IBM Data Science Platform is a market leading approach to unifying analytics functions and providing a single platform for all personas along the analytics continuum. Business users, data scientists, data engineers and application developers should all be included in the collaborative process in order to maximise analytics results and put them into action. Data science is a team sport!
IBM Data Science Platform includes multiple points of entry for users. In addition to market leading advanced analytics and deployment capabilities, the platform includes access to popular open source tools such as R, Python, Jupyter notebooks, R Studio, Spark etc.
Insights we discover in the data are important but only come of value if we can use them and deploy analytics into our organization processes. Deployment is one of the biggest hurdles in an organization’s use of advanced analytics. IBM Data Science Platform includes comprehensive deployment capabilities and enables you to take action and automate key business processes.
The workshop will offer you practical view on:
- how different personas can easily collaborate in advanced analytics process to find patterns and insights from the data and maximize analytics results
- how to find insights from your data using your tools of choice – business users friendly graphical user interface, popular open source tools such as R, Python, Spark, Jupyter notebooks or combination of both
- how to deploy your insights in order to bring analytics to action using your platform of choice: on-premise or on-cloud.
Demos and use cases will be from financial sector.