CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.
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.
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Hacker Earth Developers Blog
SEPTEMBER 25, 2023
Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. By understanding how observability in DevOps transforms development capabilities, you can maximize the effectiveness of your teams and your data. Let’s get into it.
CIO
OCTOBER 24, 2023
Politics — and even marketing — aside, there is no doubt that your teams should be diverse. This is not for social justice or corporate altruism,” explains Cheryl Stokes, CEO of CNEXT, a leadership development and executive networking business. “It Diversity makes your company — and your teams — more creative and innovative.
CIO
APRIL 24, 2024
But the partnership seeks to go beyond Cognizant’s internal use, with Microsoft and Cognizant teaming up to promote generative AI use across Cognizant’s global client base through the advisory and digital transformation services arm of Cognizant’s business.
Perficient
MARCH 29, 2024
As Paulo spoke about the dedication, strategic thinking, and adaptability necessary to thrive in the world of competitive gaming, we couldn’t help but draw parallels to our experiences in product development. Similarly, our product development teams constantly adapt in all three phases, before, during and after.
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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