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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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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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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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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.

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7 ways gen AI can create more work than it saves

CIO

But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale. With our attention split too much, people might start making bad decisions, she adds. “It Generally, there’s optimism and a positive mindset when heading into AI.”

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Scaling AI talent: An AI apprenticeship model that works

CIO

Along the way, we’ve created capability development programs like the AI Apprenticeship Programme (AIAP) and LearnAI , our online learning platform for AI. AIAP in the beginning: Goals and challenges The AIAP started back in 2017 when I was tasked to build a team to do 100 AI projects. To do that, I needed to hire AI engineers.

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CIOs must mind their own data confidence gap

CIO

This data confidence gap between C-level executives and IT leaders at the vice president and director levels could lead to major problems when it comes time to train AI models or roll out other data-driven initiatives, experts warn. Then, after the internal service is finished, IT teams move onto the next thing, Agarwal says.

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