Unlocking the value from unstructured data and documents – Media & Telecom Spotlight
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About the Webinar
Over 80% of data within documents, such as contracts and leases, is unstructured. Organizations are staring at lost opportunities because they fail to capture and make sense of all the information, hidden in these documents, which could potentially unlock significant value.
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. IDP can overcome the challenges of volume, variety, veracity, and velocity without the need for time-intensive, manual extraction of information from documents.
Join us for an interactive webinar to learn how IDP can help you deliver assured outcomes such as preventing revenue leakage, mitigating operational risks, faster time to value, and resilient business.
Attend and learn:
Speakers
Badri Devalla
PhD, Associate VP, EdgeVerve
Badri Devalla
Badri Devalla is the Global Solutions & PreSales Head at EdgeVerve, an Infosys company, leading a team of AI & Automation experts to design solutions that drive business outcomes for our clients using EdgeVerve Platforms. His expertise and focus is to bring the latest in AI to Enterprises to drive touchless operations, deepen customer engagement and amplify employee potential. In other roles in Infosys, Badri has been a Sr Principal in Hi Tech, and a Senior Manager – Client Services where has been a trusted advisor to business and technology executives.
Prior to Infosys, Badri led Systems and Solution Engineering teams at Nortel and Networking Startups.
Badri has an M.S. in EE, and PhD in CS from Texas A&M University.
Shubham Tripathi
Senior Business Development Manager, EdgeVerve
Shubham Tripathi
Strategic leader helping enterprises generate business value from AI and RPA. Technology Evangelist, with a rich experience of solving complex business problems using Automation and Artificial Intelligence products/platform solutions leveraging Computer Vision, Machine Learning, RPA, and Process Mining.