Data strategy

Ultimately, a digital strategy must focus on improving business processes and outcomes, like offering new digital products or increasing your customer engagement.

One of the most popular conferences for IT leaders is the MIT Sloan CIO Symposium. This year’s event will be all about data management, analytics, AI and disruptive technologies.

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.

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.

A new report, as well as several other studies, confirm a frustrating problem: The AI hype is making it impossible to figure out how much businesses really need it and are using it.

The visionaries are leveraging the data that sits in the ecosystems around them—and are applying AI on top of the data to turn it into predictive insights.

The right software can make a major difference for carriers that are seeking to implement digital tech.

Data management and analytics, security and artificial intelligence are among the technology areas where organizations must make their investments for IoT payoffs.

Shifting to the cloud isn’t just a matter of flipping a switch, and the cost savings won’t be automatic if you’re not acting advisedly. As a result, CIOs should keep these three concerns top of mind.

Collaborative intelligence, AI, omniscient healthcare and 5G technology are among the items that will have the biggest impact on business this year.

Those organizations that haven't given thought to AI investments run the risk of quickly losing competitive advantage, consultancy says.

As is the case with any emerging technology, there are several risks with blockchain that should be considered by organizations that plan to use it.

Having legacy systems was the top response in a new survey, at 41 percent. Lack of change management capabilities and relevant skills are also seen as key hurdles in 2019.

MDM is growing in importance to keep up with a proliferation of analytics and external demands.

A large majority of businesses will increase their investments in digital technology over the coming year, and many expect IT modernization to fuel future transformation efforts that lead to cost savings and greater profitability.

Division working on predictive models and automated underwriting in life insurance launches tool for consumers.

Digital innovation, enterprise transformation and buyer engagement will drive opportunities in 2019. Here are steps that data pros can take to cash in.

U.S. companies are increasingly adopting new data analytics tools, including cloud-based business intelligence services and machine learning services, to leverage and monetize their information.