Enterprises adopt digital transformation strategy, start with cloud migration

Cloud operations have become mainstream and cloud-based solutions are the need of the hour for organisations to conduct business seamlessly. For being digitally attuned, it is imperative to adopt an integrated offering that augments growth and scale. A report says, by 2024, the increasing impact of international data residency and privacy requirements is the need of the hour as it can be used to create jobs as well as applications for various services and tasks. It can be used to sell products and expand the business. It makes social networking and keeping in touch with friends easier and faster. The adoption rates of multi-cloud and hybrid cloud strategies are expected to continue rising in the year ahead.

As enterprises continue their cloud migration and digital transformation, more companies will use multi-cloud environments to distribute their workload. This fosters innovation by aligning workloads with the cloud service that is best for the use case. Cloud computing is the on-demand utilization of servers, data storage, development tools such as databases, networks, etc., over the internet. Other benefits include failover capabilities for better redundancy and disaster recovery, avoiding vendor lock-in, and pay-as-you-go models.

Hybrid cloud technology models can include on-premises resources, dedicated private clouds, and multiple public clouds for applications and data.

In today’s competitive world, Cloud computing offers opportunity and obstacles, where the businesses need to choose the right way to improve the efficiency, productivity, and overall performance available in cloud computing. Cloud computing has evolved over the years to serve companies better using this revolutionary technology. Still, companies need to choose the right cloud provider based on their demands, which will certainly improve their business. Digital transformation is another word that has been floating around lately.

Technologies such as artificial intelligence, machine learning, and big data rely more on the cloud than traditional methods. With powerful processors supported by the cloud, the processing and training of extensive data, the AI, which concludes the fed-in data, and the application of what has been learned in real scenarios is possible. This gives organizations more control over how and where their data is stored. Companies may want to keep sensitive information on-prem servers for security or compliance reasons while taking advantage of the scalable computing capacity of the cloud.

Going forward, the market will continue to grow in the coming years as more telecommunications companies partner with service providers to form hybrid work environments. More consumers will adopt automation for better collaboration and flexible working.

S Mohini Ratna, Editor, VARINDIA