In this blog, find out why IBM's Project Bob represents the next evolution in software engineering.
In this blog, find out how four recent initiatives are helping organizations overcome AI issues in practical situations.
In this blog, find out what will be the most important trends and talking points for AI in the coming year.
In this blog, Philip D'Souza looks at the factors to consider to help you select the right LLM for your organization.
In this blog, find out why the phrase 'context engineering' is gaining popularity and why mastering it will be key to maximizing the potential of AI.
In this blog, find out why small language models may be a more practical, cost-effective and trustworthy option for enterprises looking to implement generative ...
This year's IBM Think conference highlighted a range of exciting generative AI product announcements. Find out more in this blog.
In this blog, learn about the latest developments in the new IBM Granite 3.3, including speech-to-text, fill-in-the-middle coding and improved AI reasoning.
In this blog, find out how reasoning capabilities are likely to play a leading role in shaping more sophisticated and effective AI agents.
Agentic AI is starting to emerge in the real world. How do we use its power without compromising our values, safety or accountability? Find out in this blog.
Find out how the new Telum II Processor and Spyre Accelerator will improve AI performance and handle increasing amounts of data more effectively on Z, in this b...
In this blog, find out how IBM is leading the way in building sustainability into its AI.
In this blog, Philip D'Souza discusses the pros and cons of open source versus proprietary AI and how striking a balance between the two is important.
IBM's Granite series is developing rapidly. Find out in this blog how these large language models (LLM's) may be particularly well-suited to code generation tas...
In this blog, Phil D'Souza discusses the emergence of AI agents capable of tackling more complex tasks and problems.
In this blog, find out how to get more from generative AI by integrating additional tools and resources into your LLM.
In this blog, read about the steps you need to incorporate into your GenAI application process.
Find out about the differences between fine-tuning and prompt engineering in this blog, and how they can be used to customize an AI large language model (LLM).
Discover why IBM's Granite GenAI models stand out from the crowd in this blog.
Find out how Sevilla FC is using generative AI to support its player recruitment.
Find out how IBM's new AI tool, watsonx Code Assistant for Z is set to boost developer productivity, lower the total cost and complexity of mainframe modernizat...




















