Emergn ML Lab: Recent Episodes
Aldis Erglis
In this episode, we are talking about how COVID showed us that ML models could be fragile.
In this episode, we are discussing published thought paper created under the SAP and Emergn co-innovation program (https://www.emergn.com/thought-papers/taking-a-smarter-approach-to-notifications-through-ml-and-ai/). We are talking about paper content and even more.
Episode contents:
- What is the nature of notifications
- What is the role of developer
- Centralized notification management
- Future of notifications
On this episode we are talking about the following topics:
- Our experience with ONA
- Interesting use-cases
- How ONA can help with remote work
- ONA for HR and onboarding
- What is the future of ONA
What to experience ONA tool yourself, come to our individual virtual showcase:
https://www.emergn.com/ml-showcase/
In this episode, we are discussing what we learned about Machine Learning and it impacts on Business Intelligence doing ML experiments for two years.
On this Episode of Emergn ML Lab, we are talking with Phil Misseldine about what is the value of experimentation.
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Is experimentation the right way to create better software or business processes?
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Why experimentation is important for ML field?
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What is the role of big companies like SAP and smaller like Emergn in building innovations with ML?