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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2]

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Five Reasons Automation Is Key to Data Governance

Precisely

By visualizing how data flows through an organization’s systems and how it impacts processes, users also gain confidence that there is oversight and transparency with any format, function, and integrity level changes. Automation Supports Clear Data Lineage Data silos are costly.

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Eight financial services trends driving the need for better data visualization

Cambridge Intelligence

They’re often left with data silos and inefficient duplication of tasks. Link analysis allows investigators to visualize the most complex network infrastructure, and to analyze data across silos in a single unified view. trillion by 2026. But it’s also intangible and highly volatile.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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