Ten Tangible Ways Data Virtualization Fuels AI/ML
Blog: The Tibco Blog
I was recently asked to speak about Artificial Intelligence and Machine Learning (AI/ML) in the AI and Machine Learning Theatre during the October 2018 Big Data World Singapore event.
I was excited about the opportunity as well as the intellectual challenge of speaking about this dynamic subject area. While I have written a lot about AI/ML, for example in Why Artificial Intelligence Dominates 2018 Technology Predictions and Five Steps to Jumpstart Your AI Success, I don’t consider myself an AI/ML expert. However, as co-author of the first book on Data Virtualization, I am considered by many to be somewhat of an authority on data integration. So in my talk, Best Practices for Delivering the Data That Fuels AI/ML, I decided to bridge these key subject matters by showing how data virtualization can help accelerate AI/ML success.
Bridging AI/ML and Data Virtualization
I thought it was important to make this bridge. Why? It is pretty simple. From a business value point of view, organizations value AI/ML because they understand how it can enable innovative new products, compelling customer experiences, and optimized operations and digitally transform businesses. To make it work successfully, however, requires data. Your AI/ML algorithms are only as good as the data that fuels them. And in today’s complex data landscape, data can be a big bottleneck.
I thought the audience would enjoy learning about how data virtualization could help address this AI/ML data bottleneck. And it turns out, based on the standing room only crowd and the hour I spent afterward answering questions, that I was right.
Ten Tangible Ways Data Virtualization Fuels AI/ML
While I cannot share the content of this entire presentation in this short blog, l can give you the highlights. In particular, let me share the following ten tangible ways that TIBCO® Data Virtualization can help you overcome you’re AI/ML challenges and fuel your AI/ML-driven digital transformation.
- Business Directory makes AI/ML data easier to find
- Data Abstraction makes AI/ML data easier to understand
- Standard Data Delivery Interfaces support heterogeneous AI/ML solutions
- 100+ adapters broaden AI/ML data access
- Data Federation provides the complete picture
- Query Optimization ensures timely data delivery
- Quality Ensures high-integrity, trusted data
- Integrated security controls AI/ML data access
- Studio Accelerates AI/ML dataset development and time-to-solution
- Scalability supports multiple lines of business, hundreds of AI/ML applications, and thousands of AI/ML users
If you are developing new AI/ML solutions and are challenged getting the data you need to fuel them, you can learn more about TIBCO’s Data Virtualization offerings here.
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