Published: 21 January 2020
Summary
With many products offering data science and AI capabilities, it’s challenging to identify the right tools to support analytic initiatives. This document helps data and analytics technical professionals decide which features to consider to expand their analytic capabilities.
Included in Full Research
- Demystifying Data Science Lab and AI Hub Capabilities
- Criteria for Comparison
- Analytics Domains and Capabilities
- The Impact of Data Science and AI on Business Analytics
- There’s an Overwhelming Diversity of Product and Delivery Options
- Data Science Laboratory
- The Future of the Data Science Lab
- autoML
- Deep Neural Networks
- Machine Learning
- Optimization
- Predictive and Prescriptive Analytics
- Text Analytics
- AI Hub
- The Future of the AI Hub
- Conversational User Interfaces
- Image and Video Analytics
- Knowledge Graphs
- NLP and NLQ
- Leverage a Robust DSML Platform to Support Data Science Lab Capabilities
- Deliver Most Value With Search-Based Analytics Using NLP Techniques and Knowledge Graphs
- Augment DS Lab and AI Hub Capabilities Within Business Analytics Using APIs