Remove Government Remove Software Review Remove Weak Development Team
article thumbnail

Case in point: taking stock of the CrowdStrike outages

CIO

Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre.

article thumbnail

The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

Data 167
article thumbnail

IT pros: One-third of AI projects just for show

CIO

Their teams miss out on crucial learning experiences, leaving them ill-equipped to handle genuine AI deployments down the road.” You can probably solve that with an RPA bot, or you could probably solve that with some custom code.” This trend is concerning,” he says. “AI

article thumbnail

5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. These reinvention-ready organizations have 2.5 times higher revenue growth and 2.4

article thumbnail

Digital transformation 2025: What’s in, what’s out

CIO

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.

article thumbnail

CIOs must mind their own data confidence gap

CIO

Moreover, 68% of vice presidents in charge of AI or data management already see their companies making decisions based on bad data all or most of the time, versus 47% of C-level IT leaders. Directors are often more accurate in their confidence assessments, because theyre swimming in the systems, not just reviewing summaries.

Data 188
article thumbnail

When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211