Alviss.ai CEO and Founder Dr. Pavel Overtchouk talks about how the company’s stroke prediction software seeks to be the first attempt to apply predictive medicine to cardiovascular interventions and ...

AI in mental health presents opportunities in diagnostics enhancement, personalized treatments, and patient engagement ...

Overview: Big Data Analytics enables organisations to convert complex datasets into insights that improve efficiency, ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

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 ...

A bumper crop of new analytics tools has arrived for business users over the past few weeks, and on Tuesday SAP rolled out two fresh examples. Both promising simplicity and usability for non-experts, ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Chief Analytics Officer Wes ...

With the acceleration of digital transformation in business, most CTOs, CIOs, and even middle management or analysts are now asking, "What's next with data?" and what ongoing role will technology play ...

Howard Levenson, former regional vice president at Databricks, said government agencies looking to advance evidence-based decision-making in support of their missions should consider adopting open ...

Overview From internal audit teams to external consulting firms, many professionals now rely on AI-powered audit tools to ...

Businesses have been clamoring for ways to incorporate data analytics into their operations for years. The rise of digital products has made it easier than ever to collect information about customers ...

Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are Amazon, Twitter, or any company that has ...