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EVENT DETAILS |
Organizations around the world are starting to realize the true value of AI & machine learning. From using ML to improve efficiencies in oil & gas, to hyper-personalizing product recommendations & accurately diagnosing diseases - machine learning has revolutionized the way we consume & leverage data.
Whether you're managing a data science team today, preparing to launch one or plan to do so in the future, you need to understand a few important things:
Data science is unlike software engineering. It draws a closer resemblance to running a chemistry lab experiment than writing deterministic logic.
It is an expensive endeavor, that only delivers the expected ROI if you are fully prepared.
That said - how do you build a high-performance lab that will generate impactful ROI? What does the future of machine learning development look like? How can you streamline data science operations spanning 3, 5 or 100's of data scientists? How do you save on expensive GPU infrastructure costs? How do you monitor & maintain models in production so your models don't disrupt your business due to bad data?
In this talk, we will share the lessons we have learned working with some of the best data science teams in the world & how you can build/shape your data science team by giving them access to the right tools.
Agenda:
6:30 PM - VIP Guest Arrival + Networking
7:00 PM - Presentation & Q+A
7:30 PM - Networking
8:00 PM - Closing Remarks
Speaker:
Mohammed Ridwanul, Product Lead @ Dessa
Host:
George Wang, Strategic Partnerships @ Dessa
Special thanks to our friends at APAX Digital for sharing their beautiful space for this event!
If you would like to test drive our platform before this event, we invite you to try our free self-serve demos here:
Atlas: To scale ML development & Put models into production faster.
Orbit: To manage ML models after production to ensure models continue generating value.
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