Cloud computing is the key to the global platforms and apps we all rely on. In this preview, you’ll learn how to turn your passion for the cloud into a career.
Watch Now
Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.
Watch Now
All the stakeholders within the Health and Life Sciences Industry find the need for a complete view of the trends affecting their patients in addition to personal data and history. Healthcare providers, insurers, and agencies even while having different roles in delivering care tend to face many of the same challenges.
Watch Now
As data and analytics environments become increasingly complex, organizations can no longer afford to perform many operations manually. According to TDWI research, automation (in general) is one of the top three priorities for analytics. We see automation occurring throughout the data and analytics life cycle. Automation increasingly leverages embedded AI/ML algorithms (i.e., infused in the software) to help perform tasks such as profiling and cleansing data, identifying sensitive data, data mapping, surfacing insights, or building machine learning models.
Watch Now