Transform 2022: How Intuit is accelerating AI at scale for personalized customer experiences
We're excited to bring Transform 2022 back in person on July 19 and virtually from July 20-28. Join leaders in AI and data for in-depth discussions and exciting networking opportunities. Sign up today!
SAN FRANCISCO - Completing a customer's order form correctly and responding to requests, questions, and comments of all types is hard enough for a business to do on a one-to-one basis. Doing it millions of times a day seems impossible. But that's what thousands of businesses with 24/7 online sales and marketing services do.
The ability to deliver personalized experiences at scale is complicated. Doing this by using unique templates for each client is even more so. However, using artificial intelligence (AI) and machine learning (ML) in the right cases can go a long way in helping companies keep all of their customers happy, Intuit CTO Marianna Tessel told the audience today. today at VentureBeat's Transform 2022 conference here at the Palace Hotel.
Intuit was able to achieve this through accelerated (and sometimes uniquely designed) AI, enabling its IT system to deliver these benefits to customers and small businesses.
Categorizing Data for AI at Scale"One of the things we've been doing a lot lately is helping small businesses categorize their data," Tessel said. "It helps us use what we call 'AI at scale.' AIs in production that are refreshed daily to achieve the level of categorization we need to be effective."
EventTransform 2022
Join us at the leading Applied AI event for enterprise business and technology decision makers on July 19 and virtually July 20-28.
register hereIntuit started with a model years ago and continued to add data to it as more and more people became customers. It involves a lot of careful data that is used to define personalities. "For example, one person (who owns a gas station) may tend to use the term 'petrol' and another station owner may use the term 'fuel' - it's such small differences that make these models different. 'personal AIs that are used in our production,'” Tessel said.
"Each of our small business customers is unique and passionate about what they do; they are all individual snowflakes. They want to call it what they want to call it – they don't want us to force them to a particular way of categorizing,” she said.
Thus, Intuit focuses on the data language of its many customers. That's why so many distinct AI data models are running day and night in its systems.
Why Intuit chose AWSIntuit is an AWS store, allowing the enterprise unlimited scalability of cloud computing.
“AWS allows us to embed the (compute) modules we need when we need them, which works for us,” Tessel said. “At first, we were using our existing tools and servers, but it was becoming prohibitively expensive and the complexity was heavy. We opted for a combination of
We're excited to bring Transform 2022 back in person on July 19 and virtually from July 20-28. Join leaders in AI and data for in-depth discussions and exciting networking opportunities. Sign up today!
SAN FRANCISCO - Completing a customer's order form correctly and responding to requests, questions, and comments of all types is hard enough for a business to do on a one-to-one basis. Doing it millions of times a day seems impossible. But that's what thousands of businesses with 24/7 online sales and marketing services do.
The ability to deliver personalized experiences at scale is complicated. Doing this by using unique templates for each client is even more so. However, using artificial intelligence (AI) and machine learning (ML) in the right cases can go a long way in helping companies keep all of their customers happy, Intuit CTO Marianna Tessel told the audience today. today at VentureBeat's Transform 2022 conference here at the Palace Hotel.
Intuit was able to achieve this through accelerated (and sometimes uniquely designed) AI, enabling its IT system to deliver these benefits to customers and small businesses.
Categorizing Data for AI at Scale"One of the things we've been doing a lot lately is helping small businesses categorize their data," Tessel said. "It helps us use what we call 'AI at scale.' AIs in production that are refreshed daily to achieve the level of categorization we need to be effective."
EventTransform 2022
Join us at the leading Applied AI event for enterprise business and technology decision makers on July 19 and virtually July 20-28.
register hereIntuit started with a model years ago and continued to add data to it as more and more people became customers. It involves a lot of careful data that is used to define personalities. "For example, one person (who owns a gas station) may tend to use the term 'petrol' and another station owner may use the term 'fuel' - it's such small differences that make these models different. 'personal AIs that are used in our production,'” Tessel said.
"Each of our small business customers is unique and passionate about what they do; they are all individual snowflakes. They want to call it what they want to call it – they don't want us to force them to a particular way of categorizing,” she said.
Thus, Intuit focuses on the data language of its many customers. That's why so many distinct AI data models are running day and night in its systems.
Why Intuit chose AWSIntuit is an AWS store, allowing the enterprise unlimited scalability of cloud computing.
“AWS allows us to embed the (compute) modules we need when we need them, which works for us,” Tessel said. “At first, we were using our existing tools and servers, but it was becoming prohibitively expensive and the complexity was heavy. We opted for a combination of
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