| Top 5 tech skills data scientists need, and how to learn them Data science job candidates can boost their resumes by honing these skills through these free or low-cost resources, according to Indeed Prime. | In the age of machine learning and AI in the cloud, everyone wants to do more with their data. With over 70% of enterprises using three or more clouds, it is important to understand the implications of where your data is stored and how it is managed. Leveraging a common database engine -- across clouds -- allows you to focus your efforts on your applications and not on idiosyncrasies of individual cloud databases.
Join us for a live webinar, The Data Layer: IBMs Db2 in a Multi-Cloud World, where IBM software architect Bowen Turetzky will discuss: - What multi-cloud means for your data; multi-cloud by design vs multi-cloud by accident; and what a multi-cloud data layer looks like
- The four key advantages of choosing IBMs Db2 managed services for a multi-cloud data layer solution
- How to leverage a common data layer across cloud providers with common tools
Register for this exclusive webinar today! |
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Special report: Managing AI and ML in the enterprise (free PDF) CXOs are grappling with the challenges of managing AI and ML deployments and determining what benefits they can deliver to the business. This ebook offers an in-depth look at how the enterprise is approaching the complexities and possibilities of artificial intelligence and machine learning. Today's recommended downloads |
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