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July 15, 2024

Are bigger language models always better?

4 min read - In the race to dominate AI, bigger is usually better. More data and more parameters create larger AI systems, that are not only more powerful but also more efficient and faster, and generally create fewer errors than smaller systems. The tech companies seizing the news headlines reinforce this trend. “The system that we have just deployed is, scale-wise, about as big as a whale,” said Microsoft CTO Kevin Scott about the supercomputer that powers Chat GPT-5. Scott was discussing the…

July 11, 2024

Generative AI meets application modernization

2 min read - According to a survey of more than 400 top IT executives across industries in North America, three in four respondents say they still have disparate systems using traditional technologies and tools in their organizations. Furthermore, the survey finds that most executives report being in the planning or preliminary stages of modernization. Maintaining these traditional, legacy technologies and tools, often referred to as “technical debt,” for too long can have serious consequences, such as stalled development projects, cybersecurity exposures and operational…

July 10, 2024

Accelerating responsible AI adoption with a new Amazon Web Services (AWS) Generative AI Competency

3 min read - We’re at a watershed moment with generative AI. According to findings from the IBM Institute for Business Value, investment in generative AI is expected to grow nearly four times over the next two to three years. For enterprises that make the right investments in the technology it could deliver a strategic advantage that pays massive dividends. At IBM® we are committed to helping clients navigate this new reality and realize meaningful value from generative AI over the long term. For our…

July 9, 2024

How IBM and the Data & Trust Alliance are fostering greater transparency across the data ecosystem

2 min read - Strong data governance is foundational to robust artificial intelligence (AI) governance. Companies developing or deploying responsible AI must start with strong data governance to prepare for current or upcoming regulations and to create AI that is explainable, transparent and fair. Transparency about data is essential for any organization using data to drive decision-making or shape business strategies. It helps to build trust, accountability and credibility by making data and its governance processes accessible and understandable. However, this transparency can be…

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