Pluralsight – Dataops For Ai And Digital Transformation-NOLEDGE
English | Size: 107.36 MB
Category: Tutorial
Notes: Big Data LDN 2019 | DataOps for AI and Digital Transformation | Jay Limburn
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 provides 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 a scalable, agile, and faster path to achieving business objectives In this session, IBM presents DataOps methodology with demonstrations to help you maximize your people, process and technology to accelerate journey to AI and digital transformation
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