A Case Study that Goes Beyond Bots: Adding Intelligence and Accuracy to Automation at Ascensus
Successful digital transformation initiatives that deliver the highest impact require more than just RPA tools; after all, RPA works well only for simple, rules-based processes. The future of business process automation in the enterprise will be shaped by the convergence of RPA with AI-enabled technologies to remove process bottlenecks, strengthen operational efficiencies, improve the customer experience, and free employees to focus on engaging and meaningful responsibilities. In this session, we’ll hear how:
- Ascensus added ML-powered automation to RPA to efficiently process complex business documents
- Turning complex business documents into actionable data
- The resulting greater efficiencies and cost savings.
Speakers
Archana Kulkarni
Principal Architect
Ascensus
Seasoned product and technology leader with experience enabling business transformations by product innovations. Automation and Digital Transformation leader specializing in Machine Learning (ML), Robotics Process Automation (RPA) and Business Process Management (BPM). Experience in building, managing and mentoring geographically diverse teams. Adept at crisis management, problem solving and negotiation with multiple stakeholders. Deep expertise in Content Management, Cloud Computing, Big Data processing and Artificial Intelligence (AI).
Russell Malz
General Manager, Americas GTM
Hyperscience
Russ has over 25 years of experience in a variety of client-facing consulting and sales roles. He has a passion for helping companies use new and emerging technologies to drive business value. For the last decade, he has focused on solving business problems using Automation powered by Artificial Intelligence and Machine Learning. At the Big Data Company Acxiom, and AI company Ayasdi, he led sales and consulting teams to sell and deliver strategic engagements at some of the world’s largest banks.
