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Getting ready for a smarter 2017

Barrenechea, CEO and CTO at OpenText | Jan. 19, 2017
The new technology development model will progress exponentially at the speed of data, intelligence and self-assembly.

2. The Year of Intelligent Things: A Smarter You in 2017

The capability of smart machines increases substantially as they are infused with standalone intelligence.

AI and machine learning will be embedded into everyday things like appliances, cars, sensors and drones. Even our thermostats will continue to become more intelligent; they will not only learn our heating and cooling preferences, but also analyze factors like on- or off-peak use, weather forecasts, and previous consumption patterns to give us recommendations to reduce utilities bills.

This intelligence will be coded into apps. These apps will be driven by data and context, they will synthesize vast amounts of information, learn our behaviors, and react and adapt in real time to deliver relevant and personalized outcomes. Whether they make us more productive at work, optimize our health, or manage energy and utilities consumption in our homes, intelligent things and apps have the power to direct our actions and influence our interactions to help us make better decisions and, ultimately, improve our quality of life.

3. Get Ready for your Digital Twin

In 2017, advances in connectivity and machine intelligence will enable us to demonstrate the large-scale advantages of digital twins.

A digital twin is a dynamic software representation of a piece of equipment or system that emulates the original's materials, measurements, component parts, and behavior. More importantly, a digital twin also includes data that is unique to the asset it represents. Digital twins are created and maintained to allow simulation, analysis, and control. Initially developed by the military for aircraft, digital twins are gaining traction in other industries, such as renewable energy and manufacturing. The GE Digital Twin has created cloud-based computer models of wind farms which connect turbines while collecting and analyzing data to make them 20% more efficient. Black & Decker has digital twins of assembly lines and materials in one of their factories and has reported improvements of 12% and a 10% increase in throughput.

Over the next year, organizations will use digital twins to boost efficiency, optimize design and performance, and improve quality. Over the next five years, billions of objects will be represented by digital twins, including equipment, facilities, environments, processes, and even people. For every physical asset there will be a virtual copy running in the Cloud. Their potential lies beyond demonstrating proof-of-concept to mirroring an entire supply chain to support globalization and promote economic gain. In the not too-distant future, our own digital twins will help us make better decisions. As the next version of the virtual PA, an algorithm-based identity will maintain all of our preferences and relevant data, prompting us to act based on this information through notifications, reminders, recommendations, and more.

 

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