7 ways to deploy your own large language model

The cost to build a new large language model from scratch is an option, but can be too much to bear for many companies. Luckily, there are several other ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper. (CIO, 2024-11-21)

Snowflake Unveils Snowflake Intelligence: The Future of Data Agents for Enterpri

AI bedreigt salarissen, maar niet banen

CIOs look to sharpen AI governance despite uncertainties

With AI use, innovation, and regulation confusion outpacing ratified standards, IT leaders are left to develop in-house approaches to mitigating AI risks, leaning on frameworks, tools, and their colleagues to get AI right. (CIO, 2024-11-06)

IT pros: One-third of AI projects just for show

More than a third of IT professionals say the main purpose of AI initiatives they’ve worked on isn’t practical value but to show investors and stakeholders their organization is doing something with AI. Here’s why that’s even worse than it appears. (CIO, 2024-10-25)

The Good, the Bad, and the Future of Data AI

Human vs. humane: How companies pursue AI for enhanced CX

AI can replicate and sometimes even surpass human ability. But what ethical standards are these technologies being taught to follow, and how do people apply them in practice? (CIO, 2024-09-20)

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption &

The real AI training gap? IT leaders believe in it, but many don’t provide it

IT leaders fear AI projects will fail without employee expertise. But with less than half offering formal AI training, falling short might be inevitable. (CIO, 2024-09-06)