Data Software Review Weak Development Team 
CIO
APRIL 17, 2025
As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. Directors are often more accurate in their confidence assessments, because theyre swimming in the systems, not just reviewing summaries.
CIO
NOVEMBER 27, 2024
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.
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CIO
DECEMBER 11, 2024
In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.
CIO
APRIL 29, 2025
But t echnical debt can undercut an organizations ability to innovate long term, and the shortcuts taken during initial development likely resulted in a codebase thats convoluted, slow, or difficult for devs to understand. Add outdated components or frameworks to the mix, and the difficulty to maintain the code compounds.
CIO
NOVEMBER 12, 2024
Without a strong IT culture, inspiring IT teams to extend beyond their “run the business” responsibilities into areas requiring collaboration between business colleagues, data scientists, and partners is challenging. Additionally, 84% of leaders believed their organizations had strong teamwork compared to 60% of team members.
CIO
APRIL 2, 2025
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.
CIO
OCTOBER 24, 2024
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.” They’re trying to reskill their people, and they’re trying to understand the data issues.
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