Webinar: Modern Data Analytics: Solving Business Challenges with Advanced Technologies and Generative AI
Webinar
Modern Data Analytics: Solving Business Challenges with Advanced Technologies and Generative AI
Unlock the Future of Business Intelligence with Cutting-Edge Technology and AI
Join us for an insightful webinar on “Modern Data Analytics: Solving Business Challenges with Advanced Technologies and Generative AI.” Discover how to tackle common issues like data preparation delays, data quality concerns, and data democratization. Our partners from Snowflake and Coalesce will showcase how their innovative solutions can streamline data integration, enhance BI capabilities, and ensure real-time data access while maintaining security compliance.
During the webinar, we will cover the following key topics:
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01
Data Preparation Challenges
Strategies to reduce extended data preparation times and streamline the data integration process.
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02
Data Quality Issues
Solutions to enhance data quality and ensure reliable data for decision-making.
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03
Data Democratization
Approaches to make data more accessible to all business users, enabling self-service BI.
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04
Advanced Technologies for Data Integration
Demonstrations of how modern tools from Snowflake and Coalesce handle complex data integration tasks.
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05
Real-Time Data Access
Methods to provide immediate access to data for timely business insights.
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06
Security and Compliance
Ensuring data security and regulatory compliance in your data analytics practices.
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07
Generative AI in Data Analytics
Insights into how Snowflake Cortex Copilot, powered by large language models, simplifies data analysis and empowers users.
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08
Case Studies and Live Demonstrations
Real-world examples and live demos showcasing the application of these technologies to solve business challenges.
Łukasz Leszewski
Senior Sales Engineer, Snowflake
Łukasz graduated from the Faculty of Production Engineering at Warsaw University of Technology. For over 15 years, he worked at SAS Institute, starting his career in the education department, where he was responsible for training in data quality and data management. He has extensive experience in implementing and designing solutions in the areas of data integration, data cleansing, and Master Data Management, gained through numerous projects.
For over two years, he has been working at Snowflake, a company that offers the world’s leading data warehousing and fast analytical processing engine, where he is responsible for supporting clients in implementing cloud solutions, particularly Data Cloud. Additionally, for many years, he has been a lecturer at the Warsaw School of Economics, where he teaches courses on data quality.

Glen Dawson
Senior Solutions Architect, Coalsesce
Glen is a Senior Solutions Architect at Coalesce.io, based in EMEA. He has over 20 years’ experience working with data, from studying for his degree in I.T. at University, through to his current role at Coalesce.
During his career, Glen has specialized in database development across multiple platforms, including Oracle, SQL Server, Teradata and more recently Snowflake. However, during the last 10 years, he has focused his attention on the Data Warehouse Automation space where he has helped his customers deliver projects in a much faster and far more efficient way.

Piotr Kaźmierczak
Digital Architect, Billennium
Piotr is a Digital Architect at Billennium, specializing in Data and Analytics solutions within the Presales Department. He supports the sales process by providing solution architecture proposals and engaging with customers from the outset. He also helps build and maintain relationships with technology providers, shaping the company’s future development.
With 18 years in the industry, Piotr has a wealth of experience in maintaining, implementing, and designing data processing solutions and platforms. His expertise spans traditional database systems, data warehouses, and Big Data solutions, both on-premises and in the cloud. Working with international teams has given him a broad perspective on customer needs and preferences.
