Oracle Cloud World 24: 5 Key Takeaways
- Journey still has it. Oracle really put together a great Party this year. All their greatest hits plus a 5 minute guitar "improv" from Neal Schon (not sure exactly what it was but it required a special white guitar).
- We are now in the age of Data Intelligence. Oracle has built out a large suite of Data Management, Integration, Analytics and AI services over the years. However, it wasn't clear how all of these components fit together. Oracle has a new strategy by combining all these related technologies into a single package of solutions called Oracle Data Intelligence:
- Data Management Platforms: Including OCI Data Integration, Autonomous Data Warehouse, Data Lakes, Data Catalog.
- AI & ML Platforms: Including Gen AI, Vision, Document Understanding, OCI Data Science, ADW Machine Learning.
- Analytics: Including Oracle Analytics Cloud with its full suite of reporting, data visualization, ad-hoc, and augmented analytics capabilities.
- Fusion Data Intelligence has company. Oracle has introduced Data Intelligence Apps across its Fusion, NetSuite, Industry and Health & Life Sciences application suites. It even natively supports Salesforce now. Customers can purchase these pre-built analytics suites across ERP, SCM, CX and HCM. In addition, industry focused analytics solutions for areas like Energy & Utilities and Healthcare are available.
- Data Lakes are now intelligent too. Oracle made a major product announcement after their Data Intelligence introduction. The Oracle Intelligent Data Lake is a platform that allows your data consumers to easily get data where and how they want it. Intelligent Data Lake data assets can exist in applications (e.g. Fusion), third-party cloud data lakes (e.g. S3), IoT, cloud databases and more. Tools such as Spark preclude you from having to move the data and allow your data consumers to access data directly through the Intelligent Data Lake. I will have much more to come on all the various aspects of the technology, but it is an extremely comprehensive platform that will enable customers to leverage their data in more powerful ways than they do today. It is step one in terms of building out a comprehensive modern data intelligence platform and is necessary to do any sort of advanced analytics and AI workloads.
- Gen AI built in. I can spend hundreds of hours talking to users about their requirements, but the minute we turn the system on, one more requirement will come in. Then a minute later 5 more will. Many of these reports are really not much more than data requests, a different way of slicing the data than what we created. Well, Oracle has solved that problem with the Oracle Analytics AI Assistant. It uses Gen AI to respond to questions the user has about their data. The results of these chats can be placed into a dashboard for future reuse. See this for more information.
- FDI has gotten Real (Time). Oracle has added Real Time Subject Areas into the roadmap. It will allow both FDI Subject Areas and OTBI Subject Areas to be available to use in one Canvas in Data Visualization. Not to mention you can use all the modern features of the OAC platform with the Real Time Subject areas. This will make OTBI all but obsolete given the superior user experience of the OAC platform.
