Prioritizing intelligent automation in your enterprise
Prioritizing intelligent automation in your enterprise
PODCAST

Prioritizing intelligent automation in your enterprise

Melissa Edwards talks about the right place to start and the right way to prioritize your investments for intelligent automation implementation.

When creating their intelligent automation investment and implementation strategy, some organizations decide to start in the back office, then move into more customer-facing areas of the business. Others look at technologies that are already embedded in their cloud platforms. And still others focus on those that will directly support the industry they operate in, e.g., predictive analytics in the retail, technology, telecommunications, and financial services sectors.

But is there a right place to start? Is there a right way to prioritize your investments and implementations?

In this podcast, Melissa Edwards, a KPMG managing director who focuses on intelligent automation and integration, sat down to discuss:

  • Why a linear approach to intelligent automation implementation – e.g., first RPA, then machine learning, then cognitive – may look nice on a slide, but doesn’t work well in a real business setting
  • Why you instead need to start by identifying your business’ biggest current strategic challenges and then look forward to correctly prioritize how you’ll implement the right technologies
  • Why automation is not causing the fear-mongered widescale loss of jobs, but is instead helping enterprises keep pace with massive work volumes and retirement-driven attrition rates.

Companion content

Melissa L. Edwards

Melissa L. Edwards

Managing Director, Digital Enablement, KPMG US