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DataOps for AI and Digital Transformation
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Speaker: Jay Limburn, IBM
Synopsis: Organizations are under competitive, disruptive, and regulatory pressures. Leveraging data and AI at the speed of business is the biggest differentiator. However, 81% of organizations don’t understand their data providing little to no value. For those aiming to succeed in digital transformation and AI, DataOps is essential to get to business-ready data providing automated, curated, and trusted data pipeline between data providers and data consumers. That means scale, agility, and faster path to achieving business objectives. In this session (or keynote), IBM presents DataOps methodology with demonstrations to help you maximize your people, process and technology to accelerate journey to AI and digital transformation.
Filmed at Big Data LDN 2019
Synopsis: Organizations are under competitive, disruptive, and regulatory pressures. Leveraging data and AI at the speed of business is the biggest differentiator. However, 81% of organizations don’t understand their data providing little to no value. For those aiming to succeed in digital transformation and AI, DataOps is essential to get to business-ready data providing automated, curated, and trusted data pipeline between data providers and data consumers. That means scale, agility, and faster path to achieving business objectives. In this session (or keynote), IBM presents DataOps methodology with demonstrations to help you maximize your people, process and technology to accelerate journey to AI and digital transformation.
Filmed at Big Data LDN 2019
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