Big Data & AI Conference Workshops

All workshops will take place between 8 a.m. to 4 p.m., Thursday, June 27, 2019.

Robotic Process Automation for Professionals

Target Audience

This Robotic Process Automation for Professionals workshop is intended for C-Suite executives and other managers and professionals who are responsible for operational improvement and digital transformation in their companies.

Date: Thursday, June 27, 2019

Time: 8 a.m. – 11:30 a.m.

Instructor: Dr. Edward M. L. Peters

Location: Acacia Room, Addison Conference Centre

Workshop Summary

The desire to reap the benefits of Intelligent Automation is effecting every industry. Organizations from healthcare to hospitality are looking to use technologies such as Robotic Process Automation (RPA), Machine Learning, Deep Learning, Natural Language Processing, voice recognition, text mining, etc., in the hope of reducing operational costs while improving quality and providing for a better customer experience.

Intelligent Automation technologies can be used to automate, augment, advise and allocate work in order to achieve breakthrough operating performance. The key to success is understanding where, when and how to apply the appropriate technologies in order to achieve this outcome.

This workshop will show you how to avoid false and disastrous starts and enable you to develop an actionable Intelligent Automation roadmap that is best for your organization.

What You'll Learn

  • Understand how RPA, AI and cognitive technologies are reshaping the workplace
  • Learn how to categorize processes and tasks so they can be matched to the appropriate Intelligent Automation Technologies
  • Identify and prioritize which projects a company should pursue
  • Establish an Intelligent Automation implementation method that focuses on RoI delivery
  • Identify potential issues in projects before they start
  • Create Centers of Excellence (CoE) that leverage organizational learning
  • Understand and quantify the business and technical implications of decisions and be able to assess the risk-reward trade-offs

Workshop Outline

1. Introduction to Intelligent Automation

  • Historical context of work and how it is being transformed
  • Terms and definitions: AI vs Narrow AI, Types of classes of learning technologies, RPA, etc.
  • ‘The Intelligent Automation Framework
  • Drivers for using the Intelligent Automation Framework
  • Processes, Activities, Tasks and Task primitives
  • The role of data
  • Creating the Data, Decision, Outcome and Technology Matrix

2. Using Three Intelligent Automation Frameworks

  • Introduction to the Zero Point Method™
  • The role of Discovery
  • Placing Tasks in their appropriate place
  • Choosing tasks for demo, Proof of Concept, (PoC), and Pilot
  • Developing the Business Case
  • Understanding the technology landscape and how to make a selection decision
  • Implementation issues

3. Industry Use Cases

  • Finance
  • Healthcare
  • Life Sciences

4. Organizational Issues

  • Maturity levels for Intelligent Automation
  • Roles and responsibilities
  • In-house roles vs. partnership roles
  • Skills, tools, and types best for roles in Intelligent Automation
  • Structuring Intelligent Automation Initiatives within your organization

Important Takeaway

Upon completion of the session, each participant will have an understanding and knowledge of the steps they need to take to begin the implementation of an Intelligent Automation program within their organization.

Workshop Instructor

Dr. Edward Peters

Dr. Edward M. L. Peters

Founder/CEO, Data Discovery Sciences

Dr. Peters leads Data Discovery Sciences, a boutique consulting firm specializing in digital transformation and has recently developed the Zero-Point Solution, a set of techniques that guide the identification and profitable implementation of RPA and cognitive technology projects. Prior to Data Discovery Sciences, he was CEO of OpenConnect Systems, an early leader in automated business process discovery and RPA.

He has been the recipient of numerous awards, including the Ernst and Young Entrepreneur of the Year, Regional Finalist in 2003, 2004 and 2008. He was also named Maryland Tech Council Entrepreneur of the Year in 2004.

He holds a Ph.D. in Applied Economics (process mining) from the University of Amsterdam, The Netherlands, an M.S. in Industrial Engineering and a B.A. in Government, both from Lehigh University, Bethlehem, PA. He has also attended programs at the Stanford University Graduate School of Business and MIT’s Sloan School of Management. He has held faculty positions in applied economics at Katholieke Universetiet (KU Leuven) in Leuven, Belgium and in mathematics at Lebanon Valley College in Annville, PA. His writings have been published in scientific peer reviewed journals as well as the popular press (Forbes, The Financial Times, The Hill).

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