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.

In his keynote talks at the Snowflake and Databricks Summit this year, Jenson Huang, the Founder CEO at NVIDEA, talked at length about how, to compete today, organizations have to build data flywheels: where they take their proprietary business data, use AI on that data to build proprietary intelligence, use that insight to build proprietary products and services that your customers love and use that to create more proprietary data to feed AIs to build more proprietary intelligence and so on.

But what does this mean in practice? Jenson's example of NVIDEA is intriguing - but how can the rest of us build data flywheels in our own organizations? What practical steps can they take?

In this talk, Yali Sassoon, Snowplow cofounder and CPO, will start to answer these questions, drawing on examples from Snowplow customers in retail, media and technology that have successfully built customer data flywheels on top of their proprietary 1st party customer data.

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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As organizations of all sizes continuously look to drive value out of data, the modern data stack has emerged as a clear solution for getting insights into the hands of the organization. With the rapid pace of innovation not slowing down, the tools within the modern data stack have enabled data teams to drive faster insights, collaborate at scale, and democratize data knowledge. However, are tools just enough to drive business value with data?  In the first of our four RADAR 2023 sessions, we look at the key drivers of value within the modern data stack through the minds of Yali Sassoon and Barr Moses.  Yali Sassoon is the Co-Founder and Chief Strategy Officer at Snowplow Analytics, a behavioral data platform that empowers data teams to solve complex data challenges. At Snowplow, Yali gets to combine his love of building things with his fascination of the ways in which people use data to reason. Barr Moses is CEO & Co-Founder of Monte Carlo. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team.  Listen in as Yali and Barr outline how data leaders can drive value creation with data in 2023.

With the increasing rate at which new data tools and platforms are being created, the modern data stack risks becoming just another buzzword data leaders use when talking about how they solve problems.

Alongside the arrival of new data tools is the need for leaders to see beyond just the modern data stack and think deeply about how their data work can align with business outcomes, otherwise, they risk falling behind trying to create value from innovative, but irrelevant technology.

In this episode, Yali Sassoon joins the show to explore what the modern data stack really means, how to rethink the modern data stack in terms of value creation, data collection versus data creation, and the right way businesses should approach data ingestion, and much more.

Yali is the Co-Founder and Chief Strategy Officer at Snowplow Analytics, a behavioral data platform that empowers data teams to solve complex data challenges. Yali is an expert in data with a background in both strategy and operations consulting teaching companies how to use data properly to evolve their operations and improve their results.

How accurate is your data? How accurate is any of our data? If our data is more accurate, will we make better decisions? How MUCH better? Why do the show blurbs of late have so many questions? THAT is a question we can ACCURATELY answer: because the shows grapple with challenging questions! On this episode, Snowplow co-founder Yali Sassoon joined us to chat about the nuts and bolts of data accuracy: the inherent messiness of client-side tracking (but, also, the limitations of server-side tracking), strategies of incrementally improving data accuracy (and the costs therein), and the different types of scenarios where different aspects of data accuracy matter in different ways! Pour yourself a drink (a 2 oz. shot of a fine Scotch will do... which would be 59.1471 ml if you want an accurate and precise metric pour), settle in, and give it a listen! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.