RPA Moscow 2021
2021-04-13..2021-04-15
-- online --
who it's for
rpa developers, automation architects, system integrators, business analysts, data scientists, digital transformation leads, product managers
topics
OCR-based intake with Tesseract; Hyperledger Fabric for B2B payments; iPavlov virtual assistants and IVR; NLP for incoming request classification; self-service RPA centers of excellence; robotized classifiers and reverse search; RPA licensing, TCO and cost breakdowns; simulation with 3D digital twins; video analytics for object detection; support service automation with machine learning
| title | author | length |
|---|---|---|
| The Cheapest Way to Implement RPA in a Company | Sergey Votyakov | 45m |
Describes the cheapest way to implement RPA in a company, focusing on practical approaches to adopt robotic process automation and AI for business-process… | ||
| The Robot as Consumer and Source of ML Data | Kristina Shimko | 42m |
Discussion of using software robots both as consumers and generators of machine-learning data within RPA solutions, focusing on integrating robotic process… | ||
| RPA in Banks: How Robotization Improves the Financial Sector | Sergey Panchenko | 38m |
Overview of how robotic process automation (RPA) is applied in banks to improve the financial sector, covering innovations in RPA and artificial intelligence… | ||
| Robotization of Unstructured Data Processing | Sergey Votyakov | 46m |
Covers methods for automating processing of unstructured data using RPA and AI technologies, focusing on architectures and design approaches for integrating… | ||
| Pitfalls of Process Robotization | Ilya Dushin, Sergey Panchenko, Maksim Prokhorov, Aleksandr Nureev | 48m |
Panel discussion examines pitfalls of process automation (RPA) led by Ilya Dushin, Sergey Panchenko, Maksim Prokhorov and Alexander Nureev. Participants… | ||
| Optimizing User Support Services by Introducing Machine Learning Technologies | Yakhya Ibragimov | 39m |
Presentation describes using machine learning to optimize user support services, focusing on technologies like RPA and AI to improve service architecture… | ||
| Automating B2B Settlements with Smart Contracts | Gerbert Shopnik | 30m |
Presentation explains automating B2B mutual settlements using smart contracts on blockchain. It covers using smart-contract technology to handle invoicing… | ||
| RPA for System Integrators | Dmitriy Karpov | 49m |
Presentation about applying robotic process automation (RPA) in the work of system integrators, covering architecture, design, management, and improvement of… | ||
| How to Make Money with RPA | Natalya Romenskaya | 45m |
Explains ways to monetize Robotic Process Automation (RPA) and related AI-driven process automation by covering business models and commercial opportunities… | ||
| Digital Assistants as Drivers of Enterprise Digital Transformation | Loran Akopyan | 25m |
iPavlov Intelligent Virtual Assistants Platform describes using digital assistants to drive enterprise digital transformation by deploying intelligent virtual… | ||
| RPA as a Tool for Self-Service Automation | Dmitriy Grazhdankin | 40m |
Explains using RPA (robotic process automation) as a self-service automation tool: describes applying RPA and related AI techniques to let business users… | ||
| Honestly About Business Robotization | Aleksandr Nureev | 46m |
Overview of practical experiences with business robotization using RPA and AI, covering architecture, design, governance and process improvement. Discusses… | ||
| Business Transformation for Digitalization | Sergey Turusov | 45m |
Explains how businesses reorganize for digitalization using robotic process automation (RPA) and artificial intelligence. Describes innovations in… | ||
| OKR in Russia: Case Studies of Implementing the New Goal-Setting System Across Industries | Sergey Rogachev | 45m |
Presentation examines real Russian implementations of OKR (Objectives and Key Results) across multiple industries, describing specific cases of adopting the… | ||
| The Future of RPA | Sergey Votyakov, Dmitriy Karpov, Kristina Shimko | 45m |
Discusses the future of robotic process automation (RPA) and AI-driven business process improvement, covering innovations in architecture, design, management… | ||
| Simulation Modeling and Process Optimization in a 3D Digital Twin Environment | Aleksey Korablev | 25m |
Covers using 3D digital twins for simulation and optimization of business processes. Describes building virtual 3D models (digital twins) and running… | ||
| Building a Tax Monitoring System | Viktor Timoshin | 40m |
Describes building a tax monitoring system for businesses using robotic process automation (RPA) and AI technologies. Covers the problem of automating tax… | ||
| Why You Should Automate 'Imperfect' Processes | Eduard Shlepetskiy | 45m |
Explains why it’s worthwhile to automate imperfect business processes using RPA and AI, arguing that processes don’t need to be fully ideal before automation… | ||
| Digital Transformation — Challenges for Business | Maksim Prokhorov | 24m |
Discusses digital transformation challenges for businesses when adopting robotic process automation (RPA) and artificial intelligence. Covers innovations in… | ||
| Using Video Analytics to Detect and Classify Objects | Ilya Dushin | 22m |
Covers using video analytics to detect and classify objects in video streams, applying computer vision techniques for object detection and object… | ||
| How to Build an RPA CoE in Germany Without Knowing Anything About It | Pavel Morozov | 46m |
A practical account of setting up an RPA Center of Excellence in Germany without prior local knowledge. Covers organizing RPA governance, roles, and processes… | ||
| Parsing Incoming Applications with NLP | Nikolay Knyazev | 45m |
Nikolay Knyazev presents using natural language processing to analyze incoming requests for robotic process automation workflows. The talk covers applying NLP… | ||
| The Evolution of Fintech: From Custom Development to IPA in Russia | Amangeldy Mamyrbekov | 31m |
Overview of how Russian fintech moved from bespoke software development toward intelligent process automation (IPA), describing the shift in technology and… | ||
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