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Ryan Kelly is a marketing leader at Domino Data Lab and author of the world’s first-ever children’s book about data science. But he didn’t write this children’s book to encourage the next generation to get passionate about future careers in data science. He also wrote it to inspire a passion for problem-solving.
Ryan believes that our world is full of problems, and our future relies on the passion and willingness of future generations to solve them. He was also tired of trying to describe to his daughter what he did at work. I invited him onto the Tech Talks Daily podcast to learn more about the story behind Florence, the Data Scientist.
Domino Data Lab powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Its Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance to scale data science into a competitive advantage.
The platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or recommend the best purchase to make at the right time.
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Ryan Kelly is a marketing leader at Domino Data Lab and author of the world’s first-ever children’s book about data science. But he didn’t write this children’s book to encourage the next generation to get passionate about future careers in data science. He also wrote it to inspire a passion for problem-solving.
Ryan believes that our world is full of problems, and our future relies on the passion and willingness of future generations to solve them. He was also tired of trying to describe to his daughter what he did at work. I invited him onto the Tech Talks Daily podcast to learn more about the story behind Florence, the Data Scientist.
Domino Data Lab powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Its Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance to scale data science into a competitive advantage.
The platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or recommend the best purchase to make at the right time.
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