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.
Welcome back to DataOps central! My colleagues and I have been blogging and podcasting about the many critical facets of DataOps, which has the power to automate processes to get the right data to the right place at the right time. We’ve examined everything from the key components of the DataOps methodology to the data science behind it all. But one area we haven’t touched on yet is the culture component. You may be asking what do DataOps and culture have to do with one another.
At Hitachi Vantara, our mission is to help customers extract all the value of their data through our DataOps methodology, which helps them achieve tangible outcomes that positively drive business and society forward. One field where we’re making advances – which also strikes a personal chord with me, given my background as a biomedical engineer – is in the field of cardiovascular medicine. Specifically, I’m referring to our work with the American Heart Association (AHA).
