Architecting Success: Data Foundations and Gen AI Innovation in Modern DevOps

Executive Dinner

October 8, 2025 - London, England

Visionaries

Daniel Harrisson AWS
Daniel Harrisson

Senior AI/ML Specialist

AWS

About Me

He leads Artificial Intelligence and Machine Learning initiatives for the UK Retail, Consumer Packaged Goods, Small and Medium Business, and Ireland sectors. With a unique blend of technical acumen and business insight, Daniel serves as a pivotal subject matter expert, helping organizations unlock significant value through cutting-edge technologies. As a thought leader in the field, Daniel specializes in developing practical strategies for fostering innovation and building adaptable corporate cultures in today's rapidly evolving marketplace. His expertise lies in bridging complex technological concepts with tangible business outcomes, positioning him as an invaluable asset to both AWS and its clients. In his role, Daniel fulfils two primary functions: 1. Acting as a subject matter expert, supporting AWS account teams in enabling customers to leverage AIML services more effectively. 2. Collaborating closely with Service and Worldwide teams to ensure optimal strategy for customer support and product development, incorporating crucial market feedback. Daniel's forward-thinking approach and ability to navigate the intersection of technology and business make him a sought-after speaker and advisor in the AI/ML space.

October 8, 2025

Agenda

All times United Kingdom Time

6:00 PM-9:30 PM

Architecting Success: Data Foundations and Gen AI Innovation in Modern DevOps

Generative AI (gen AI) is transforming DevOps by infusing intelligence into nearly every phase of the software delivery lifecycle. It goes far beyond traditional automation, enabling predictive capabilities, real-time decision-making, and dramatically improved efficiency and reliability. From planning and development to testing, release, and operations, gen AI is helping teams work faster, smarter, and with greater confidence.

AI is constrained by the data it can access. Traditional data challenges such as siloed databases, poor interoperability, or inconsistent governance are not just problems; they are barriers to AI innovation that limit what is possible and beg the question of how to bridge the gap between AI potential and data limitations.

Join us for an exclusive in-person event to explore the technical requirements for successful enterprise generative AI initiatives. We'll dive into real-world use cases—from intelligent automation in planning and AI-driven code generation, to streamlined testing, infrastructure as code, and frictionless operations. Connect with peers and industry experts to shape AI-enabled DevOps future while ensuring solid enterprise data architecture.


In Partnership With