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Talking about Machine Learning at ConTech 2019 -

ConTech 2019 will be transforming content through data science, AI and other emerging technologies on December 5th and 6th at the Millennium Gloucester Hotel, London.

Many organisations in ‘mature’ industries are now challenged to change rapidly, to keep pace with the leaders of the consumer internet that are now encroaching on, and often dominating all verticals. In the pursuit of such ‘digital’ excellence, the capability for software engineering is key, and increasingly, the context for software engineering is now AI & Machine Learning.

This talk by Finbarr Joy, Group CTO from Superbet presents examples from different organisational contexts for transition of teams and their work, from ‘regular development’ within ‘corporate’ functional silos to multi-disciplinary delivery units, focused on machine-learning by combining the practices of software engineering, quantitative analysis and data science. Delegates will learn the factors that made a difference to the organisations presented, lessons learned may even speed their own transitions.

Finbarr will set out the organisational challenges facing today’s content businesses from a very different professional context. His experience offers real life examples and guidance for information and content professionals to start to plan their transformation journeys. According to Clive Snell, MD ConTech.Live , it is an essential part of the ConTech mission to present concrete success stories and best practice case studies from which the community can gain fresh insights as they navigate this rapidly changing landscape.

Those in content, information or data science can see the full speaker and session details and book today.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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