It’s now sufficiently understood that intelligent technologies such as robotic process automation, cognitive computing and artificial intelligence are powerful force multipliers for improving operations. But, as is often the case when the pundits get too far ahead of reality, the story isn’t necessarily playing out as everyone expected.

As my colleague Rob Brown points out, “It’s not really about “the robot” at all. It’s about using the data that stems from process automation to help businesses and people make more intelligent decisions.” In other words, process automation isn’t resulting in the wholesale replacement of people by software robots as many predicted – and some still do. Instead, it’s enabling people to use their creative skills to interpret data, add value to business plans and collaborate more with their customers, partners and colleagues.

While the concept seems straightforward, the path to intelligent automation success often requires re-evaluating core business processes and the traditional operating models that support them.  New research from HfS, in partnership with Cognizant, illustrates that many savvy enterprise buyers from companies around the globe are responding with as-a-Service strategies using smart robots as an intelligent boost for knowledge workers.

 

On Tuesday, October 13th,  Rob and I have the pleasure of joining HfS President and CEO Phil Fersht and Chief Research Officer Charles Sutherland to share success stories, lessons learned and best practices from the automation front lines. We’re going to cover seven topical areas…

Seven questions you should be asking about Intelligent Automation

  1. To what extent are businesses using robots for knowledge processes solely for cost savings, efficiency gain or true differentiation?
  2. How can businesses tap the real prize of RPA: intelligent outcomes as a force-multiplier for smart people?
  3. What are the real results on efficiency (money saved) versus enhancement (analytics and meaning-making) outcomes?
  4. How should buyers calibrate their short, medium, and long-term strategies on adoption of intelligent automation?
  5. How can functional leaders (like IT, process owners, chiefs of data science) collaborate and commit to deliver, given the stakes are high and all are presented with huge opportunities – and potential risks?
  6. What is the realistic impact on future labor – will we really see mass job elimination, or a mass creation of more relevant, valuable roles for staff?
  7. What’s next in Intelligent Process Automation?

What you won’t hear are promises of some automation nirvana-like end state that’s hard to understand or can’t really be delivered anyhow. So if you’re looking for straight talk, zero-hype and… raw truth please join us and have your questions ready!

Register Here: The Raw Truth About Intelligent Automation

Matt Smith

Matt Smith

Matt Smith is Associate Vice-President at Cognizant and Conversational AI Practice Leader, where he leads a team dedicated to helping companies understand,... Read more