Indrek Vainu

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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How To Align Your In-house Team For Executing A Successful Chatbot Project

Like with any project, good planning is the key to success also with your bot project. Having seen many chatbot and virtual customer assistant projects over the past years, there are couple of lessons learned and best practices to keep in mind. The key feature here is how to align your team inside the company so that the project gets delivered in time. The task becomes especially tricky when your company has thousands of employees and you are coordinating tasks across several departments and teams. Here are the things to help you out. 1️⃣ Pick a leader. Choose the person

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New customer – Enefit

Glad to announce that Enefit has launched their virtual sales assistant on the Finnish market. Enefit is Eesti Energia’s subsidiary in Finland. Eesti Energia is an energy group which consists of more than 20 companies and employs approximately 5 800 people. It is the largest producer of energy in the Baltics, incl. one of the biggest renewable energy producers. Enefit is currently in Latvia, Lithuania, Poland, Finland and Sweden. Enefit recently entered the Finnish market and built a virtual sales assistant, called Sähköbotti (Energy Bot in Finnish). The bot was built on the AlphaBlues platform and integrated on the www.enefit.fi

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#AI and #fintech Demo Days with Polish corporations

At the beginning of the year we joined the PwC Startup Collider program in Warsaw Poland as our first steps into that market. From our company point of view the past few weeks have been exceptionally exciting as we have been able to attend several corporate-startup matchmaking events in Poland and met with a large variety of companies to understand their needs when it comes to AI and automation. In mid-March we attended The Heart Demo Day at the awesome Warsaw Spire building. The Heart is a leading corporate-startup matchmaking incubator in Eastern Europe and this demo day was focused on

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5 Things Successful Companies Do When Setting Up Their Virtual Assistant

You’ve become interested in having a virtual assistant for your company but are unsure how to start. What should be done? How? What is important? What is less important? These are all questions we get when we meet with companies. They wish to know what is the best practice in setting up a bot and what to keep in mind. Having deployed dozens of bots we have a learned a thing or two and we’ve highlighted some of the key lessons to keep in mind below. Each of them deserves more attention than we can give in this short post

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New product release: speech-to-text and text-to-speech integration

Excited to announce our latest product release as we integrated speech-to-text and text-to-speech functionality into our product. Now it is possible to add voice recognition into our virtual assistants so that your users can speak directly with assistant and get answers without the need to type. This opens up a wide range of possibilities such as: Integrating voice input based virtual assistants on your website directly from the chat window with the push of a button. Utilizing speech based input from your mobile app in customer service. You customers don’t need to type questions and can simply speak to the

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