Chatbots News Wednesday, March 21 Artificial intelligence, Ai, User & more…


Chatbots News TLDR / Table of Contents

  • 7 Artificial Intelligence Trends that will Rule 2018
    • Artificial Intelligence (AI) remained the driving force of various industries in 2017. With so many tech giants and startups already delving into the AI ecosystem, it is expected to grow with better…
    • Artificial Intelligence, AI, , ,
  • Write once, chat anywhere: the easy way to create chatbots with Drupal
    • We’re an award winning London based digital agency that loves ideas, design and technology. We aim to make people’s lives better, easier, fairer, more interesting or fun with great strategy, engaging campaigns and rock solid technology.
    • user, Chatbot API, personal assistants, NLP engine, conversational experiences
  • Using AI to enhance customer experience
    • Artificial intelligence (AI) has already become an everyday part of our lives. We use it at work and at home – often without even realizing it. AI is evolving now in all industries especially in the banking sector, 2018 will showcase many projects and applications that are adopting AI to…
    • AI, banking sector, fraud management, multiple AI technologies, data sources

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7 Artificial Intelligence Trends that will Rule 2018

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  • AI Integration with Web and Mobile Apps – Over the next few years every app, application and service will incorporate AI at some level.Gartner (Click to Tweet) – Artificial Intelligence (AI) is anticipated to be on the quiet in most of the web and mobile applications.
  • AI will back Medical of the various industries that are disrupted by Artificial Intelligence is Healthcare.
  • Making the most of AI applications like cognitive learning, big data management, deep learning, healthcare industry is pulling off a number of diagnosis, treatment, and research processes.
  • Big brands like IBM (Watson, Medical Seive), Google (Deepmind Health), Atomwise (Drug discovery with AI) are heavily investing in Artificial Intelligence to put forth the finest healthcare solutions.
  • AI has caused disruption in almost every industry and with this massive technology growing steadily, the following year could see some better use cases and innovations.

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Write once, chat anywhere: the easy way to create chatbots with Drupal

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  • Conversational interfaces promise a more natural way for users to interact with your organisations content, but without the need for humans on the other end.
  • In our example with the faulty boiler, the user probably needs a repair appointment, but before the bot can book that appointment for them it might need to understand what kind of property the user lives in, their address, how urgent the request is, an account number, time of day…
  • The NLP engine might be able to extract some of this data from the users account, if theyre signed in, or from other sources (e.g. time of year, availability of repair crews) or it might need to ask follow up questions.
  • We can think of the NLP engine as the brains behind the conversational experience, while the chatbot is the face, which actually interacts with the user.
  • From behind the scenes then, the conversation is three-way: the user, asking the question; the NLP which understands the query and translates it into machine-friendly language; and the chatbot/assistant, which performs the required logic (sending an email, providing a link, booking an appointment etc).

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Using AI to enhance customer experience

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  • The banking sector has realized that it has to adopt AI into its processes and applications as fast as possible as the outcome of this technology will enrich the customer experience in many areas; it will also increase customer confidence and engagement, which will enable banks to know their customers…
  • AI can be implemented the following areas: – a) Fraud management – b) Anti-money laundering – c) Chatbots – d) Investment research – e) A personalized banking experience – f) Credit scoring – g) Trading assistance – h) Blockchain – i) KYC – Today for example, many banks have implemented…
  • Its expected that in the year 2018, many banks and fintechs will start doing PoCs in blockchain technology which will give AI more time to be able to benefit from the data collected from blockchain networks and nodes until these applications become mature.
  • Meanwhile these applications can be built, controlled and monitored by AI – Banks can deliver personalized offers and products for customers therefore providing them with the best experience using AI; this can be achieved based on the amount of data collected, which is why big data is a very critical…
  • The whole world is connected to each other, and governments are seeking to create a centric profile for citizens which includes payments, transfers, personal data …etc., Banks can benefit from this huge amount of trusted data and other data sources like social media and data warehouse applications, which can be…

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