CloudFactory

The future of AI is here, and it's all about real-world impact.

Everyone's talking about applying AI to real-world use cases, but how are leading organizations actually doing it? Our AI_IRL London event was a treasure trove of trends, tools, and best practices for AI implementation.

Watch the full presentation recording and get an exclusive look at how industry leaders are shaping the future of AI.

In these insightful sessions, you’ll:

  • Learn to build robust systems with essential security guardrails to minimize risk and ensure responsible AI implementation.
  • Explore the potential benefits and challenges of large, pre-trained models and the implications of our growing reliance on them.
  • Find out how focusing on model inference instead of datasets can significantly accelerate your time to market.
Watch the presentations

Tell us about yourself
Alberto Romero
LinkedIn icon

Alberto Romero

Director - Gen AI Platform Engineering, Citi


Alberto Romero leads Citi’s design and construction of Gen AI platforms, driving initiatives to develop and productionize AI solutions.

Having led several Gen AI projects focused on finance services and insurance, Alberto discussed critical security scenarios AI teams need to protect against and the potential guardrail approaches that can be implemented.

Dan Saunders
LinkedIn icon

Dan Saunders

Data Science Team Lead, Ripjar


Dan Saunders has extensive experience in data science and product development and is an expert in applying advanced AI techniques to tackle complex challenges in data analysis.

Drawing on examples from AI solutions used to combat money laundering, terrorism, and criminal networks, Dan offered a compelling look at the implications of the growing reliance on large, pre-trained general-purpose models.

Matt Beale
LinkedIn icon

Matt Beale

Sr. Solutions Consultant, CloudFactory


Matt Beale helps companies overcome data challenges and scale their AI and machine learning operations. He is also key in advocating for client needs and perspectives, providing valuable feedback to CloudFactory's platform development teams.

Informed by his decade-long experience as a tech solutions consultant, Matt demonstrated how focusing on model inference, rather than solely on datasets, can significantly accelerate the journey to production-ready AI.