Top 10 Disruptive Technologies Trends For 2017

1. AI and Advanced Machine Learning

As said above, Artificial Intelligence and machine learning compose of many technologies. These technologies, which are different from traditional algorithms and programs, make the machines intelligent. Gartner predicts that the applied AI advanced machine learning will inspire applications like robots, autonomous vehicles, consumer electronics, virtual personal assistants, and smart advisors.

2. Intelligent Apps

Intelligent applications like personal assistants are making our lives easier. Gartner expects that future assistants will be more specialized and equipped with potential to transform the workplaces and homes. Over the course of next 10 years, every application, and service will make use of some kind of AI. It’ll be a long-term trend that’ll evolve with time and expand AI application in apps and services.

3. Intelligent Things

Intelligent things are the machines that use applied machine learning to interact with the surroundings and people more naturally. Gartner expects that intelligent things like drones, autonomous vehicles, and smart appliances will work together in an intelligent and collaborative environment.

4. VR and AR

In present times, VR and AR technologies are in their nascent phase. Gartner expects that the landscape of immersive consumer applications will evolve at a rapid pace through 2021. They’ll form a digital mesh by collaborating with apps, mobile, wearables, and IoT devices.

5. Digital Twin

Digital twin refers to a dynamic software model that uses sensor data to understand its state. It responds to the changes accordingly and improves its operations. They include a combination of metadata, state, event data, and analytics. Gartner predicts that within 3-5 years, hundreds of millions of things will be represented by digital twins. They’ll be used for planning and repairing equipment services, for operating factories and increasing the efficiency. They’ll replace the combination of skilled human resources and traditional monitoring devices.

6. Blockchain and Distributed Ledgers

In recent years, blockchain and distributed-ledger concepts are becoming popular as the industry thinks that they hold the power to transform the operating models. Apart from the financial industry, they have future applications in identity verifications, title registry, supply chain, music distribution etc. While they have immense potential, Gartner says that they are still in their early alpha or beta testing stage.

7. Conversational System

In future, in the conversation interface arena, the focus will shift from chatbots and microphone-enabled devices to the digital meshes that will encompass a wide range of endpoints. Later, we’ll observe a greater cooperative interaction between devices, creating a path for a new ambient digital experience.

8. Mesh App and Service Architecture

In MASA, mesh app and service architecture, mobile, desktop, and IoT apps are connected to a mesh of back-end service to create an application for the end user. This architecture exposes APIs at different levels balancing the demand for agility and scalability of services. It allows the users to have an optimized solution for endpoints in the digital mesh.

9. Digital Technology Platforms

They act as a basic building block for a digital business. Gartner has specified 5 major focal points that help to enable new capabilities and model businesses. These points are – information systems, customer experience, analytics and intelligence, the IoT, and business ecosystems. Gartner says that every organization must have a mix of these five factors.

10. Adaptive Security Architecture

Last but not the least, the technology companies will be focussing more on the security applications due to a complex world of interconnected platforms and applications. With the addition of the IoT frontier, slowly, we are observing newer security implications.

Via Gartner