July 2017

Estonian EU Presidency & Microsoft AI event

We were delighted to take part in the Microsoft event about AI in conjunction with the Estonian EU presidency and the first informal Competitiveness and Telecommunications Council meeting of EU ministers under the Estonian Presidency of the European Council. Microsoft and the Estonian government gathered over 150 officials from all European Union Member States, the European Commission and the European Council in Tallinn for an evening reception focused on artificial intelligence and digital transformation stories. AlphaBlues was invited as one of the 4 companies to take part in the event, pitch their solution to the delegates and demo our NLP and AI technology.

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New customer – Lattelecom

Glad to announce that we have started working with Lattelecom on a Virtual Customer Assistant. Lattelecom is a dynamic and innovative communications company which helps to bridge the gap between technology and the individual. They provide telecommunication and IT solutions and are one of the biggest companies in Latvia employing more than 2,000 people.

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Case Study – LHV

A few weeks ago we launched LHV’s customer service into Facebook Messenger. LHV Group is the largest domestic financial group and capital provider in Estonia that is currently holding 2 billion euros of Estonian assets. They are one of the most innovative banks in Northern Europe and they were looking for a new and efficient way to engage with their customers 24/7. It has been a great journey working with the bank’s team and during the past weeks we have been monitoring the performance of the Virtual Customer Assistant who is called Uku. It has been good to note that more than 50%

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Our guest post on VentureBeat

We ran a story in VentureBeat on the reality of automating customer service chat today with artificial intelligence. It reflects our key learnings throughout working with various customers and attending a multitude of events. There are several takeaways but our key points are: Good Virtual Customer Assistants need customers’ chat log history. There is no one-size-fits-all algorithm for understanding user intent. Moving beyond current machine learning approaches. Humans are still needed in customer service. For more details, check out the article here.

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