Data management

Like bedroom closets crammed full of outdated clothes and unused gifts, legacy core systems in some organizations have become vessels of useless clutter.

With no international alignment on how to regulate the digital environment, organizations are managing an increasingly complicated set of conflicting rules in key markets.

Geospatial data makes it possible to use point-to-point mapping apps to reach unfamiliar destinations, track incoming flights before heading to the airport or even check weather forecasts.

Ensuring the quality of data becomes increasingly important so that organizations don’t wind up making bigger mistakes.

A major expectation gap exists between what IT managers hoped the public cloud would deliver for their organizations and what has actually transpired, according to a new report.

Enterprises look to take advantage of the insights they can gain from data as it streams in from apps, social media, connected devices and more.

A new study finds that companies have limited or no visibility over vast volumes of potentially business-critical data, creating a ripe target for hackers.

Chief data officers are being appointed to oversee governance efforts, articulating a data vision, defining a data strategy and driving execution.

There is still a significant gap between the hype and market reality of blockchain, according to a new report by Gartner Inc. Here are seven ways projects can fail.

Emerging technologies such as cloud, robotic process automation and single-instance enterprise resource planning, are putting SSCs at the forefront of enterprise transformation.

Atidot, Galaxy.AI, PHR Plus, Traffk and Zesty.ai are among the top innovators for intelligence-based technologies to improve accuracy and automate decisions, says a new Gartner report.

AI has the potential to make our lives safer and easier, if we train the systems to be inclusive and use them wisely.

In order to compete in the age of the customer, your data strategy must be top-flight. The vast majority of firms come up short in this regard.

To reap the full benefits of AI, there’s an entirely different type of AI we should be exploring that’s been largely ignored. It’s specialized (or augmented) intelligence systems.

Approximately 54 million data workers around the world face common challenges associated with the complexity, diversity and scale of their organizations’ data, and nearly half of their work time is wasted, says a new study.

The Drexel LeBow Analytics 50 is a national recognition of industry analytics distinction where companies are honored for their use of analytics to solve business challenges. Here are two of those stories.

Here are some changes - attitudinal and operational - that organizations need to undertake today to get the most out of ML and AI in the near future.

Unlike CIOs of old, today’s technology leaders may have to set aside personal and professional opinions, embracing a range of resources, tools, and processes versus one set in stone, universal approach.

Among the key drivers of market growth are rising demand for advanced analytics to predict future outcomes and customer requirements and advancements in cloud-based services.

Following the publication of the new Technology Vision study, Accenture director Michael Biltz reveals where organizations are putting their technology investments, and why.