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Case in point: One oil refinery switched to an intelligent edge computing model and doubled its output while cutting maintenance costs in half.
Cyber resiliency aligns the strategies, tactics, and planning of traditionally siloed disciplines for an integrated, holistic approach to cyber incident response.
HPE GreenLake for HPC enables companies to unleash the power of high-performance computing without large up-front investments.
As enterprises turn to as-a-service offerings, a shared-security model is more important than ever.
Certain data and workloads need to remain at the edge vs. in the public cloud – and determining which go where is key to a modernization strategy.
The key to delivering next-generation, secure data management protection from edge to cloud? A rich, trusted suite of partners.
Access to a rich ISV ecosystem of applications and services can help enterprises unify and extract value from data wherever it resides.
With the right technologies in place, you can embark on data-first transformation with an eye toward energy reduction.
Colocation adds another robust layer to a hybrid IT estate, but there are challenges to making the move and ensuring seamless integration.
Edge environments promise to open up a whole new world of insights. Yet success requires a decentralized data strategy to drive business outcomes.
Organizations should embrace a centralized strategy for data policies, access patterns, and federated queries to complement and enhance the distributed data estate.
Garnering data-driven insights isn’t just about capturing and analyzing data from any single edge location.
To break down data silos, CIOs must make the right technology investments and work to change business culture and processes.
Beyond a shared governance model and data strategy, the right platform can reduce inefficiencies and ensure that business insights are securely delivered at scale.
Aligning with the right platform and partner can help IT leaders achieve the needed flexibility and agility to drive a data-first business.
Too many data and analytics initiatives remain stalled, but aligning with the right partner and platform can optimize data’s value and accelerate intended business outcomes.
A multigenerational IT landscape presents key challenges to data-first modernization, but there are ways to streamline the transition and maximize data’s value.
With the right partner and technology, organizations can plan for phased IT modernization without sacrificing business agility.
Cultivating homegrown talent and aligning with the right partners are crucial to advancing data and analytics efforts.
Getting strategic about data architecture is the key to maximizing data’s value as a business asset.