Adform Tackles the Big Data Challenges of Omnichannel Advertising

Presented by

Dr. Jochen Schlosser, Chief Strategy Officer, Adform | Fouad Teban, Head of Customer Engineering, Vertica

About this talk

Achieving the right balance of Human and Artificial Intelligence, fuelled by Vertica Big Data Analytics Platform By 2025, 463 exabytes will be created every 24 hours worldwide. That means a world of opportunity for advertisers to train algorithms against massive data sets, and use machine learning to find their most lucrative opportunities. Join Dr. Jochen Schlosser, Chief Strategy Officer, Adform to discover how the right balance of Human and Artificial Intelligence – fuelled by a powerful Unified Analytics Warehouse – enables advertisers to serve prospects and customers with tailored offerings. It provides these offers through the appropriate channels, timed to when they are more likely to convert. This combination of Human and Artificial Intelligence helps companies maximize their advertising ROI in an omnichannel world with 3 pillars: Scalability, Relevance and Efficiency.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.