Splice Machine Announces the Launch of 'ML Minutes' - a Short-Form Podcast That Highlights Advances in Machine Learning
SAN FRANCISCO, Oct. 15, 2020 /PRNewswire/ -- Splice Machine, the only scale-out SQL database with built-in machine learning, today announced the launch of 'ML Minutes,' a new podcast designed to democratize machine learning and make it more exciting to a broader audience. Hosted by Splice Machine co-founder and CEO, Monte Zweben, every 15-minute episode feels like a conversation with a friend, except each friend is a cutting-edge ML researcher or practitioner.
"There is a huge disparity in technological literacy in the US," said Zweben. "There are many long-form podcasts out there that wax poetic about the exciting details of machine learning and AI, and there is a distinct audience that enjoys and benefits from this format. But there is a much broader audience out there that desires knowledge about how ML can benefit society. We want to reach this audience, and help overcome 'terminator-itis', or the misconception that AI is going to take over the world and "destroy humans."
In every episode, guests have only one minute to answer each question. The show generally follows the path of: tell us about yourself, what's the problem you're solving, why does it matter, how are you studying it, what challenges have you faced, how have you overcome them, and what's next. Additional bonus questions vary depending on the guest, and allow the speaker to go deeper into topics of interest.
The first three episodes will go live today and include interviews with:
"I'm excited to be a part of this new endeavor," said Tom Mitchell, Professor of Machine Learning at Carnegie Mellon University. "It's not easy to present machine learning in a way that's both accessible and accurate, but Monte's the rare person who can do both. It was a real pleasure to participate -- and fun to come up with 60-second answers to each question. I'm looking forward to seeing where this goes!"
ML Minutes is now available wherever you get your podcasts (Spotify, Apple, Google, Stitcher, Overcast, Amazon, and more). For more information on the podcast and a calendar of upcoming guests, visit mlminutes.com.
About Splice Machine
Splice Machine is the only scale-out SQL database with built-in machine learning. Splice Machine slashes software, infrastructure and people costs by combining operational workloads (OLTP), analytical workloads (OLAP), and machine learning (MLOps) into one seamless Kubernetes-powered architecture. Enterprises build new intelligent applications on the Splice Machine RDBMS, extend existing applications with AI, and modernize their applications in the cloud with virtually no rewrites. Companies can offload data from more expensive RDBMS systems easily and get the most efficient path to operational AI. Splice Machine is available as a fully-managed cloud service on AWS, Azure, and GCP and is also available on-premise. Learn more at www.splicemachine.com.
Splice Machine is a trademark of Splice Machine, Inc. All other trademarks are the property of their respective registered owners. Trademark use is for identification only and does not imply sponsorship, affiliation, or endorsement.
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SOURCE Splice Machine