Data Management Review

With so much talk about ‘cool’ technologies such as machine learning, artificial intelligence and blockchain (and its natural extension distributed ledger technology), how much of it is real and applicable to data management?

Is it delivering – or is it likely to deliver – on the promise of greater automation, efficiencies and quality at reduced risk and cost? What business insight can be gleaned from its implementation? What added value can be gathered to help exploit new opportunities?

Which technologies should your organisation be using to improve data management and what benefits can you expect to gain?

This webinar will explore:

  • How technologies like AI, blockchain or distributed ledger technology, and machine learning could help in data management
  • What are the business use cases and where to draw the line between investment and returns
  • Innovative solutions to consider for your organisation
  • How to integrate and optimise new technologies
  • The benefits and limitations of using innovative technology
  • How to secure internal backing and deliver return on investment

Speakers:

Sarah_Underwood

Moderator: Sarah Underwood, Editor,
A-Team Group

Geoff Horrell 100x100

Geoff Horrell, Director of Applied Innovation, London Lab, Thomson Reuters

More About Our Speakers:

Geoff Horrell
Director of Applied Innovation, London Lab
Thomson Reuters

Geoff Horrell is Director of Applied Innovation, London Lab. His current focus is helping asset managers with digital transformation using the Knowledge Graph, Data Fusion and Intelligent Tagging NLP capabilities.

Over the last 15 years, Geoff has a long track record of launching innovative content products, including Value Chain, TRBC, Events Platform, Estimates Delta and Knowledge Direct.

Geoff is based in London and has a Master’s in Economics from Edinburgh University.

Sponsors:

Thomson Reuters 300
   
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