upshup, a messaging-focused customer engagement platform, today announced it has raised $100 million in funding from Tiger Global Management, valuing the startup at $1.4 billion. Gupshup says the funds will be put toward its go-to-market, product, and customer acquisition efforts.
Read MorePer Ottosson is CEO of Artificial Solutions, the Sweden-based maker of Teneo software used for building custom chatbots, virtual assistants, and conversational interfaces in over 80 languages. He joined the company in 2020 after a decade in leadership roles at IPSoft and two decades in enterprise software.
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Many startups and companies are scrambling to make use of these powerful new AI tools. Despite the cautions and the hype, the applications of GPT-3 and other NLP are endless and run the gamut of email assistants, language translation, document retrieval, gaming, and dealing with angry customers. In this article, we take a look at five companies that are using NLP for these types of applications.
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Health insurance giant Humana is launching a chatbot powered by IBM Watson’s conversational AI to give personalized assistance to people with health and dental insurance provided by their employer. Humana using the IBM Watson Assistant for Health Benefits marks a major milestone in the growing healthcare AI market, which has accelerated in the wake of the COVID-19 pandemic and the resulting demand on the healthcare industry and its ancillaries.
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The main goal of this article is to help readers understand everything about Chatbots and how they are evolving in the industry. These are the topics that will be specifically covered: The ultimate aim of a Chatbot and Use Cases of Chatbots in various Industries.
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Artificial intelligence is becoming increasingly popular. More and more businesses are adopting AI approaches and implementing use cases that are efficient enough; the global revenue of AI solutions is estimated to reach the mark of 118.6 billion dollars by 2025. Serving customers and businesses with the best experience and services worldwide, AI approaches are rapidly replacing the traditional methods and decreasing the requirement for humans to perform specific redundant tasks.
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In this post, I briefly explained Text Normalization & Machine Translation. What is text normalization? What is machine translation?
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Sure, we can ask Siri or Alexa to answer a question or perform an action for us. But Siri and Alexa can only respond to pre-programmed questions and commands.
They do not really understand what you are saying and you cannot have a real conversation with a personal assistant like you can with another person.
Biometric technology startup ID R&D and chatbot developer SimpleTech have created a voice authentication tool for WhatsApp that businesses can use to better secure financial transactions and other sensitive data. The idea is to enhance WhatsApp as a platform for enterprise with an extra, voice-based security layer.
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Barcelona-based Landbot, a ‘no-code’ chatbot builder, has bagged a $8M Series A led by the Spanish-Israeli VC firm Swanlaab, alongside support from Spain’s innovation-focused public agency, CDTI. Previous investors Nauta Capital, Encomenda and Bankinter also participated in the round. We last chatted to Landbot back in 2018 when it raised a $2.2M seed and had […]
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Ultimate.ai, a virtual customer service agent builder, has closed a $20 million Series A round of funding, led by Omers Ventures with participation from Felicis Ventures and existing investors HV Capital, and Maki.vc — bringing its total raised to date to $25M+.
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The Trevor Project, a nonprofit organization focused on ending suicide among LGBTQ+ youth, is using artificial intelligence to better meet its mission. Over the past couple of years, the organization has used natural language processing (NLP) to expedite and improve its volunteer training and to triage incoming calls. The group’s AI team has dealt with common language issues in unique ways and is currently working to significantly expand its volunteer training capabilities and offer its services to more youth around the world.
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We present a Reinforcement Learning (RL) based approach to implement Recommender Systems. The results are based on a real-life Wellness app that is able to provide personalized health/ activity related content to users in an interactive fashion. Unfortunately, current recommender systems are unable to adapt to continuously evolving features. To overcome this, we propose three constructs, which we believe are essential for RL to be used in Recommender Systems.
Read MoreAnalyzing this “Algorithm Commons” reveals that the United States has been the largest contributor to algorithm progress, with universities and large private labs (e.g., IBM) leading the way, but that U.S. leadership has faded in recent decades.
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If you want to build chatbots but didn’t know where to start? I think joining an online course is a good idea, and if you are looking for some online courses, then you will find some good ones here, but before that, let’s talk about chatbots.
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A study by IBM released this week highlights the rapid uptake of AI chatbots in addition to increasing customer satisfaction. Most of us are hardwired to hate not speaking directly to a human when we have a problem—following years of irritating voicemail systems. However, perhaps the only thing worse is being on hold for an…
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A lot has been said about chatbots and their effects on practically every industry. The field of HR is going through a major revamp with the use of artificial intelligence. Employees are recruited, onboarded, and even terminated with these little bots.
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Data is now the driving force of the world’s modern economies. It fuels innovation in businesses large and small and has been a lifeline during the pandemic. The UK National Data Strategy aims to build on the manifesto pledge to improve data use for everyone.
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Coming from my active watch on the conversational assistant market, I give you some statistics and information on the almost 550 solutions I studied. As a conclusion, I will give you my view about the future.
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Artificial intelligence has positively contributed to digital marketing. A product needs to be marketed so that it can reap profits in the market. However, the marketing capability of a human is limited. This is where artificial intelligence comes in.
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