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Episode 12  |  27:58 min

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

Episode 12  |  27:58 min  |  11.25.2019

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

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This is a podcast episode titled, Episode 12: Machine Learning Realities and Opportunities with Jeremy Barnes (Part 2). The summary for this episode is: 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)
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)

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