Robotic Process Automation

Transcription

1 Robotic Process Automation Expectations vs Realities Figures Facts Technical Pitfalls (Short Version) May 28, Hong Kong Lilia Kanevska (Managing Partner) DMS Solutions (Hong Kong) Ltd

2 The Agenda 1 What RPA brings into live: expectations vs realities 2 What is possible to automation with Robotic Process Automation and where you need to apply advanced programming, CV and ML 3 Destroying RPA Myths 4 What the key technical pitfalls are and what actions are to be taken to ensure RPA project is on a right track 5 RPA Figures, Facts, Use Cases

3 Setting right expectations: what is possible to automate with RPA? Data capture & re-input throughout different systems / applications data processing as per setup rules / scenarios data transformation and data matching data capture and data re-input throughout different systems / applications Data capture using OCR capabilities Data capture using standard OCR capabilities with subsequent data transformation, data matching and data re-input to the required systems / applications Complex data processing data cleansing and data transformation data matching and data comparison complex calculation that require human intelligence Watch Video Robotic Process Automation Use Cases Transactional processes from e2e perspective Transactional processes (rule-based) throughout different systems and applications: legacy systems, SAP, NAV, core banking systems, etc

4 Where RPA doesn t work and where you need to leverage ML, CV and AI? Unstructured data and input Processes and functions that have unstructured data / input (e.g. different types, layouts and structures of invoices, applications, booking forms, etc) Processes and functions that require human intelligence Watch Video Processes and functions that require human involvement like intelligent thinking, analysis, judgment etc. RPA Use Cases leveraging ML, CV and AI Process and functions that are driven by undefined future events / input The process logic and all possible future scenarios can not be defined upfront as are driven by undefined future events / input

5 RPA MYTHS Myth #1: skills used to deliver RPA PoC are enough for further RPA Programme Deployment

6 RPA MYTHS Myth #2: RPA doesn t require IT knowledge and can be implemented without IT involvement

7 RPA MYTHS Myth #3: Robotic Process Automation is not applicable for some sectors

8 RPA MYTHS Myth #4: RPA is not worth the cost investment

9 RPA MYTHS Myth #5: RPA is a temporary trend

10 Will RPA stay for long in the market? Robotic Process Automation RPA is an emerging technology and is here to stay. RPA is an effective entry point for any type and scale of business to build an agile back-office with powerful digital workforce supported by Machine Learning and AI. RPA (Robotics) is a revolutionary technology that enables business to increase its operational productivity and efficiency by replacing humans with robots with an aim to redeploy freed up human capital to focus on more complex, added value functions to drive innovation and growth

11 INTERNAL IT LANDSCAPE Core systems Other Legacy RPA is an effective entry point to build Intelligent Digital Workforce ADVANCED TECH CAPABILITIES SAP NAV DMS Characters recognition engines Voice Recognition engines Data Analytics engines SW Robots Analytics RPA POWERFUL MIDDLE-WARE SW Robots Dashboard Machine Learning engines Other AI engines External Clients Portal External Web portals AWS, Azure, Alibaba Social Network Gover- Nment Inst EXTERNAL LANDSCAPE

12 ADDRESS Unit , 18/F, Hollywood Plaza, 610 Nathan Road, Mong Kok, Kowloon, Hong Kong PHONE Hong Kong: Ukraine: WEBSITE & Who we are? Where we operate? About US «DMS Solutions» is a Technology company delivering Intelligent Automation Solutions. «DMS Solutions» is your professional service partner in the field of Advanced Robotic Process Automation. We leverage Machine Learning and Artificial Intelligence to build a powerful digital workforce for your business to win on the market. We focus on exploring new ways to apply disruptive technologies and recent inventions to bring innovative automation solutions in. We break boundaries and help clients to achieve their strategic goals through delivering next-gen solutions. Our Clients are high-performing enterprises coming from different industries: banking & financial services, insurance, logistics, healthcare, manufacturing & retail, real estate, transportation, oil & gas, energy, etc. We operate globally and we have offices in Hong Kong and Ukraine. Where we go? We are targeted at building democratized intelligent tech ecosystem that will be driven by open source AI and Machine Learning capabilities for the benefit of business humans