IBM Research @ Insight 2015
links
- Overview
- Insight 2015 Conference
- Insight 2015 - IBM Research's Global Technology Outlook
- Insight 2015 - Content Services
- Insight 2015 - Enabling OpenStack Swift with Spark
- Insight 2015 - Accelerating Machine Learning
- Insight 2015 - Data Centric Security and Privacy
- Insight 2015 - Knowledge Graphs
- Insight 2015 - Cognitive Vision and Interaction with Augmented Reality
- Insight 2015 - Visual Recognition Services
- Insight 2015 - Personalized Learning on Cloud
- Insight 2015 - Customer Behavior Insights at Scale
- Insight 2015 - Cognitive Solutions for IT
- Insight 2015 - Internet of Things
- Insight 2015 - Cognitive Automation of Data Science
- Insight 2015 - IBM Research Demos
IBM Research @ Insight 2015 - Insight 2015 - Cognitive Automation of Data Science
Cognitive Automation of Data Science (CADS)
A Data Scientist typically performs a number of tedious and time-consuming steps to derive insight from a raw data set. The process usually starts with data ingestion, cleaning, and transformation (e.g. outlier removal, missing value imputation), then proceeds to model building, and finally a presentation of predictions that align with the end-users objectives and preferences. It is a long, complex, and sometimes artful process requiring substantial time and effort, especially because of the combinatorial explosion in choices of algorithms (and platforms), their parameters, and their compositions. Tools that can help automate steps in this process have the potential to accelerate the time-to-delivery of useful results, expand the reach of data science to non-experts, and offer a more systematic exploration of the available options. As a step towards this goal we present the IBM.Next cloud service CADS