Map of Artificial Intelligence in Europe

Map of Artificial Intelligence in Europe
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We feature leading European Artificial Intelligence companies here. In terms of popular AI use cases; Information security, marketing and sales dominate the map. An interesting exception is NeoTek from Russia, they provide a physical security solution, an image recognition system to dedect intruders real time from video camera footage.

In some cases numerous companies exist in one country. In such cases, we selected the company to feature after considering 2 points:

  1. Is AI part of the company’s core business?
  2. How big is the company in terms of funding, number of employees, number of customer references?

Results are based on public information, most data is from companies we are currently featuring on appliedAI.com. You can also see the interactive version on Tableau Public
If you have any suggestions, please share with us so we can improve the map. Read more

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Greatest artificial intelligence websites and apps you can use today

Almost all major websites and business do not use artificial intelligence could be a simpler question. Since AI systems can be defined as learning systems that solve problems which can not be solved perfectly, AI systems are ubiquitous in major enterprises. Here are some mainstream and some quirky examples that are open to public so you can interact with the AI system. If you think we are missing any examples, please add to comments.

Search engines

  • Text search:
    • Google is one of the leading companies in AI and it is impossible to have a competitive search solution today without Natural Language Processing, a sub field of AI. RankBrain is a machine-learning artificial intelligence system that helps Google process some of its search results, in particular rare or one-of-a-kind queries. It was launched in early 2015 and is used globally by Google.
    • Chinese search engine Baidu is also heavily investing in AI employing more than 1300 employees on AI topics like deep learning
    =&1=&Whether it is tagging images or searching images by uploading images, machine vision is required in image search. ViSenze is a vendor providing image search technology, you can see more details here and try their image search here.

    Translators:

    Google Translate was featured extensively by NYT as one of the leaders of the AI awakening Read more

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11 AI Usecases in Customer Service in 2018: In-depth Guide

Top 5 primary customer service activities sorted according to their position in the customer lifecycle

We have identified about a dozen artificial intelligence use cases in customer service and structured these use cases around typical customer service activities. Our framework is by no means comprehensive but it is ever improving so please let us know if you have any comments and suggestions.

Primary customer service activities and AI use cases in these activities are listed below. You can explore more on each topic by clicking its link which will take you to a detailed guide with references:

1- Identify customer issues with social listening and ticketing solutions

Identifying issues wherever they rise is the first step to resolving them. Social listening and ticketing vendors help you to leverage Natural Language Processing and machine vision to identify customers to contact and respond to them automatically or assign them to relevant agents increasing customer satisfaction. Read more

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How we stay on top of Artificial Intelligence news

05/02 UPDATE: Categorized resources

To be the platform connecting AI vendors and enterprises, we need to be on top of new AI vendors and new AI application areas. We track a wealth of resources to achieve that.

News websites:

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AI in Sales: In-depth Guide with Top 12 AI Applications in 2018

Shows sales activities where AI can be used. For each activity AI vendors in that activity are also shown

Sales is hard. Conversion rates are low and sales cycle is longer. Your customers don’t just take out their credit cards to buy things. They need hand-holding and a lot of validation. You need to make calls, meet them in person, answer their concerns and continue to guide them after sales to ensure that you build a healthy relationship with them. Artificial intelligence can make this a bit easier.

As a sales leader, you may be hearing that artificial intelligence will rule the world. You hear giants like Dell and Cisco using AI in sales. You imagine a future where all sales is done by cheap yet effective AI asisstants. We are not there yet essentially because AI is not as mature enough to handle complex conversations and relationship building required in sales. AI today does not aim to replace sales reps but acts as an assistant to Read more

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