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10 ways to kill your IT culture

CIO

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.

Culture 211
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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs.

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

This requires evaluating competitors’ strategies; identifying strengths, weaknesses, and opportunities; and leveraging insights from the competitive market analysis team or similar teams within the organization. By staying ahead of market trends, the organization remains agile, adaptable, and ready to outperform rivals.

Strategy 200
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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.

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What is technical debt? A business risk IT must manage

CIO

The idea was coined by legendary programmer Ward Cunningham, one of the authors of the Agile Manifesto, and he laid it out succinctly at the OOPSLA conference in 1992 : Shipping first-time code is like going into debt. A little debt speeds development so long as it is paid back promptly with refactoring. So, is technical debt bad?

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Overcoming the 6 barriers to IT modernization

CIO

These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. Solution: Invest in continuous learning and development programs to upskill the existing workforce. Q: What do you get when you add new technology to bad processes?

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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