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If you want to exploit the potential of your data, you need to develop a data strategy. This includes not only technology: processes, organization and culture should also be examined.
CIOs share insights on the lessons they’ve learned this year about navigating change — and helping others do the same — while getting real about AI and leading IT initiatives exclusively with business value in mind.
Organizations are interested in leveraging AI to optimize internal processes and analyze data for insights, but security, data quality, and governance remain hurdles.
The Chicago-based airlines has moved beyond the pilot phase with production LLMs built on a strong data foundation in the cloud.
Essen für Alle is a Swiss NGO whose name translates to Food for All. Every Saturday, thanks to a comprehensive network of partners, volunteers, and donors, it distributes 18 tons of food and essentials to people in need.
Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.
Salesforce has priced its agent per conversation, but several other pricing models are emerging. The best choice depends on how much an organization uses agents.
As you look toward a possible next role as a chief AI officer, here are five keys to negotiate your offer before embarking on your first 90 days.
The workplace is disengaged and drowning in distraction. AI is the answer, not the threat. Learn how to flow with AI to unlock human potential and dominate the future of work.
From AI hazards to the CrowdStrike fallout, the growing threat landscape is emboldening CIOs to articulate resilience plans that prevent further disruptions and preserve business continuity.
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