#generative-ai
What generative models changed, and what they did not.
Tagged articles (16)
The Inference Migration: What Consumer Agents Mean for Enterprise AI's Next Phase
Consumers are already paying for always-on AI agents. That consumer-to-enterprise pipeline is the one ChatGPT ran, and it is running again.
The Return of Traditional AI: Organisations Are Rethinking Their LLM-First Strategies
Forty-two percent of companies abandoned most of their AI initiatives this year, often because generative AI was applied to problems traditional methods solve better.
Agentic AI: Strip Away the Hype and Understand the Real Strategic Choice
Agentic AI is this year's poster child, and most of the confusion is about what agents actually do. The Board's decision is strategic, not technical.
Crossing the GenAI Divide: Solving The 95% Problem With The Complete AI Framework
MIT confirms what I have argued since 2024: 5% of organisations take generative AI from pilot to production. The Complete AI Framework answers that divide.
From Print to Web to AI: Creating Sustainable Value in the AI Era
AI answer engines are rewriting how value flows through information, as the web did to print. Value exchange now has to be designed, not assumed.
Selecting your enterprise LLM: Moving beyond the hype to make the right choice
With well over a hundred language models available, choosing one is a question of fit, not headlines: match the model to the task.
Unlocking your data with AI: Insights from Monday.com Elevate
From my Monday.com Elevate keynote: the misconceptions about AI adoption, and how to put the data an organisation already has to work.
Beyond the hype: Unlocking the true potential of AI in business
Generative AI is one branch of artificial intelligence, not the whole story. Chasing only the hype misses the kinds of AI already creating value.
Harnessing AI for organisational change led from the Board
A guest lecture at the London School of Economics on harnessing AI for organisational change led from the Board.
Amazon Bedrock launches Custom Model Import
Custom Model Import lets an organisation bring the models it trained on its own data into Amazon Bedrock's managed, secured environment.
AWS launch Meta Llama 3 on Amazon Bedrock
Meta's Llama 3 reached Amazon Bedrock in April 2024: open-weight models with better reasoning, code generation and instruction following, as a managed service.
AWS launch Anthropic Claude 3 Opus on Amazon Bedrock
Claude 3 Opus landed on Amazon Bedrock, making it the first managed service to offer all three Claude 3 models in general availability.
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