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When measuring developer productivity, traditional output metrics might not tell the whole story. So, its essential to look at environmental, organizational, and cultural factors for a holistic view.
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Digital transformation isn't optional; it's imperative. One key to a successful transformation is an effective API roadmap--coupled with AI--that enables the data integration that drives deeper insights.
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Technology such as Generative AI, coupled with community-led strategies, can boost sustainability while powering business growth and innovation.
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Industry clouds are modular cloud computing solutions that are designed to meet particular, industry-specific needs. Can they live up to the hype? Yes.
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The future of cloud is here, and it's compelling organizations to reshape their IT culture and redesign their operating model, as well as account for the explosion of Generative AI.
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Blocking the use of Generative AI can lead to AI chaos. Instead, to harness its power, organizations should embrace it and develop policies to govern it.
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With the explosion of AI technologies, shadow AI can wreak havoc. SRE can calm the chaos.
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W. Edwards Deming revolutionized management theory. His philosophy and core principles can also be applied to software engineering to enhance the process and produce better apps.
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Quantum computing is the next frontier for IT. And, although it's not quite ready for prime time, it's essential for organizations to understand its power and potential.
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Generative AI is hot, but it's also a bit of an enigma. However, if you can define it and understand how it works and how to use it, it can help you revolutionize how you do business.
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AI is coming to edge computing, and it's bringing productivity increases, new business models, and revenue streams to drive growth and innovation.
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Although Generative AI has the potential to be revolutionary, companies still have to go through proven decision-making processes to get the implementation right. And, as with other IT initiatives, it's (almost) all about the value.
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Generative AI and cybersecurity are becoming closely linked. Generative AI can boost security, but its LLMs need to be secured in a race against time and bad actors.
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Culture is a big component of software engineering success. A commitment to excellence and employee satisfaction is crucial. Success begins at the top with strong, passionate leadership.
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Cybersecurity is a critical issue for nearly every company. Deloitte's global cyber leader, Emily Mossburg, discusses what's new, and what's next, in cyber.
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In this LinkedIn Live episode of the On Cloud Podcast, Deloitte's David Linthicum and Mike Kavis make their predictions on what's next for cloud in 2024.
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What happened in cloud in 2023? Generative AI was the biggest event, but there were other trends, too, like resiliency, FinOps, talent, and repatriation.
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