Uncover insights hidden in your data from edge to cloud

Data is the life force and the fuel driving modern businesses. HPE has a data-first strategy that can bring about the data-first transformation your business needs, enhancing your ability to uncover insights in data across edge-to-cloud.

Uncovering the insights hidden in your data can give your business a significant competitive advantage. This paper lays out a strategic path to create a single, unified data source that can fuel analytics insights and AI/ML initiatives at scale. Learn how HPE can help you:

Uncover insights in your data with data-first modernization
Create a single, unified data source for analytics
Move AI/ML from pilot to production
Achieve flexibility and freedom

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Beyond costs: measuring the value of data

Measuring the value of data is a challenge for organizations amidst rising investments. Total cost of ownership (TCO) must encompass infrastructure, downtime, and hidden costs, while emphasizing the need for a strong data strategy and viewing data as a business asset. Simplifying data ecosystems, adopting scalable tools, exploring decentralization and emerging technologies, and investing in data innovation are key to unlocking data's value.

Modernize data analytics

Every enterprise today has a board-level mandate to create digital advantage from their data—whether to create new customer experiences, cut operational costs, or build new adjacent businesses. This solution brief provides an overview of the HPE Ezmeral Unified Analytics cloud services that connect analytics and data science teams to all their data, helping to automate and simplify analytics workloads and workflows. Learn how HPE can help you:

Teetering on the edge of innovation

The future of business is centered on data, but in order to realize the benefits, businesses will need to change how they can process data quickly where it’s collected. As data becomes more essential to daily operations, small and mid-size businesses need to make a decision about how they are going to gather, store, and analyze that data. While some organizations continue to invest in a traditional architecture, many are preparing to move their data footprint to the edge of their network. In this whitepaper, HPE helps you explore how to: