Data and information management

Most organizations think of asset management as the practice of tracking and managing IT devices such as routers, switches, laptops and smartphones. But that’s now only part of the picture.

Commercial applications, edge computing, machine phishing and real-time data access are among the top trends that will drive IoT strategies.

Nearly six in ten consumers are open to sharing location data and lifestyle information in exchange for decreased pricing in financial products and services, according to Accenture.

Organizations need to increasingly lure talent away from current jobs – and they better be prepared to shell out at least 15 percent more in compensation to grab that talent.

Insurers must decide which business problems they need to address first, which require more data, and how to operationalize models in their core production system.

The point of visualizing data is to engage the user, deliver information faster, and otherwise enable business insight.

There’s an alarming gap in data activation at organizations today, and despite continued investment in people, data and technology, according to Forrester Research.

There is no single technology that will redefine IT operations or business strategies. Instead, technologies must be stacked together to produce new and innovative solutions.

The Federal Emergency Management Agency plans to use private-sector data to calculate the real flood threat for each home.

The importance given to understanding and preventing bias and unfairness is evident in the mainstream artificial intelligence conferences.