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@Voysis Brings #TTS to the Edge for Consumer Devices

@Voysis Brings #TTS to the Edge for Consumer Devices | Language Tech Market News | Scoop.it

Voysis, a Dublin-based startup, has shrunk the processing power required to run cutting-edge “Wavenet” voice generation technology so it can work on a mobile phone or other consumer device even without a connection to the internet. This will make it easier and less expensive to create chatbots and digital assistants with realistic-sounding synthesized human voices.

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Multilingual Chatbots Perform Better Than Monoglot-bots

Multilingual Chatbots Perform Better Than Monoglot-bots | Language Tech Market News | Scoop.it

Introducing a chatbot that speaks only the ten most common languages would open up conversations to over three billion people worldwide. In addition, AI that are taught more than one language perform better at tasks than monolingual bots, and they better learn word context and relationships. Since bots can be trained in multiple classic human languages, they can also be trained to recognize less formal shorthand, internet speak or even typos that might confuse a human agent.

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Five IDC 'Innovators' in Conversational AI Software Platforms

Five IDC 'Innovators' in Conversational AI Software Platforms | Language Tech Market News | Scoop.it

CogniCor uses cognitive knowledge graphs to encode a model of expert knowledge of every domain within a context to create chatbots with a semantic understanding of the context and the ability to respond to complex queries.
Inbenta uses a lexicon, created by its team of computational linguists and search experts and holding hundreds of thousands of relationships with language-specific meanings, to develop conversational interfaces that match user questions with intent.
Kore.ai combines a conversational AI platform with a strong task automation engine to help organizations automate specific B2B process flows using conversational AI to interact with end users and knowledge workers.
Personetics offers a platform that combines state of the art conversational AI capabilities, domain specific machine learning based advisory services, and broad and deep domain knowledge of the consumer banking and finance industries.

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Conversational Commerce Needs Strong Development Teams

Conversational Commerce Needs Strong Development Teams | Language Tech Market News | Scoop.it

Conversational commerce applications now need larger teams and additional resources to build more intelligent communication platforms. Let’s take a look at the areas of specialization expected to grow around conversational design in the coming years.

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Chatbot Industry Outlook to 2025

Chatbot Industry Outlook to 2025 | Language Tech Market News | Scoop.it
Global Chatbot Market Top Players

1. Slack Technologies, Inc.
2. Message.io, Inc.
3. Facebook, Inc.
4. SMART CAPSA, S.R.O.
5. Helpshift
6. Imperson Ltd.
7. Kasisto Inc.
8. Microsoft Corporation
9. Pandorabots, Inc.
10. Astute Solutions
LT-Innovate's insight:

First report noticed for this sector. Not a European among the top players...

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Moscow Teams Win NIPS Conversational Intelligence Challenge

Moscow Teams Win NIPS Conversational Intelligence Challenge | Language Tech Market News | Scoop.it

On Dec. 8 the Conference on Neural Information Processing Systems (NIPS) hosted the finals of Conversational Intelligence Challenge organized with AI research universities. Six teams from the University of Wroclaw, Moscow Institute of Physics and Technology, McGill University, KAIST & AIBrain & Crosscert, UMass Lowell's Text Machine Lab & Trinity College, Hong Kong Polytechnic University, and Fudan University took part in the competition finals. The first prize was awarded to 2 winning teams: Moscow Institute of Physics and Technology team.

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Industry Forecast on 2018 Conversational Tech

Industry Forecast on 2018 Conversational Tech | Language Tech Market News | Scoop.it

Forrester Report: In 2018 conversational computing will be more common: As voice recognition, natural language processing, natural language classification and natural language generation continue to advance, conversational computing will become more popular next year. “Until now, virtual agents that defer human cost have been the killer use case. In 2018, we will see business sponsors, designers, and application developers work together to develop use cases in which voice or chat input create new opportunities for interaction,” according to the organization’s predictions.

LT-Innovate's insight:

Will we adapt to the limited language skills of bots, or will companies learn to expand automated language competence? The answer is.... yes.

