Meet the First Ever Zero Data AI
AI shouldn’t be a burden. It shouldn’t take years to implement. It shouldn’t be a high-risk, low-return investment. And yet, until now, AI’s promise couldn’t be further from reality. Consider the numbers: 90% of AI pilots fail to move into production in a reasonable timeframe due to data quality, integration and/or governance barriers. And those […]
IDC MarketScape for B2C CDPs
When it comes to evaluating technology vendors, IDC MarketScape is a go-to resource for organizations seeking clarity in an increasingly complex landscape. It breaks down vendor strengths and challenges, offering detailed assessments that help business and IT leaders make confident, strategic tech investments. In the world of customer data platforms (CDPs), these decisions have never […]
Get More From Your Lakehouse
WEBINAR Inside the Composable Stack:Get More From Your Lakehouse Query Federation, Zero ETL, Reverse ETL, Zero Copy, Data Sharing… with so many solutions claiming to be composable, how do you find the one that will help you get more value from your data lakehouse? Hear from experts from Databricks and Merkle as they dig into […]
How Autodesk Aligned Marketing, Sales & Tech Around Their Data
In this conversation, hear how leading software brand Autodesk pulled the right levers across data, marketing and technology to optimize their hierarchical B2B model, deploy impactful lifecycle marketing use cases from acquisition to winback and drive impressive revenue metrics.
How HP Lowers Spend and Increases Conversion With a New Kind of Stack
WEBINAR How HP Lowers Spend and Increases Conversion With a New Kind of Stack The deprecation of third-party cookies led technology brand HP to rethink its approach to targeting and acquiring new customers. HP needed to operationalize the first-party data set in its data lake and translate it into an acquisition engine with offers for […]
Future-Proof Your Customer Data Strategy with a Lakehouse-First Approach
Hear how leading global retailer Skechers’ data team solved challenges using a flexible and scalable toolset plus a data lakehouse to unify, stitch, and maintain a massive amount of customer data.