Alexander Wang, CEO of Scale AI Predicts Largest Emerging Use Cases
CEO of Scale AI Alexander Wang does not need a crystal ball to see where artificial intelligence will be used in the future. He just looks at his customer list.
Four year old startup, which has recently hit a valuation More than $ 3.5 billion, With its introduction to developing machine learning models to supply machine learning models to autonomous vehicle companies and ultimately to automated bots used in robotaxis, self-driving trucks and warehouses, and items needed for on-demand delivery Hui.
The widespread adoption of AI across industries has been a bit slow over the past several years as company founders and executives begin to understand what technology can do for their businesses.
In 2020, which transformed into e-commerce, enterprise automation, government, insurance, real estate and robotics companies, turned into a scale’s visual data labeling platform to develop and implement artificial intelligence for their respective businesses. . Now, the company is preparing to develop a customer list and become more diverse.
How the 2020 AI was shaped
Scale ai The customer list includes an array of autonomous vehicle companies including Alphabet, Travel, nuTonomy, Embark, Nuro and Zoox. While it began to diversify with additions such as Airbnb, DoorDash and Pinterest, there were still sectors that were yet to jump across the board. Wang said that changed in 2020.
According to Wang, Scale began to see incredible use cases of AI within the government, as well as enterprise automation. Scale AI began working more closely with government agencies this year and added enterprise automation clients such as States Title, a residential real estate company.
Wang also saw an increase in the use of conversational AI in both consumer and enterprise applications, as well as developments in e-commerce, as companies sought ways to use AI for their customers that were on par with Amazon .
Wang said robotics continued to expand in 2020 as well, although it expanded to use cases beyond robotaxis, autonomous delivery and self-driving trucks.
“With a lot of innovation that has taken place within the self-driving industry, we’re starting to find out about a lot of other robotics problems,” Wang said. “And so it is super exciting that AI continues to broaden our ability to see the breadth and support all these use cases.”
Wang said that while the company’s founders and executives have been slow enough to understand the founders and executives of the industry over the years, what technology can do for their business, Wang said the natural language of the text Improvements in offerings from cloud companies such as AWS, Azure and Google Cloud, along with advances in processing and greater access to datasets, helped to keep up with this trend.
“We’re finally getting to the point where we can help with computational AI, which is the thing that’s been pitched forever,” he said.
The COVID-19 epidemic has been a slow burn, Wang said, noting that interest within government and enterprise automation has been particularly strong as these entities were looking for ways to operate more efficiently.
“It was a big deal,” Wang said of the 2020 impact on traditional business enterprises and the impact on 2020.
If the future is more remote with consumers shopping online rather than in-person, companies start asking, “How do we start building that according to Wang ?,”.
The push for operational efficiencies coupled with technology capabilities is only going to accelerate the use of AI such as the process of automating mortgage applications or customer loans in banks, said Wang, who noted that the technology world Outside there are still industries that rely on a lot of paper and manual processes.