This summer, my Amalgam Insights colleague Hyoun Park and I will be teaming up to address that question. When it comes to data science platforms, there’s no such thing as “one size fits all.” We are writing this landscape because understanding the processes of scaling data science beyond individual experiments and integrating it into your business is difficult. By breaking down the key characteristics of the data science platform market, this landscape will help potential buyers choose the appropriate platform for your organizational needs. We will examine the following questions that serve as key differentiators to determine appropriate data science...
What Data Science Platform Suits Your Organization’s Needs?
- Tags:
- Alteryx
- Anaconda
- Cloudera
- data science
- data science platforms
- Databricks
- Dataiku
- Domino
- H20.ai
- IBM
- KNIME
- Mathworks
- oracle
- RapidMiner
- SAP
- SAS Viya
- Teradata
- TIBCO
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