In this Data Point, I stream live from the beach to talk about how sometimes specific predictions of the future are correct, even if they miss some details.

In the 1990s, AT&T ran a series of commercials, highlighting the ways in which the internet would transform our lives. One that stands out is the prediction that we would eventually send faxes from the beach.

In 2020, the fax machine is somewhat of a relic. In the 90s, the concept of livestreaming on a platform like Facebook, would have seemed too far fetched at the time.

Show Notes

Press the play button below to listen here or visit the show page at DataDriven.tv.

Siraj Raval explains Quantum Machine Learning in the fun and approachable way he’s know for.

Quantum Machine Learning may sounds daunting to most people, but it’s way more fun to learn about than Classical Machine Learning. Creative algorithms that leverage concepts like quantum entanglement and superposition are already being studied by various teams to enable new solutions in fields like Chemistry, Finance, Supply Chain, and Energy. 

Before you email or comment regarding controversies around Siraj, I said my piece in a Data Driven data point.

Listen to that before you send angry comments my way. Winking smile

Did you ever wonder how much further AI can scale?

In this session, Nidhi Chappell (Head of Product, Specialized Azure Compute at Microsoft) and Christopher Berner (Head of Compute at OpenAI) share their perspectives and insight about how the Microsoft-OpenAI partnership is taking significant steps to eliminate the barriers of scale to AI processes.

Of specific interest is OpenAI’s new GPT-3 natural language processing model that required 175 billion parameters to train properly.

The rapid evolution of the cloud to support massive computational models across HPC and AI workloads is shifting paradigms giving customers options that were previously only possible with dedicated on-premises solutions or supercomputing centers.

Steve Scott, Technical Fellow and CVP Hardware Architecture at Microsoft Azure, shares his experiences from his first 5 months at Microsoft.

Learn more: https://azure.microsoft.com/en-us/solutions/high-performance-computing/