Today, almost every organization is trying to leverage data for improving its business performance using artificial intelligence (AI) and machine learning (ML) techniques. With large volumes of data being produced and utilized across a wider range of business processes and applications, organizations must be able to effectively manage it to maximize its value throughout its entire lifecycle - from collection and storage, through to usage, archiving, and eventually deletion. While data has the potential to improve the company's revenue, reduce expenses and mitigate risk, Consumers around the world are demanding more protection for their personal information. Ransomware attacks and data breaches are daily occurrences, and the scope of privacy has widened to include how organizations limit the risk of improper use or exposure of personal data. While the demand to remove data once its purpose is fulfilled has been part of GDPR from the beginning, pressure is mounting due to new retention period disclosure rules in the recently adopted CPRA. If organizations can wrest new insights from the data they harvest and process, it can be a valuable business asset, but it has some serious limitations and can become a huge liability if they aren’t ensuring that they are protecting the data to address new privacy mandates, and ideally, to conform to ethical data practices. Join this webcast to learn why its important to transition from being data aware to data intelligent and turn the data liability into opportunity.
Watch this webcast to learn about:
• existing and emerging data protection laws and obligations
• first steps towards data intelligence
• advance your compliance program to the next phase of automation and maturity
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