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India’s Data Diversity Drives New #LT Products

India’s Data Diversity Drives New #LT Products | Language Tech Market News | Scoop.it

The diversity, scale and capabilities available in the Indian market could be leveraged to make an early mark.
Consider India’s internet subscriber base, which has grown rapidly in recent times to reach close to 500 million subscribers, from 84 million in 2012. India also reportedly consumed 22% of world’s mobile data between April and June 2018, and Indian telcos handle more data traffic than their Chinese and US counterparts, combined, according to the Cellular Operators Association of India. This large and rapidly increasing base of internet users are generating data that can be used to build and fine-tune conversational AI products.

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Roundup of Voice Emotion Analytics Companies

Roundup of Voice Emotion Analytics Companies | Language Tech Market News | Scoop.it

Voice emotion analytics companies can process an audio file containing human speech, extract the paralinguistic features and interpret these as human emotions, then provide an analysis report or other service based on this information.

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State of the Chatbot Economy 2017

State of the Chatbot Economy 2017 | Language Tech Market News | Scoop.it

Chatbots themselves are getting better and more ubiquitous, and the tools for building and analyzing them are becoming more plentiful. So what’s next?
First, bots will need to be interoperable across platforms. You should be able to find the same bots on Facebook, Kik, Alexa, Google Home–any messaging platform you choose–and they should all be able to remember your data across platforms to create a seamless user experience.
Second, we’ll need to find ways to make chatbots more easily accessible. Discoverability is still a major problem in the bot ecosystem that needs to be addressed in order for chatbots to become mainstream and democratized.

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Broadcasters, News & Voice Assistants: The Path to Monetisation

In a session at the GEN Summit 2018, Kourtney Bitterly, lead at The New York Times Research & Development; Raisa Sufian, Business Director at Vayner Media; Mukul Devichand, Executive Editor Voice at the BBC; and David Tomchak, Digital Director at the Evening Standard, discussed how their respective companies are experimenting with voice AI, whether there is an effective way to drive monetisation via this medium, and why you shouldn’t be afraid to enter the market.

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Massive Data Sets are Not a Commodity for AI

Massive Data Sets are Not a Commodity for AI | Language Tech Market News | Scoop.it

There is no open market for training data. I suspect there never will be because many organizations closely guard data as premium among their intellectual property. Let’s stick with our autonomous driving example. Companies in this industry are in a race to get to Level 4 autonomy, where cars drive on their own. It’s not likely the automakers will share their proprietary data in the midst of competition this fierce. Nor will banks, insurance providers, e-commerce merchants, advertisers, or, given the choice, many of us.

LT-Innovate's insight:

Suggests there will not be a digital data marketplace in the near future. But could "language data" as used in translation and speech (AI) applications constitute a special legal case of shareable data? Their value would be in the algorithms and networks, not just in the "real-world content" of the data.

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