Earlier today, AlphaBlues and Coronabot were featured on CNN’s Fareed Zakaria GPS show. Back in March, Accelerate Estonia and Garage48 hosted an online hackathon “Hack The Crisis” to help Estonia recover from the ongoing crisis. AlphaBlues alongside with other AI enthusiasts developed virtual assistants (EST & ENG) for COVID-19 related questions. This initiative was so successful that a global hackathon called “The Global Hack” will take place later this week.
The English Coronabot was launched on March 19 following the success of its Estonian version. During the first 5 days the Estonian chatbot gave info on COVID-19 to 4,000 users. Indrek Vainu, CEO of AlphaBlues, emphasized the importance of reliable automated communication in the midst of a crisis. “On a daily basis we build chatbots to automate communication. During the past few days we’ve seen an increase in the need for having easy access to truthful information. Therefore we decided to help the community with an English-based chatbot.” “Everyone can share Coronabot on their website. This way we all collectively ensure that
Accelerate Estonia and Garage48 hosted an online hackathon „Hack the crisis“, which was inspired by the global COVID-19 crisis. Over 1000 specialists and enthusiasts joined forces this past weekend to develop solutions that could help Estonia to recover from the pandemic quickly and gain an edge in the post-crisis world. And all of it was done in just 48 hours! AlphaBlues alongside with other AI enthusiasts developed and launched Coronabot, a virtual assistant that gives information about COVID-19 and crisis management to Estonian people. In tough times like these, mass media usually gets over-saturated with constant news and information noise,
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.
In our previous post we covered how our visual product discovery system solves the problem of product discovery. In this post we focus on how the same technology is used to solve the problem of “banner blindness” — a case where the visitor to a website chooses to ignore the banner ads. I guess it needs no further explanation, we’ve all ignored banner ads. They flash, play tedious videos, load slowly and show random products. They are mostly irrelevant. Yet, the content on the web would be different if it were not for banner ads and other type of digital advertising. Much
Recently there has been much talk about Google’s AlphaGo that defeatedthe best human player in the game of Go. A remarkable step that shows the potential of artificial intelligence. Neil Lawrence from The Guardian had an especially interesting take on the subject as he drew a parallel with the development of the steam engine in 1712. The steam engine was initially built specifically for a single use case, pumping water out of coal mines. However, it was James Watt who made significant improvements in the efficiency of the steam engine’s condenser so that it could be used in many other fields
In simple terms deep learning is a method of abstraction through which an algorithm solves a complex problem with little or no instruction. Basically you can throw some tough problems at the algorithm and it will spill out the answers. Of course it has its limitations and the quality of answers depends on several factors but as a marketing specialist, there are reasons why you should pay attention. To understand the impact that deep learning can have on ecommerce and marketing, let us take a specific example. For example, let’s say Jane is visiting an online store and is looking
After the holiday season it is common to experience a post-shopping hangover of sorts. You know, the aftermath of a feeling that you had to engage too much in commercial consumption. And the feeling of frustration in shopping is most often associated with the relentless searching for the things you want and then being unable to find them. With these thoughts in mind we have been building CartSkill — an Artificial Intelligence based system to make the online product discovery process easier for people (you can access the demo here). With the choice and selection that exists today it is hardly the