Cloud environments have the potential to deliver greater efficiency, performance, availability and agility and most enterprises are at some stage of a cloud transformation journey. Adopting a multi-cloud strategy helps avoid vendor lock-in but there are often trade-offs to be made and inhibitors are standing in the way. Often lack of visibility to applications and dependencies, insufficient migration planning, purchasing too much capacity, incurring excess costs, sub-optimal performance and availability, and lack of integrations with IT service management can stand in the way or serve as a roadblock to transformation. While some IT leaders state they have failed to realize notable benefits from cloud computing, others are far more successful in that journey. What are the keys to successful cloud transformation and in not only ensuring a higher level of service assurance but also optimizing resources and costs? There are many factors that need to be considered for successful multi-cloud deployments.

In this panel session, these leaders will discuss their cloud transformation experiences and plans and cover critical success factors including application discovery and dependency mapping, migration planning, capacity optimization, controlling cloud costs, automating cloud security, increasing performance and availability for service assurance, and intelligent IT service management – to name a few.

• Cloud Transformation needs to consider multiple factors from planning to migration to optimization to post-transformation management
• Successful cloud transformation is more than just “lift and shift” and involves optimization
• There is a trade-off between optimizing and being locked into a cloud platform vs. having the flexibility to operate across multiple platforms
• Most customers will be in a hybrid state for the foreseeable future and your technology choices need to reflect that
• You’re responsible for service assurance and optimization and that can be key to successful cloud transformation

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Almost half (49%) of the world’s stored data could reside in public cloud environments by 2025.1 Within every industry, IT tech leaders and C-level executives are positioned to influence their organization’s digital transformation, which needs to leverage exponential data growth and solve data gravity’s impact on hybrid IT infrastructure.

Already by next year, in 2022, more than 50% of enterprise data will be created outside the data center or cloud.1 This rapidly increasing intensity of data gravity, across all industries, underpins the necessary shift to a data-centric hybrid IT architecture and capabilities. As applications and services move closer to the data, centralized backhaul architectures incur higher costs, complexities and risks. A plan to “pivot and adapt” to a pervasive data-centric hybrid IT architecture that optimizes data exchange, especially as more data gets stored in the cloud, through a connected data community approach has become mission critical.

Enabling connected data communities allows for integration between core, cloud and edge at centers of data exchange, implementing a secure, data-centric hybrid IT architecture at global points of presence deployed in multi-tenant datacenters. The result is faster data access and aggregation, secure data near the customer and effectively embedded edge, cloud and core solutions.

In this session, you’ll learn:

• I About the rapid growth of data globally and the implications of data gravity intensity
• Why it’s important to re-think hybrid IT architecture with a focus on optimizing data exchange
• How to move the needle on digital transformation and the benefits of a connected data community approach
• Strategies designed to yield greater competitive advantages and new growth opportunities

Key Takeaways

• Learn strategies to overcome the implications of accelerated data growth and data gravity intensity on cloud migration
• Learn how a connected data community approach helps remove legacy barriers across the interconnection industry and tackles data gravity head on
• See why data gravity forces a shift to a data-centric architecture, where data is at the center of the architecture and integration is the challenge

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There’s a common cloud computing conundrum most IT and business leaders ask themselves; How much cloud flexibility and choice is enough, and how much is too much? The importance of this issue has been heightened in the last several years with the acceleration of workload migrations to cloud and application modernization. While the answer to this critical business and IT operations question is a bit complicated, in this session, Snow Software will talk about how you can successfully answer it by taking an informed, strategic and balanced approach.

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How have Cloud Data Warehouses evolved, and how can they help your business? During this session, Qlik’s Director of Product Marketing Clive Bearman will explore Data Warehouse Automation options and help your organization to evaluate which one is the best for you.

Takeaways: There are many great cloud data warehouse options, but determining which is the best for your business is paramount. All Cloud Data Warehouses are highly scalable and performant, and all are on-demand. Remember though, warehouse automation is the key productivity enabler.

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The ability to act on data-based insights in real-time has never been more critical than it is now. Faced with demands for modernization, cost optimization and digital business transformation, IT leaders are looking at how data and analytics programs can support expanding their digital business and increase their data and analytics maturity.

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