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Deepgram 2022 Predictions: Companies Will Demand More Sophisticated AI Use Cases

vmblog predictions 2022 

Industry executives and experts share their predictions for 2022.  Read them in this 14th annual VMblog.com series exclusive.

In 2022, Companies Will Demand More Sophisticated AI Use Cases

By Scott Stephenson, CEO and co-founder of Deepgram

The pandemic has placed a huge spotlight on virtual interactions between companies and their customers and employees, making it more important than ever to get maximum value from the resulting data trail. In that large data set, is unstructured speech data, and companies have started to realize just how much information can be unearthed from it. As we head into 2022 - year three of digital-first communications - we will see companies demand more sophisticated, revenue-generating use cases of speech technology that leverage their data, such as real-time solutions. Here are a few of my top predictions for 2022 related to speech technology, reducing bias and consumption of these services.

Concerted Efforts by Vendors to Reduce Bias in Speech Tech

Voice is the most natural form of communication. However, machines have historically been locked out of listening and analyzing conversations. In 2022, machines will be able to do more than just describe which words were said, but how they were said. This will enable users to truly understand what their customers want and empathize with their needs. Reducing bias in speech infrastructure will also be a top priority for vendors so that users of their technology can more accurately understand the voices of various backgrounds, genders, and languages of their customers.

From Compliance to Cash Cow

In 2021, companies utilized automatic speech recognition (ASR) primarily for operational efficiency, compliance and regulatory mandates. Due to the ongoing pandemic, shift to remote work and digital-first experiences, we saw an appetite from companies looking to leverage ASR for more customer-facing use cases that had the power to increase company revenue (e.g., real time analytics use cases).

In 2022, we expect to see more enterprises expanding beyond batch into real-time use cases. Companies will look to AI-powered ASR to gain valuable customer insights in real-time, rather than waiting days or weeks for a less accurate transcription to be available. This will allow them to quickly address valuable feedback and improve company performance-leading to increased revenue and customer satisfaction overall. Furthermore, with AI-powered ASR, enterprises won't have to trade accuracy for speed or lower costs.

Users will opt for best of breed APIs over all-in-one big box solutions

Every business has a unique speaker base of multiple languages, dialects, genders. In 2022, we will see companies expand beyond English-only speech recognition into additional languages, depending on customers' geography. Not only will we see languages expand, but customers will also look to customized solutions that address specific product names and use cases. As a result, builders of voice-enabled experiences will prefer best of breed APIs with robust onboarding tools, as they will make speech recognition easy to implement and customize according to their business goals.

While 2021 was a year of experimenting with the potential of unstructured speech data-2022 will be a year of expansion. Companies now understand the value that speech data can bring to their organizations and want to tap into that information faster. With ongoing advancements in AI and machine learning, extracting knowledge in real-time is entirely possible and will become the status quo in 2022.

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ABOUT THE AUTHOR

Scott Stephenson 

Scott Stephenson is a dark matter physicist turned Deep Learning entrepreneur. He earned a PhD in particle physics from University of Michigan where his research involved building a lab two miles underground to detect dark matter. Scott left his physics post-doc research position to found Deepgram.

Published Monday, January 31, 2022 7:33 AM by David Marshall
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