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What to expect from AI in the enterprise in 2025

CIO

Like the PC revolution of the 80s and 90s, and the rise of cloud computing and SaaS in the early 2000s, when everyone has access to the same tools, its the way theyre used that confers a competitive advantage. This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold.

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Scylla and Confluent Integration for IoT Deployments

Confluent

Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. The internet is not just connecting people around the world.

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Should you build or buy generative AI?

CIO

In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach. Every company will be doing that,” he adds. “In

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Enterprise Web Development – Process, Cost

Existek

You’ll find information about the best technologies, software development stages, must-have features, process duration, and cost estimation. The process won’t seem so complicated as soon as you figure out all those details, so keep reading! Software that is available for the common public is only the tip of the iceberg. List of the Content.

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Che cosa possiamo aspettarci dall’AI nelle aziende per il 2025

CIO

Anche il software di governance dellAI diventer sempre pi importante in questo processo, con Forrester che prevede che la spesa per le soluzioni off-the-shelf sar pi che quadruplicata entro il 2030, raggiungendo quasi 16 miliardi di dollari. Possiamo aspettarci di vedere esempi simili, ma forse non cos drammatici, nel 2025.