Adobe is betting on fin-tech, retail clients for next phase of growth

Adobe is betting on fin-tech, retail clients for next phase of growth
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30 Mar, 2018

Photoshop maker Adobe Systems' Indian subsidiary is betting on clients from sectors such as fin-tech and retail for its next phase of growth, a top executive said in a report.

“With fintech startups, there is a new market opening up now, which is where Adobe needs to transfer what it has done for some of the big banks and insurance companies,” Kulmeet Bawa, managing director, India and South Asia, Adobe, said in a report by The Economic Times.

The company had earlier focused its efforts on clients such as Flipkart and MakeMyTrip from the e-commerce and online business sectors, respectively.

Bawa told the newspaper that the explosion of data has led companies to rethink their strategies about providing consumer experiences and this is why players, especially in retail, are interested. According to him, they also want to adopt an online strategy that will help them get better revenues. The company, according to the report, also believes that the education sector and the government will result in huge opportunities due to the Centre's drive to digitise India.

In an interview with TechCircle, Adobe India's managing director, Shanmugh Natarajan, had said that his unit was planning to make the company's tool Sensei, driven by artificial intelligence, more accessible.

"With Adobe Sensei, we are tackling today’s complex experience challenges, including image-matching across millions of images, understanding the meaning and sentiment of documents, and finely targeting important audience segments, etc. Sensei, now powered by 100 abilities, is integrated into all of Adobe’s cloud offerings across Adobe Creative Cloud, Adobe Experience Cloud and Adobe Document Cloud. It is enabling the automation of mundane tasks, driving predictive and personalisation capabilities, and boosting productivity," Natarajan had said.

"It enables creatives to work faster and allows marketers to discover meaning in data and create more effective experiences."