The zettabytes of data will grow exponentially larger every thousand or so days as we increasingly rely on data-centric decision-making to drive near-instant decisions

Barcelona, May 11, 2021.- This statement is from Matt Jones, Global Engineering, with this career path: Matt Jones is responsible for the global R&D team at Wind River. In this role, he leads the delivery of innovative products that are enabling and accelerating the digital transformation of our customers across market segments, ranging from aerospace to industrial, defense to medical, and networking to automotive. With nearly 20 years of experience in the technology industry, he oversees the development of the Wind River portfolio to expand the company’s reach in both new and existing markets. He was previously at Virgin Hyperloop One, where as Senior Vice President he led the Software Engineering teams; tasked with providing all the software needed to manage, control, and operate an autonomous hyperloop system. This included embedded software and electronics, networking, cloud data and services, as well as customer-facing applications. Prior to Virgin Hyperloop One, he was chief product officer at moovel Group, Daimler’s mobility solutions company.

Matt Jones:

«Consider this simple example: Amazon now gives you multiple choices for delivery. Not just cost and speed, but also bundling, pickups, and types of environmental packaging. This simple modification — to increase choices based on demographic shifts in attitudes about the tradeoff of urgent need compared to potential environmental harm — is something that just a few years ago would have been a complex issue involving logistics, every supplier on Amazon, and their complete infrastructure. Yet we now look at those simple new choices at the shipping stage as part of the Amazon experience that we all expect and assume in everything we do, as consumers and as business leaders going forward. 

Seamless, intelligent, connected, sensing, and predictive. We need our systems at every level to incorporate these same capabilities, plus the ability to act, learn, and adjust. It’s this combination of activities that will drive the machine economy to be far more than just the automation of mundane tasks, but actually create business value.

The Brookings Institution has argued that global changes in productivity are a mere slice of what they once were. For companies, industries, and whole economies to grow we will need to embrace the idea of machines being a vital part of the new intelligent systems world. More humans doing more work is not the solution to future growth imperatives.

The machine economy requires a different set of thinking variables than before to be successful. If a company wants to grab the engine of economic growth that will drive success over the next 10 years or more, it will not achieve this doing the same things as before and expecting to get different results.

We are at a moment of significant transformation as a global economy. The capacity to innovate, differentiate, and deliver is less and less dependent on geography or history and more and more dependent on the ability to bring together tools, devices, and environments (like the edge) into constantly connected interplay to create value.

The machine economy will create new value chains for companies, if they are able to recognize in near real time how they can deliver the level of rapid, highly customized experiences that customers in business-to-business environments will expect. It might not be as simple as Amazon’s shift to packaging choices for consumers, but it presents the right engine for economic growth that connects the enormous amount of data being created with the increasing desire of businesses to deliver new forms of economic value and customer experience. 

When we run out of human resources but still want to deliver extraordinary growth levels in a world of data centricity, a machine economy offers a whole new way to approach the issue. It could free up billions of human hours that can be used to change the world. Welcome to the inevitable machine economy; it should be compelling».

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