Dell Technologies Realize magazine Issue 2 | Page 30

THE INTERVIEW 28 There are a lot of technologies I’m passionate about—AI, Edge, 5G, take your pick. What’s most exciting, though, is the platform we have as Dell Technologies. CTOs are all about predicting the future, but also helping to make it happen. It’s very hard to make it happen if you don’t have a platform. But if you’re Dell Technologies, a roughly $90 billion company with global reach and trusted customer relationships, what we say matters, our platform matters, and our point of view matters. In this time of massive transformation, we have a huge opportunity to put our fingerprints on the industry and help move it—and the world—forward. What keeps you up at night? There are so many things changing so rapidly in the industry that if we don’t navigate any one of them properly, it could create a disadvantage for us. So, we need to be agile. We need to move fast to be ahead of the curve. We have a huge capability to do that, but we also have a lot going on. So, what keeps me up at night is making sure that we know not just what to do, but what not to do. Some technologies are buzz words and will remain buzz words for a long time. Quantum computing is a great example. We should be aware of it, but if we took all of our engineering capability and tried to build a quantum computer, we’d go out of business. I have the responsibility of making sure we pick the right battles and focus our energy Find examples of how AI is helping companies harness the power of data. DellTechnologies.com/AI. to best position ourselves in the industry. If we get it wrong, that’s where problems start to happen. You’ve been outspoken about the “data era,” but data and big data have been around for decades. How is this era different? For the first time in history, we not only have an abundance of data, but we have also invented new, more economic ways to store and process that data. Then most importantly, the software and algorithms have now reached a point, primarily through artificial intelligence and machine learning, that we can mine this data and turn it into something more interesting. There’s a hierarchy in data. There’s data, which is raw. Information is when you organize the data into structures. Knowledge is when you gain insights from the information. And wisdom is when that knowledge becomes useful to predict the future and understand the past. We are entering an era when the compute infrastructure, amount of data, and the algorithms are all coalescing so we can get to knowledge and wisdom at scale, across almost any industry. I think that justifies saying that we’re entering a new era—the data era. IoT devices are creating vast amounts of data at the edge. What is the edge, and why is it important? First, it’s important to recognize the edge isn’t a standalone environment. There are four layers that make up the multi-cloud architecture. There are the devices, which connect to the edge, which ultimately connects to private data centers, where you have full