#machine-learning
The discipline underneath the headlines.
Tagged articles (8)
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.
The Compound Loop: Why Agentic AI's Real Power Lies Beyond Generative AI
Agentic AI is more than generative AI in a loop. Compound loops coordinating several AI disciplines are where returns stop being linear.
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.
Introducing the AI Stages of Adoption: A framework for understanding AI readiness in your business
The AI Stages of Adoption, introduced for private equity firms and their portfolio companies: a five-stage framework for reading AI readiness and value creation.
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.
The Board in the machine
AI and machine learning are becoming ubiquitous in business decisions, and Boards need to know what is deployed and how it is governed.
Edge Markets
The cloud is what lets a business adopt AI and machine learning without building the machinery first: my interview with Edge Markets in Hong Kong.
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