Today, organizations across all industries and geographies are looking at leveraging data and analytics (D&A) to increase revenue, reduce costs and mitigate risks. However, many organizations aren't ...

Peter Dunn is a seasoned technology and cybersecurity leader with over 25 years of experience driving digital transformation, AI integration and zero-trust initiatives across federal agencies and ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

With a global consulting practice in over 56 countries, Infosys Ltd. is in a prime position to chart the key drivers of digital transformation. After a wave of interest in artificial intelligence for ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

DATA ANALYTICS USE CASE Energy producers, grid operators, and traders must make decisions based on an estimate of future load on the electrical grid. As a result, accurate forecasts of energy load are ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Today’s business landscape is a tumultuous one, with 29% of UK businesses citing economic uncertainty as a key factor in affecting turnover. Success in this climate means making the right decisions ...

Expanding access to data within a health system can lead to cost savings, reduced dependency on third-party services and greater insight into care quality. This was Renton, Washington-based Providence ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...