Within many businesses—even in the technology industry—there’s been euphoria over the opportunities to utilize artificial intelligence (AI) across the spectrum of data processing and analytical processes. The idea that AI can automate individual business processes, generate code, or actually conduct analysis is very exciting. All of these AI ideas always come with a single caveat: data is a required ingredient to train the AI system.
Well, what about using AI to improve all the activities associated with data management? After all, shouldn’t we be able to leverage the advanced capabilities of AI to improve and streamline all the data management activities that have been obstacles for data science, advanced analytics, and even business intelligence delivery?
This presentation will discuss how AI has changed the playbook within the data management domain. We’ll discuss the areas where AI has improved data management, how different tools and methods employ AI technology, and we’ll discuss some of the future trends of AI in the data management domain.
You Will Learn
- Common data management obstacles
- How folks are using AI to streamline data management activities
- Future trends with AI in the data management domain
- Chief data officers
- BI/DW management
- Data management staff
- Business/data analysts
- Data stakeholders