Duration
Document Intelligence and RPA in the Pharmaceutical Sector
2 days
Training Objective
- To equip participants with a thorough understanding of Document Intelligence and Robotic Process Automation (RPA), enabling them to implement AI-driven document management and automation solutions in the pharmaceutical industry.
Training Audience
- IT Professionals in the pharmaceutical industry
- Business Analysts focusing on process automation
- Data Analysts and Scientists interested in AI for document management
- RPA Developers and Solution Architects
- Pharmaceutical industry professionals aiming to enhance operational efficiencies through technology
Day 1: Understanding Document Intelligence and Visualization
- Introduction to AI in Document Intelligence
- Overview of AI and its impact on document management
- Significance of document intelligence in pharmaceutical research, regulatory compliance, and patient data management
- Fundamentals of PowerBI
- PowerBI Concepts and Terminologies
- PowerBI Key Features and Usage
- AI Technologies for Document Processing
- Data Preparation and Data Import from Excel to PowerBI
- PowerBI Data Modelling
- PowerBI Data Visualization
- Hands-On Practice
- Practical exercises on converting Excel documents to Dynamic Reports in PowerBI
Day 2: Understanding Business Automation
- Introduction to Business Automation with RPA
- Understanding the scope of RPA in automating business processes
- Analyzing the impact of automation on pharmaceutical operations and efficiencies
- RPA Tools and Technologies for Automation
- Robotic Process Automation (RPA)
- Microsoft PowerAutomate
- Introduction to RPA and its role in automating routine tasks
- Integration of RPA with AI for enhanced process efficiency
- Case studies on automation in drug discovery, clinical trials, and patient care management
- Developing RPA Solutions for Business Automation
- Designing RPA-driven Solutions
- Identifying business processes suitable for automation
- Blueprinting and designing RPA solutions for targeted automation areas
- Implementation and Monitoring
- Steps for implementing RPA-driven automation systems
- Monitoring and evaluating the performance of AI systems in business processes
- Hands-On Practice: RPA-Driven Business Automation
- Project to design an RPA-driven workflow, simulating a real-world business automation challenge
- Overview of Microsoft Fabric
- Using AI in Data Analytics in Business
- Conclusion and Q&A Session
- Comprehensive review of the topics covered
- Interactive Q&A to address specific queries and discuss real-world applications
Programme scope, delivery arrangements and suitability are confirmed during enquiry.