Data mobility and cloud services are going to be essential in 2021. Also, understanding unstructured Data Management can be crucial.
What are other upcoming trends in data science that will affect business strategies?
The evolution of big data compute platforms - from on-premises clusters to serverless data pipelines using microservices.
How modern unified data architecture could look like?
Selecting tools that promote good data quality (data quality monitoring systems) from the first principles - even small data quality issues can indicate broken business processes.
Building high performing data science teams. And how to test a new data scientist candidate?
Why is it so hard to build products based on data science and machine learning?
7 MLOps smells that might indicate deeper problems.
And why we should stop using the black-box metaphor in machine learning?
No comments:
Post a Comment