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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. GPU can also be considered as a special SPU.

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Generative AI in the Enterprise

O'Reilly

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. The next most needed skill is operations for AI and ML (54%).

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Structural Evolutions in Data

O'Reilly

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards.

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Communal Computing’s Many Problems

O'Reilly

There may be multiple people in the room during a video call, not just the person you are calling. But when a new baby comes home, being able to do video calling with close relatives may become a higher priority. This is why people have made a business out of setting up home stereo and video systems. People can walk in and out.

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