Ian Massingham
Employers on the program
- 2026Anthropic1 talk
- 2025–2026Griptape4 talks
- 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.
Appearances by year
- Data Decoded
- Big Data LDN
- dotAI
- O'Reilly Artificial Intelligence Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 17, 2026 | dotAI 2026 | dotAI | speaker | How Anthropic Uses Claude as Anthropic | |
| Apr 22, 2026 | Data Decoded LDN 2026 | Data Decoded | speaker | Building Generative AI Applications: The tricks and tips you need to avoid common pitfalls as Griptape | |
| Oct 21, 2025 | Data Decoded MCR 2025 | Data Decoded | speaker | Building with Generative AI: The Tricks and Tips You Need to Avoid Common Pitfalls as Griptape | |
| Oct 21, 2025 | Data Decoded MCR 2025 | Data Decoded | keynote | PANEL: Agentic & Generative AI – Opportunities and Challenges as Griptape | |
| Sep 24, 2025 | Big Data LDN 2025 | Big Data LDN | speaker | What'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 lessIn 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, 2019 | O'Reilly Artificial Intelligence Conference London 2019 | O'Reilly Artificial Intelligence Conference | keynote | Start your engines: Making deep reinforcement learning accessible to all developers (sponsored by AWS) as Amazon Web Services |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ben Clinch | 3 | — | 2026 |
| Dan Keeley | 3 | — | 2026 |
| Joe Herbert | 3 | — | 2026 |
| Mike Ferguson | 3 | — | 2026 |
| Rosanne Werner | 3 | — | 2026 |
| Arash Ghazanfari | 3 | — | 2025 |
| Alex Pearce | 2 | 1 | 2025 |
| Alex Patient | 2 | — | 2026 |
| Andy Cotgreave | 2 | — | 2026 |
| Ashwinth Solomon | 2 | — | 2026 |
| Ayushman Saha | 2 | — | 2026 |
| Daniel Adams | 2 | — | 2026 |
| Darren Wood | 2 | — | 2026 |
| David Reed | 2 | — | 2026 |
| David Rice | 2 | — | 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.