We are developing novel statistical methods and machine learning approaches to interrogate EHR databases to identify the best treatment strategies and risk factors for a variety of diseases using real-world evidence,

Finextra spoke to Amit Bhute, SVP & global head of the banking and financial services practice and Soumyendu Kishore Pal, co-head of the capital markets practice at Virtusa about what is driving digital transformation in financial services today. Bhute says that the rise of digitally native neobanks has showcased a significant gap in the market. "Banking legacy infrastructure that was built between the 1960s and 1980s is crumbling and is now unable to meet the demands of increasingly real-time and data-intensive customer demands. Banks have realised that sticking to the status quo is no longer enough and simply meeting regulatory demands will not support growth." Traditional banks must focus their digital transformation strategies on innovation, otherwise new revenue will captured by the digitally savvy neobanks.

To better understand how artificial intelligence (AI) is being adopted differently by nations around the world, we sat down with Virtusa's Executive Vice President of Global Digital Solutions, Frank Palermo. As AI takes a more prevalent role in our society, the issue of ethics and governance has become critical, and policymakers around the globe have a collective responsibility to be forward thinking when deciding how best to regulate it. It is imperative that AI is managed in a way that allows the technology to reach its full potential, while ensuring it doesn't have a negative impact on humans and society. The US has historically left technology companies relatively unimpeded by government oversight or stringent regulation, with the market dominance of the FAANG companies (Facebook, Apple, Amazon, Netflix and Alphabet's Google) serving as a perfect example of this. While China has taken almost the opposite approach, with the Chinese government having a more'hands-on' role, specifically mentioning AI in their'grand vision' for the country, this has somehow still resulted in a similar ecosystem of tech giants, namely the BAT companies (Baidu, Alibaba and Tencent).

SOUTHBOROUGH, Mass., – (March 08, 2018)–Virtusa Corporation (NASDAQ GS: VRTU), a global business consulting and IT outsourcing company that accelerates business outcomes for its clients,has been included in Gartner'sMarket Guide for Data Science and Machine Learning Service Providers. The report, published on October 31, 2017, states: "Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills." According to Gartner, "the growing demand for DS&ML as a competitive differentiator is forcing organizations to acquire an even wider portfolio of skilled resources – from statisticians and data scientists, to chief analytics officers. However, there is a shortage of data science skills in the market, making it difficult to source the right skills." "We feel that we are one of the most visible DS&ML service partners worldwide and are proud to be recognized in Gartner's Market Guide," said Kumar Ramamurthy, senior vice president and global head, Data & Analytics, Virtusa.

This article is part of CMO.com's February series about mobile. There's no arguing that smartphones are firmly entrenched in our everyday lives. In fact, recent Adobe research found that consumers spend the same amount of time sleeping as they do consuming content on their smartphone devices. And while the phone provides a means of connecting with consumers wherever they are, customers have always been one step ahead of brands. But as the adoption of artificial intelligence accelerates, brands may be able to catch up, experts say.