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Data locality: AI models often rely on large datasets. Locating compute close to the data reduces transfer times and improves training performance. Latency sensitivity: Real-time AI applications, like recommendation systems or edge analytics, depend on low-latency environments. This can be more easily tuned in private or hybrid setups. Hardware specialization: Some AI workloads benefit from custom hardware like GPUs or TPUs. Private cloud allows more control over this, while public cloud offers broader access but less customization.

Reliability is a constant for every technology, whether it’s cloud, microservices, or AI. Full transcript:  Just a few years ago everybody was screaming about microservices, "That's the wave of the future," and now everybody's looking at AI. No matter what the change in technology hot topic is, your reliability should still be at the forefront of everything that you're doing.

Join Ankit, Payal, and Leon as they explore recent articles about: the impact of unoptimized images on both your customers and carbon footprint; How generative AI can be confident but not correct; and the pros, cons, challenges, and benefits of disconnecting from our technology once in a while.

In this webinar snippet, we break down why GPUs are the hidden engine driving today’s AI revolution. Discover how parallel processing (like a kitchen full of chefs!) enables lightning-fast neural networks, transformers, and machine learning and why GPUs shifted from graphics to becoming AI’s indispensable powerhouse.

With Datadog's AI Agents Console, you can monitor the behavior and interactions of any AI agent that’s a part of your enterprise stack, whether that’s a computer use agent like OpenAI’s Operator, IDE agent like Cursor, DevOps agent like Github Copilot, enterprise business agent like Agentforce, or your internally built agents. You'll have full visibility into every agent's actions, insights into the security and performance of your agents, analytics on user engagement, and measurable business value from every agent, all in a centralized location.

Enhance your Zebra mobile devices with the Zebra Mobile Computing AI Suite, a comprehensive set of advanced AI tools designed to empower frontline workers to perform tasks more efficiently and accurately. This suite includes the AI Data Capture SDK, which offers powerful AI models for a variety of applications. Additionally, solution accelerators with sample applications and APIs are included to expedite the development of AI-driven data capture solutions for enterprise needs like inventory management and price verification. These tools seamlessly integrate into business applications, improving workflow efficiency.