We often get asked how does NLP work in chat automation. What languages is it good at? Does it really understand my language? What algorithms do you use in your pipeline? To accommodate those requests, we added this video where our CTO Hendrik talks about these topics at the Nordic Data Science and Machine Learning Summit in Stockholm. It is a technical presentation and gives a good overview of how machines understand language and how we approach the topic.
One of the questions that we encounter when talking to people at trade shows and tech conferences is “Why do I need a bot?”. It is a valid question. Why indeed. Bots have been around for almost 2 years now if we count Facebook’s opening of the Messenger API as the day when it started in large scale. Since then there has been plenty of experimentation and developments. By and large we see 3 reasons why customers need a bot. I’ve also added 1 reason why they don’t need a bot in the end to keep a nice balance
We’ve been travelling quite a bit the beginning of this year. One of the best events thus-far has been the Re-Work Deep Learning and AI Assistant Summit that took place in San Francisco in January 2018. It hosted a variety of exhibitors (including AlphaBlues 👍) and close to 1,000 participants. The talks were of high quality and there were several interesting exhibiting companies. I put down some thoughts that we observed throughout the whole trip in Silicon Valley as they reflect the state of the AI in the NLP & intent understanding space that we are working in. There were plenty
The upcoming Deep Learning Summit in San Francisco is already picking up steam. Not only does it cover an excellent lineup of speakers and industry professionals but also gathers a great selection of exhibitors. In their official blog, NVIDIA has highlighted AlphaBlues as one of 8 startups globally to check out in the summit. If you’re attending the event, stop by and have a chat in our booth 😊 You can check out the full blog post on NVIDIA’s blog here https://blogs.nvidia.com/blog/2018/01/02/ai-startups-to-check-out-at-the-re-work-deep-learning-summit/
Glad to announce another new customer as we started working with Telia. Telia is the leading telecom company in Estonia and is part of the Telia Company Group. In Estonia Telia provides a variety of services including mobile, home internet and TV, online store and business services. Responsible Business Forum in Estonia rewarded Telia Eesti with the highest quality label – the golden level – recognising the company’s fair, informed and environmentally friendly activity. In 2016 Telia Estonia revenues reached 289 million euros and it served close to 900,000 mobile customers in Estonia. Telia Company Group is one of Europe’s
Beginning of 2018 will see us continue where we left off in 2017. After rapid advances on the tech side of our product and new customers we’re off to several events in January / February to meet new customers, partners and people to share ideas with. Here is the schedule for our travels for next month: January 25-26, San Francisco, US. Exhibiting at the AI Assistant and Deep Learning Summit. February 5, Helsinki, Finland. Speaking at the Machine Learning event By HEL Tech and Aalto Entrepreneurship Society. February 7-8, Riga, Latvia. Exhibiting at TechChill tech conference that draws more than
StartupDay this year was a great success with more than 2,500 people attending. Gave a talk on the main stage about how we have built our company and approach AI. Title of the talk “Applied AI – are we there yet?”. For those who are impatient, the answer is yes, we’re already here in certain fields we’re tackling 😃
Glad to announce that we have started working with Tallink on a customer service chat automation project. Tallink (listed on the Nasdaq Tallinn exchange as TAL1T) is the leading provider of high-quality mini-cruise and passenger transport services in the northern Baltic Sea region, as well as the leading provider of cargo services on selected routes. In 2016 the company had over 9 million passengers, achieved revenue of €938 million and employed more than 7,000 people. As a result of their recent investment and fleet renewal program, Tallink currently deploys some of the most advanced cruise ferries on the Baltic Sea.
One of the toughest problems in building bots is the scarcity of available training data. As all machine learning systems, chatbots and virtual customer assistants function best when they have been trained on good quality training data. In the beginning all bots have to be taught what things mean. In the context of understanding what customers want when they contact customer service, this means teaching bots what topics (i.e. intents) do certain questions refer to. As a simple example, people ask from a bank “I have not received my salary” or “Where is my transfer”. These are seemingly two different
Yesterday our CTO Hendrik Luuk had the honours of presenting at the Nordic Data Science and Machine Learning Summit in Stockholm 🇸🇪 The conference was sold out, which gives a hint to the level of interest in the topic of machine learning in this region. Our talk was titled “Automating customer service chat via AI-based natural language understanding” and in a nutshell we gave an overview and key lessons from building up a customer service chat automation platform with built-in natural language understanding system from ground zero. The key takeaways of the talk were: Human-level language understanding is much more complicated than