Scale AI CEO Alexandr Wang predicts biggest emerging use cases
CEO of Scale AI Alexandr Wang doesn’t need a crystal ball to see where artificial intelligence will be used in the future. He’s just looking at his client list.
The four-year-old startup, which recently reached a valuation of over $ 3.5 billion, has begun providing autonomous vehicle companies with the labeled data needed to train machine learning models to develop and eventually to market robotaxis, autonomous trucks and automated robots. used in warehouses and delivery on demand.
The wider adoption of AI across all industries has been a bit slow over the past few years as company founders and executives begin to understand what technology could do for their businesses.
In 2020, that changed when companies in e-commerce, business automation, government, insurance, real estate, and robotics turned to Scale’s visual data labeling platform for develop and apply artificial intelligence to their respective activities. Today, the company is preparing to grow its client list and diversify.
How 2020 shaped AI
AI scale The customer list includes a range of autonomous vehicle companies including Alphabet, Voyage, nuTonomy, Embark, Nuro and Zoox. As it began to branch out with additions like Airbnb, DoorDash, and Pinterest, there were still sectors that had yet to join the group. That changed in 2020, Wang said.
Scale has started to see incredible use cases for AI in government as well as business automation, according to Wang. Scale AI began working more closely with government agencies this year and has added business automation clients such as States Title, a residential real estate company.
Wang has also seen an increase in uses of conversational AI, in consumer and enterprise applications, as well as a growth in e-commerce, with companies looking for ways to use AI to deliver personalized recommendations to consumers. their customers, on par with Amazon.
Robotics also continued to expand in 2020, although it has expanded to use cases beyond robotics, autonomous delivery and autonomous trucks, Wang said.
“A lot of the innovations that have happened in the autonomous driving industry, we’re starting to see trickle downs in many other robotics issues,” Wang said. “So it’s very exciting to see the scope of AI continue to expand and serve our ability to support all of these use cases.”
The wider adoption of AI across industries has been a bit slow in recent years, as the founders and executives of the company begin to understand what the technology could do for their businesses, said Wang, adding that advancements in natural language word processing, improved offerings from cloud companies like AWS, Azure, and Google Cloud and better access to datasets have helped support this trend.
“We’re finally getting to the point where we can help with computational AI, which has been around forever,” he said.
This slow burn has intensified with the COVID-19 pandemic, Wang said, noting that interest was especially strong in government and business automation as these entities sought ways to operate more efficiently.
“There was this big toll,” Wang said of 2020 and the effect of COVID-19 on traditional business enterprises.
While the future is largely distant, with consumers buying online rather than in person, businesses have started to ask, “How can we start building for this?” Wang said.
The push for operational efficiency coupled with the capabilities of technology will only accelerate the use of AI to automate processes such as mortgage applications or customer loans at banks, Wang said, who noted that outside of the tech world, there are industries that still depend on it. on a lot of paper and manual processes.