Data & Analytics with Bluemix

1. Bluemix
Data & Analytics

3. Data – Classic Relational databases

4. Data – NoSql

5. Data – Open/External Data

6. Big Data & Analytics

7. Data – Ingest / Transformation

8. 8
David McCandless : “Information is Beautiful”
https://www.youtube.com/watch?v=z0p7hqq4IAs
Data is the new Soil and visualization are flowers

9. 9
Analytics – Landscape

10. Analytics – Descriptive
?

11. Analytics – Descriptive

12. Analytics – Descriptive
https://watson.analytics.ibmcloud.comIbm.biz/cognosanalytics.com

13. Analytics – Predictive
?

14. WATSON MACHINE LEARNING

15. 1. Machine Learning made Easy and Understandable
2. Full Machine Learning workflow as a service
3. Automation of the lifecycle
4. Train new Machine Learning Models with your own data: 27 data
connectors and growing
5. APIs for developers to train and score Machine Learning Models
6. Easily create apps powered by Machine Learning in your language of
choice: Java, JavaScript, .Net, Swift, Ruby and more for the web or
Android/iOS
7. Deploy in Batch/Streaming and Real-time
8. Generate billions of predictions in seconds
9. Scale the ML platform in 1-click
10. Collaborate with your team members and Learn from the Community
IBM WATSON MACHINE LEARNING
A new way to do Machine Learning

16. Object Storage Apache Spark Machine Learning
Bluemix Predictive Analytics becomes
IBM Watson Machine Learning
Machine Learning
workflow
services provisioned by default
Stand alone forApp developers
via API

17. Analytics – Prescriptive

18. Analytics – Cognitive

19. WATSON DATA PLATFORM

20. 2
0
Start experiencing the Watson Data Platform
Data Engineer Business AnalystApp Developer Data Scientist
Watson
Analytics
Data Science
Experience
ForgeBluemix
User
Experiences
Data
Professionals
Individual
Services IBM dashDB™IBM Cloudant®
IBM BigInsights®
for
Apache Hadoop
IBM GraphData Connect
Streaming
Analytics
IBM Compose
IBM Analytics
for Apache Spark

21. Watson Data Platform in DSX

22. DATA SCIENCE EXPERIENCE

23. A growing Set of Data Science Tools
http://datascience.ibm.com

24. IBM Data Science Experience
Community Open Source IBM Added Value
Powered by IBM Watson Data Platform
- Find tutorials and datasets
- Connect with other data scientist
- Ask questions
- Read articles and papers
- Fork and share projects
- Code in Scala/Python/R/SQL
- Jupyter Notebooks
- RStudio IDE and Shiny apps
- Apache Spark
- Your favorite libraries
- Modeler UI / Statistics
- Prescriptive Analytics
- Auto-data preparation
- Auto-modeling
- Advanced Visualizations
- Model management and deployment
IBM Data Science Experience provides an environmentthatbrings together everything that a data scientistneeds today.
It includes the most popular Open Source tools and IBM unique value-add functionalities with community and social
features integrated as a first class citizen to make data scientists more successful.
Be a better Data Scientist

26. Built-in learning
to get started or
go the distance
The best of open
source and IBM
value-add to create
state-of-the-art data
products
Community and
social features that
provide meaningful
collaboration
Learn Create Collaborate
Data Science Experience