Babbage is our weekly podcast on science and technology, named after Charles Babbage—a 19th-century polymath and grandfather of computing. Host Alok Jha talks to our correspondents about the innovations, discoveries and gadgetry shaping the world. Published every Wednesday. If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about Economist Podcasts+, including how to get access, please visit our FAQs pa ...
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Splice Machine: The Operational Data Platform
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Manage episode 243436783 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Splice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 being held April 23-25, in San Francisco, CA. Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.
At the Spark+AI Summit, Monte presented, “Without Operational AI, Your ML Model is Stale” which will discussed how companies can integrate OLTP, OLAP and ML capabilities in a unified platform to make intelligent decisions in real time using data at scale. The resulting SQL platform reduces data movement and therefore enables training on real-time data and testing on real-time data leading to better decision-making.
This podcast was recorded at Spark+AI Summit in San Francisco, California in April 2019.
Full show notes and links are available here - https://bit.ly/BDB_EP73
Conference discount opportunity for our listeners…check out the ways our partnerships can save you money on the best big data and AI tech conferences around the world:
- Domino Data Labs’ REV2 Conference in NYC May 23-24. Use promo code BDB_REV100 to save $100 on your pass!
- Data Science Salon in NYC June 13. Use promo code BDBEARD19 for 15% off your pass! http://bit.ly/BDB_YTC
Did you know we are on Spotify? Tune in to The Big Data Beard!
207 episodes
M4A•Episode home
Manage episode 243436783 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Splice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 being held April 23-25, in San Francisco, CA. Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.
At the Spark+AI Summit, Monte presented, “Without Operational AI, Your ML Model is Stale” which will discussed how companies can integrate OLTP, OLAP and ML capabilities in a unified platform to make intelligent decisions in real time using data at scale. The resulting SQL platform reduces data movement and therefore enables training on real-time data and testing on real-time data leading to better decision-making.
This podcast was recorded at Spark+AI Summit in San Francisco, California in April 2019.
Full show notes and links are available here - https://bit.ly/BDB_EP73
Conference discount opportunity for our listeners…check out the ways our partnerships can save you money on the best big data and AI tech conferences around the world:
- Domino Data Labs’ REV2 Conference in NYC May 23-24. Use promo code BDB_REV100 to save $100 on your pass!
- Data Science Salon in NYC June 13. Use promo code BDBEARD19 for 15% off your pass! http://bit.ly/BDB_YTC
Did you know we are on Spotify? Tune in to The Big Data Beard!
207 episodes
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