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Today companies have lots of data stored in data lakes, data warehouses, databases both on-premises as well as in the multicloud. Lower data storage costs have enabled organizations to collect large amounts of data about their customers, employees, vendors, and hold on to it for longer periods of time so they can analyze data to offer better and more targeted products.
Recent studies such as the one from Deloitte suggest 43% of respondents agreed or strongly agreed that their concern about data privacy has increased from earlier this year. While organizations are acutely aware of the benefits of incorporating privacy into their products, many aren’t familiar on how and where to start. Often, the burden of implementing privacy falls on data governance or information security teams that address privacy requests on an on-going and ad-hoc basis which makes it difficult to scale privacy functions and claim a competitive edge.
Join Srinivas Avasarala, VP Product Management at SECURITI.ai as he discuss how organizations can automate & scale their privacy functions using modern tools & technologies available today.
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