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The next generation of BI: Powered by IBM Granite foundation models

IBM Journey to AI blog

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience. Business intelligence is no longer limited to BI specialists.

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Financial Data & AI: The Future of Business Intelligence

Defined.ai blog

Explainable AI (XAI) As AI models become more complex, understanding how they arrive at decisions becomes crucial, especially in a heavily regulated sector like finance. Explainable AI aims to make AI decision-making processes transparent and understandable. Giving them the right to opt out of data collection.

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How two software companies are using IBM watsonx for their enterprise generative AI solutions

IBM Journey to AI blog

By equipping partners with the latest gen AI technologies, expertise and support, we’re helping them make an impact across industries, including financial services , IT , sales, business intelligence and sports.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

The development and use of these models explain the enormous amount of recent AI breakthroughs. “With the development of foundation models, AI for business is more powerful than ever,” said Arvind Krishna, IBM Chairman and CEO. “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks. Key to explainable AI is the ability to automatically compile information on a model to better explain its analytics decision-making.

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How the right data and AI foundation can empower a successful ESG strategy

IBM Journey to AI blog

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Together, watsonx offers organizations the ability to: Train, tune and deploy AI across your business with watsonx.ai