Why CIOs need analytics capability to scale AI
AI can crank out insights at lightning speed, but without solid analytics foundations, it just amplifies noise instead of results.
5 critical roles for CIOs in defining digital strategy and executing digital transformation programscio.com
Raj Polanki’s five steps by which CIOs can lead holisticallycio.com
CIOs pay attention: VR and AR are about to disrupt your industrycio.com
Micro and macro agents: The emerging architecture of the agentic enterprisecio.com
How DevOps changes the delivery of IT functionscio.com
AGI skepticism: Tellers vs. toll booth workerscio.com
How we grew Mintlify by doing things that don't scaleMintlify
How to implement AI training for employeesZapier
Workato integrations: What's included and when to use ZapierZapier
Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack
Transform and Future-Proof Your Architecture with MACHThenewstack
Selecting the Right Database for Your MicroservicesThenewstack
pg_duckdb: Splicing Duck and Elephant DNAMotherduck
Do AI Agents Need a Semantic Layer?Motherduck
The Serverless Backend for Analytics: Introducing MotherDuck’s Native Integration on VercelMotherduck
PostgreSQL and Ducks: The Perfect Analytical PairingMotherduck
SQL is Dead, Long Live SQL: Engineering a Reliable Analytics Agent from ScratchMotherduck
Real-Time Computational Physics with Wafer-Scale Processing [updated]Cerebras
Cerebras Wafer-Scale Engine Inducted into the Computer History Museum - CerebrasCerebras
AMD and Cerebras Announce Disaggregated AI InferenceCerebras
