5 Strategic Technology Trends for 2017

May 2, 2017

Artificial intelligence (AI) and machine learning (AM) will be increasingly integrated with everyday objects such as household appliances, loudspeakers, and hospital equipment.  Today’s top ten strategic technology trends for 2017 are paving the way for intelligent digital networking.

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These trends are related to the concept of “omnipresent intelligence”, namely the evolution of technologies and approaches in the field of data science in order to integrate machine learning and advanced artificial intelligence in order to allow the creation of physical and software systems programmed to learn and adapt. The following three trends are focused on the digital universe and the increasing interconnection between the physical and digital universes.

  1. Artificial Intelligence and Advanced Machine Learning

AI and AM have reached a tipping point and will have a growing effect on virtually all technology-based services, objects or applications. The creation of smart systems that are able to learn, adapt and potentially act autonomously rather than simply execute predefined instructions will be the main battlefield for technology providers at least until 2020.

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AI and AM, which combine technologies such as in-depth learning, neural networks, and natural language processing, can also include more advanced systems that are able to understand, learn, predict , To adapt and potentially to function autonomously. Systems can learn and modify future behavior, leading to the creation of more intelligent systems and programs. This new era comes from the combination of high parallel processing power, advanced algorithms and imposing data sets powering the latter.

  1. Digital

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The lines that separate the digital universe from the physical universe continue to blur, creating new opportunities for digital businesses. The digital world should be an increasingly detailed reflection of the physical universe and seem to be integrated into it, creating a fertile ground for new business models and digital-based ecosystems.

  1. Virtual And Augmented Reality

Virtual Reality (VR) and Augmented Reality (AR) transform the way people interact with each other and with software systems and thus create immersive environments. For example, VR can be used for training and remote experiments.

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Thanks to the RA, which allows superimposition and mixing of real and virtual universes, companies are able to superimpose graphics on real objects, for example threads concealed on the image of a wall. By 2020, companies should look for targeted VR and RA applications.

  1. Mesh

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Mesh refers to the dynamic interaction between the people, processes, objects and services on which intelligent digital ecosystems are based. As the mesh develops, the user experience changes fundamentally, and technological and security architectures and platforms must also be adapted.

  1. Conversational systems

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Currently, conversational interfaces focus on virtual assistants and devices that operate with a microphone (eg, speakers, smart phones, tablets, PCs, automobiles). However, virtual mesh encompasses a growing set of methods used to access applications and information, or to interact with people, social communities, governments and businesses. Device meshing extends beyond conventional desktops and mobile devices to encompass the full range of possible methods of human interaction.

  1. Digital Technology Platforms

Digital platforms are the building blocks of digital enterprises and are essential to a breakthrough in this sector. Each company will combine a certain mix of five platforms: information systems, customer experience, analysis and information, Internet objects and business ecosystems.

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In particular, new platforms and services related to IoT, IA and conversational systems will be a key focus until 2020. It will be up to companies to monitor the evolution of platforms and plan for the future, evolving their own platforms to meet the challenges of digital business.

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