AI, Machine Learning, Reinforcement Learning, and MLOps Articles

Learn more about AI, machine learning, reinforcement learning, and MLOps with our insight-packed articles. Our AI blog delves into industrial use of AI, the machine learning blog is more technical, the reinforcement learning blog is industrially renowned, and our mlops blog discusses operational ML.

Enterprise AI Assistants: Combatting Fragmentation

Published
Author
Dr. Phil Winder
CEO

Enterprise AI Assistants unify disparate data sources, providing real-time insights and access control. Building domain-specific assistants and orchestrating them (hierarchical or federated) offers scalability, specialized features, and better performance than single-vendor solutions. Ultimately, organizations need a tailored approach that consolidates knowledge, fosters collaboration, and addresses evolving AI integration challenges.

Read more

Keynote: Data Transparency, AI Use Cases, Data Sovereignty

Published
Author
Dr. Phil Winder
CEO

At Winder.AI, we’re seeing a shift in how businesses are adopting AI—not just for innovation, but for real, tangible commercial outcomes. I had the privilege of sharing these insights as a keynote speaker at ITAPA in beautiful Bratislava, Slovakia. The audience was looking for an insight into how AI is being used and some of the key challenges that are being faced today. I took the opportunity to share some of my thoughts about the importance of data transparency, some interesting use cases, and future regulation to watch out for.

Read more

Large Language Model Fine-Tuning via Context Stacking

Published
Author

Fine-tuning Large Language Models (LLMs) can be a resource-intensive and time-consuming process. Businesses often need large datasets and significant computational power to adapt models to their unique requirements. Attentio, co-founded by Julian and Lukas, is changing this landscape with an innovative technique called context stacking. In this video, we explore how this method works, why it is so efficient, and what it means for enterprises looking to embed custom knowledge directly into their AI models.

Read more

AI in 2024: A Year in Review

Published
Author
Dr. Phil Winder
CEO

In this reflective podcast, the team at Winder.AI — Dr. Phil Winder, Charles Humble, and Jonathan Hunter — take a deep dive into their year, discussing trends, lessons learned, and their vision for 2025.

Read more

AI Strategy for CEOs: Aligning Tech with Business Goals

Published
Author
Charles Humble
Associate Editor

Join Phil Winder and Charles Humble in this insightful interview as he delves into the critical components of an enterprise AI strategy, based upon his excellent article on the subject.

Gain actionable insights on aligning AI with your business goals, building robust data infrastructure, and prioritizing projects based on ROI. Learn about MLOps, AI security, and the role of generative AI and reinforcement learning across industries.

Read more

Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks

Published
Author
Natalia Kuzminykh
Associate Data Science Content Editor

Discover how to deploy open-source LLMs using LLM agent frameworks, orchestration frameworks, and LLMOps platforms. Learn about serving frameworks like vLLM and Ollama, and explore LLMOps tools that enhance language model performance in production environments.

Read more

Working with the EU AI Act - Interview with Kai Zenner

Published
Author
Dr. Phil Winder
CEO

In this webinar I’m pleased to present a recorded interview with Kai Zenner, Head of Office and Digital Policy Adviser for MEP Axel Voss. Kai is a key figure in the EU AI Act, responsible for authoring parts of the regulation, whilst advising and debating the rest.

In this interview we discuss the impact of the EU AI Act on the AI industry, the implications for AI ethics, and the future of AI in Europe. We talk about the potential challenges for AI companies, especially those that lie outside of the EU. We find that although there are holes in the regulation, it is a step in the right direction for the AI industry. Kai makes his suggestions as to how companies can prepare for and help to improve the regulation.

Read more

Artificial Intelligence in the Future of Supply Chains

Published
Author
Dr. Phil Winder
CEO

The use of artificial intelligence (AI) in supply chains has shifted from being a buzzword to a powerful tool with transformative potential. AI is no longer just an emerging technology—it is actively reshaping how companies approach their supply chain operations. I recently presented how AI, including generative AI, is transforming the supply chain industry. This post dives into the key insights from my presentation, highlighting the role AI plays in improving supply chains and what the future may hold.

Read more

Getting Enterprise AI Strategy Right

Published
Author
Charles Humble
Associate Editor

AI offers considerable benefits across almost every commercial enterprise, from efficiency gains to the potential for brand new products. But it also represents a threat, opening up possibilities for new entrants to disrupt established markets. In business environments, company executives look to produce an ‘AI Strategy’ but can lose sight of their objectives, rather like a politician thinking, “Something needs to be done and this is something, so let’s do this.

Read more
}