Data strategy

While AI already impacts many areas of our lives, the majority of businesses are only beginning to understand the potential of AI for their industries.

More than 60 percent of respondents to a new survey said that their data currently exists in organizational silos, with more than half reporting difficulty sharing, linking and using data to drive their risk management strategies.

There are more than a few IT execs leading their firms’ move to speed and innovation in customer experience. VGZ Cooperative is one such firm where this is happening in spades.

The increasing need for advanced solutions for real-time decisions on dynamic business events is accelerating the deployment of streaming analytics, a new report says.

Organizations risk wasting millions of dollars in the next 12 months, as they rush into flawed digital projects, according to a new study.

Data, or even technology, for its own sake without a clear line of sight to a social or business outcome could be a terrible waste.

AI bias may come from incomplete datasets or incorrect values. Bias may also emerge through interactions overtime, skewing the machine’s learning. Moreover, a sudden business change, such as a new law or business rule, or ineffective training algorithms can also cause bias.

IT organizations' expanding role includes both innovation initiatives and keeping core systems running effectively.

Nearly three in four companies still rely on batch processing, slowing the flow of insights.

CIOs must also reshape the technology team to nurture and grow the application of digital as a strategic asset of the business.