# The future of the internet is intelligent machines

An internet revolution is upon us.

As we know it today, the internet has been largely about connecting people to information, people to people, and people to business. Monetization strategies range as widely as the options available, and for all the success, there are more failures. While many of the advancements have been extraordinary – even unthinkable a short time ago – too often we’re still left asking, “to what end?”

The internet can give consumers nearly anything with just a click, but global economies remain challenged.  The internet has become the biggest library in the world, but education is just now beginning to take advantage and change.  The internet can provide businesses with unprecedented data, but true insight remains contentious and change is slow.

The real opportunity for change is still ahead of us, surpassing the magnitude of the development and adoption of the consumer internet. It is what we call the “Industrial Internet,” an open, global network that connects people, data and machines. The Industrial Internet is aimed at advancing the critical industries that power, move and treat the world.

There are now many millions of machines across the world, ranging from simple electric motors to highly advanced MRI machines. There are tens of thousands of fleets of sophisticated machinery, ranging from power plants that produce electricity to aircraft that move people and cargo around the world. There are thousands of complex networks ranging from power grids to railroad systems, which tie machines and fleets together.

This vast physical world of machines, facilities, fleets and networks can more deeply merge with the connectivity, big data and analytics of the digital world. This is what the Industrial Internet Revolution is all about.

Productivity Revolution

The Industrial Internet leverages the power of the cloud to connect machines embedded with sensors and sophisticated software to other machines (and to us) so we can extract data, make sense of it and find meaning where it did not exist before. Machines – from jet engines to gas turbines to CT scanners – will have the analytical intelligence to self-diagnose and self-correct. They will be able to deliver the right information to the right people, all in real time. When machines can sense conditions and communicate, they become instruments of understanding. They create knowledge from which we can act quickly, saving money and producing better outcomes.

As an example, we have pushed the boundaries of physical and material sciences in our aircraft engines to the point where these engines are more powerful and efficient than ever. We will continue to improve them physically, but at the same time we can use software, monitoring and big data analytics to attack the $284 billion in annual waste in the airline industry that is caused by fuel inefficiency, unscheduled aircraft maintenance, and delayed flights. Consider that just a one percent improvement in aircraft engine maintenance efficiency can reduce related costs by$250 million annually. A similar one percent fuel savings in power generation could add more than $4 billion annually to the global economy. Whether in terms of operations, performance or maintenance excellence, all industries are looking for their next major productivity gains. Health care is burdened by a system where doctors and caregivers have to go searching for vital information; it is inefficient at best and life threatening at worst. We need to make the data more intelligent and integrated, more predictive and proactive, so information finds the doctor instead of the other way around. Intelligent data flows speed up care delivery and can prevent chronic conditions by getting the treatment right the very first time. Similarly, in terms of health management costs, “intelligent” hospitals are deploying systems that behave like air traffic control for medical staff and devices, and provide a full detailed view of hospital resources. Better utilization cuts capital expenses. Better asset location leaves nurses more time to focus on patients. Better management improves patient flow, cuts operating costs, and saves hospitals millions. There are similar scenarios in every other major industry, and the economic benefit can be huge. Assuming growth similar to what prevailed during the internet boom, the Industrial Internet revolution will add about$15 trillion to global GDP by 2030. That’s the equivalent of adding another U.S. economy to the world.

The amazing aspect of this growth is that it stems from what appears to be minor productivity improvements. At GE, we have 5,000 software engineers and another 9,000 IT engineers. We’re focused on mining for just one percent gains in productivity. The potential is irresistible.