In this special guest feature, Abdul Razack, SVP of Platforms, Big Data and Analytics at Infosys, discusses how companies are drowning in data overload and are unable to tap into big data reserves to ...

Learn how to implement big data analytics to reduce costs, speed up decision-making, and build scalable data-driven systems for modern businesses.

Swamy Ramajayam is not just another tech leader. He is the kind of professional who sees data as more than numbers on a dashboard but as a tool to transform industries, build smarter organizations, ...

Businesses rely on analytics to help collect, store, and understand their data. This is essential in today’s technological age because it informs businesses about how to improve operations and boost ...

Investing in and deploying digital technologies and data analytics capabilities is one of the most effective ways for health companies to gain better visibility into the health of patient populations, ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

The systems for data and analytics that most companies have were not built to handle the amount and variety of data now available. As a result, for many years, the tendency has been to solve one ...

Get the latest federal technology news delivered to your inbox. The Department of Defense plans to prioritize “learning and agility” as it works to responsibly adopt artificial intelligence ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

These days, the digital marketplace is moving faster than ever, which makes search engine optimization (SEO) even more important. One way companies can stay ahead of the game is with predictive ...

For many organisations, the promise of artificial intelligence (AI) is being undermined by a fundamental problem: their data isn’t ready for it. This can lead to conflicting metrics and inconsistent ...