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What’s on the horizon for People and Culture organizations in 2024?

Dynatrace

Looking toward 2024, the corporate landscape is preparing for significant shifts fueled by the quickening pace of technology and shifting priorities of the workforce. Artificial intelligence is now set to power individualized employee growth and development. Prediction for 2024 No. Prediction for 2024 No.

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Tech Transforms podcast: The path forward for AI in the government

Dynatrace

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. According to Gartner®, “annual global survey of over 2,400 CIOs and technology executives found that 25% of governments have deployed, or plan to deploy GenAI in the next 12 months.

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10 tips for migrating from monolith to microservices

Dynatrace

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Choose the right technology for each service One advantage of using a microservices architecture is being able to choose different technologies for the application function at hand.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

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AI Has an Uber Problem

O'Reilly

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments.

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Generative AI in the Enterprise

O'Reilly

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

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Structural Evolutions in Data

O'Reilly

” That came to mind when a friend raised a point about emerging technology’s fractal nature. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. I am wired to constantly ask “what’s next?” Cloud computing?