Data Conference Databasea Query.Farm index
Speakers

Ian Massingham

Employers on the program

  1. 2026Anthropic1 talk
  2. 2025–2026Griptape4 talks
  3. 2019Amazon Web Services1 talk

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecData DecodedData DecodeddotAIdotAI
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Data Decoded
  • Big Data LDN
  • dotAI
  • O'Reilly Artificial Intelligence Conference

Talks

DateEventConferenceRoleTitleLinks
Sep 17, 2026dotAI 2026dotAIspeakerHow Anthropic Uses Claude
as Anthropic
Apr 22, 2026Data Decoded LDN 2026Data DecodedspeakerBuilding Generative AI Applications: The tricks and tips you need to avoid common pitfalls
as Griptape
Oct 21, 2025Data Decoded MCR 2025Data DecodedspeakerBuilding with Generative AI: The Tricks and Tips You Need to Avoid Common Pitfalls
as Griptape
Oct 21, 2025Data Decoded MCR 2025Data DecodedkeynotePANEL: Agentic & Generative AI – Opportunities and Challenges
as Griptape
Sep 24, 2025Big Data LDN 2025Big Data LDNspeakerWhat's Hard About Developing LLM-Powered Applications?
as Griptape.ai
In this talk, you will learn about some of the common challenges that you might encounter while developing meaningful applications with large language…Show less

In this talk, you will learn about some of the common challenges that you might encounter while developing meaningful applications with large language models. Using non-deterministic systems as the basis for important applications is certainly an 'interesting' new frontier for software development, but hope is not lost. In this session, we will explore some of the well known (and less well known) issues in building applications on the APIs provided by LLM providers, and on 'open' LLMs, such as Mistral, Llama, or DeepSeek. We will also (of course) dive into some of the approaches that you can take to address these challenges, and mitigate some of the inherent behaviors that are present within LLMs, enabling you to build more reliable and robust systems on top of LLMs, unlocking the potential of this new development paradigm.

Oct 14, 2019O'Reilly Artificial Intelligence Conference London 2019O'Reilly Artificial Intelligence ConferencekeynoteStart your engines: Making deep reinforcement learning accessible to all developers (sponsored by AWS)
as Amazon Web Services

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ben Clinch3—2026
Dan Keeley3—2026
Joe Herbert3—2026
Mike Ferguson3—2026
Rosanne Werner3—2026
Arash Ghazanfari3—2025
Alex Pearce212025
Alex Patient2—2026
Andy Cotgreave2—2026
Ashwinth Solomon2—2026
Ayushman Saha2—2026
Daniel Adams2—2026
Darren Wood2—2026
David Reed2—2026
David Rice2—2026

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.