Throughout the year we take part in a variety of events in locations around the world and online. Check back often to learn more about where you can meet us and our partners, hear presentations from our knowledgeable team members and experience live demonstrations of our solutions.
If you missed one of our past events, check out our Previous Events page to read our event round-ups, review presentation slides and view event recordings on-demand.
27-30 March 2017, Orlando, FL
Mike Murphy, COO of Creative Virtual USA will be discussing ‘Contact Centers 2020: What Will Drive Innovation in the Contact Center?’ as a panelist at Enterprise Connect. This session will take place at 1:00 pm on 27 March as part of the ‘Communications and Collaboration 2020’ track.
06 April 2017, Live Webcast
Chris Ezekiel, Creative Virtual Founder & CEO, will join a panel of experts for this live CRMXchange webinar. He’ll give an inside look at how our integration of virtual agents and live chat is defining industry best practice and helping to deliver seamless and personalised omnichannel customer engagement.
28 April 2017, Hong Kong
Creative Virtual will again be a sponsor of the annual Hong Kong Call Centre Association (HKCCA) International Symposium with our partner Continuous Technologies. Chris Ezekiel, Creative Virtual Founder & CEO, is a featured speaker and will present on the event theme of “Customers @ EASE – Effortless; Accurate; Seamless; Effective.”
4-5 May 2017, London
Creative Virtual will once again be an Event Sponsor of Opus Research’s IA Conference in London. The conference will explore how intelligent assistants are providing an engaging customer experience using natural language understanding, machine learning and artificial intelligence.
26 June 2017, Berlin
Creative Virtual is a sponsor for the second international Chatbot Summit which will bring together the leading players in the chatbot industry. Björn Gülsdorff, Head of Business Development at Creative Virtual, will present a session on enterprise chatbots as part of the machine learning track.