By Nicholas Ismail, Global Head of Brand Journalism, HCLTech


Kicking off day 3 at AWS re:Invent, Swami Sivasubramanian Vice President, Data and Machine Learning at AWS, explored the genesis of invention and innovation. 

In popular culture, the genesis of inventions comes from a spark or flash of genius. Newton's the apple and law of gravity springs to mind. 

But, is that really how innovation works? Are they as instantaneous as we have been made to believe? 

In Sivasubramanian’s view the eureka moments are an accumulation of years of research, data and education. 

“You need time to connect the dots, just like we do with data,” he said. 

AWS reinvent Day 3

Replicating the human brain in the enterprise 

In nature, insights and those inventive moments are driven by the power of the brain’s analytic ability. 

“The human mind shows how we can harness the power of data through creativity,” said Sivasubramanian. 

But, applying this to the enterprise is not easy.  

Within a business, the knowledge acquired is built from data points across the entire value chain. But unlike the human brain, there is not one central repository to store data. Data is siloed. Data is not processed automatically, which means enterprises need to build in automation. Data doesn’t automatically flow, unlike neural networks in the brain and needs data pipelines to transfer and collate it. 

“Data isn’t easy to analyze or visualize. It’s difficult to identify critical correlations that spark the creativity needed to develop new products and services,” confirmed Sivasubramanian. But, “neuroscience can be applied to data science”. 

Data is the genesis for modern invention, but it requires an effective data strategy to drive insights and transformation. 

According to Sivasubramanian, a data strategy needs a future-proof data foundation built on core services, solutions that act as the connective tissue across the business and the right tools and education to democratize data. 

Future-proof foundations shouldn’t incur technical debt or need to be rearchitected to respond to new and innovative workloads. They require: 

  1. Access to the right tools for all workloads and any data type 

  2. The ability to keep up with ever-increasing volumes of data 

  3. The highest reliability and security to protect data stores 

Customer experience in the Metaverse 

Customer experience (CX) has been pivotal in enterprise digital transformation for many years. The emergence of the Metaverse in CX is going to create new opportunities for enterprises, marketers and brands to interact with their customers in real-time and in more personalized and immersive ways.  

At AWS re:Invent this year, we are showcasing our new Metaverse platform, Metafinity, which is built on AWS.  

“Metafinity gives you comprehensive capabilities to build your Metaverse use cases in real-time. It has capabilities, such as starter kits, reusable components, integration to core enterprise ecosystems, 3D models and security,” said Virender Singh, Associate Vice President, Customer Experience Platform, Digital Business Services. 

Padmashree Suresh, Practice Head Mobility, Digital Business Services, added: “Metafinity is built on top of AWS and consumes AWS capabilities to drive more meaningful use cases that will fuel the Metaverse experience.

“We used several AWS services as part of Metafinity’s application development, including storing the heavy 3D models in S3 and using edge compute to download them. We also used the IoT services to collect data from a variety of sensors to carry out predictive maintenance.” 

FinOps: Taming the rise in cloud costs 

HCLTech’s FinOps team was also presenting a demo at AWS re:Invent. As more organizations move to the cloud, the issue of cloud costs spiralling is a very real challenge. FinOps offers a solution of being able to track the financial aspects of cloud transformation, ensuring that businesses aren’t using (and buying) networks, servers or cloud solutions other than when necessary.

AWS Day 3

On the HCLTech solution, Raghav Sanon, Product Manager for the FinOps ecosystem, said: “We are building the practice together, incorporating business, technology and finance to understand the economics of transforming in the cloud and optimizing that spend.  

“We cater to AWS, Azure and Google Cloud.” 

He added that the FinOps practice is based on three guiding principles: inform, optimize and govern.

Inform provides a 360-degree visibility of the entire client landscape, providing budgeting, tracking, detailed cost, user reports and more. 

Optimize looks at discount management, analyzing granular user data, license optimization and saving plans.

Govern is concerned with improving the user experience on the front-end and in operations. This includes delivering real-time detection, compliance and custom policies and workflows.