Out-Smarted: How Robotic Process Automation Unlocks Value, by Matt Smith

One day this blog could be written by a robot — and the day may not be far away.

Language makes us human. It’s the vehicle for conveying information, communicating perspectives, dictating policy and creating poetry. We consider it exclusively our own domain. Could our ability to communicate one day be aided, drafted, amplified, and completed by technology, not just disseminated by it?

Autonomics and robotic process automation are heading in that direction. Cognitive computing and artificial intelligence, along with natural language processing and emotional recognition, further that promise. Machine learning or deep learning (you choose!). Intelligent APIs. Neural networks …. the list goes on.

This is the evolving lexicon of intelligent automation. Sure, it’s a little overwhelming (in fact, we might need a robot to help us figure it out). But its fundamental premise is simple: technology can extend human capabilities — automating, accelerating, and amplifying how we deliver solutions in business and beyond.

What Is Intelligent Automation Anyway?

The idea of Intelligent Automation is still new. Today’s debate is about how to define the market and its potential. Service providers are still developing and defining solutions and scoping markets, but clearly, Intelligent Automation technologies present an array of opportunities for CIOs, business unit executives, and leaders of shared services groups, and functional areas such as human resources, finance, and supply chain.

It won’t mean drafting blogposts (and almost certainly not poems). It could mean auto-generated, intelligent emails compiled from an evolving set of answers to different types of conditions, questions, and challenges. It will mean intelligent data-processing and feedback capabilities enable information systems to automate decision-making and deliver services faster, more cost-effectively, and error-free.

A Brave New World

Automation has held promise for a long time, and it’s no hype. The cognitive solutions market is projected to exceed $40 billion by the year 2020, according to the Information & Communications Technology Market Outlook webcast of October 2015 from IDC.

We’re all learning how different applications can be designed, built, and implemented across business. Now businesses need a simpler rubric for understanding and applying available technologies.

We’ll be moving in this direction in this coming year. Though the landscape is still evolving, its complexity can be simplified. Next year, we expect to see the market focus less on individual technologies and more on how such technologies can help solve business problems. The Intelligent Automation lexicon will be simpler to navigate, as industry solutions emerge..

Applying Automation: Solutions For Now

To strategize, design, and implement automation-enabled solutions, we look at three automation horizons. The first is Do. The second, Think. The third, Learn. This mantra describes the continuum of solutions to simplify the conversation for business leaders looking to unlock the significant value of IPA:

  • Systems That Do accelerate workflows. By employing intelligent systems, organizations can lessen or eliminate the need for human involvement, proactively managing applications to keep systems running around the clock, handling multiple communications channels and large volumes of data.
  • Systems That Think are cognitive technologies like automated intelligence. These synthesize huge amounts of data Aand provide insights that drive critical decision-making. Importantly, once deployed these technologies adapt and evolve over time rendering smarter operations and ever richer analytics.
  • Systems That Learn includes artificial intelligence — advanced autonomous thinking systems that provide process intelligence for staying competitive. Systems that learn anticipate, predict and ultimately prescribe optimal courses for future actions.

Do. Think. Learn. simplifies the conversation around Intelligent Automation. It is important to have an approachable framework like this to guide development and delivery for rapid customization of pre-configured, industry-specific solutions that scale on-demand.

Making laws and writing poetry will still belong to humans. But intelligent devices allow us to integrate automation systems, bringing together technologies, methodologies, and expertise.

Thoughts? Comments? Suggestions? Visit me on LinkedIn to chime in. No ‘bot required.

Opinions expressed in this blog are of the author and may not represent Cognizant’s point of view.


Originally published at digitally.cognizant.com on December 31, 2015.

Matt Smith

Matt leads the Automation Venture for Cognizant’s Emerging Business Accelerator organization. His responsibilities include automation strategy, enablment and market communications. In this…

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