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A massive shift in user behavior has already begun
New APIs launched in 2016 now make it possible to reach over 1.5B users across the world's most popular messaging platforms.
In 2014, voice assistant usage was negligible. Today, voice usage exceeds 15% of all search traffic.
In 2015, Amazon Echo became the fastest-selling bluetooth speaker in history.
Recent AI breakthroughs make human-like language understanding possible for the first time since the dawn of AI.
It must leverage state-of-the-art machine learning techniques to deliver human-like accuracy for any broad vocabulary application.
It must be powered by thousands or millions of training examples which reflect your specific application requirements.
It must employ end-to-end measurement and analytics to ensure optimal performance across the long tail of user interactions.
It must harness ongoing application usage data to ensure that accuracy improves continuously over time.
It must guarantee that the training data and models which power your application always remain your proprietary intellectual property.
You need to build a conversational interface which gets beyond delivering canned responses for a narrow list of commands.
You need to maintain ownership and control of the data and the models which power your application.
You need to not only understand user questions but also provide answers based on a large product catalog, content library or FAQ database.
You are ready to invest in building the data sets and AI technology required to ensure that your application will outperform the competition.
[MindMeld] has the potential to advance natural- language recognition and push the envelope where Google, Microsoft, and Apple have failed so far.
One of the leading companies in this space is Google- and Samsung-backed [MindMeld].
[MindMeld] named by MIT Technology Review as one of the 50 Smartest Companies of 2014.
The next major step forward in the way content and information are delivered to consumers.
[MindMeld is] advanced enough to enable a whole new approach to using speech recognition in the workspace, at home and in the car.
MindMeld is at the forefront of the kind of technology that will surround us everywhere in a few years.
