The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.
Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.
With the passing of the General Data Protection Regulation on May 25 and the recent controversy of Facebook/Cambridge Analytica, data privacy and governance are more important than ever. Richard Hogg, IBM Global GDPR Evangelist, discusses on IBM's internal journey to GDPR compliance and the risks
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Learn how to leverage a trusted analytics foundation to achieve all your insight-driven goals.
A look into how machine learning and deep learning techniques can impact the way companies implement metadata discovery and business term assignments using the IBM Unified Governance & Integration platform.
There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is
Many large organizations still have a large amounts of data on-premise, but also need data from a public cloud. Regardless of where the data resides, organizations can build a trusted data source from which they can drive key business insights and derive significant sustained advantages. Here's how.