Data strategy

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.

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.

Many organizations start their analytics journey eagerly, but without a clear strategy. This approach often leads to failed pilot projects, which have not provided the needed insights to answer business questions.

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.

As organizations look to manage and secure data in a connected ecosystem, the key concerns for IT decision makers are cyber security, the ability to upgrade infrastructure and optimizing operations.

The ongoing focus on engaging existing customers and attracting new ones will drive demand for social media analytics over the coming years.

Artificial intelligence is being hailed for its ability to improve internal processes and enhance customer experiences, but opportunities to use the technologies have been slow to take hold.

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.

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

Two recent articles in highlight the simultaneous offer of promise and peril that AI brings. One article describes the meteoric rise of a start-up; the other the failure of another.