Keynote: Data Transparency, AI Use Cases, Data Sovereignty
Discover how AI drives business success with insights on data management, transparency, regulation, and actionable strategies for 2025.
Dr. Phil Winder
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7 minMore articles
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Dr. Phil Winder
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7 min
Large Language Model Fine-Tuning via Context Stacking
Discover how context stacking revolutionises LLM fine-tuning with minimal data for faster AI deployment.
AI in 2024: A Year in Review
A look back at the year in AI, and a look forward to what's coming in 2025.
Dr. Phil Winder
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5 min
AI Strategy for CEOs: Aligning Tech with Business Goals
Phil Winder interviews Charles Humble discussing the state of AI strategy in business. Learn how to align the use of AI with your business goals.
Charles Humble
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2 min
Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks
Explore LLM agent and orchestration frameworks, LLMOps tools, and platforms for deploying language models effectively.
Natalia Kuzminykh
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17 min
Working with the EU AI Act - Interview with Kai Zenner
Phil Winder interviews Kai Zenner, Head of Office and Adviser for MEP Axel Voss, about the EU AI Act and its implications for the AI industry.
Dr. Phil Winder
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4 min
Transforming Legal Research with AI Legal Text Analysis
A legal AI assistant that was nearly 80% accurate at identifying the appropriate legal text in testing, streamlining workflows for Temple University's CPHLR.
Dr. Phil Winder
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4 min
Artificial Intelligence in the Future of Supply Chains
Discover how AI and generative AI are revolutionizing supply chains, optimizing inventory, demand, and logistics.
Dr. Phil Winder
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5 min
Getting Enterprise AI Strategy Right
A practical guide to building a successful enterprise AI strategy. Leverage generative AI, MLOps, and ML in real-world business applications.
Charles Humble
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15 min
A Comparison of Machine Learning Model Monitoring Tools and Products
Discover the best open-source and proprietary machine learning model monitoring frameworks and tools.
Dr. Phil Winder
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21 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.