Top 10 Technology Trends for 2020 - Towards Data Science - 0 views
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Hyper-automation elevates task automation to the next level. It is the application of advanced technologies like Artificial intelligence (AI) and Machine learning (ML) to automate processes (not just tasks) in ways that are significantly more impactful than that of traditional automation capabilities. It’s the combination of multiple machine learning, packaged software and automation tools to deliver work. Hyper-automation requires a combination of tools to help support replicating pieces of where the human is involved in a task. This trend kicked off with robotic process automation (RPA) but will see growth with the combination of process intelligence, content intelligence, AI, OCR and other innovative technology.
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sbaut010 on 11 Jan 20Great for integration into MIS and customer service. AI is going to be BIG!
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Multi-experience deals with the massive shift from a two-dimensional screen and keyboard interface to a much more dynamic, multi-modal kind of interface world where we’re immersed in the interactive technology and it surrounds us. Multi-experience currently focuses on immersive experiences that use augmented reality, virtual reality, mixed reality, multi-channel human-machine interfaces and sensing technologies.
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More legislation similar to the European Union’s General Data Protection Regulation (GDPR) is likely to be enacted around the world in the coming years.
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According to Brian Burke, from Gartner, “edge computing will become a dominant factor across virtually all industries and use cases as the edge is empowered with increasingly more sophisticated and specialized compute resources and more data storage. Complex edge devices, including robots, drones, autonomous vehicles, and operational systems will accelerate this shift”.
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Autonomous Things are the physical devices that use artificial intelligence to automate functions previously performed by humans.
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The most recognizable current forms of autonomous things are robots, drones, autonomous vehicles, and appliances. The automation of these things goes beyond the automation provided by rigid programming models, and they exploit AI to deliver advanced behaviors that interact more naturally with their environments and with people.
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Recognizing “practical blockchain” is important here: while blockchain has been around for a few years, it’s been slow to be commercially deployed because of some of the technical and management issues in the technology. Blockchain has the potential to reshape industries by enabling trust, providing transparency and enabling value exchange across business ecosystems, potentially lowering costs, reducing transaction settlement times and improving cash flow and the movement of materials.
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Evolving technologies like hyper-automation already show how true digital transformation is changing in the business world.