Strategic Technology Trends for 2018

 Strategic Technology Trends for 2018


Artificial intelligence (AI) and machine learning (AM)

will be increasingly integrated into everyday objects such as household appliances, loudspeakers and hospital equipment. This phenomenon is related to the emergence of conversational systems, the expansion of the Internet of objects (Idol) into a digital mesh and the tendency to digital twins.

Gartner’s top ten strategic technology trends for 2018 are paving the way for intelligent digital networking. The first three trends are related to the concept of “omnipresent intelligence”, namely the evolution of data science technologies and approaches in order to integrate machine learning and advanced artificial intelligence so as to allow the creation of physical and software systems programmed to learn and adapt. The following three trends focus on the digital universe and the growing interconnection between the physical and digital universes. The last four are the meshing of the platforms and services that are needed to produce the intelligent digital mesh.

AI and AM have reached a tipping point and will have a growing effect on virtually all technologies-based services, objects or applications.


 Artificial Intelligence and Advanced Machine Learning

Systems can learn and modify future behavior, leading to the creation of smarter systems and programs. In the banking sector, AI and AM techniques could be used to model current transactions in real time and to establish predictive models of transactions in the likelihood that they would be fraudulent.

Companies wishing to build on this trend to stimulate digital innovation should evaluate several business scenarios in order to combine clear and precise commercial value with these technologies and consider trying first with one or two projects low impact.


 Intelligent Applications

Applications such as Virtual Personal Assistants (APVs) perform some of the functions of a human assistant. They facilitate everyday tasks (by prioritizing e-mails, for example) and increasing the efficiency of their users (emphasizing the more important contents and interactions).

Other applications such as virtual customer service (VCP) offer more specialized functions in areas such as sales and customer service. As such, these applications are potentially capable of transforming the nature of work and the structure of the workplace.

“Within a decade, virtually every application and service will integrate any level of AI,” says clearly. “This long-term trend will evolve continuously and expand the use of AI and AM to applications and services. ”


Intelligent Objects

As intelligent objects, such as drones, autonomous vehicles and intelligent devices, emerge in the environment,

Garner predicts that independent intelligent objects will gradually form a collaborative model between intelligent objects.

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. Immersive experiments using RA and VR reach a price and capacity toppling point but will not replace other interface models. Over time, they will go beyond just visual immersion and integrate all the human senses. Now until 2020,

Digital Twin

Using physical data on the functioning of an object’s components and their response to the environment, as well as data provided by sensors in the real world, the digital twin can be used to analyze and simulate conditions real.

It can also respond to change, improve operations and add value. Digital twins will function as proxies for both competent individuals (e.g., technicians) and for monitoring devices and controls (e.g. manometers).

Their proliferation will require a change of culture, which will take place over the course of collaboration between people who understand the maintenance of real objects and data scientists and IT professionals.

Transaction log (block chain)

The block chain is a kind of distributed register in which the value exchange operations (in bit coins or other tokens) are grouped in blocks in a sequential order.

The concepts of block chain and distributed registers are becoming more and more popular because they offer to transform industry operating models such as music distribution, identity verification and recording of securities.

They point to the promise of a model that will increase confidence in entrusted environments and reduce trade frictions by providing seamless access to information in the chain. Although they are of great interest.

Conversational systems

Currently, conversational interfaces focus on virtual assistants and micro-based devices (eg, loudspeakers, smart phones, tablets, PCs, automobiles).

As the mesh develops, connection patterns will multiply and there will be the emergence of increased collaborative interaction between devices.

Architecture of mesh and service applications

The Mesh and Service Application Architecture (AAMS) is a modular, flexible and dynamic multi-channel architecture that leverages cloud computing and server less computing with containers, micro services, application programming interfaces ( API) and events.

Ultimately, the solutions support multiple users occupying multiple functions using multiple devices and communicating in multiple networks. However, AAMS is a long-term change in architecture that requires a major overhaul of development tools and best practices.

Digital Technology Platforms

Digital platforms are the basic elements of digital enterprises and are essential to 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.

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

Adaptive Security Architecture

In the IO environment, security is problematic. Security teams need to work together with application, solution and enterprise architects and look at security early in the application design process or Idol solutions.

Almost all companies will require multi-layered security and behavioral analysis of users and entities.