Digitize, Automate and integrate Accounts Payable process leveraging AI-ML
Digitize, Automate and integrate Accounts Payable process leveraging AI-ML
Over the last couple of years Artificial Intelligence and Machine Learning have evolved the Accounts Payables (AP) process. With the pandemic, digital transformation is on steroid and leveraging artificial intelligence, machine learning, handling invoices intelligently and other innovative technologies are high on CFO’s agenda. The crux of an accounts payable solution with self-learning capability is its machine learning algorithms and with the use of this technology companies are finding value in gathering datapoints from different processes and divisions and processing them for business intelligence. In this session, we aim to explore how an accounts payable system with AI-ML capability can transform invoice payment processing cycle and result in better utilization of resources and save costs.
Join the ET Unwired Webinar “Digitize, Automate and integrate Accounts Payable process leveraging AI-ML” powered by Tecnics an IBM Business Partner to know more on the same.
Talkpoints :
- Receiving and sorting invoices intelligently
- Extracting data from the invoice into structured information
- Focus on the full procure-to-pay cycle
- Booking invoices by adding relevant accounting information into the ERP/Financial system including managing exceptions
- Intelligent forecasting of business expenses and revenue
- Sorting GST/ tax related errors
- Reducing review efforts
Speakers
Jayaprakash Kalappan
CFO & Company Secretary
Panasonic Appliances India Company Limited
Amit Bhatia
CIO
Jaquar & Co. Pvt. Ltd.
Pooraan Jaiswal
CTO
Entero Healthcare Solutions Pvt. Ltd.
Meheriar Patel
Group CIO, Digital Solutions
Jeena & Co.
Rupesh Nirgude
CDO
Prism Johnson Ltd.
Khalid Shaikh
Vice President India Business
Tecnics
Dharmaraj Jaiswar
Digital Automation & Pre Sales
Tecnics
Satyen Makhija
Partner
KPMG in India
Moderator
Agenda
11:30 AM to 11:35 AM |
Intro by ET Edge |
11:35 AM to 12:10 PM |
Panel Discussion |
12:10 PM to 12:30 PM |
Session by Tecnics |
12:30 PM Onwards |
QnA and End of Webinar |