Free (Virtual) Tech for Accounting: RPA and AI - 2 hrs CPE, Tues. July 19, 2022
When: Tues July 19, 2022, from 6:00 to 8:00 PM (PT/Arizona Time)
6:00 to 6:20 - Networking
6:20 to 7:10 – Tech for Accounting: RPA
7:10 to 8:00 – Tech for Accounting: AI
Please join us as we explore how RPA (Robotic Process Automation) and AI (Artificial Intelligence) are changing our accounting platforms.
2 hours of CPE – Information Technology (technical)
Presentation 1 - 1 hour
Director, IT Application & Data Services, CBIZ Inc.
Education: Bachelor of Science from Franklin University
Management & Leadership
Mike is a global IT leader with expertise in developing vision and solutions for infrastructure and applications services in the manufacturing and professional services industries. He provides insightful leadership for teams focused on delivering high business value and operational excellence. Mike has experience with ERP systems, line of business systems, applications development, IT transformation, cloud technologies and services, outsourcing, vendor relationship management, and mergers, acquisitions & divestitures.
Presentation 2 - 1 hour
From Activity Based Costing to Artificial Intelligence/Machine-Learning Image-Recognition
The surprising story of how the need for better cost tracking transformed an entire company
- Understand some shared concepts and differences between Artificial Intelligence (AI), Machine Learning (ML)
- Consider how Accounting and Finance can drive organizational adoption of AI/ML
- Realize adopting AI/ML is often a make vs buy decision rather than only a software evaluation
- Define 'Crunch Culture' and how it can stifle innovation
Rembrandt’s innovation journey shows concepts such as Advanced Sensors, Computer Vision, Artificial Intelligence(AI), Machine Learning (ML), Containerized Applications, and Activity-based Costing are not only practical in large, cutting-edge enterprises, but also small to medium sized firms.
This presentation focuses on the later part of their innovation journey, after their new egg-processing sensors began producing so much valuable data, they needed more accurate data on egg-production - a key cost-driver. Rembrandt evaluated several options, ranging from expensive physical sensors to increased sampling; however, the simplest solution was to use AI/ML to count and size eggs within the images their existing cameras were already capturing.
This AI/ML presentation is less technical than most. It focuses more on how the need for AI/ML was identified; how it was determined to develop the solution in-house rather than buy an application 'off-the-shelf'; and the challenges some may face when driving innovation.
Additionally, we will introduce some very basic technical concepts because it is important to understand how AI/ML works in order to identify how it can help your organization. If you know the formula y=mX+b and that SUM(1,2,3) = 6 then you have sufficient prior technical knowledge to meet the learning objectives of this presentation.
Daniel is Head of Innovation and Founder of Theory Lane, LLC. He has been awarded "Platinum Medal Level" Leadership Academy Faculty Status by the IMA and has published multiple technical articles regarding data science and analytics in IMA's Strategic Finance Magazine. He was previously Director of Data Science and Innovation and Lead Data Science Architect at Syntelli Solutions, Inc and Associate Director of Business Intelligence at J. Walter Thompson Worldwide