Shikha SaxenaNov 21·6 min read

Creating long run roadmaps for business growth

Important and critical business trends are identified and picked up by Gartner each year. Gartner identified twelve technology trends that must be adopted by business to accelerate their growth in digital world. Predictions are that CEOs, CIOs and IT Executives are already reimagining technology 2022 Onwards and organizations are gearing up to evolve in digital world!

Understanding and implementation of these technology Trends by organizations may build engineering trust for providing perfect and efficient IT solutions and ensuring data integration and processing in the safe cloud or non cloud environments.

New technology may also provide much required organization digitalization to smoothly invent new applications that run business activities at faster pace and larger scale, optimize Artificial Intelligence and help in making smarter decisions in favor of business.

These new technology solutions and their smooth functioning in new optimized environment may enhance company growth Multifoods and win business and market share.

According to Gartner the new technology trends for 2022 for which businesses are gearing up to evolve in digital world in near future are as follows:

Data Fabric

Data Fabric is a design concept that helps integrate data layers and provide robust data management solutions by connecting all data processes. Data fabric uses all available data and metadata either discovered or inferenced for continuous analysis to support design and deployment and utilization of integrated and reusable data across all hybrid and multi cloud platforms.

Data fabric utilizes human and machine capabilities to access data and consolidate it to identify and connect dots and infer important business relationships and support re- engineered decision making. This helps comprehend more useful information out of the data by rapid access than traditional data management practices.

For example supply chain leader may understand supply delays and production delays more rapidly by integrating new data with existing ones to improve decisions regarding new customers or new suppliers.

Another example may be utilizing the capabilities of driver and semi- autonomous car to optimize driving experience and workloads.

Cybersecurity Mesh

Cybersecurity mesh is a flexible architecture that integrates distributed security devices and services and provides best security solutions moving control points closer to assets they are designed to protect in cloud and non cloud environments.

As he number of security breaches are rising organizations need to evolve and spruce up their security solutions to protect customers and tighten up governance and business decisions putting cybersecurity in forefront.

Privacy- Enhancing Computation

Efforts are being made and cybersecurity teams are expected to enhance security in digital transformations and new technologies. The movement to hybrid and remote work by knowledge workers and senior officials require to reboot the security policies and tools to mitigate risks. One such effort is privacy enhancing computation. It is concept of protecting data while in use even in unprotected environment as opposed to protecting it while in storage or in motion/ transfer.

Cloud Native Platforms

Developing new cloud native technologies to build new application architecture that is flexible, robust and agile capable of rapid digital change. Such cloud native platforms have increased benefits to use them and reduce complexities, existing earlier in traditional lift- and -shift approach to cloud.

Cloud adoption was on rise even before pandemic. Now even public cloud deployment outnumber private data center workloads. Cloud security is of utmost importance now for emote working and digital business increase.

Composable Applications

Composable applications are on rise which use and reuse codes and accelerates business and time to market new software solutions. Breakthrough technologies are appearing making organizations to keep up with the pace by using composable applications. Non fungible tokens, digital humans and physics informed AI are some of the emerging technologies.

Decision Intelligence

Reengineering decisions by making the best use of data and analytics will improve decision making in business and provide effective solutions and better outcomes. Considering what data is needed and how we can leverage and exploit it for the best business outcome, involves decision intelligence, that comes from reengineered thought process and tactful and impactful decision making.

Decision models may be made using data sets. analytics, simulations and learning from it and refining decisions in next set.

Hype automation

Hyperautomation is business approach to identify, modify and implement as many business/IT processes at a time. It increases scalability and remote operation without interruption from any cause.

AI Engineering

Along with AI governance, AI engineering may handle AI applications, models and their automation to ensure perfect business delivery.

Distributed Enterprises

Distributed enterprises make the seamless work environment for remote employees and consumers who are fueling demand of virtual services and hybrid workplace experience. These enterprises support digital -first and remote- first business model for digitalized customers.

Total Experience

Total experience is a business strategy that integrates and support and advocates best employee/ customer/user experience through holistic management of their confidence, satisfaction, loyalty and overall working experience.

Autonomic Systems

As the name suggests are autonomic and self managed physical or software systems that learn from environment and intelligently modify in real time over a period of time to self adjust and optimize to the environment in complex ecosystems, by adjusting their algorithms.

Autonomic systems are agile set of technologies that are able to adjust to new requirements and situations and optimize their performance and defend themselves against attack without human interventions.

Generative AI

Generative AI learns from data and generate innovative environments that are similar to original but does not repeat it. It has capacity to generate new creative content as videos and accelerate research in medicine and product creation.

These technology trends according to Gartner, top the charts in near future and various combination of these technologies may help businesses to exceed expected growth, if chosen and integrated judiciously, and planned in advance, for their business outcomes. Reimagining technology 2022 onwards will help organizations to gear up and to evolve in digital world.Shikha Saxena

A Technical Writer, an artist and blogger by choice. Passionate about reading , writing and editing. http://www.shikhasaxena.com and https://www.dnabox.co/

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• AI
• Technology
• Trends
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• Predictions