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Orbital Sidekick uses AI satellites detect gas pipeline leaks

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@nvidia

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07 February 2023 18h06

#NVIDIAInception member @OrbitalSidekick creates technology to spot gas pipeline leaks with satellites to collect hyperspectral imagery from space, using the #NVIDIAJetson edge AI platform to process and analyze data in real time. https://
nvda.ws/3kEcKPQ

Abacus AI: Complete MLOps Platform for End-to-End Solutions

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07 February 2023 16h15

Sounds interesting but don't know where to start? Check out this end-to-end MLOps platform by @abacusai https://
abacus.ai

MLOps Bridges Data Science and IT for Secure AI Deployment

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07 February 2023 16h15

At the end of the day, MLOps practices can help organizations to achieve their AI goals more quickly and efficiently. By fostering collaboration between data science and IT teams, MLOps can help to ensure that AI is deployed in a way that is secure, reliable, and scalable.

MLOps Enables Data Scientists to Focus on Model Development

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07 February 2023 16h15

Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.

MLOps ensures secure reliable scalable model deployment

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07 February 2023 16h15

This improved collaboration between data science and IT also helps to ensure that models are deployed in a way that is secure, reliable, and scalable. For ex, MLOps practices can help to prevent security breaches and ensure that models continue to perform well in production.

MLOps Enables Efficient Collaboration Between Data Scientists IT

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07 February 2023 16h15

One of the key benefits of MLOps is that it enables data scientists and IT professionals to work together more efficiently and effectively. For example, MLOps practices can help to ensure that data scientists have access to the right infrastructure and tools.

MLOps: Bridging the Gap Between Data Science and IT Teams

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07 February 2023 16h15

Do you ever feel like your data science and IT teams are speaking different languages? That's where #MLOps comes in! By standardizing workflows and processes, MLOps can bridge the gap between these two critical teams. (A thread)