Today’s businesses are under constant pressure to drive greater value for customers, shareholders and employees, and this inevitably requires an ability to access, share and manage data.

Information must be available all the time, every time. This demands an agile, intelligent approach to data infrastructure, which often makes the difference between success and failure in a fast-moving, always-on competitive world.

“We often marvel at the amount of data we create each year,” said Dave Vellante, industry analyst for theCUBE, SiliconANGLE Media’s livestreaming studio. “The environment is shifting from an application-centric to a data-centric world.” 

During the March 30 “Data-Driven Begins With Intelligent Infrastructure” event, theCUBE will talk with industry analysts and Hitachi Vantara executives and partners about leading trends for infrastructure modernization and offer recommendations on key actions IT leaders should take to build a secure, agile, intelligent and sustainable, hybrid cloud data infrastructure for competitive advantage. (* Disclosure below.)

Connecting data sources

Today’s enterprises must develop an effective connection between a data plane and the storage platform where that data resides. Proper management of this connection is critical to ensuring smooth data integration and analytics processing while leveraging data intelligence for optimizing storage decisions and ensuring data location compliance.

To enable this “always-on” data infrastructure, intelligent automation is key. Hitachi Vantara is providing such intelligent infrastructure as a service, offering a 100% uptime guarantee. Hitachi Vantara also forged partnerships with other technology providers in the industry to provide end-to-end hybrid cloud solutions. One example: Hitachi Vantara launched Near Cloud last year, a solution that interconnects sources of data to applications with low latency and a virtual network for an innovative resiliency strategy, helping address data compliance, data governance, and latency challenges.

The March 30 event will include real-world discussion on how to find solutions that natively connect the data plane to storage infrastructure, delivering infrastructure as a service. Attendees can look forward to insights from Hitachi Vantara’s cloud experts, partners and customers who will offer instructive use cases and successes in managing cost and complexity in an increasingly hybrid environment. The conversation will provide a forward-thinking perspective on how companies can build hybrid cloud data infrastructure at the speed of business while leveraging telemetry, analytics and automation across the stack.

IT/OT convergence

In recent years, Hitachi Vantara has pursued a deliberate strategy to capitalize on key dynamics influencing the IT market. As a pure-play storage infrastructure provider, it realized that its future value proposition would require an expansion into data-driven intelligence. This has led the company to make several big bets around simplifying infrastructure with software-defined capabilities, providing AI and cognitive solutions and focusing on an industry cloud strategy. 

“Where data historically has been siloed inside applications, a new breed of data apps is emerging this decade that will dwarf the volume and intensity of anything we’ve previously seen,” Vellante said. “The infrastructure required to support these new workloads must evolve as well to drive new levels of performance and cost efficiency.” 

A key element in Hitachi Vantara’s strategy is IT/OT convergence. In recognition of this emerging market need, the company’s Lumada Industrial DataOps services integrates OT data from any industrial system with IT data from edge to cloud.

“The Lumada platform, the umbrella brand name, is really connoting everything that we do in the data space that allows customers to derive meaningful insights,” said Hitachi Vantara’s chief product officer. “Lumada literally stands for illuminating data.”

Customers are looking for products designed to effectively deploy applications and IIoT/IT/OT solutions successfully while extracting data more intelligently to drive business solutions. For organizations seeking to maximize competitive advantage in an information-driven world, theCUBE’s March 30 event will provide a deep-dive into key steps toward accomplishing a resilient, intelligent and sustainable data infrastructure.

TheCUBE event livestream

Don’t miss theCUBE’s coverage of the “Data-Driven Starts With Intelligent Infrastructure” event on March 30. Plus, you can watch theCUBE’s event coverage on-demand after the live event.

How to watch theCUBE interviews

We offer you various ways to watch theCUBE’s coverage of the “Data-Driven Starts With Intelligent Infrastructure” event, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE Insights podcast

SiliconANGLE also has podcasts of archived interview sessions, available on iTunes, Stitcher and Spotify, which you can enjoy while on the go.

SiliconANGLE also has analyst deep dives in our Breaking Analysis podcast, available on iTunes, Stitcher and Spotify.

Guests

During the “Data-Driven Starts With Intelligent Infrastructure” event, theCUBE analysts will talk with Hitachi Vantara’s Dan McConnell, senior vice president of product management and enterprise infrastructure, and Kevin Purcell, head of global strategic partnerships, as well as Giorgio Vanzini, vice president and global head of partners and alliances at DXC Technology; Ashish Nadkarni, group vice president and general manager of infrastructure systems, platforms and technologies at IDC Research; and Adam Lewis, global chief technology officer of the tech foundations business at technology service company Atos.

(* Disclosure: TheCUBE is a paid media partner for the “Data-Driven Starts With Intelligent Infrastructure” event. Neither Hitachi Vantara LLC, the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Image: SiliconANGLE