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 2019: 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

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 2019

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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Artificial Intelligence Marketing in 2019: In-depth Guide

Artificial Intelligence use cases in marketing

While launching AIMultiple.com we interviewed corporate leaders and all sizes of AI vendors, searched news articles, patents, venture capital financing and more to identify established and emerging AI use cases. We have identified about a dozen fundamental artificial intelligence use cases in marketing. We focused on core marketing activities such as optimizing pricing and placement, optimizing advertising/marketing, personalizing recommendations, collecting and leveraging customer feedback. We are always improving our structure and would love to hear your any comments and suggestions. Read more

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