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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. Some companies are already on the bandwagon.

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Celonis offers process transparency across company boundaries

CIO

With Celonis Business Collaboration Networks, the Munich-based company is pursuing the goal of expanding process intelligence by providing comprehensive insights into cross-company processes. This shared, actionable, information base is intended to enable companies to identify and eliminate weaknesses in processes.

Company 226
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4 steps toward integrating genAI into DevSecOps processes

CIO

Accelerating vulnerability remediation with genAI Although the responsibilities of developers, security professionals, and operations teams overlap, their communications are often hampered by the inability to quickly grasp esoteric terms that are specific to each discipline. Incorporate genAI into existing workflows.

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The CIO’s primary job: Developing future IT leaders

CIO

But it is equally vital to identify those people who can develop into managers and create a path forward for them as well. In my most recent CIO.com article on nurturing high-performing teams , I made a comment that stirred some questions. And if people have bad managers, the results can be less than optimum.

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7 Modern Performance Appraisal Methods to Boost Workforce Development

Hacker Earth Developers Blog

Rather, it is now viewed as a central source for workforce development, assisting employees in growing and contributing towards organizational goals as contributors themselves. These are characterized by the totality of development of employees and constant feedback, collaboration, as well as the achievement of measurable results.

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Bobidi launches to reward developers for testing companies’ AI models

TechCrunch

In the rush to build, test and deploy AI systems, businesses often lack the resources and time to fully validate their systems and ensure they’re bug-free. In a 2018 report , Gartner predicted that 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.

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Mending the rift between business stakeholders and development teams

Xebia

In today’s business world, the synergy between stakeholders, product management and development teams are paramount. Customer’s problem At one of our major clients at Xebia customers complained, that the project velocity was inconsistent, while the development team seemed perpetually busy.