Archives: Agenda

•Learning how to create quality and diverse synthetic data to produce fairer and effective results
•How are you teaching your AI to output data and become more robust?
•Examples of synthetic data implementations to enhance AI and LLMs
•Scope to development and reaching strategy goals

In today’s rapidly evolving digital landscape, Generative AI has gone beyond a mere option to become a competitive necessity. But as organisations develop their innovation maturity and identify their AI use cases, effectively deploying and managing Gen AI demands a multifaceted, integrated approach that encompasses everything from data, compute power and infrastructure, to creating production-ready Gen AI systems. Hear from three partners who can support you across each stage of your journey, from building your infrastructure to generating end-user value.​

Join this roundtable to explore:

• What Intelligent Document Processing is and the role of AI, data privacy, Large Language Models (LLMs), and Intellectual Property (IP) considerations, and discover use cases for automation, handling unstructured documents, and preventing fraud through signature verification.
• How Process Intelligence capabilities can serve the needs of the Financial Services Industry.
• ABBYY’s approach to AI – Purpose built AI and why Process Intelligence is a pivotal role in your AI strategy.

Private Dinner Hosted by ABBYY

This session will address challenges in financial services, such as regulatory pressure, customer expectations, and competition, and highlight trends like Explainable AI (XAI) and responsible AI. It will demonstrate how EdgeVerve’s AI First Platform is designed to tackle these challenges, empowering financial institutions to achieve their transformation goals through

• AI-powered operational efficiency and automation.
• Enhancing customer experience and fraud detection.
• Data-driven risk and innovation decisions
• Customer success stories showcasing the platform’s impact.

Join to understand how the platform’s role as a strategic partner for financial institutions in an AI-driven future.

• Overviewing ethical concerns of implementing LLMs, GenAI, models, transparency, and responsibility
• To what extent is AI considered unethical?
• Exploring the significance of AI safety and tackling risks of hallucinations in ethical audits
• Who has the answer to efficiently showcase emissions, ethics and ESGs reports supported by AI?
• Discussing potential techniques to enhance ethical data analysis and reporting using AI