As the year 2021 comes to an end, and the globe prepares to enter the post-pandemic world, exponentially increasing technologies will continue to lead the way in commercial change. Companies will continue to adapt and develop their artificial intelligence and cloud computing deployment journeys across industries. Cloud adoption will be driven by agility, scalability, duration, compliance and security.
So, in these technical domains in 2022, below are the key developments and movements we expect.
According to an IBM Institute, 99 percent of survey respondents in India use the hybrid cloud in various combinations, showing that the hybrid cloud is the most common architecture for corporate cloud estates. This is fueled by the need for safe open cloud environments that allow customers to avoid vendor lock-in. It also allows them to explore the benefits and capabilities of various cloud providers. Consistent monitoring, regulatory compliance, security posture, licensing and billing management, and heavy workload optimization will become crucial in this multi-cloud context, leading to a flood of new platforms and tools.
Businesses will accelerate their modernization journey by adopting platforms such as RedHat, OpenShift and embracing microservices as they progress further into their hybrid multi-cloud journey to remain abreast in a competitive marketplace. They'll assess their IT environments to determine which workloads and applications are best suited for cloud deployment and which must be kept on-premises. In the coming year, businesses will speed up mid-back office transitions and cloud migrations of mission-critical and vital applications.
Companies will realize the necessity to develop zero tolerance for absolute trust in the security approach as ransomware strikes on IT infrastructure become more common. They will indulge in solutions that protect their crown jewels and data through a single point of control that provides a holistic view of risks across all settings. Enterprises must think beyond near-term concerns as quantum computing develops stronger and provides potential risks, such as the ability to break encryption techniques and access sensitive material.
Data fabric is quickly gaining traction as the most innovative new architecture for deploying AI in a single location without requiring organizations to relocate their data. A data fabric design unifies essential data management features while being agnostic to data processes, geography, and environments, usage. It can assist companies that invest in AI, IoT, machine learning, and edge computing is gaining greater value from their data.
Companies that will withstand future disruptions will be the most adaptive, not necessarily the fittest, quickest, or strongest. Their operations must now be dynamic and linked to processes and ecosystems. Intelligent automation aids in the optimization of processes, the personalization of customer experience (CX), and the improvement of decision-making, allowing staff to focus on higher-value jobs. This includes utilizing AI for IT automation to assist businesses with automated response and real-time detection to IT events, allowing for quicker resolution.
Virtual agents will become ever more important as automation is integrated into operations, and AI will have a stronger impact on the customer experience (CX). Artificial intelligence-driven automation will also play a key role in reducing supply chain interruptions and making the process more efficient and agile.
The virtual enterprise will emerge quickly as the operating and next-generation model. A virtual enterprise is powered by a golden ring of intelligent workflows that link ecosystem players for shared benefit. It reassesses the requirement for infrastructure and skills while allowing for extreme digitalization, extended value chains, and new partnership models.
Industry-specific regulatory requirements continue to be a key impediment as businesses battle with security and adherence. These standards are especially crucial for heavily regulated companies, such as government entities and financial services. Cloud adoption is shifting towards specialized clouds, which may give significant value while maintaining compliance with data protection regimes, as these industries attempt to satisfy the demands of today's digital business. They will be able to innovate at the speed of change if they choose the proper platform, guaranteeing they do not fall behind.
Edge computing will enable businesses to act on knowledge and insight and optimize workflows in real-time by bringing AI closer to the data source. When combined with 5G and edge computing, AI has the potential to alter business by allowing for greater data control, faster insights, lower costs, and continuous operations. To deliver a faster and better customer experience, communications service providers are resorting to AI-driven automation.
We will witness the widespread use of AI-powered environmental solutions as firms commit to meeting their sustainability goals targeting 2025. Companies will invest in environmental platforms and use them to plan and monitor their sustainability goals. Another new topic will be the use of carbon APIs to assess the supply chain's carbon footprint. Data collection, improved measurement, higher predictiveness, and improved supply chain robustness will help AI achieve sustainability criteria.
Companies will invest more in SRE and DevOps while incorporating security right there in the middle, i.e. DevSecOps, rather than as an afterthought, as automation becomes more important to deliver at pace with consistent performance. With the rise of citizen developers, no-code and low-code platforms will become more popular, empowering app creation. Although low-code requires minimal formal coding experience, no-code helps to design business apps using drag-and-drop interfaces, allowing for faster application development while also offering scalability and creativity.
Companies are speeding up the implementation of new business strategies, transferring workloads to the cloud, and digitizing operations. We expect hybrid cloud and AI to play a critical role in driving the innovation that will help them create resiliency and expand their potential.