This was a SAP webcast yesterday
Usual disclaimer – anything in the future is subject to change.
SAP Data Intelligence was announced at SAPPHIRENOW last month
Full release later this year
Product available later this summer
SAP Data Intelligence is a cloud solution, focusing on 3 things shown above
Taking AI projects, scale to production
Extract value from distributed data (a data hub capability)
Embrace open technology – not a pure SAP technology, agnostic to infrastructure it runs on
Extract data out of enterprise systems, data scientist do algorithms, lift and shifting what need, plugging into systems
Work with tools you know – JupyterLab is embedded, popular tool
Machine learning assets are a part of this
Scale up and down as need, increase/decrease as needed, runs on Kubernetes, serverless computing
Taking Leonardo ML and embed that in Data Intelligence
Discover, connect data, any type of data, data cataloging, refine, reuse, cleanse, self data preparation, apply machine learning on it, govern it, and comply
Orchestrate – leave data where it is, get data, refine, correlate, place data where it needs to go
Run on open source engines – R, Python, TensorFlow, container, serverless architecture
Data scientist can bring in their own models
Foundation for AI assembly line – connect to many types of data, learn without programming, scale across the enterprise, govern it, how applications consume this
Primary use case is data science, and other use cases, supported by metadata catalog and governance; same use cases as Data Hub, taking Data Intelligence to extend Data Hub
Leonardo ML, put this into Data Intelligence, Juptyer Notebooks embedded, operationalize machine learning, check on how performing.
Where SAP is heading
Data Hub can be deployed on premise – focus on complex data pipeline; can bring in machine learning artifacts, execute R and Python
Data Intelligence – taken Data Hub capabilities, Jupyter notebook design, available in SAP Cloud Platform
What will happen soon – feature hub parity between products
Data Hub – on premise
Data Intelligence – cloud
You choose what you want
Rewatch for demo at about minute 13-14.
What do you think?