The cloud adoption journey is gaining momentum more than ever. Companies are increasingly migrating infra, applications, and workloads to the cloud. As new technologies are evolving, smart CIOs keep themselves up to speed with the latest on the abilities to leverage the cloud and the underlying technologies. Our company interacted with many CIOs to understand the challenges faced by them in cloud technologies. This blog summarizes their priorities and provides pointers to leverage the emerging market of the cloud.

Following are the 2023 top investment priorities for the CIOs in the cloud to gain a competitive advantage:

Integration of AI and cloud computing

According to the research conducted by Mordor Intelligence, the Cloud AI Market has valued at 5.2 billion dollars in 2020 and might increase to 13.1 billion dollars by 2025, with a CAGR of 20.3%.

These days, companies have begun using AI in every part of their business operations. AI reduces manual work and suggests relevant content with the help of ML to the end users. There’s a large amount of data required to be stored and processed, something that the Cloud enables. AI developers and cloud service providers work together to increase productivity, reduce cost, better decision-making, automation, analytics, and data management. Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google’s Assistant are some of the best examples of AI-powered Cloud.

Multi-cloud infrastructure

Companies are shifting from using a single-cloud infrastructure to a multi-cloud infrastructure. Such infrastructure allows companies to use multiple clouds, based on the needs and flexibility of their infra and applications. Multi-cloud infrastructure is gaining more traction over time because it also helps in avoiding vendor lock-in and lowers the latency rate. For example, a company can use one cloud platform for computing and storage and another cloud platform for the deployment of applications. Some popular cloud platforms (providers) are – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP); and there are several more competing for their market share.

Edge computing

Edge computing brings networks and devices as closely as possible to decrease latency and bandwidth use. In other words, edge computing analyses data locally, which makes it faster, more reliable, and more customer-centric. Edge computing works with cloud computing arm-in-arm to enhance value for end users. Data from edge devices are collected from multiple locations and sent to the cloud, where computing takes place. Autonomous or IoT-based vehicles are two examples of edge computing that helps end users make their life easy and comfortable. Fitness trackers (IoT devices) track an individual’s heart rate, burned calories, and step counts daily. Edge computing shows the results to the wearer, and cloud computing stores the data for future reference.

Low-code and no-code cloud services

Companies can leverage the low-code and no-code platforms with little to no coding knowledge to develop an AI-based application. The tools provide full authority to customize the platform as the user requires. The company doesn’t have to build infrastructure to build applications. Many companies are leveraging these services through clouds. Vendors like Microsoft PowerApp and Google AppSheet provide low-code and no-code development platforms to develop apps and automated processes. For example, in digital banking, a company can develop an app for timely and secured payment without having technical knowledge.

Desktop as a Service (DaaS)

A cloud service provider hosts and manages the company’s infrastructure and data resources of a virtual computer. The service providers monitor and ensure that the end users have uninterrupted access to the desktops. Companies that permit remote work and personal device flexibility can create a digital workspace for the employees. The Pay-as-you-go model makes Desktop as a Service scalable on demand. Faster deployment, reduced downtime, and cost-saving are a couple of benefits of DaaS. For example, Amazon Web Services (AWS) offers a cloud-based Desktop as a Service called Amazon Workspaces.

Serverless computing

Serverless computing is a cloud-native development model where a company can build and run applications. Instead of focusing on the configuration, developers can focus on building the application. Even though it is called serverless, physical servers are still present in the process. Just that an external cloud partner manages the infrastructure on behalf of the end users, which makes the process faster, reduces cost, and makes the application scalable. Netflix is one of the best examples of serverless computing. Netflix uses AWS lambda to encode the media files.

Data security in cloud computing

More than 80% of companies have migrated their workloads to the cloud, and the number continues to grow. Along with the benefits like scalability, efficiency, and cost optimization (and many more) of using cloud platforms, comes a cybersecurity threat slowing down the companies. A data breach can have disastrous impacts on companies, like loss in revenue and losing customer trust. Companies are prioritizing data security using new technologies like Extended Detection and Response (XDR) to protect against cyber-attacks. The use of AI and predictive detection of security threats and the demand for Security as a Service provider is increasing.

Secure Access Service Edge (SASE)

Digitalization in every industry demands more data migration to the cloud to make it secure. In July 2019, Gartner analysts coined the term SASE. SASE is a cybersecurity concept in which an establishment takes place between the applications and organizational entities to make the link secure. SASE merges networking and security into a single service. For example, Cloud security is one of the components of SASE and defends against security threats with the help of the applications and technologies delivered from the cloud. Gartner believes that SASE is the future model to secure networking.

Conclusion

As we can see the marketplace changes making the CIOs shift their focus to cost-effective management of their cloud resources/infrastructure, active cloud services monitoring, architectural design, resources performance, cost optimization, security & compliance, reports, and governance.

CIOs will need outsourced Managed Service Providers who can provide innovative cost-effective cloud solutions to their customers in a multi-cloud environment such as AWS, Azure, and GCP, as well as on-premise environments and ensure that the application and services are operating effectively without any outages and issues. Our migration service unravels and

Our Cloud Managed Services accelerate the journey of cloud transformation with low investment, a speedy realization of benefits, and minimal downtime.

Hope this blog is helpful. Have any specific issues to be discussed? You may always reach out to us through the Contact Us form or Email us at info@techvedika.com to share feedback or ask any questions you may have. We will be happy to discuss.

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