Amaresh Tripathy

Global Leader of Analytics at Genpact
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Amaresh Tripathy is the business leader of analytics at Genpact, a global professional services firm delivering outcomes that transform clients' businesses. He leads an extensive global team of analytics experts covering data engineering, data insights, AI, and machine learning. Apart from growing the company’s analytics business, he’s responsible for increasing the data fluency of Genpact’s 115,000+ employees worldwide.

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  • "For the past few years, data analytics teams have been laser-focused on delivering business insights. And in many cases, technology leaders had seemingly unlimited funds to make it happen. As we enter 2023, demand for digital transformation will remain high, but budgets will stay flat. In turn, enterprise leaders will need to reimagine their digital transformation strategy. But rather than stifling the growth of analytics, these constraints can spur innovation, especially as senior executives and their teams chart the course with limited resources."

  • "We're entering the era of the algorithmic enterprise, grappling with an economic downturn, and facing increased regulation and a slew of other issues. With so many uncertainties, one thing is clear for 2023: the need for technology leaders to do more with less. To thrive in this new environment, analytics leaders can't rely on old answers for new problems. Instead, they need to think creatively about how to embrace these constraints and spur innovation. If they do, they will drive growth and lead the way forward no matter what 2023 brings."

  • "With limited resources available to them, both in terms of personnel and capital, enterprise leaders must adjust their approach to analytics to do more with less. Analytics teams that used to have 50 people might now have 40. But the workload has stayed the same. To adapt, leaders must build cultures of ingenuity, in which technology empowers people to become more productive, collaborate, create, and innovate. In doing so, leaders will free up their teams to focus on higher-value work while leaving the rest to automation."

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