Unlike typical resources companies depend upon to thrive, the amount of data available to enterprises is not finite. With edge technology and smart devices, there is truly no limit to the quantity of useful data companies can and should be using to make better informed decisions. But many businesses unnecessarily limit the variety, quality, and extent of the data at their disposal by not having the right data architecture.

How Hitachi Vantara’s global IT team is enabling the “new normal” and delivering at speeds previously thought impossible.

Computer science loves abstraction, and now, as it turns out, so does data management. Abstraction means reducing something complex to something simpler that elegantly delivers its essence. Applications all over the world become more robust and easier to maintain and evolve when a simple interface is put in front of a complex service. The consumer of the service is able to say: This is a lot simpler than allowing the consumer to reach directly under the hood and mess with the engine.

The new normal has changed the way we work and the way we conduct business. More and more employees are working from home, customers are shopping online, and everyone’s phone is still attached to their ears. Bottom line: everything we’re doing in business and in our personal lives is leaving a digital trail. In fact, now devices are getting in the game and creating more data than people, 277 times more, according to Cisco.

DataOps is data management for the AI era. It offers new opportunities for emerging industry leaders by simultaneously instituting agility, improving quality, and increasing production success. Here, I will outline how you can solve some of your biggest data management issues with Lumada solutions, which power some of the top organizations in the world. Let’s first discuss data friction and how to remove it.

Effectively managing data in an edge-to-cloud world is becoming increasingly complex. Enterprises need data management simplicity and agility to maximize the benefits they can get from their data. The enterprise that will succeed will shift resources away from mundane data management tasks to focus on using data to innovate and add business value.

As you may have heard, Hitachi Vantara recently announced the intent to acquire the assets of Waterline Data. Today, that deal has become official and, as Waterline’s founder, let me say we’re super excited about our strategic role in furthering Hitachi Vantara’s vision to become the world’s preferred digital innovation partner.

Container technology promises to usher in the biggest step change in infrastructure economics since server virtualization. By some estimates, customers are saving as much as 50% on infrastructure costs by switching from hosting cloud native applications in their own data centers to hosting containerized versions of those applications in a private, hybrid or public cloud.

The opportunity to create new economic, social and environmental value by unlocking the “good” in data is immense. While the problems we face as a society may be getting harder to solve, the advances we can make when we break down the silos between the physical and digital worlds are profound.

Digital transformation provides a valuable opportunity for industrial companies to move away from manual processes and automate with digital technologies to improve safety, productivity, and quality for customers. But it can be a daunting endeavor for many. At Hitachi Vantara, we’ve developed an award-winning Smart Manufacturing Transformation methodology that can ensure full-scale digital transformation and success for our customers.