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Episode 12: Machine Learning Realities and Opportunities with Jeremy Barnes (Part 2)
Season 2019 · Episode 12

Episode 12: Machine Learning Realities and Opportunities with Jeremy Barnes (Part 2)

In part 2 of our discussion on Machine Learning, Georgian Partners’ Madalin Mihailescu continues his conversation with Jeremy Barnes, founder and CEO of Datacratic. In addition to learning about Datacratic and its machine learning database (MLDB) offering, you’ll also find out about other tools and services CTOs need for training machine learning models, the latest trends shaping the machine learning field and much more. You’ll hear about: Jeremy’s company Datacratic and the tools it offers (0:49) Business design points to make machine learning more effective (3:03) How Datacratic built its machine learning data base (MLDB) system (3:39) Use cases for MLDB (4:53) The steps R&D need to take to productize machine learning (8:27) The tools and services for training machine learning models (10:37) Levels of lock-in for businesses using IBM Watson (16:35) Machine learning trends (19:27)

The Georgian Impact Podcast | AI, ML & More · Georgian

November 25, 201927m 58s

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Show Notes

In part 2 of our discussion on Machine Learning, Georgian Partners’ Madalin Mihailescu continues his conversation with Jeremy Barnes, founder and CEO of Datacratic. In addition to learning about Datacratic and its machine learning database (MLDB) offering, you’ll also find out about other tools and services CTOs need for training machine learning models, the latest trends shaping the machine learning field and much more. You’ll hear about: Jeremy’s company Datacratic and the tools it offers (0:49) Business design points to make machine learning more effective (3:03) How Datacratic built its machine learning data base (MLDB) system (3:39) Use cases for MLDB (4:53) The steps R&D need to take to productize machine learning (8:27) The tools and services for training machine learning models (10:37) Levels of lock-in for businesses using IBM Watson (16:35) Machine learning trends (19:27)