With over two decades of cross-functional technology experience under his belt, Pradeep is a passionate IT industry leader with a flair for developing tech business by leveraging the nextgen capabilities such as AI/ML, cloud, automation and many other digital technologies.

Initially, companies were only concerned about moving their on-premise data centers and applications onto the cloud. However, with the advancements in technology came the modernization of systems, applications and data that resided on the cloud to derive optimum results. As a result, process, resource and cost optimization have been some of the primary factors driving the widespread adoption of the cloud by organizations globally. Also, we have seen a lot of discussion happening around industry clouds over the last couple of years; for instance, commercial banking clouds, retail banking clouds and many others - each built to cater to specific industry segments.

Prominent Use Cases Driving Widespread Cloud Adoption

There has been a humongous increase in the number of start-ups that have taken birth over the last 5-6 six years. Given the wide range of benefits that it offers, the cloud has been the foundational pillar of almost all of these businesses. As a result, companies are now able to focus their resources towards enhancing their core competencies instead of taking care of their equipment, applications or on-premise infrastructure. Additionally, since most start-ups and SMEs have very sharp constraints pertaining to their overall operational costs, maintaining scalability and being flexible to change very often are very daunting tasks. Thus, having all their systems and applications on the cloud enables them to scale up or down very easily without having to shell out large investments. Further, having their process on cloud enables the businesses to automate their entire process by integrating cutting-edge technologies and solutions such as AI/ML, data analytics and RPA, further enabling them to cut down manpower costs and keep human intervention to a bare minimum.

Data governance and data sovereignty are very crucial things for companies while formulating business strategies, especially with applications that cater to customers across multiple geographies

AI-Cloud Computing Unification & Its Benefits

With the recent introduction of Gen AI creating massive ripples among the global tech community, AI is now on top of the agenda of boardroom meetings worldwide. Business leaders across almost every industry are now focused on coming-up with innovative ways to leverage AI to derive its maximum benefits. While AI does offer a host of advantages to businesses in terms of their process optimization, it is heavily dependent on the high computing power that the cloud offers. Additionally, the cloud facilitates real-time access to data for AI algorithms to analyze and compare with past data, identify patterns and offer meaningful insights for business leaders to make informed decisions. On the other hand, AI is being widely used by organizations to enhance the efficiency of cloud systems and ensure the security of data stored on the cloud. This inter-dependency of AI and cloud, if balanced rightly, will help organizations to significantly enhance their process outcomes, cut down costs and even help in formulating more effective business strategies by forecasting future trends. Most importantly, the integration of AI, IoT and cloud within a manufacturing setup offers a crucial advantage in terms of predictive maintenance, forecasting future demand and accordingly upscale/downscale cloud applications with minimal or zero manual intervention.

Key Security Challenges in Cloud Adoption

In today's hyper-connected digital landscape, data security & privacy have been one of the most discussed subjects across boardroom meetings worldwide. Realizing it’s important, every country has its own set of regulatory policies that every business operating in that region must adhere to. Thus, data governance and data sovereignty are two very crucial things that every company must pay close attention to while formulating business strategies, especially with applications that cater to customers across multiple geographies. Although every company today has stringent security measures and data governance policies in place, maintaining 100 percent compliance with regulatory policies across multiple countries is a tough nut to crack for most enterprises. Lastly, maintaining quality standards while simultaneously ensuring data security across all their service offerings is another challenging task for organizations, especially start-ups and SMEs.