C-level IT executives share their strategic insights and expertise on making critical, real-world decisions that will shape the future of their companies. This blog is part of the Foundry Expert Contributor Network. Want to join? Learn more at www.cio.com/expert-contributor-network/
From supercomputers to robotaxis, NVIDIA’s GTC 2025 made one thing clear — AI’s future is here, and it’s being built in America.
From concept to practice: Moving from single model to collaborative intelligence.
Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster.
Turns out Java can do serverless right — with GraalVM and Spring, cold starts are tamed and performance finally heats up.
AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, connected monitoring.
Startups that embrace AI are unlocking growth like never before — smarter, faster and ready to take on the world.
RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid.
Want faster, smarter queries? Observability gives engineers the visibility to tune performance before users ever notice a slowdown.
If you think AI is just talk, think again — MCP is turning chatbots into doers, and the future of work may never look the same.
Smarter debug logging helps devs cut through noise, spot issues fast, and keep apps healthy at any scale.
AI works better when one agent thinks and another acts — splitting context from execution makes conversations smoother and smarter.
LLMs are memory hogs, but PagedAttention fixes that, making AI apps faster, cheaper and way more efficient.
Still stuck in legacy warehouses? This pharma leader shows how a Databricks lakehouse can turn compliance hurdles into a growth engine.
Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.
AI isn’t just cranking out code anymore. It’s starting to think, solve problems and work like a real teammate in development.
Want smarter, faster decisions? A metrics layer keeps everyone on the same page with consistent, reliable numbers.
Keeping microservices healthy means more than tracking data — it’s about turning logs, traces and metrics into insights that fix problems fast.
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight.
Your Azure bill is bleeding cash, but AI can be the scalpel that slashes waste, spots spikes and silently saves you thousands before finance sees the damage.
Don't let your observability bill break the bank; slash costs by mastering data ingestion and retention without flying blind.
A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.
Although we had to implement a self-healing cache mechanism directly within our application, switching to Memcached saves us $5,000 per month.
Web APIs facilitate the sharing of functionality and data across platforms, opening up new possibilities for business expansion and innovation. Here’s how to take advantage of them.