Generative AI: A tale of Two Case Studies, by Farooq Ansari

Abstract

Based on two real-world projects, this talk explores a range of observations and learnings on:

• the state of the market
  how to approach a generative AI project to ensure success, and mitigate risk
• the challenges faced in both projects
• how to build and refine an approach to delivery
• how to maximise output
• the importance of continuous iteration and feedback loops
• key learnings
• what the future looks like (foundational models, agentic AI and future gazing)

I’ll aim to provide practical insights for practitioners on the importance of : a deep discovery and refining and filtering use cases; rapid development cycles; effective feedback loops; and other (non-AI) factors critical to success.

Bio

Farooq has over 15 years experience in the tech industry across project management, product and commercial roles. He’s worked with clients ranging from startups to multinationals across a range of industries on projects spanning digital transformation, technology modernisation and innovation.
Farooq has spoken at a number of conferences and panels across the country, and is an advocate of the tech scene in the North. He is based at Softwire’s Manchester office where he works with a range of clients with a focus on software and data engineering, generative AI and software modernisation.
Farooq previously worked in the City as a finance and derivatives lawyer, before enjoying a stint at the BBC. Since then, he has also worked in a range of agencies and consultancies in Manchester and London before joining Softwire in 2022.