CIO
OCTOBER 24, 2024
She has held various P&L and technology leadership roles at companies such as British Petroleum, ExxonMobil, Guess, and Carters. I’ve opted to take the positive spin on this concept, but the reality is, poor structure can cripple results. Teams, leaders, and employees want and need clarity. They’re clamoring for it.
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.
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CIO
OCTOBER 25, 2024
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.
CIO
OCTOBER 10, 2023
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.
CIO
OCTOBER 24, 2023
In the wake of the George Floyd and Breonna Taylor murders of 2020, companies made massive, highly publicized efforts to correct for systemic bias and improve the mix of race, gender, and lived experiences in the workplace. Politics — and even marketing — aside, there is no doubt that your teams should be diverse. It’s not sustainable.”
CIO
OCTOBER 17, 2024
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.
TechCrunch
JULY 14, 2022
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. ” To test models, the Bobidi “community” of developers builds a validation dataset for a given system. the number of edge cases). per hour.
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