may be.

I’ll be headed off to Las Vegas this week for an internal Microsoft event. When this video on “taking the luck out of gambling” with Mathematics, came across my desk, I thought it was timely and good enough to share.

From the video description:

Spanning mathematics, psychology, economics and physics, Adam Kucharski reveals the long and tangled history between betting and science, and explains how gambling shaped everything from probability to game theory, and chaos theory to artificial intelligence.

Spend some time in Python and you’ll likely encounter its bytecode files — those ‘.pyc’ files Python likes to leave behind after it runs.

Have you ever wondered what’s really going on in those files? Watch this video from PyCon 2018 to learn more about these files and what’s in them.

ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into existing .NET apps through a code-driven and UI driven approach.

ML.NET has been used extensively within Microsoft by Windows, Azure, SQL & Bing for a decade and now these capabilities are available to all .NET developers.