Data analysis does not remove the need for leadership; it requires business leaders to learn to incorporate data into their decision making and effectively train and support their teams to do the same ...

When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data visualizations to ...

A semantic data foundation can help to standardize business logic to all AI agents to orchestrate and perform well.

2024 has been another year of unprecedented growth for AI and machine learning across the financial services industry, with a staggering 80% of trading firms now using this cutting edge technology. [1 ...

Data is the #1 Driver of Transformative Value in the Enterprise today. Building data-driven businesses is clearly the topic of most board agendas this year. Increasing technology maturity coupled with ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

IBM Business Analytics Enterprise and Content Hub optimize and unify analytics projects Your email has been sent Earlier this quarter, IBM released Business Analytics Enterprise to meet the demands of ...

In the humanitarian aid community, research methods have traditionally skewed toward the qualitative: Participant interviews, focus groups, and field surveys have been the predominant tools ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...

From AI fluency to data-driven judgment, 2025 investments reveal how organizations are reshaping leadership for an AI-accelerated future.