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'AI Everywhere' technologies are moving rapidly through Gartner's Hype Cycle

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INDIA: Artificial intelligence(AI) everywhere, transparently immersive experiences and digital platforms are the three distinct megatrends that will enable businesses to survive and thrive in the digital economy over the next five to 10 years, reveals Gartner Hype Cycle for Emerging Technologies, 2017.

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Connected home, deep learning and machine learning have reached the peak of the Hype Cycle, while blockchain and commercial drones have slid into the ‘trough of disillusionment’. However, augmented reality and virtual reality are fast approaching the ‘plateau of productivity’ as they are heading for the mainstream adoption.

Hype Cycle for Emerging Technologies, 2017

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"When we view these themes together, we can see how the human-centric enabling technologies within transparently immersive experiences — such as smart workspace, connected home, augmented reality, virtual reality and the growing brain-computer interface — are becoming the edge technologies that are pulling the other trends along the Hype Cycle," said Mike J. Walker, research director at Gartner.

"AI Everywhere" technologies are moving rapidly through the Hype Cycle. Technologies such as deep learning, autonomous learning and cognitive computing are just crossing the peak, which shows that they are key enablers of technologies that create transparent and immersive experiences.

Finally, digital platforms are rapidly moving up the Hype Cycle, illustrating the new IT realities that are possible by providing the underlining platforms that will fuel the future. Technologies such as Quantum Computing (climbing the Innovation Trigger) and Blockchain (having passed the peak) are poised to create the most transformative and dramatic impacts in the next five to 10 years.

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AI Everywhere

Artificial intelligence technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks; these will enable organizations with AI technologies to harness data in order to adapt to new situations and solve problems that no one has ever encountered previously.

Enterprises that are seeking leverage in this theme should consider the following technologies: Deep Learning, Deep Reinforcement Learning, Artificial General Intelligence, Autonomous Vehicles, Cognitive Computing, Commercial UAVs (Drones), Conversational User Interfaces, Enterprise Taxonomy and Ontology Management, Machine Learning, Smart Dust, Smart Robots and Smart Workspace.

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Transparently Immersive Experiences

Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and in interacting with businesses and other people.

Critical technologies to be considered include: 4D Printing, Augmented Reality (AR), Computer-Brain Interface, Connected Home, Human Augmentation, Nanotube Electronics, Virtual Reality (VR) and Volumetric Displays.

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Digital Platforms

Emerging technologies require revolutionizing the enabling foundations that provide the volume of data needed, advanced compute power, and ubiquity-enabling ecosystems. The shift from compartmentalized technical infrastructure to ecosystem-enabling platforms is laying the foundations for entirely new business models that are forming the bridge between humans and technology.

Key platform-enabling technologies to track include: 5G, Digital Twin, Edge Computing, Blockchain, IoT Platform, Neuromorphic Hardware, Quantum Computing, Serverless PaaS and Software-Defined Security.

"Enterprise architects who are focused on technology innovation must evaluate these high-level trends and the featured technologies, as well as the potential impact on their businesses," said Walker. "In addition to the potential impact on businesses, these trends provide a significant opportunity for enterprise architecture leaders to help senior business and IT leaders respond to digital business opportunities and threats by creating signature-ready actionable and diagnostic deliverables that guide investment decisions."

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