#AI deployment
8 stories taggedAI deployment.
Picking the Right AI Model Is the Easy Part
The engineering layer around an AI model now sets enterprise cost and reliability more than the model itself does. Here's what that shift demands.
Google and Accenture Launch Joint Team to Put AI Engineers Inside Big Companies
Google holds just 6% of enterprise AI spending against rivals at nearly 40% each. A new unit training 1,000 dedicated engineers is its latest push to close the gap.
More Memory Does Not Always Mean a Smarter AI Agent
A study across eight AI models found that feeding an agent more of its own past experience can hurt as much as help. The right amount of memory depends entirely on how capable the model already is.
Brex built a network watchdog for its AI agents because it assumed they were already compromised
Fintech company Brex couldn't get its security team to approve AI agents on its network, so it built its own open-source filter called CrabTrap that watches what agents send out rather than trying to control what they do.
A $20 million startup wants AI to fix its own deployment mess
Getting AI to actually work inside a large company is so painful that a new wave of expensive consultants has emerged just to handle it. June thinks software can replace them.
Five things enterprise leaders need to know before deploying AI agents
Intel ran thousands of experiments on agentic AI workloads and found that most organisations are measuring the wrong things. Here's what actually matters when you move beyond chatbots.
Your AI chatbot isn't broken. Your data pipeline is.
Enterprise AI projects keep failing, and companies keep blaming the AI model. Senior data engineer Naveen Ayalla says the real problem sits one layer deeper, in the messy pipes feeding data to the model in the first place.
The Gap Between a Robot Demo and a Robot That Actually Works
A co-founder of agricultural robotics firm Burro explains why the hardest part of building autonomous machines is not the lab work. It is Tuesday morning in the rain.