Cloud Computing Infrastructure Elements

What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data visualization. Data lakes and data warehouses running on market-leading platforms such as AWS are growing fast, just as they are on the platforms of competing providers. However, as cloud-based workloads grow in number and size, organizations are facing difficult data preparation challenges. The flow of data raw, diverse, and frequently unstructured can quickly turn cloud data lakes into impenetrable swamps. Without good data preparation technologies and practices, users of all types are frustrated; their productivity and satisfaction suffer because it’s too hard to get accurate data that’s appropriately transformed and structured for their purposes.

Learn from the International CIO of one of the top 10 ad agencies in the world how consolidating infrastructure has become key to streamlining costs, enhancing productivity, and increasing cash flow. With operations spanning 295 offices and 11,000 employees, TBWA’s IT staff faced increasing demands to bring storage and data protection costs under control without reducing flexibility or security.

The benefits of moving to the cloud are not a mystery for financial institutions. Figuring out how is the challenge. Watch our on-demand webinar 'Migrating to the cloud: Strategies for mid-size financial institutions' to learn more.

An increase in regulatory, client service and margin pressures has prompted a growing number of firms to seek a move to Cloud-based, shared service solutions in order to remain competitive.