LSEG CTO outlines approach to AI costs, models and governance
AI · First reported 28 Oct, 18:43 · Updated 18:56
Ken Beinert says LSEG’s AI strategy combines AI-ready data, AI-enabled products and tools for employees. He describes evaluating models and costs for specific use cases, with product P&L owners accountable for AI spending.
- Beinert describes three pillars of LSEG’s AI strategy: preparing trusted data for AI, embedding AI in products, and supporting employees with internal tools and practices.
- He says AI investment planning includes infrastructure, data preparation and ongoing safeguards and evaluations, as well as model-token costs.
- Beinert says product P&L owners are responsible for AI spend, supported by central platforms and controls developed with enterprise AI and finance teams.
Summary written by Lux AI from 1 articles
Key facts
- Interviewee
- Ken Beinert, LSEG Chief Technology & Operations Officer.
- AI strategy
- Three pillars: AI-ready data, transformative products and an intelligent enterprise.
- Model approach
- Beinert says LSEG uses a mix of frontier, smaller and custom models.
- Cost accountability
- The product P&L owner is responsible for that product’s AI spend.
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