Welcome to episode 367 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 North America and Europe.
Today's guest is Sid Roy, Machine Learning Engineering Manager at Devron in New York. Founded in 2020, Devron is rethinking the way data science platforms read and share insights across datasets. Sensitive data is often siloed off in private networks, on-premise and in entrenched environments, limiting data scientists in deriving actionable insights for business decisions. Multiple parties often duplicate or lose track of data being shared within and across organizations, often increasing data engineering and cloud costs.
Devron is enabling data scientists to build on top of decentralized data stores. They reduce the clutter and steps required for data engineers and scientists to conduct data science and they obviate the need to centralize and duplicate data. Devron is on the path to build the next-generation data science and machine learning platform to enable decentralized analytics. They foresee a globally distributed data fabric that preserves the privacy of the source data, freeing it to drive innovation and insights and unleashing its untapped value.
In the episode, Sid will discuss:
The mission of Devron’s Federated ML platform
Examples of the customers using Devron’s platform
Building the ML function from the ground up
Transitioning from academia into the startup world
Plans for growth and why to consider a career with Devron
What excites him for the future at Devron
To find out more about all the great work happening at Devron, check out the website www.devron.ai or follow them on LinkedIn and Twitter @devronai. You can also connect with Sid directly on LinkedIn.
What did you think of Sid's podcast? Where do you see the future of AI and Machine Learning in the industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.