The Digital Transformation of Energy Production
There are a number of emerging technologies at play with modern energy production, each contributing to the transformative process in a unique way.
Startup Solutions | Wind River
As Featured in Forbes
A Critical Piece Of The Machine Economy: The People
70% of GDP growth in the global economy between now and 2030 will be driven by the machines, according to PwC. This is a near $7 trillion dollar contribution to U.S. GDP based around the combined production from artificial intelligence, machine learning, robotics, and embedded devices. This is the rise of a new machine economy.
» Read the Article on Forbes
Characteristics Of An Intelligent Systems Future: 12 Waypoints To Navigate Your Future Success
By 2030, $7 trillion of the U.S. economy will be driven by the machine economy. We’ll become data-driven software enterprises in the process. How we get there, and how successful we are, is already part of the thinking of leaders in organizations dependent on these ideas for business success.
» Read the Article on Forbes
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“Increasingly, machines will learn from experiences, adapt to changing situations, and predict outcomes.”2
The Engine of
the Intelligent Edge
RTOS-based applications at the core of pervasive AI are being brought about “by a proliferation of AI-powered smart devices able to recognize and react to sights, sounds, and other patterns. Increasingly, machines will learn from experiences, adapt to changing situations, and predict outcomes."2
» Read the Article2 “AI Is Not Just Getting Better; It’s Becoming More Pervasive,” Harvard Business Review, February 19, 2019
Wind River, Hewlett Packard Enterprise, & Intel Deliver 5G vRAN
Wind River Studio and HPE ProLiant DL110 Gen10 Plus servers, based on Intel® architecture technology, combine to make a powerful platform for 5G virtualized radio access networks (vRAN).
The New Intelligent Edge
Four Drivers of Digital Transformation at the Intelligent Edge and the Key Questions That Will Help Architect Your Success
The Modern RTOS
Today’s device makers are caught between two opposing trends. On the one hand, legacy code continues to run in deployed systems. On the other hand, development tools — and developers — have continued to evolve. The challenge is how to bridge today’s developers to yesterday’s systems.
In this case, legacy refers to software that was written quite a few years ago. The code still does what it is supposed to do; however, silicon, development tools, libraries, RTOSes, and even programming languages have changed substantially during this time. Consider an application such as an industrial robot, with a lifecycle of eight to 10 years. The equipment and software upon which the system was developed may not even be actively supported anymore.
The problem is only magnified for more complex systems, such as airplanes. In addition to having a longer lifecycle (on the order of 30+ years), these systems are really collections of many individually developed systems that must interoperate. Further complicating even simple maintenance of these systems is the constant need for upgrades and improvement of operational capabilities. Consider the pace of change in terms of IoT security. Connected devices must receive regular security updates to keep them secure from hackers. Devices a decade or older must also maintain a sufficient level of security, even though they were not necessarily designed to do so. And this is only one aspect of the system. For example, communication technology and protocols continue to advance, and, somehow, these systems need to be able to continue to integrate with the new systems coming online, especially those in the cloud.
Supporting Hardware Security Through Software
This paper provides an overview of the different levels of attack on hardware devices, then reviews the various ways of using software to protect these devices.
Software-Sicherheit in der gesamten Intelligent Edge
SICHERHEIT MUSS JEDES EINZELNE ENDGERÄT IM GESAMTEN LEBENSZYKLUS UMFASSEN
