Jinfo: Stephen Phillips

Stephen Phillips
Lead Analyst

Stephen is a passionate advocate for the information industry. He believes Jinfo has a critical role to help clients maximise the value when buying information.

Stephen's expertise continues to be sought after. He currently serves as a non-executive director at M&A Monitor and Senior Advisor to Couranto UK Ltd.

His knowledge enriched "The Emerald Handbook of Modern Information Management". He is on the Business Information Review editorial board, and he led their annual survey.

Stephen's dedication extends to the wider information profession. He created a peer network for the UK's financial services industry. He also holds leadership positions with CILIP and SLA Europe.

His work with clients, suppliers and conferences keeps him at the forefront of the industry.

Before joining Jinfo, Stephen managed a global research team and extensive portfolio of suppliers at a global investment bank.

Stephen can be contacted at stephen.phillips@jinfo.com

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Articles by Stephen Phillips:

Should information teams pivot away from research?
Tuesday, 18th February 2025

Information managers need to figure out how AI will impact their teams. The latest iterations of the technology are entering the realms of research and claim to be comparable to a junior analyst or intern.

In this article I envisage a future where information managers and their teams continue to complement and augment this technology.

February 2025 Update
Wednesday, 12th February 2025

Data-led initiatives and the role of information managers
Educating colleagues and users about developing and using AI
Standardised data licences for AI - a new study
From information retrieval to integrated intelligence with Dow Jones

Data-led AI initiatives - the role for information managers
Tuesday, 11th February 2025

As algorithms and large language models (LLMs) become commoditised, the AI conversation is shifting away from the technology.

Data is the ultimate differentiator and without data, there is no AI.

In this article, we reflect on the opportunity for information managers to leverage their expertise to source and manage high quality data for data-led AI initiatives.

Unlocking data with standardised licensing terms
Thursday, 6th February 2025

The increasing demand for high-quality, ethically-sourced data to fuel artificial intelligence (AI) has revealed significant gaps in the frameworks that govern data sharing.

A recent study has highlighted four actions which are important for information managers:

Develop standard data licences for greater access.
Address ambiguities in current licensing practices.
Simplify licensing frameworks while enabling customisation.
Use new frameworks to enhance governance, compliance, and ethics.

In this article, we analyse the findings and actions, thus enabling information managers to foster responsible development and use of AI by standardising and simplifying data licensing terms.

January 2025 Update
Tuesday, 7th January 2025