Digitization, artificial intelligence and chatbots play a central role during the three days of the CCW from 19 to 21 February 2019 at the Estrel Center in Berlin, Germany. In lectures, workshops and discussion rounds, companies will present their latest solutions for the customer service of the future. Only those who know and understand their customers will bind them to their company in the long term. Innovative technologies and methods help to ensure that customers are always available and enthusiastic.

It's European Data Protection Day on 28 January. The Council of Europe was celebrating the 12th edition of the day commemorating data protection. This year’s event focused on a topic which caused a lot of excitement in the last ten months: the General Data Protection Regulation (GDPR).

Customers who once had poor customer service from a company will associate this experience with that firm for a long time. They will terminate the business relationship and, in the worst case, will damage the company's reputation in the long run. Yet it is so easy to offer good customer service: Use smart troubleshooting!

This year, they will be more important than ever: We identify the customer service trends for 2019, from direct messages to customer service bots.

“AI solutions are growing as one of the hottest investments across industries. 37% of organizations have already started implementing AI for CX, while another 41% have plans to implement it by 2020 to boost their CX capabilities”. The stage was set for the cross-industry conference on Artificial Intelligence for Customer Experience, which took place at Hilton London Kensington on November 6-7. Experts representing leading international corporations from Financial Services, Cosmetics & Beauty, Telecommunications, and Travel provided detailed insights into their concepts and initiatives for implementing AI-driven concepts to improve customer experience in their respective markets.

Predicting the future: Sounds like something from a movie, not like an actual possibility. But it is one of the many features of machine learning.