Future of Process Mining for Businesses Summit (2nd Edition) 2023 | Group Futurista | 24 November 2023 | New York, USA

This summit is an upcoming conference that will bring together thought leaders, industry experts, and business professionals to discuss the latest trends, challenges, and opportunities in process mining. Process mining is a powerful analytical technique that uses data to visualize, analyze, and improve business processes. It is an essential tool for businesses looking to gain a competitive edge by optimizing their operations, reducing costs, and improving customer satisfaction. The Future of Process Mining Summit will feature experienced speakers and panelists who will share their insights and best practices on process mining. Attendees will learn about the latest advancements in process mining technology, industry trends, and successful case studies. They will also have the opportunity to network with peers and explore potential partnerships.

Why Attend:
Innovative keynotes delivered by the industry's true heavyweights, covering practical challenges and subjects which are exclusively entailed in our agenda. Gain subject matter expertise, network, and collaborate to explore solutions that shed light on future business models impacting revenue inflows.
It is a dedicated platform for Startups and VCs. We offer industry-specific startups a showcasing opportunity, enabling them to connect with corresponding VCs and Mentors. A win-win dynamic is created to attain the desired exposure for startups who are looking forward to scaling up their businesses
A smart application will help you connect with key decision makers, share files, brainstorm ideas, and have a seamless networking experience. A comprehensive module covering the entire event, compiled for training purposes, to be made available post-conference, exclusively for the attendees.

Who Should Attend:
CTO, CIO, CXO, Director, VP, Head, Manager, Specialist of:
• Process Mining & Analytics
• Process Maintenance
• Process Improvement
• Execution Management
• Intelligent Automation
• Category Management Mining
• Robotic Process Automation (RPA)
• Business Process Management
• Master Data Management
• Change Management
• Ecommerce Customer Experience
• Workforce Management & Analytics
• Digital & Emerging Technologie