Info International will be launching a series of events under the ConTech Live umbrella this year. The inaugural event last November, the conversations since, and the need in this space have created some new events for 2019.
ConTech 2019 is scheduled for December 5-6, 2019 in Central London. This flagship event for ConTech Live is already starting to shape up to be another phenomenal must attend event. ConTech 2019 will focus on the intersection between content and data science which is currently seen to be one of the most exciting, disruptive and unpredictable areas of publishing and content management.
ConTech Forum is a one-day event to be held on June 21st in Central London which will have two main objectives. Firstly, to revisit the sessions from 2018 with some of the speakers and delegates and to discuss the progress and development of the issues raised last November. Secondly to take the opportunity to further develop the draft ConTech 2019 programme. This event will welcome new attendees and all ConTech 2018 delegates will be offered a complimentary invitation.
ConTech Legal 2019 will be held on June 27th in Central London. It has been specially created to examine the issues law firms, legal publishers, statutory bodies and information providers face from the transformation of content through data science, AI and other emerging technologies. It will be a forum to discuss both the threats and opportunities new technologies bring.
ConTech Pharma 2019 will be launched in the next few weeks. It will be a one-day event in early September offering in depth sessions on the implications for pharma and digital healthcare of the disruptive forces on content of data science, AI, machine learning, etc.
ConTech Live has established a platform to showcase the very latest thinking and to help understand how data science AI and other technologies can unlock a host of new opportunities for organisations of all types and sizes.
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.
