TEANECK, N.J., March 26, 2015 /PRNewswire/ -- Senior executives across industries agree that new software "robots", leveraging attributes such as machine learning, artificial intelligence, and effective use of big data, will unlock significant value within the next three to five years, according to a new study released by Cognizant (NASDAQ: CTSH).

The study, conducted by Cognizant's Center for the Future of Work, polled 537 senior business and technology decision-makers across multiple industry sectors, including financial services, insurance, healthcare, pharmaceutical, retail, hospitality, and technology. Respondents largely agreed that the benefits of intelligent process automation (IPA), and mining the resulting big data, can be characterized as providing money and meaning for their businesses -- faster processing with fewer errors, unlimited scalability, and lower cost of ownership, along with the ability to make more timely business decisions through automation-enabled analytics.

Executives surveyed consider their use of process automation to be high, but indicate they are still in early stages compared to the technology available. The study concludes there is a long tail of process systems yet to be automated, as machine learning and artificial intelligence enable a new generation of knowledge "robots" that can mimic human actions while interacting with multiple applications.

Key findings include:

• Respondents believe they are automating, on average, 25-40% of their workflow today. The survey indicates this automation is occurring with workflows that follow rote procedures and manual inputs, paving the way for next generation IPA technologies to drive greater cost savings and efficiency while driving richer business insights when applied to more complex workflows.
• About half of the respondents saw automation as significantly improving their business processes within three to five years. About 44% have similarly high expectations for business analytics.
• Nearly one-fifth reported achieving cost savings of greater than 15% from IPA over the past year.
• Health insurers emerged as industry trailblazers, pushing frontiers of cost reduction through automation of middle-office functions, such as claims coding and processing, with over one quarter seeing at least 15% cost savings year-over-year.
• In banking, nearly half of those surveyed reported at least 10% revenue growth driven by process-aligned analytics over the past year, and nearly three out of every four banks (73%) expect to see similar growth in the next three to five years.

"The future of process work includes connecting skilled people to increasingly powerful technologies such as autonomic computing -- including artificial intelligence, machine learning and deep learning -- that can increase savings, enhance insights, and accelerate business. This shift is playing out in just about every industry," said Gajen Kandiah, Executive Vice President, Business Process Services, Cognizant. "Our IPA practice applies digital transformation at the process level to help our customers benefit from automation. Our new study findings show that this trend will only accelerate over coming years as business leaders seek agility, better customer understanding, and cost savings."

"Businesses are taking a new approach to their organizational and business process models using automation as a key delivery model to digitize and analyze," said Charles Sutherland, Executive Vice President of Research at HfS Research who has been closely researching developments in technology and process automation. "By implementing software robots, service providers can ensure that work is done around the clock, eliminate human error, and ensure scalability as they save costs and drive revenue. Process automation also allows clients and service providers to share benefits including enhanced compliance, reduced risk and improved job satisfaction of staff."

About Cognizant's Intelligent Process Automation

Cognizant's IPA practice provides solutions for more than 120 clients in industries such as banking and financial services, healthcare, insurance, retail, and technology. Using a proprietary framework of technology, methodology, best practices, and integrated analytics, the practice leverages machine learning, artificial intelligence and deep learning principles to help clients achieve efficiency gains, while supporting growth and innovation based on rich digitally generated data.

Survey Methodology

The research was conducted by Cognizant with support from an independent research agency (E2E Research). More than 500 senior executives across North America (57%) and Europe (43%) responded to an online survey. Respondents represented companies with revenues of $500 million to $3 billion. Automation was defined as any activity that was previously performed manually and that is now handled by technology such as process automation tools.

About Cognizant

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. With over 75 development and delivery centers worldwide and approximately 211,500 employees as of December 31, 2014, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on Twitter: Cognizant. 

Forward-Looking Statements
This press release includes statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, our expectations regarding opportunities in the marketplace, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Factors that could cause actual results to differ materially from those expressed or implied include general economic conditions and the factors discussed in our most recent Quarterly Report on Form 10-Q and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law.

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SOURCE Cognizant