In the past year alone, the integration of multiple emerging technologies has sped up; the threshold of AI development continued lowering, and industrial intelligence led the dawn of the fourth industrial revolution.

New and emerging technologies have the capacity to change our lives. If they are used correctly, they can improve the way we live, work, and do business. If misused, they can create problems ranging from a small disturbance caused by automated software to a large scale security breach.

Quick turns of events and selection of these advances in the endeavor are adding to the computerized change that gradually begun a few years prior. Thus, after quite a long time after year industry investigators recognize the innovation inclines that will shape and disturb organizations in the following not many years.

“Smart spaces build on the people-centric notion. A smart space is a physical environment in which people and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems. Multiple elements — including people, processes, services and things — come together in a smart space to create a more immersive, interactive and automated experience,” said Mr. Cearley.

The top 10 strategic technology trends for 2020 are:

Hyper Automation

Hyper Automation is the combination of multiple machine learning (ML), packaged software, and automation tools to deliver work. Gartner notes, “Hyper Automation  refers not only to the breadth of the pallet of tools, but also to all the steps of automation itself (discover, analyze, design, automate, measure, monitor and reassess). Understanding the range of automation mechanisms, how they relate to one another and how they can be combined and coordinated is a major focus for hyper Automation.”

Hyper Automation  requires a combination of tools to help support replicating pieces of where the human is involved in a task.”

Although not the main goal, hyper Automation  often results in the creation of a digital twin of the organization (DTO), allowing organizations to visualize how functions, processes and key performance indicators interact to drive value. The DTO then becomes an integral part of the hyper Automation  process, providing real-time, continuous intelligence about the organization and driving significant business opportunities.

Multi Experience

This trend refers to the improvement of human-machine interfaces, so that users no longer need to understand the technology to use it. It is the technology that understands human needs, adapts to them and takes advantage of all kinds of communication modes based on the human senses. Multi Experience  also refers to the inclusion of new sensory experiences (visual, audible, tactile, etc.) such as those offered by VR (Virtual Reality), AR (Augmented Reality) and MR (Mixed Reality).

By 2021, at least one-third of enterprises will have deployed a multi Experience  development platform to support mobile, web, conversational, and augmented reality development. As part of that, he talked about immersive environments in areas such as field service, retail, training, and design. But Burke said this includes a lot of other experiences, including apps on various devices, from smart speakers to your car. This will be supported by a lot of the new technologies, but the goal is to build “consistent ambient experience over time.”

Democratization of Expertise

Democratization is focused on providing people with access to technical expertise (for example, ML, application development) or business domain expertise (for example, sales process, economic analysis) via a radically simplified experience and without requiring extensive and costly training. Tas well as the evolution of citizen development and no-code models, are examples of democratization.

All individuals will also be able to access module-based “programming tools” to create their own solutions based on partially or fully finished program parts that can be assembled by an unskilled professional.

Human augmentation

Human augmentation is about using technology to enhance a person’s cognitive and physical experiences and abilities through the use of AI and machine learning. Cognitive augmentation improves a person’s ability to think and make better decisions, for example by leveraging information and applications to improve learning or new experiences.

Over the next 10 years, increasing levels of physical and cognitive human augmentation will become more prevalent as individuals seek personal enhancements raising the number of biohackers and body hackers globally.

This will create a new consumer effect,” where employees seek to exploit their personal enhancements — and even extend them — to improve their office environment as a whole.

Transparency and traceability

The developments in technology are creating a crisis of confidence. Consumers have become more aware of how their data is collected and used, which is why businesses are also recognizing the increasing responsibility for storing and collecting data.

This trend requires businesses to focus on six key elements to build trust: Ethics, integrity, transparency, accountability, competence, and consistency. Businesses must become transparent about how they use data and making sure traceability is possible.

Edge computing

The growing edge computing trend is based on the idea that keeping traffic local and distributed will reduce latency. This involves a topology where information processing and content collection and delivery are placed closer to the sources of the information.

The empowered edge employs the technology on the internet of things (IOT). This extends to the role of devices as the basis for smart spaces and moves key applications and services closer to the people and devices that use them. By 2023, there could be more than 20 times as many smart devices at the edge of the network as in conventional IT roles.

The distributed cloud

The distributed cloud refers to the dispersal of public cloud services to locations outside the cloud provider’s physical data centers, while still in the control of the provider. In the distributed cloud, the provider is responsible for all aspects of cloud service architecture, delivery, operations, governance and updates.

According to Gartner, this represents a significant shift from the centralized model of most public cloud services and will lead to a new era in cloud computing.

Autonomous Things

Autonomous things are physical devices that use AI to automate functions previously performed by humans. The most recognizable forms of autonomous things are robots, drones, autonomous vehicles/ships and appliances. Their automation goes beyond the automation provided by rigid programing models, and they exploit AI to deliver advanced behaviors that interact more naturally with their surroundings and with people. As the technology capability improves, regulation permits and social acceptance grows, autonomous things will increasingly be deployed in uncontrolled public spaces.

“As autonomous things proliferate, we expect a shift from stand-alone intelligent things to a swarm of collaborative intelligent things where multiple devices will work together, either independently of people or with human input,” said Mr. Burke. “For example, heterogeneous robots can operate in a coordinated assembly process. In the delivery market, the most effective solution may be to use an autonomous vehicle to move packages to the target area. Robots and drones aboard the vehicle could then affect final delivery of the package.”

Practical Block chain

It is a type of distributed ledger, an expanding chronologically ordered list of cryptographically signed, irrevocable transactional records shared by all participants in a network.

Block chain also allows parties to trace assets back to their origin, which is beneficial for traditional assets, but also paves the way for other uses such as tracing food-borne illnesses back to the original supplier. It also allows two or more parties who don’t know each other to safely interact in a digital environment and exchange value without the need for a centralized authority.

The complete block chain model includes five elements: A shared and distributed ledger, immutable and traceable ledger, encryption, tokenization and a distributed public consensus mechanism. However, block chain remains immature for enterprise deployments due to a range of technical issues including poor scalability and interoperability.

Block chain, which is already appearing in experimental and small-scope projects, will be fully scalable by 2023
Enterprise block chains today take a practical approach and implement only some of the elements of a complete block chain by making the ledger independent of individual applications and participants and replicating the ledger across a distributed network to create an authoritative record of significant events. Everyone with permissioned access sees the same information, and integration is simplified by having a single shared block chain. Consensus is handled through more traditional private models.

AI security

Evolving technologies such as hyper Automation  and autonomous things offer transformational opportunities in the business world. However, they also create security vulnerabilities in new potential points of attack. Security teams must address these challenges and be aware of how AI will impact the security space.

AI security has three key perspectives:

Protecting AI-powered systems: Securing AI training data, training pipelines and ML models.
Leveraging AI to enhance security defense: Using ML to understand patterns, uncover attacks and automate parts of the cybersecurity processes.
Anticipating nefarious use of AI by attackers: Identifying attacks and defending against them.

To the extent we can see, the new year envisions extraordinary open doors just as incredible difficulties for CIOs and their groups. However, it is principal to consistently recollect that grasping change and embracing new advancements and patterns will ensure that your endeavor stays dynamic and serious available.