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Dinesh Nirmal

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titleconferencedate
Unlocking the value of your dataO'Reilly Artificial Intelligence Conference 2019 - San Jose2019-09-09
Claims that only 19 percent understand the data required for AI and that 1 in 20 models reach production set the stakes, then a Wimbledon use case with IBM…
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Creating a fair and trusted AI enterpriseO'Reilly Artificial Intelligence Conference 2019 - San Jose2019-09-09
Enterprise AI starts with a concrete use case and a clean training dataset, not headlines about deep nets. Deployment and data prep take more time than model…
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Decoding Regulations Using Machine LearningStrata Data Conference 2018 - New York, NY2018-09-11
Regulatory text piles up — 81,000 pages since 2015 — and comes as messy PDFs, tables and flowcharts; IBM Emilia is pre-trained on federal, state and local regs…
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Operationalizing machine learning for the enterpriseStrata + Hadoop World 20172017-03-13
Covers how enterprises move models from notebooks into COBOL and legacy apps using IBM tools such as Watson deep learning APIs and TensorFlow with R and Python…
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