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IBM Advances Unified Governance, Data Science to Help Manage GDPR Readiness

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by Angela Guess

A new press release reports, “IBM today announced sweeping advances to its data governance and data science initiatives designed to help developers and analysts tap into the power of cognitive computing. Through new solutions and services, organizations will gain greater understanding and control of their data, while facilitating their ability to prepare for rising data regulations, like the European Union’s General Data Protection Regulation (GDPR). As part of the moves, IBM announced new data governance solutions and tools, data science and machine learning advances, and the formation of the Open Data Governance Consortium for Apache Atlas, dedicated to advancing the open framework for data governance. As more developers harness data science and machine learning, they are able to create cognitive applications and services that lead to greater data visibility and deeper insights to make data-driven decisions. IDC predicts that by 2018, 75 percent of all developers will embed cognitive in their applications1 – but as data volumes explode, and data protection regulation mounts, the ability to effectively manage and exploit that data diminishes.”

The release goes on, “For instance, on May 25, 2018, the European Union will put into effect GDPR, a continent-wide set of requirements designed to protect its citizens’ personal information – any data “that can be used to directly or indirectly identify a person,” from a name to a post on social media. Organizations within or outside of Europe, that process or hold such personal data of EU citizens and fail to comply with GDPR could potentially face extremely stiff financial penalties that will range from four percent of the organization’s annual global revenue to 20 million euros. With such profound technical change so imminent, organizations across Europe, and around the world, are reviewing and considering an array of solutions and processes that can help them better handle personal data and meet the requirements.”

Read more at PR Newswire.

Photo credit: IBM

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