Virtual assistants powered by artificial intelligence are already enabling people to listen to curated music playlists, order products, automate smart homes, and more.
So, what will the next generation of voice recognition applications that understand conversation be able to do?
At Bloomberg’s Value of Data conference, sponsored by Western Digital and hosted in New York, Amazon and two other industry leaders in consumer IoT highlighted how voice recognition and wearables are automating daily tasks and helping people focus on their health.
- Rohit Prasad, VP and Head Scientist at Amazon Alexa
- Shelten Yuen, VP of Research at Fitbit
- Dennis Mortensen, CEO and Co-Founder at x.ai
- Julie Verhage, Technology Reporter at Bloomberg News
Voice Recognition through Conversational Artificial Intelligence
While the IoT market is projected to reach $520 billion USD in 20211, the user experience can be described as mostly one-sided. Just consider this comprehensive list of commands2 that can be told to a leading smart home device. For example, a user instructs the machine to take some “action” by saying a rigid statement such as, “Play 90’s music” or asking a simple question such as, “What’s the weather like today?” Doing so provides a quick way to automate routine tasks in our daily lives at work or in the office.
But, people don’t always talk in commands to each other. We use similies, metaphors, jargon, and other nuances in our conversations. That’s why helping machines understand, interpret and manipulate the complexities of human language—a field called natural language processing3—is seeing heavy research and development from startups to some of the world’s largest technology companies.
Rohit Prasad, VP and Head Data Scientist at Amazon Alexa, talks about the use of unsupervised learning in virtual assistants to understand the complexities of human language,
Consumer IoT, 10 Years from Now
According to industry estimates, there could be as many as 100 billion IoT devices4 in operation by the year 2030. That’s nearly 13 times the population of the entire Earth5! As the adoption rate for connected devices continues to grow, this means new opportunities to improve human health. One example is the use of machine learning to track and predict the onset of health conditions. Shelton Yuen, VP of Research at Fitbit, discusses in the panel,
With more IoT devices coming online and AI-powered, virtual assistants better understanding human conversation, the day where people’s daily tasks are fully automated might come sooner than expected.
Learn More about the Value of Data
- How Driverless Cars are Addressing Reliability Concerns
- Where is Augmented Reality Being Used Today?
- Augmented Intelligence Turns Everyone into a Data Scientist
- IoT market size doubling. https://www.forbes.com/sites/louiscolumbus/2018/08/16/iot-market-predicted-to-double-by-2021-reaching-520b/#3945a4d11f94
- The best Amazon Alexa skills. https://www.pcmag.com/article/352136/the-best-amazon-alexa-skills
- What is natural language processing? https://www.sas.com/en_us/insights/analytics/what-is-natural-language-processing-nlp.html
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