It’s Time to Start Adding Intelligence to the Business of Financial Services

Presented by

Jerry Silva, Vice President, IDC Financial Insights, and Jeremiah Morrow, Sr Industry Product Marketing Manager, Vertica

About this talk

Banking and Financial Services executives need to convert the embarrassingly rich amount of data at their disposal into real time insights, for improving the customer experience and maximizing operational efficacy. Yet many business analysts and data scientists in financial services struggle with data silos, outdated infrastructure, and operationalizing artificial intelligence and machine learning. Join Jerry Silva, Vice President for IDC Financial Insights, for a discussion around the industry drivers of transformation, the acceleration of innovation, and some of the structural, organizational, and technical challenges facing financial services firms on their journey towards becoming data-driven and analytically focused. Jerry will provide essential guidance for how organizations can modernize their analytics infrastructure, unify disparate data sources, reduce time to insight, and deploy AI & ML models in production.

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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.