#165 Monetising All Your Enterprise Data to Advance Data Value Creation with HPE's CTO, Stuart Long

 
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Stuart Long is the CTO Hewlett Packard Enterprise. In his role, he identifies different product portfolios and pulls together solutions for different customer sets, such as public health, education, finance, retail, mining, and determines how to develop the solutions from HP’s product portfolio across all the different stacks.

In this episode, Stuart tells us how HPE is moving the analytics to the edge, making it actionable with the ability to link data across the organization and across multiple organizations with a new solution out of Europe; Gaia X.  He says that with today’s privacy regulations, it’s now about federating your data and then making that data available to people but still within your control. But you can’t do it alone – you need an ecosystem of partners and products to do that.  And that’s exactly what HPE has done. 

They have built a whole range of products to do what they call ‘federated data analytics’. This allows you to look where your data is and start to then understand where you want to analyse that data, and what data flows you need to provide, and how you want to basically store and categorize that data. There are a number of what they call “architectures”, and underneath those architectures, they are developing products that fit nicely within those to enable the customers to look at how to deploy these new systems.

Finally, Stuart tells us what excites him most about the opportunities ahead for Gaia and the data economy as a whole and HPE’s plans for Gaia in the next 3-5 years.  He says the ability to see a whole new range of services be made available very quickly, and different ways of utilizing those services - is what he calls ‘service chaining’. Giving the consumer a way of being able to choose from multiple different providers and customize their own different services and chain them together.

Stuart believes it’s really about developing the whole ecosystem and bringing on different partners.  We will start to see more edge to quarter cloud type environments where organizations will now have a lot more edge processing. Companies will become more and more digital, and services will become more and more digital. He tells us that there will be some interesting opportunities for organisations and with this level of innovation, there is going to be good and bad, but it’s about making sure that you can optimize the good and limit the bad. 

Enjoy the show!

To learn more about Gaia-x from HPE:

https://www.hpe.com/us/en/newsroom/press-release/2021/05/hewlett-packard-enterprise-launches-gaia-x-solutions-to-accelerate-data-value-creation.html

Stuart Long on LinkedIn:   https://www.linkedin.com/in/longstu/

Quotes:

  • “There's been a number of sort of analogies around that data is a new digital oil. And so what customers are trying to do is really get a better understanding of what assets they have, and then what value they can get from those assets.”

  • “For many years, I think people have stored information hoping that will one day become useful. What they're now seeing is the next sort of level of competitive sort of differentiation, how you compete better versus the other players in the market is really using your own data better.”

  • “It's really about starting to understand your data. That's why you see, chief data officer, these types of roles now being created, within businesses, you've seen many different silos, and so they tended to have their own data built around them.”

  • “How do you get better outcomes from health and social initiatives across different countries where you have sovereign data borders? What we can show here is how we can start to set that up, how you can build those ecosystems of data providers, and then be able to efficiently secure and put compliance across the data to share.”

  • “Now, though, this is one where you have very different views about that ability, and it comes down to imagine we could basically be based on your, your current lifestyle, predict your age, or where you're at you sort of you would have issues, are we at? If we do that, do we have a requirement to let you know?”

  • “Data models where we talk about process automation is really being able to say, well, great, if you had good quality data, you'd probably a good quality process automation.”

  • “So enabling someone to search through and basically, analyze your data is very different to just giving you a full copy of the data, then not being able to control what happens to that data in the future, or how they may morph their usages of that data.”

  • “People used to think that the Federated way of people keeping data, so their records were all kept by these different organizations enabled better privacy, what you're seeing now is that basically enables a lot more identity theft, and everything occurring. If there was a central place, that people could check your details, etc, or against, and do it in a secure way to say, great, we're just checking to see if everything aligns, and you just get a yes or no answer back then it would be far, far better and far safer for the consumer to be able to do that, then to have every different entity they deal with having a different record of them or who they potentially are at a point in time.”

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