The good news: Skilled data scientists are poised to transform the organizations that seek their guidance. The bad news: Siloed data, siloed dev environments, and broken workflows are keeping teams from collaborating and scaling their efforts. Thankfully, there are ways for teams to bridge the gaps.
Key Points:
- Could a single platform unify access to data across sources — whether structured or unstructured, whether on private or public cloud
- How can cloud & distributed frameworks open the doors to collaboration and foster data-driven discovery
- Could an ML platform automatically retrain models when they fall out of specification
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