Climb the CEO of AI Alexandr Wang doesn't need a crystal ball to see where AI will be used in the future. Just look at his customer list.
The four-year startup, which recently reached a valuation of over $ 3.5 billion, has begun providing autonomous vehicle companies with the labeled data they need to train machine learning models to develop and ultimately commercialize robotaxis, self-driving trucks. and automated robots used in warehouses and deliveries on demand.
The broader adoption of AI across all industries has been a bit slow in recent years as the company's founders and executives began to understand what the technology could do for their businesses.
In 2020, things changed when e-commerce, business automation, government, insurance, real estate and robotics companies turned to Scale's visual data tagging platform to develop and apply artificial intelligence to their businesses. Now, the company is preparing for the customer list to grow and become more diverse.
How 2020 was formed for AI
Scale the AI The customer list included a number of self-driving vehicle companies including Alphabet, Voyage, nuTonomy, Embark, Nuro and Zoox. Even as it started to diversify with additions like Airbnb, DoorDash, and Pinterest, there were still industries that had yet to come on board. The situation changed in 2020, Wang said.
According to Wang, scalability has begun to see incredible use cases of artificial intelligence within government and enterprise automation. Scale AI began working closely with government agencies this year and has added business automation clients like States Title, a residential real estate company.
Wang has also seen an increase in the uses of conversational AI, in both consumer and business applications, as well as growth in ecommerce as companies have looked for ways to use AI to deliver personalized recommendations to their customers who are at the par with Amazon.
Robotics continued to expand into 2020 as well, although it has spread to use cases beyond robotaxis, autonomous delivery, and self-driving trucks, Wang said.
"Many of the innovations that have occurred in the autonomous driving industry, we are starting to see trickle through many other robotics problems," Wang said. "And so it's been super exciting to see the breadth of AI continue to expand and serve our ability to support all of these use cases."
The broader adoption of AI across all industries has been a bit slow in recent years as the company's founders and executives begin to understand what the technology could do for their businesses, Wang said, adding that advances in Natural Language Text Processing Improved offerings from cloud companies such as AWS, Azure, and Google Cloud and increased 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 this thing that has been launched forever," he said.
That slow burn heated up with the COVID-19 pandemic, Wang said, noting that interest has been particularly strong within government and business automation as these entities sought ways to operate more efficiently.
"There was this big showdown," Wang said of 2020 and the effect COVID-19 has had on traditional commercial enterprises.
If the future is mostly remote with consumers shopping online instead of in person, companies have begun to wonder, "How do we start building for this?" According to Wang.
The drive for operational efficiency coupled with the capabilities of technology will only accelerate the use of artificial intelligence to automate processes such as mortgage applications or customer loans at banks, said Wang, who noted that outside the world There are industries that still rely on a lot of paper and manual processes.