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The Threat of Language-Smart Chatbots

The Threat of Language-Smart Chatbots | Language Tech Market News | Scoop.it

Already, some simple preprogrammed bot scripts have been successful at misleading users. As bots learn how to understand context and intent, they become more adept at engaging in conversation without blowing their cover.
In a few years, conversational bots might seek out susceptible users and approach them over private chat channels. They’ll eloquently navigate conversations and analyze a user’s data to deliver customized propaganda. Bots will point people toward extremist viewpoints and counter arguments in a conversational manner.

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Study: Global Chatbot Market to Grow 24.4% in Next 4 Years

Study: Global Chatbot Market to Grow 24.4% in Next 4 Years | Language Tech Market News | Scoop.it

The global chatbot market is forecast to grow by 24.43% over the next four years, with self-service apps driving adoption, according to a report by Research and Markets.
One of the major impediments so far to chatbot growth globally is the lack of awareness and standardization, according to the report. Consumers in emerging markets like Brazil and India are unaware of chatbots and their usefulness, which limits their widespread adoption

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Microsoft Overhauls its Conversational AI Chatbot Tools

Microsoft Overhauls its Conversational AI Chatbot Tools | Language Tech Market News | Scoop.it

Microsoft’s Bot Builder SDK has been updated. It lets you pick a bot design and then create your own bot from this model. Starting today, QnAMaker is now also available as a final release. It lets you turn a good old FAQ into a set of questions and answers for your bot.
The bot emulator has been updated too to make it easier to debug your bots. There’s a new component called Dispatch that lets you dispatch queries to the right model or knowledge base. You can also manage authentication with third-party apps to interact with other apps. This is important for e-commerce websites and on-demand services.

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Chatbots Working Inside Ads from Emirates Vacations 

Chatbots Working Inside Ads from Emirates Vacations  | Language Tech Market News | Scoop.it

Emirates Vacations, the tour-operating arm of Emirates Airlines, is putting an artificial intelligence-powered bot right in its online ads.
In a 30-day test at the end of 2017, Emirates Vacations tracked an 87% increase in engagement from consumers that saw the chatbot ad versus those that saw a standard display ad. Consumers click in the ad to ask trip-planning questions, and the bot responds with recommendations of destinations and packages offered by Emirates Vacations.

LT-Innovate's insight:

Chatbots with everything. Interesting learning experience but think of all  those languages you'll need your bot to master.

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Generating Metrics on Chatbot Usage

Generating Metrics on Chatbot Usage | Language Tech Market News | Scoop.it

What we have learned is that, despite all of the hype about humans being resistant to change, people are open to and enthusiastic about engaging with chatbots. From our analysis of the over 6,000 bots developed using SnatchBot’s technology, only 11.8% abandoned their chat. This is a very strong metric for an emerging technology. On average, it takes 10 hours for a company to respond to a message while a chatbot responds within seconds. On our platform, the average time spent by users in the chat is one minute and 32 seconds while the total number of users reached amounts to around 30 million.

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EU Teams Among Winners of Alexa Prize for AI Conversational Stamina

EU Teams Among Winners of Alexa Prize for AI Conversational Stamina | Language Tech Market News | Scoop.it

The winners of the 2017 Alexa Prize.

 

1st Team Sounding Board, University of Washington, Seattle, WA, USA - with an average score of 3.17 and average duration of 10 minutes and 22 seconds, Team Sounding Board will share the $500,000 prize among the student team members.

 

2nd: Team Alquist, Czech Technical University, Prague, Czech Republic

 

3rd : Team What’s Up Bot, Heriot Watt University, Edinburgh, Scotland, UK

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SAP Gets Into Conversational #AI Apps

SAP Gets Into Conversational #AI Apps | Language Tech Market News | Scoop.it

The SAP Leonardo Conversational AI Foundation – a platform which will enable organizations to build and enhance conversational capabilities like chatbots and digital assistants, across enterprise applications, and allow users to interact with them like they would with their colleagues. Ultimately, the SAP Leonardo Conversational AI Foundation will provide the infrastructure and comprehensive development environment to create software solutions that process and understand natural language, user behavior and situational context. The first services for the foundation will be available soon.

LT-Innovate's insight:

SAP suddenly embracing #NLProc in a big way to boost digital transformation in companies

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