Upcoming Impact of Artificial Intelligence and Hybrid Cloud in 2022
As the year 2021 draws to a close as the globe prepares to enter the endemic era, exponential technologies will continue to lead the way in commercial change.
Companies will continue to adapt and develop their cloud computing and artificial intelligence deployment journeys across industries (AI). At the heart, cloud adoption will be driven by agility, scalability, and time-to-market, as well as security and compliance.
So, across these technical domains, here are the key developments and movements we expect in 2022.
Hybrid cloud as the dominant architecture
According to an IBM Institute for Business Value (IBV) research, 99 percent of respondents in India are using the hybrid cloud in various combinations, demonstrating that hybrid is the dominant architecture for diversely scattered estates of cloud. This is motivated by the need for safe open cloud environments that allow users to avoid vendor lock-in while also allowing them to explore the capabilities and benefits of various cloud service providers. Consistent monitoring, security posture, regulatory compliance, billing, and licensing management, and workload optimization will become crucial in this multi-cloud context, leading to a flood of new tools and platforms.
Microservices and open source to aid modernization
As businesses move deeper into their hybrid multi-cloud journey, they will expedite their modernization journey by embracing microservices and open platforms like RedHat OpenShift to stay ahead 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. Businesses will speed up mid-back office transformations and cloud migrations of mission-critical and core applications in the coming year.
Security will be front and center
With the rise of ransomware cyber assaults on IT infrastructure, businesses will realize the importance of establishing zero tolerance for trust in their security approach. They will invest 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 data.
Weaving data fabric into hybrid multi-cloud
Data fabric is gaining traction as the most inventive 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, environments, usage, and geography. It can assist companies that invest in AI, machine learning, IoT, and edge computing is gaining greater value from their data.
Automation to supplement workforce
Companies that will survive future disruptions will be the most flexible, not the healthiest, fastest, or strongest. Business operations must now be dynamic and linked to processes and ecosystems. The optimization of processes with different automation formats, the personalization of customer experience (CX), and the improvement of decision-making allow staff to focus on higher-value jobs. This includes utilizing AI for IT automation to assist businesses with real-time detection and automated response to IT events, allowing for quicker resolution.
AI to improve customer service and prevent supply chain disruptions
Virtual agents will become ever more important as automation is integrated into operations, and AI will have a greater impact on customer experience (CX). Artificial intelligence-driven automation will also play a key role in reducing supply chain interruptions and making the process more agile and efficient.
Embedding intelligent workflows for the virtual enterprise’s emergence
The virtual enterprise will emerge quickly as the next-generation organizational and operating model. A virtual enterprise is powered by a golden thread of intelligent workflows that connect 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.
Clouds in the industry will become commonplace
Industry-specific regulatory requirements continue to be a key impediment as businesses battle with security and mindsets as well. These standards are especially crucial for companies that are heavily regulated, such as financial services and government entities. 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-first customers. They will be able to innovate at the speed of change if they choose the proper platform — one with built-in controls — guaranteeing they do not fall behind.
Better AI insights at the edge
Businesses will increasingly use edge computing to bring AI closer to the data source, allowing them to act on insights and optimize workflows in real-time. AI, when combined with 5G and edge computing, has the potential to alter business by allowing for greater data control, lower costs, faster insights, and continuous operations. To deliver a faster and better customer experience, communications service personnel are turning to AI-driven automation.
Climate and environmental technology to the fore
With businesses dedicated to meeting their 2025 sustainability goals, AI-powered environmental solutions will be globally accepted. Companies will put money into environmental platforms and use them to track and manage their sustainability goals. Another new topic will be the use of carbon APIs to assess the supply chain’s carbon footprint. Greater measurement and data collection, higher predictiveness, and improved supply chain robustness will all help AI achieve sustainability criteria.
Redefining automation with software development
Companies will invest more in DevOps and SRE while incorporating security right in the middle, i.e., DevSecOps, rather than as an afterthought, as automation becomes critical to delivering at scale with consistency. With the rise of citizen developers, low-code and no-code platforms will become more popular, democratizing app creation. While low-code requires minimal formal coding experience, no-code allows users to design business apps using drag-and-drop interfaces, allowing for faster application development while also allowing for scalability and creativity.
To sum up, the companies are speeding up the implementation of new business models, 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.
Originally published at https://www.technofigure.com.