Seb Matthews
Vice President
United Kingdom

Seb is an innovative technology leader and business strategist with over 25 years of experience across Defence, Aerospace, and Industry. Combining sharp business acumen with expertise in mission-critical systems, he leverages practical thinking and hands-on leadership to drive innovation and transformation. He seeks to challenge the status quo, relentlessly focusing on delivering meaningful outcomes and applying strategic insights to foster true innovation over mere disruption. His experience in high-stakes environments has honed his ability to deliver reliable, cutting-edge solutions that push the boundaries of technology. Seb advocates for non-blinkered ideation, encouraging teams to think differently and embrace new possibilities, and firmly believes that almost anything can and should be software-defined. An engaging conference speaker and published author, he shares his insights on innovation and technology, inspiring others to think critically and creatively. Outside of his professional pursuits, Seb enjoys quality time with his partner, children, and dog and is often found pottering around the stove or his vegetable garden.

AI Strategy Decoded: Build vs. Buy – What’s Your Move?
ai
strategy
copilot
build-or-buy

In today's rapidly evolving AI landscape, the question of whether to build custom AI solutions or buy off-the-shelf technologies can define an organisation’s future. Join this fast-paced, high-impact session, where we’ll dive deep into the strategic considerations every leader must weigh when developing AI capabilities. Drawing from years of experience in scaling AI-driven businesses, this session offers pragmatic insights, industry-tested strategies, and real-world examples to help you decide: Should you invest in building bespoke AI solutions, or is buying the better path to competitive advantage? With a blend of actionable insights and real-world case studies, this session will cover: Strategic Advantages of Building vs. Buying AI: Learn the key factors that drive long-term success in both models. Risks and Rewards: Understand the cost, complexity, and control dynamics that influence your decision. When to Hybridise: Explore how combining both approaches could yield the best outcomes for your organisation. Key Takeaways: Clarity on Decision-Making Frameworks: Gain a clear methodology to evaluate whether building or buying AI aligns with your organisation's goals. Cost-Benefit Analysis Expertise: Learn how to assess the total cost of ownership and ROI from both build and buy perspectives. Real-World AI Insights: Leverage lessons learned from successful AI implementations to avoid common pitfalls and make informed decisions. Expect a session packed with insights, speed, and actionable advice to power your next AI move!

Read more

The Human-AI Partnership: Reimagining the Future of Work
ai
machine-learning
strategy
copilot
human-machine-teaming

AI is transforming the workplace, not by replacing human workers, but by empowering them to achieve more. In this dynamic session, we’ll explore how AI augments human intelligence and reshapes the way we collaborate, make decisions, and solve problems. With years of experience in AI-driven innovation, this session will offer practical insights into how businesses can harness AI to redefine the future of work. Expect fast-paced, real-world examples and actionable strategies that will challenge your thinking on AI’s role in your organisation. We’ll cover: The Power of AI Augmentation: How AI can amplify human skills, improving decision-making, creativity, and productivity. AI-Enhanced Collaboration: Examining the tools and platforms, such as Microsoft 365, that are changing the way teams work together. Managing the Shift: Practical steps for fostering an AI-powered workplace culture that balances human and AI contributions. Key Takeaways: Understand the New Human-AI Dynamic: Learn how AI can complement, rather than replace, human work by automating mundane tasks and enhancing higher-level thinking. Optimise Teamwork with AI: Discover how AI-driven platforms are streamlining collaboration and improving team performance. Practical Adoption Strategies: Leave with actionable steps to bring AI into your workplace in ways that maximise productivity and innovation. By the end of the session, you’ll have a clear understanding of how AI can support—not replace—your team, and how to integrate AI tools to create a smarter, more efficient workplace.

Read more

Ethics and AI: Building Responsible AI Systems
ai
machine-learning
strategy
responsible-ai
ethical-ai

AI promises significant breakthroughs, but without careful consideration, it can also introduce risks related to ethics, fairness, and accountability. This session will take a deep dive into the ethical dimensions of AI, offering a practical guide to developing responsible AI systems that align with your organisation's values. With years of experience navigating the complex AI landscape, this session provides critical insights into building AI governance frameworks that ensure transparency and trust. We’ll cover best practices and real-world examples, touching briefly on Microsoft’s Responsible AI initiatives as part of a broader conversation. In this session, you will learn: Principles of Responsible AI: Understanding fairness, transparency, and accountability in AI development and deployment. Governance and Oversight: Practical steps for implementing AI governance frameworks that ensure ethical use of AI systems. Preparing for the Future: How to embed ethical considerations into your AI strategy to mitigate risks and build trust. Key Takeaways: Build Ethical AI Systems: Learn the essential principles for ensuring fairness, accountability, and inclusivity in your AI solutions. Establish Strong Governance: Gain practical tools for building AI governance frameworks that ensure responsible AI use across your organisation. Mitigate Risks Early: Understand how to integrate ethical considerations into AI projects from the outset to avoid common pitfalls and foster long-term trust. You’ll leave equipped with actionable insights to ensure your AI systems are not only powerful but responsible—helping you build trust and long-term success for your organisation.

Read more

AI Innovation on a Budget: Scaling Smartly
ai
machine-learning
finops
growth
scaling

AI innovation doesn’t have to come with a hefty price tag. In this high-impact session, we’ll explore how organisations of any size can implement AI solutions on a budget, using scalable, cost-effective strategies. Drawing on years of experience, this session will provide practical guidance on leveraging open-source tools, cloud services, and efficient workflows to maximise the impact of AI while keeping costs in check. With references to Microsoft Azure AI and other platforms, this session is focused on making AI accessible to organisations with limited resources. During this session, you’ll discover: Low-Cost AI Innovation: How to deploy powerful AI solutions without requiring huge financial investment. Scaling AI Smartly: Practical approaches to scaling AI from pilot projects to enterprise-wide deployments without ballooning costs. Maximising Resources: Leveraging open-source tools, cloud-based services, and pre-built AI models to accelerate adoption and innovation. Key Takeaways: Innovate with AI on a Budget: Learn how to implement AI solutions that deliver significant value without massive investment. Efficient Scaling: Understand how to scale AI initiatives pragmatically and efficiently to maximise returns. Leverage Cost-Effective Tools: Discover how to take advantage of open-source and cloud-based AI solutions to deliver big results on a small budget. Whether you’re a start-up or a large enterprise looking to innovate without breaking the bank, you’ll leave this session with the tools and strategies to achieve AI success, no matter your budget.

Read more

Seb can deliver sessions in
English
Relevant industries
Computer Software

Report speaker profile

Reason for reporting this profile (multiple options possible)


Please select at least one option.

Please select at least one option.

Please select at least one option.

Please select at least one option.

Please select at least one option.
Please complete this required field.
Please complete this required field.

Thank you for reporting this profile, we are going to review it as soon as possible.