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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.

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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. According to October data from Robert Half, AI is the most highly-sought-after skill by tech and IT teams for projects ranging from customer chatbots to predictive maintenance systems.

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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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How to Build a High-Performance Team

Hacker Earth Developers Blog

A high-performance team thrives by fostering trust, encouraging open communication, and setting clear goals for all members to work towards. Effective team performance is further enhanced when you align team members’ roles with their strengths and foster a prosocial purpose.

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Data trends in 2025

Xebia

The data landscape is constantly evolving, making it challenging to stay updated with emerging trends. That’s why we’ve decided to launch a blog that focuses on the data trends we expect to see in 2025. Poor data quality automatically results in poor decisions. Lineage (i.e.

Trends 130
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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
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IT pros: One-third of AI projects just for show

CIO

This trend is concerning,” he says. “AI Their teams miss out on crucial learning experiences, leaving them ill-equipped to handle genuine AI deployments down the road.” Nagaswamy has witnessed several organizations launching AI projects simply to impress board members or investors.