enterprise

Since ChatGPT's launch just nine months ago, we’ve seen teams adopt it in over 80% of Fortune 500 firms. We have heard from business leaders that they’d like a straightforward and secure way of...

Once these components are in place, more complex LLM challenges would require nuanced approaches and considerations—from infrastructure to capabilities, risk mitigation, and talent. Deploying LLMs as a backend Inferencing...

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. Yes, it's transforming the world as we understand it (and faster than most of us predicted). And yes, technology is getting smarter....

Within the context of MLOps, the advantages of using a multi-tenant system are manifold. Machine learning engineers, data scientists, analysts, modelers, and other practitioners contributing to MLOps processes often have to perform similar...

Why traditional AI has the reliability advantage over generative AIIn Part 1 of this series, I said something that I’d thought I’d never say: once we’re coping with typical enterprise-scale AI systems, trust and...

Problem 3 — Fence-throwingDehghani calls the third and final mode of failure , which I prefer to think as leading to unproductiveOur hyper-specialised big data lake engineers working in the info lake are organisationally-siloed...

Why traditional AI has the reliability advantage over generative AIIn Part 1 of this series, I said something that I’d thought I’d never say: after we’re coping with typical enterprise-scale AI systems, trust and...

Ask GPT-4 to prove there are infinite prime numbers — while rhyming — and it delivers. But ask it how your team performed vs plan last quarter, and it can fail miserably. This illustrates...