Unlock customer insights & banking innovation with AI/ML

Overview

Understanding customer relationships isn't just a plus; it's essential especially in industries like banking, where customers engage with the bank across various channels and for diverse needs. As banking customers register as independent entities, whether individuals or organizations, they form intricate networks within larger organizational structures. This interconnectivity presents a goldmine of opportunities for banks to enhance customer experiences, innovate new services, and strengthen risk management and compliance measures.

However, unlocking these opportunities requires a robust solution that harnesses high-quality customer and transactional data.Join us as we delve deeper into the power of data-driven insights in transforming banking experiences.

Key Takeaways

Unlocking opportunities through high-quality data:
Delve into the significance of integrating high-quality customer and transactional data from diverse sources, including customer registrations and core banking platforms.
Empowering data science for innovation:
Explore how banks can drive innovation through data monetization by empowering data science teams with infrastructure to access and assess high-quality data.
Personalization through relationship spectrum:
Learn how leveraging diverse categories of relationships enables banks to respond to customer needs swiftly, identify emerging trends, and mitigate risks promptly.

Agenda

9:30AM - 11:30AM

Auditorium

Welcome Speech and Introduction

Laura Laurati - CTO, Head of Coding

11:30AM - 1:30PM

Auditorium

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Sarah Skedul - Founder of Druugle AG

2:00PM - 4:30PM

Room R4.02

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Ergi Kayote - CCO, Actionkraft

Our Speakers

Dr. Deepti Soni

Director, Analytics, AI, and Data Sciences

Dr. Deepti Soni is our Analytics, AI, and Data Sciences Director, overseeing all aspects of data science strategy, implementations, partnerships, and team management. She specializes in crafting innovative analytical solutions to address strategic business challenges. She fosters a collaborative environment, encouraging cross-functional teams to effectively leverage AI/ML capabilities to address complex business and data challenges, prioritizing a robust data foundation for innovations. With a wealth of experience in the field, Dr. Deepti has led numerous successful data science projects, leveraging advanced analytics, machine learning, AI, Generative AI, and knowledge graphs. Her expertise enables clients to realize returns on their investments swiftly.

Upasana Pandey

Data Science Specialist

Upasana is a passionate and result-driven Data science specialist at Mastech Infotrellis with hands-on experience in Data Analytics, Artificial intelligence, and Machine learning. From working on complex datasets to implementing cutting-edge solutions, she has worked on various projects that leverage data-driven insights to fuel strategic decision-making and drive business success. She also specializes in graph database technologies and has a comprehensive understanding of designing graph-based solutions in the Data science domain. With a keen eye for detail and a passion for problem-solving, she specializes in transforming raw data into actionable insights.