Sanjay Bhakta details Condé Nast's complete digital reinvention by migrating 800+ properties to AWS infrastructure with partners like Databricks and Snowplow, transforming from data-rich/insights-poor to cloud-native, personalized content delivery.

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In the competitive gaming industry, understanding player behavior is key to delivering engaging experiences. Supercell, creators of Clash of Clans and Brawl Stars, faced challenges with fragmented data and limited visibility into user journeys. To address this, they partnered with Snowplow and Databricks to build a scalable, privacy-compliant data platform for real-time insights. By leveraging Snowplow’s behavioral data collection and Databricks’ Lakehouse architecture, Supercell achieved: Cross-platform data unification: A unified view of player actions across web, mobile and in-game Real-time analytics: Streaming event data into Delta Lake for dynamic game balancing and engagement Scalable infrastructure: Supporting terabytes of data during launches and live events AI & ML use cases: Churn prediction and personalized in-game recommendations This session explores Supercell’s data journey and AI-driven player engagement strategies.

The web is on the verge of a major shift. Agentic applications will redefine how customers engage with digital experiences—delivering highly personalized, relevant interactions. In this talk, Snowplow CTO Yali Sassoon explores how Snowplow Signals enables agents to perceive users through short- and long-term memory, natively on the Databricks Data Intelligence Platform.

The digital marketing and advertising industry is going through revolutionary change in 2023, with technical, organisational, cultural and regulatory overhaul. As a result, measuring digital advertising effectiveness or coordinating and running highly targeted and effective ad campaigns is becoming more challenging than ever.

First party customer behavioral data provides organizations true competitive advantage and the ability outperform your peers in the battle for customer attention and brand loyalty.

However, first party customer data is still used sparingly across the digital ad ecosystem, and there are few tools or frameworks to allow advertisers to unlock the value in what first party data they have.

This session will show you how Snowplow allows organizations to deeply understand their users' behavior and intent by creating the best quality behavioral data. It will also explain that when this is combined with the Databricks Lakehouse and data clean rooms, brands can now unlock insights that were previously unachievable, and activate their first party customer behavioral data into highly effective, personalized and creative ad campaigns.

In this session you will learn: - Why first party data can be the ultimate in competitive advantage for digital advertisers - How data clean rooms combined with Snowplow behavioral data enable better insights and more impactful ad targeting - What specific marketing and advertising use cases are possible when utilizing a data clean room on top of the Databricks Lakehouse

Talk by: Jordan Peck

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In today's highly competitive market, personalized experiences are the key to winning customer engagement and loyalty. But how can you deliver these experiences at scale? The answer lies in a single unified view of your customers, powered by rich first-party customer data. With complete 360 visibility into your customer's journey, you can predict their next best action and deliver the most relevant experience based on their unique needs and behaviors.

Join this session to learn how to unlock the full potential of your first-party customer data by empowering your data team to collaborate seamlessly with your marketing team by removing technology barriers. Learn how to create a data-driven next-best action (NBA) strategy by building solutions that will set you apart in the competitive landscape and captivate your customers at every touchpoint. In this session, you'll discover: - The critical importance of personalized experiences in today's hyper-competitive market Proven strategies for building a data-driven NBA approach that drives results - See a live demo of how Snowplow and Databricks can be combined to produce powerful ML models for NBA revolutionizing your customer data strategy - Best practices for fostering strong collaboration between marketing and data teams to achieve business outcomes and deliver next-gen customer experiences

Don't miss out on this opportunity to unlock the full potential of your first-party customer data and revolutionize your customer engagement strategy.

Talk by: Yali Sassoon

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AI is central to unlocking competitive advantage. However data science teams don’t have access to a consistent level of high-quality data required to build AI & ML data applications.

Instead data scientists spend 80% of their time collecting, cleaning & preparing the data for analysis rather than building AI-data applications.

During this talk Snowplow introduces the concept of data creation. Create & deploy high-quality & predictive behavioral data in real-time to Databricks.

Learn how being equipped with AI-ready data in Databricks allows data science teams to focus on building AI data applications rather than data wrangling—dramatically accelerating the pace of data projects & improving model performance & managing data governance. - How to execute more AI & data intensive applications in production using Databricks & Snowplow - How to execute on each AI & data intensive application faster thanks to pre-validated & predictive data - How data creation can solve for data governance

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