IA at scale connects your technology through your digital and carbon-based workforce to your customer. That through line is created by effectively managing the insights from each project. The output from each intelligent automation project can be activated and amplified’ through human learning and/or machine learning. The biggest win you can provide your enterprise is to have it gain from a combination of human and machine learning which provides you with collective intelligence.

• Lessons learned from half-century of enterprise transformation
• Unpacking best practice for your people, process and technology- and how that all affects the customer
• Empowering your customer to forecast the future of your enterprise
• Ensuring your enterprise is thriving on your RPA & Intelligent Automation journey

Finding partners that own intellectual property in the full scope of automation technologies, and the expertise to combine these with human workers, is important to achieving scalability and organizational resiliency. Sourcing technology that comes with lessons learned from myriad projects in disparate industries will help ensure the success of your intelligent automation program. But if you don’t ensure that your team leads the program- or worse, is not involved in a wholly outsourced endeavor, your organization will never benefit from the true value of IA.

Debt: Recognizing the fact that true technical debt is being amassed at present

Talent & Technology: Do you have internal talent testing complex technology or have you outsourced everything?

Value: Ensuring that the true value of cognitive computing lives within your human enterprise