The The Edge Power Room Series – Unlocking the value from unstructured data and documents

Overview

A huge chunk of data within organizations are unstructured and locked in documents. These organizations are staring at lost opportunities because they fail to capture and make sense of all the information hidden in these documents.
AI enabled Intelligent Document Processing (IDP) is a game changer opening doors to a wealth of rich insights critical for faster and easier decision making without the need for time-intensive and manual extraction of information from documents.
Leveraging IDP, companies can deliver assured outcomes such as higher workforce productivity, faster time to value, and resilient business.

The Edge Power Room Series will bring together thought leaders to discuss current challenges and how automation can help improve business outcomes, accelerate innovation and drive growth in endless ways, thus shaping the enterprise of the future.
As the digital revolution takes shape, enterprises which can derive intelligence, from all the data that lies within the plethora of documents, will be able to shape the future and thrive in disruption.
Are you geared up shape the future of your enterprise?

Agenda:

Time Session
17:00 Networking drinks
17:45 The Future of Automation – Analyst TBC
18:05 Unlocking the value from unstructured data and documents -Badri Devalla, Senior Director & Head – AI & Automation Solutions at EdgeVerve
18:25 Panel discussion – How businesses can ease the complexity of processing documents with the help of AI
19:05 Open House and Q&A
19:20 Seated 3 course dinner with wine
20:30 Program ends

 

Speakers

Badri Devalla

Senior Director, Digitization and Automation Solutions, EdgeVerve

Badri Devalla is the Senior Director & Head – AI & Automation Solutions at EdgeVerve. Badri is responsible for implementing solutions leveraging AI & RPA products for Enterprise clients. Badri has delivered cognitive automation across Enterprise Operations using AI techniques ranging from Recommendation Engines to Deep Learning-based NLP to redefine customer experience and improve operations efficiency. His current focus is on “Doc to Digital” approaches to pipeline enriched & validated extracts from documents to Enterprise systems supporting business processes for New Business, KYC, Servicing, Claims, Telecom Billing, and Contracts Analysis. In his 25+ years of experience, he has led teams of systems architects, business process consultants, and Automation experts. He is an alumnus of Texas A&M University with a Master’s in Electrical Engineering (Data Compression & Error Correction) and a PhD in Computer Science (Networking & Real-time Systems).

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