How CIOs are building Data-powered Enterprises

How CIOs are building Data-powered Enterprises


  • Prebuilt AI/ML models are helping enterprises transform experiences for employees and customers
  • Tech leaders are supercharging their data and analytics strategies to achieve a 360 degree view to deliver hyper-personalized experiences

Digital Transformation initiatives have gained significant steam in the last 18 months, with the global pandemic catalysing some of the biggest shifts in the tech industry. Most interestingly, these changes will likely have a long-lasting impact on the ecosystem. Tech leaders are well aware of the changing landscape and are aligning their digital transformation agendas to be in line with the dynamic business and market needs.

The new edition of “Digital Leaders Club” – a unique forum where tech leaders and experts come together to chart the future course of action reiterated how organizations’ technology roadmaps are evolving in line with the digital future that presents new opportunities. Technology and digital leaders from various industries talked about how they were leveraging cloud, analytics, and optimizing AI/ML models and running them on the edge for predictive analytics etc., in their area of business.

“In the world of hybrid, there are a lot of things to do from a digital standpoint especially in the areas of data and data security.  And, today’s customers are fundamentally different. The blending of overall technology experience in their everyday lives has become a very important factor for businesses to stay connected,” said Anoop Mathur, Founder & President, CORE Media, who moderated the discussion attended by IT leaders from diverse backgrounds in the industry along with Google experts.

Amit Kumar, Sales Director, Google Cloud, said, ”From a customer experience perspective, enterprise customers’ expectations are changing rapidly in the last few months. For example, we see a surging demand for pre-built AI/ML models that can run on multiple languages/modules.  This not only empowers the workforce’s complex problems but also transforms the experience,” adding, “we have seen an increased uptick for API-integrated AI solutions and Auto ML solutions that lets you build pre-models.”

As data becomes the top priority, organizations are open to moving critical data to the cloud to be able to draw better insights.

A CIO from a company that is into distribution and supply chain informed that in the last two years, they have moved their SAP DR to Google Cloud and are making use of a lot of digital assets. “We are planning to create a data lake where all of our data whether it is SAP, Salesforce, or Point of Sales resides in one centralised data lake through which we will be able to run an AI/ML algorithms on top of that and try to use that for better decision making.”

With the insurance sector moving from a product-specific industry to a service industry,  the IT head of a life insurance firm was of the view that the industry has to now address a new kind of customer which is called digital native.  “Now is the era of hyper-personalisation, and personalisation is the name of the game in the insurance industry. To deliver this kind of personalised data, we are looking at bringing the social data into our data lake. We are now talking about the 720-degree view,” he added.

The panelists also emphasized how they are enhancing data models to drive better business outcomes and build compelling user experience.