Voice Recognition is Creating Robots That Understand Your Every Word
EVENTSPERSPECTIVES

Voice Recognition is Creating Robots That Understand Your Every Word

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?

Voice Recognition is Creating Robots That Understand Your Every Word

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.

Featured Speakers:

  • 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

Moderator:

  • 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,


Find out why edge computing is key to a 5G future.


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.

Watch the full panel here >>

How Emerging Technologies are Redefining Our Future

Learn More about the Value of Data

Sources:

  1. IoT market size doubling. https://www.forbes.com/sites/louiscolumbus/2018/08/16/iot-market-predicted-to-double-by-2021-reaching-520b/#3945a4d11f94
  2. The best Amazon Alexa skills. https://www.pcmag.com/article/352136/the-best-amazon-alexa-skills
  3. What is natural language processing? https://www.sas.com/en_us/insights/analytics/what-is-natural-language-processing-nlp.html
FORWARD-LOOKING STATEMENTS:

Certain blog and other posts on this website may contain forward-looking statements, including statements relating to expectations in the market for our products and applications of our products. These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed in the forward-looking statements, including development challenges or delays, changes in markets, demand, global economic conditions and other risks and uncertainties listed in Western Digital Corporation’s most recent quarterly and annual reports filed with the Securities and Exchange Commission, to which your attention is directed. Readers are cautioned not to place undue reliance on these forward-looking statements and we undertake no obligation to update these forward-looking statements to reflect subsequent events or circumstances.

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