Using AI, machine learning and advanced algorithms enables organizations to unlock

tremendous value from data that was previously unreachable. Businesses are still in the infancy

of tapping into the vast potential of these combined technologies, but now is the time to

accelerate. Many organizations have a true hunger to apply these new capabilities to be more

competitive, open new markets, create new revenue streams or build new business models

across the globe.

Top e-commerce companies in India are in a head-to-head competition to gain market share.

They are using AI to create better products, user experiences and logistics, as well as to

effectively target the right demographics.

Flipkart, for example, is using AI to replicate and scale the in-store experience of having a sales

associate. Users are guided with relevant questions to help them find the exact product they

need in an online setting. Flipkart is also using AI to optimize intra-city logistics and help predict

product demands and returns. Myntra, the online fashion retailer acquired by Flipkart, is using

AI to process fashion data and predict trends to launch a fully automated clothing collection

without any intervention from a human designer.

In the financial services industry, Accenture recently implemented an intelligent anti-money

laundering and know your customer solution for a banking client. The solution leveraged a

combination of technologies-robotic process automation, AI and analytics as a service-to

help the bank increase compliance while reducing operating costs. Cost savings of more than

US$230 million were achieved over a couple of years, while also reducing human intervention

in processes and scaling them for better reliability.

Embracing this convergence of AI and analytics ultimately will change the way we interact with

people and technology, improve our decision-making and give way to new agility and

opportunities.

AUTOMATION AT SCALE