On Demand
Drive Actionable Banking Insights Through
Document Intelligence
Maximize your technical investments to accelerate innovation, deploy resources with greater efficiency, and reduce crucial errors with intelligent document processing
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All information is confidential and will not be shared.
Join us for this interactive live event, at which industry leaders and Artificial Intelligence subject matter experts from Microsoft, IBM and Neudesic will share insights on how Neudesic’s Document Intelligence Platform and Azure Cognitive Services can be used to automate manual tasks to free up resources for exception management and other high-value activities.
By 2024, banking is expected to be one of the top industries spending on artificial intelligence. In this session we’ll discuss how retail banks can automate, manage, and monitor between 300 and 800 back-offices processes, such as:
Securing loan operations to limit and maximize calculated risk
Automating accounting processes to diminish errors and detect anomalies
Ensuring adherence to auditing and compliance procedures
Amplifying human resources output from hiring and beyond
Call Center (Customer Service) Process Automation
These processes often involve time-consuming and redundant manual tasks. Neudesic’s Document Intelligence Platform (DIP) has helped several banks turn unstructured data into actionable insights for solving business process optimization problems. DIP is built for enterprise scale, supporting, training by process SMEs, optimize model management, and easily integrate with LOB apps and processes.
Agenda
Intros & Welcome
Keynote - Microsoft AI
Open AI Deep Dive & Use Cases
AI in Banking
Document Intelligence Platform in Banking & Art of the Possible with OpenAI
Q&A - Banking and AI Subject Matter Panel
Event Closes
Speakers
Steve Tetrault
VP of Strategic Growth,
Financial Services,
Neudesic, an IBM Company
Johanson Sandrasagra
Sr. Azure Data & AI Specialist, Strategic Banking
Microsoft
Neta Haiby
Head of Product, Azure AI
Microsoft
Charles Morris
Chief Data Scientist,
Financial Services,
Microsoft
Contact us
Questions?
Contact: Rachael Goodrich
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