This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.
Information technologies are accelerating at an exponential rate, ushering in the fourth industrial revolution. This is a digital revolution and the pace of change is unprecedented. This revolution incorporates machine learning (think parallel processing and neural networks) and the concept of self-assembly or self-programmability. As technologies continue to advance, they accelerate the progress of other technologies, and so on, and so on.
To illustrate this, we can look at the evolution of disruptive technologies. In 2016, everyone was excited about the promise of 3-D printing. Now, we're gearing up for 4-D printing, an emerging technology that will enable us to print objects that reshape or assemble themselves on-the-fly, based on intelligent data. To make this level of self-assembly a reality, we will need dynamic and agile systems. Enter the Internet of Things (IoT) as the digital platform of the future. But the potential of the IoT has evolved into the "Intelligence of Things". Even Uber, the popular ride sharing app, has advanced its concept of on-demand travel to incorporate a fleet of electric aircrafts (called "Elevate") to lift us up and out of the chaos of gridlocked ground traffic (yes, just like in "The Jetsons").
The old approach to technology development moved linearly at the speed of human coders. The new model progresses exponentially at the speed of data, intelligence and self-assembly. Based on this new model, here are my top picks for technology trends that will dominate in 2017:
1. AI and Advanced Machine Learning: The Automatic Enterprise
Thanks to parallel processing, big data, cloud technology, and advanced algorithms, Artificial Intelligence (AI) and machine learning are becoming more powerful. As tech giants like Google, Facebook, and Apple invest in AI, it is becoming more mainstream. People already interact with virtual personal assistants (PAs) like Apple's Siri® and Google Assistant®. Facebook successfully created technology to identify people's faces with its facial recognition app. Recommendation engines and robo-advisors are becoming a reality in financial services. And robotic butlers are delivering room service in hotels around the world. The analysts are jumping on board, with Forrester predicting that investments in AI will grow 300% in 2017 and Gartner forecasting that 50% of all analytical interactions will be delivered via AI in the next three to five years. These are impressive numbers. But how will these investments pay off for the enterprise? Are computers really more intelligent than people?
Many jobs will disappear through automation and others will change significantly as the enterprise becomes more automated and intelligent. Over the next few years, some of us could be answering to robo-bosses. From a productivity perspective, we spend a third of our time in the workplace collecting and processing data-AI could all but eliminate this work. Every job in every industry will be impacted by machine learning. The upside? The opportunity to think exponentially means that the potential applications for these technologies are limitless. For businesses, understanding cognitive systems, big data analytics, machine learning technology, and AI-and how to leverage them-will be critical for survival. In the short term, these technologies will give organizations faster access to sophisticated insights, empowering them to make better decisions and act with agility to outpace their competitors.
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