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Reimagine data sharing with IBM Data Product Hub

3 min read - We are excited to announce the launch of IBM® Data Product Hub, a modern data sharing solution designed to accelerate data-driven outcomes across your organization. Today, we're making this product generally available to our clients across the world, following its announcement at the IBM Think conference in May 2024. Data sharing has become the lifeblood of modern organizations, fueling growth and driving innovation. But traditional approaches to data sharing can often be a bottleneck constricting the seamless sharing of data.…

Rethink IT spend in the age of generative AI

3 min read - It’s the burning question for today’s CIOs: what do you spend your IT budget on? Cloud costs were already a challenge—in a recent survey, 24% estimated they wasted software spend. The explosion of generative AI makes it critical for organizations to consider frameworks like FinOps and technology business management (TBM) for visibility and accountability of all tech spend. But what does this all mean in practice? How can organizations shift to a more disciplined, value-driven approach to IT spend? What…

How IBM helps Wimbledon use generative AI to drive personalised fan engagement

4 min read - For two weeks in July, the All England Lawn Tennis Club (AELTC) hosts Wimbledon, the most prestigious tournament in the sport. IBM has been partnering with the Club for more than three decades, enhancing coverage of The Championships and engaging fans with rich data-driven insights. This year, some of the most compelling stories of the tournament will be told with the help of IBM® watsonx™, the enterprise-ready generative AI platform. How watsonx keeps Wimbledon fans up to date The new…

Best practices for augmenting human intelligence with AI

2 min read - Artificial intelligence (AI) should be designed to include and balance human oversight, agency and accountability over decisions across the AI lifecycle. IBM’s first Principle for Trust and Transparency states that the purpose of AI is to augment human intelligence. Augmented human intelligence means that the use of AI enhances human intelligence, rather than operating independently of, or replacing it. All of this implies that AI systems are not to be treated as human beings, but rather viewed as support mechanisms…

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