Accelerating Digital Transformation with DataOps

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Across an array of use cases, AI pioneers are employing a core set of new AI capabilities to unlock the value of data in new ways. According to the 2019 IBM Global C-suite study, leaders are using data 154% more to identify unmet customer needs, enter new markets, and develop new business models. These leaders represent a unique group that have fused data and business strategies.

Likewise, the IBM Global Chief Data Office (GCDO) defined a clear data strategy driven by its business strategy, with an enterprise-wide data operations and governance program. The goal was to build the trusted data source and AI framework for all of IBM, while developing and scaling talent. Our implementation of data and AI yielded results such as 90% reduction in cycle time and $27 million in productivity savings in the metadata management area.

In addition, we are showcasing several enterprise scale hybrid multi-cloud use cases enabled by IBM’s Cognitive Enterprise Data Platform (CEDP) on Open Shift. We want to help our clients by providing the strategy and technology to accelerate their journey to AI with what we call the Ladder to AI. This prescriptive approach focuses on connecting data and AI capabilities within a unified data and AI platform.

Accelerating your AI journey such as experimenting with data models faster depends on streamlining data operations (DataOps). IBM defines DataOps as the orchestration of people, process, and technology to deliver trusted, high-quality data to data citizens fast such as data scientists. DataOps is focused on enabling collaboration across an organization to drive agility, speed, and new data initiatives at scale. Using the power of automation, DataOps is designed to solve challenges associated with inefficiencies in accessing, preparing, integrating, and making data available.

By cultivating a DataOps practice across the organization, the IBM GCDO has been able to lower the manual effort needed to deliver high-quality data, unlocked 70% more dark data, and is able to sustain classification accuracy of 96% across AI models. The results speak to the proven methodology and technology IBM offers today, ready for clients to accelerate their own journeys.

As the GCDO organization continues to pioneer data and AI innovation across the IBM enterprise, we are excited to be the trusted data and AI partner for our clients.

Global Chief Data Officer, IBM

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