Technology - Virtual Roundtable

Build next-generation data platforms to deliver data at the speed of digital

7th April 2021 | 1:00pm - 2:30pm EST
How do you build the right data foundation to accelerate digital transformation?

The ability to act on data-based insights in real-time has never been more critical than it is now. Over the past six months, the IBM Institute for Business Value report COVID-19 and the Future of Business report found that 59% of companies have accelerated digital transformation. The pandemic revealed new use cases for employing data and accelerated digital transformation.

Companies aspiring a digital-first enterprise strategy requires a data-first approach. The existing data architecture does not support businesses’ high ambitions for accelerating digital innovation. Despite significant investments in enterprise data, most organizations struggle to integrate siloed and outdated warehouses or data marts. Businesses are also unable to effectively unify vast amounts of semi and unstructured data not historically used. According to IBM – Cognitive Enterprise Study, less than 4 in 10 organizations (40%) integrated their data across the enterprise. A modern data architecture underpinned by ‘data platform’ approach helps orchestrate large sets of data in a hybrid cloud environment.

Join IBM and a select group of industry experts to discuss how to unlock the strategic value of enterprise data to define data for digital, operational, analytical, data science and AI.

Discussion Topics

Is your existing data infrastructure flexible, robust, or scalable enough to accelerate digital transformation?
Do you use data and predictive models to predict and react to business problems and opportunities?
Do you have multiple data environments today? Is it causing you unnecessary expense and poor data quality?

Your Host

Thought Leader
Tony Giordano Senior Partner Global Practice Leader, Data Platform Services, IBM
Tony has more than 25 years of global professional services experience in performance marketing, big data… Find out more
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