AI in Action E289: Jim Rebesco, Co-Founder and CEO at Striveworks
AI in Action, Podcast | December 6 2021 | JP Valentine
Welcome to episode 289 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today’s guest is Jim Rebesco, Co-Founder and CEO at Striveworks in Austin, Texas. Data and analytics are transforming the way the world works. Data analytics always rests on the assumption that “yesterday,” when we collect the data and train model looks the same as “tomorrow,” when we take that model and use it in the real world.
Striveworks’ customers live in dynamic, adaptive, challenging environments where tomorrow often looks very different from yesterday. Striveworks’ MLOps platform lets teams of data scientists, software engineers and subject matter experts drive outcomes in operationally relevant timelines.
In the episode, Jim talks about:
The interesting work they do in managing MLOps
Problems they are solving for customers
Challenges the team need to overcome to achieve success
An insight into the data science team
How they attract talent to Striveworks
What the future looks like
Skills he looks for when hiring into the team
To find out more about Jim and the interesting work they do at Striveworks, check out the website www.striveworks.us or follow them on Linkedin and Twitter @Striveworks_US. You can also connect with Jim on Linkedin.
What did you think of Jim’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from The Alldus Podcast then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
Welcome to episode 289 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today’s guest is Jim Rebesco, Co-Founder and CEO at Striveworks in Austin, Texas. Data and analytics are transforming the way the world works. Data analytics always rests on the assumption that “yesterday,” when we collect the data and train model looks the same as “tomorrow,” when we take that model and use it in the real world.
Striveworks’ customers live in dynamic, adaptive, challenging environments where tomorrow often looks very different from yesterday. Striveworks’ MLOps platform lets teams of data scientists, software engineers and subject matter experts drive outcomes in operationally relevant timelines.
In the episode, Jim talks about:
The interesting work they do in managing MLOps
Problems they are solving for customers
Challenges the team need to overcome to achieve success
An insight into the data science team
How they attract talent to Striveworks
What the future looks like
Skills he looks for when hiring into the team
To find out more about Jim and the interesting work they do at Striveworks, check out the website www.striveworks.us or follow them on Linkedin and Twitter @Striveworks_US. You can also connect with Jim on Linkedin.
What did you think of Jim’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from The Alldus Podcast then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
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