AI in Action E527: Daniel Feller, AI Program Lead at Rhino Health

,  | August 12 2024 | JP Valentine

Welcome to episode 527 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 Daniel Feller, AI Program Lead at Rhino Health. Founded in 2021, Rhino Health are activating the World’s Health Data with Federated Computing, and streamlining end-to-end healthcare research and AI development. They transform healthcare AI by integrating Edge Computing and Federated Learning into a cohesive Federated Computing strategy. This innovative approach provides AI developers with swift and secure access to healthcare data, dramatically reducing setup times from months to days and ensuring data privacy across global networks.

Federated Computing allows working with data across multiple sites while keeping that data at rest behind each site’s firewall. This technique enables multiple entities to contribute to AI model training without disclosing raw data, safeguarding the privacy of each dataset. Rhino’s Federated Computing strategy ensures data integrity and compliance while minimizing latency and maximizing efficiency, making it an essential tool for advancing global healthcare solutions.

In this episode, Daniel talks about:

His background and journey to Rhino Health

How Rhino Health uses federated learning to preserve data privacy

Use cases of supporting research for breast cancer and CT scans

Deploying models with Docker to ensure data control and collaboration

How Federated Computing aids fraud detection & drug discovery by ensuring data control

Prioritizing engineers for an agile, market-responsive federated learning infrastructure

How Rhino enhances federated computing for data privacy & governance

To find out more about all the great work happening at Rhino Health, check out the website www.rhinohealth.com or follow them on LinkedIn and X @rhinohealth1. You can also connect with Daniel directly on LinkedIn.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: 

     

Welcome to episode 527 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 Daniel Feller, AI Program Lead at Rhino Health. Founded in 2021, Rhino Health are activating the World’s Health Data with Federated Computing, and streamlining end-to-end healthcare research and AI development. They transform healthcare AI by integrating Edge Computing and Federated Learning into a cohesive Federated Computing strategy. This innovative approach provides AI developers with swift and secure access to healthcare data, dramatically reducing setup times from months to days and ensuring data privacy across global networks.

Federated Computing allows working with data across multiple sites while keeping that data at rest behind each site’s firewall. This technique enables multiple entities to contribute to AI model training without disclosing raw data, safeguarding the privacy of each dataset. Rhino’s Federated Computing strategy ensures data integrity and compliance while minimizing latency and maximizing efficiency, making it an essential tool for advancing global healthcare solutions.

In this episode, Daniel talks about:

His background and journey to Rhino Health

How Rhino Health uses federated learning to preserve data privacy

Use cases of supporting research for breast cancer and CT scans

Deploying models with Docker to ensure data control and collaboration

How Federated Computing aids fraud detection & drug discovery by ensuring data control

Prioritizing engineers for an agile, market-responsive federated learning infrastructure

How Rhino enhances federated computing for data privacy & governance

To find out more about all the great work happening at Rhino Health, check out the website www.rhinohealth.com or follow them on LinkedIn and X @rhinohealth1. You can also connect with Daniel directly on LinkedIn.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: 

     

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