Data and AI: A CIOs Guide to Success

Why lead an organizationwide AI data strategy?

Artificial intelligence sparks imaginations. New iterations of popular large language models (LLMs) add dexterity and polish to human-machine interactions, and leaders across your organization are asking, “What if…?”

CIOs can uncover beneficial AI use cases—and avoid veering toward shadow IT—by providing a unified data platform that fosters safer, higher-performing AI implementations that benefit the entire company.

With an AI-ready data platform, artificial intelligence adds urgency to the effort to derive value from your company’s operational data and domain expertise. AI makes this possible by combining natural language communications with AI models that deeply understand your organization’s data, dramatically lowering the barrier for people across your organization to query and use your vault of business and product knowledge.

If your IT team and data analytics experts have done foundational work in your data warehouses, data lakes, and data lake houses and implemented access controls and data governance rules, you’ve already taken the first steps. An AI-ready data platform includes centralized technology and business processes to identify, fine-tune, and deploy sophisticated AI models that take advantage of all this data.

While consumer LLMs and generative AI applications are stoking the imaginations of leaders everywhere, your job as CIO is clear: Put in place the compute power, skill sets, and companywide dataflows to tap the true promise of AI for your organization.

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