Indrek Vainu

AlphaBlues company profile in E-Estonia online magazine

How to let AI do the boring job and keep your customers happy By Federico Plantera Disruption, disruption, disruption. It’s been only a couple of years that we hear this word almost everywhere and about potentially almost everything. This moment was supposed to come, at some point – the moment when we actually take a look at the meaning on a Cambridge dictionary. A disruption is “an interruption in the usual way that a system, process, or event works”. And it is true, the tech and industrial revolution of this decade are indeed bringing dramatic changes to the way we do things: with

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Introducing VideoBot – How To Make Your Bot Interactive In AlphaChat

Today we are launching VideoBot – the next step in interactive chat automation. Ever since we started building AlphaChat as the next generation chat tool that combines AI and live chat, we noticed the need to bring more “life” into chat conversations. What we were looking for was how to create more emotions to the visitors on your website, so that they feel a closer connection to your brand and wish to engage with your products and services. With the launch of VideoBot we are taking a bold step into that direction. So what does VideoBot do? Our VideoBot features allows

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Events We Will Attend & Speak At This Fall

Here is a list of events where you can catch the AlphaBlues team over the next few months. We’ll be speaking about how our customers have implemented and are using our AlphaAI and AlphaChat product. If you’re attending stop by and say hello. Will be good to connect 😁 🇪🇪 Language Technologies Summit, 27 Sept, Tartu www.hlt2018.ut.ee See our demo and learn how the NLP works at the event specifically focused on language technologies. 🇵🇱 AI & Big Data Congress, 1-2 Oct, Warsaw http://bigdatacee.com/ Hear Indrek talk how Lattelecom is using virtual assistants + what are the lessons from implementing AI in the real

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New product launch – AlphaChat

Excited to share news that we’re now one of the first to have integrated AI virtual assistants and live chat seamlessly into a coherent solution.  We now have two products for our enterprise customers. First, there is AlphaAI – our own NLP engine and virtual assistant building product. And the second product we just launched is AlphaChat. AlphaChat is a live chat platform (akin to Intercom, LiveChat, Zopim) where customer service teams can answer incoming chats from customers. Why is this exciting? AlphaAI and AlphaChat work in tandem. They fully automate customer experience and journey into one flow – from

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Why Customer Experience Matters More Than You Think And How Virtual Assistants Can Help You Beat Your Competitors

Virtual assistants and chatbots came to the wider audiences in the spring of 2016 when Facebook announced the possibility to build bots into Messenger. After initial inflated expectations the chatbot fever somewhat declined. However, much like in the Gartner Hype Cycle, the importance of virtual assistants is bound to grow in importance. And the reason is that superior customer experiences enable companies to retain and upsell to existing customers. This follows the rollout of Aggregation Theory impact on businesses. “First, the Internet has made distribution (of digital goods) free, neutralizing the advantage that pre-Internet distributors leveraged to integrate with suppliers.

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Top 2 Questions From Customers Answered – What Topics Should My Bot Know and How Much Training Data Do I Need?

The content and structure will largely determine the value for your virtual customer assistant. It stems from the use case that you give to your bot. Hence, before starting to build the bot it is important to really understand what you need the bot to do and how. Once, that is determined, then you need to figure out the content that goes into the bot. Some important points to keep in mind about the content for the bot that we get asked quite a lot. We advise to select around 50-60 (max 100) topics for your bot. These topics should

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How virtual assistants understand language

“My language is tough and hard to understand for AI”. This what I hear often when travelling to customers in Europe. What people are worried about in non-English speaking countries is that their language is more complex for the AI to master than English. This is totally understandable. Most AI companies focus on English as it is one of the most widely spoken languages in the world. However, when I talk to people from Hungary, Latvia and Poland, their concern is widely the same. Language is complex and as of today no AI system in the world is fully capable

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Tallink launches its virtual assistant Nemo

Tallink (Nasdaq OMX Nordic: TAL: TAL1T) has launched their virtual customer assistant, called Nemo, on their website www.tallink.ee Nemo assists Tallink customers with questions related to booking trips on Tallink passenger ships and general inquiries about the services. Nemo was built by AlphaBlues and is utilizing the Natural Language Processing of the AlphaBlues platform. The aim of Nemo is to help customers get immediate information to their questions, allowing customer support agents to focus on more complex issues. According to Martin Mürk, head of Customer Experience and Analytics “virtual customers assistants serve an increasing amount of customers as the first-point of

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New feature release – user authentication in virtual assistants

One of the recent product features we’re proud of at AlphaBlues is the ability to authenticate users and provide detailed answers for the users. It is a new and exciting feature that allows our customers to offer a personalized level of support to their users through virtual assistants much like human customer support agents can. In the previous post we highlighted how the lifecycle of virtual assistants is evolving throughout time. Those companies that have high chat conversations volume on a monthly basis and innovation capacity are seeking more and more for virtual assistants to actually conduct activities out on

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Chat automation projects’ lifecycle

  Over time I’ve noticed a trajectory for companies in adopting virtual assistants. Companies start from any of the starting points and then slowly move up the trajectory as their chat automation project progresses. Needless to say, all the successful chat projects differ in speed but on average, the course is the same.   Understanding this trajectory helps you assess your own organization, where you currently stand and how to think about chat automation in the larger context of automation. Take this as an automation roadmap that you can use internally in strategy meetings or when planning out your activities

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