Key takeaways from the June 2024 Thorogood Data & AI Update

Generative AI is Not Magic and it didn’t come from nowhere. It is best used in combination with established data science and data engineering capabilities to address valuable business goals rather than being used alone.

AI is not just a new tool but a new context that influences all parts of the Data and AI ecosystem. AI opens up new data sources and ways of handling data but it needs to be used in an integrated way not as a bolt on standalone solution.

Oxford University Endowment Management manages the investments in Public and Private Equity funds that they hold at any one time they need to be able to refer to the various funds written reports on the state of the market, the  state of the fund  and predictions for the future. The system we built enables OUem to consolidate reports for easy access, add AI powered insights to human interpretation and amplify the investment management team’s time.

A case study showing how category managers in a CPG Manufacturer can use ML experiments to give a quantitative perspective to negotiating shelf positioning for a given product.

AI use should be Ethical, conform to Regulations, satisfy commercial interests, be within limits of operations risk and be likely to be adopted by the relevant people.

The use of Geospatial data to model the effects of extreme weather on our built environment for insurance purposes.

Helping our Clients build trusted data sources to enable them to respond to the evolution of data legislation and requirements.

Building a relevant use case based on a real customer problem to showcase value.