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Data protection strategy: Key components and best practices

IBM Big Data Hub

In response, many organizations are focusing more on data protection , only to find a lack of formal guidelines and advice. While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy?

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks. We think that businesses have an opportunity to act now to put guardrails in place internally to govern how AI is developed and deployed.

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DCMS Consults on National Data Strategy

Hunton Privacy

On September 10, 2021, the UK Government Department for Digital, Culture, Media & Sport (“DCMS”) launched a consultation on its proposed reforms to the UK data protection regime. Organizations are encouraged to provide input on a range of data protection proposals, some of which are outlined below.

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The 5 top trends for data governance strategies in 2019

Information Management Resources

At the heart of all things data-oriented is the concept of data governance, which calls for proper protocols for data collection, storage, management, security and processing.

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From principles to actions: building a holistic approach to AI governance

IBM Big Data Hub

Add navigating complex compliance regulations and standards to the mix, and the need for a solid and trustworthy AI strategy becomes clear. To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. The principles of AI ethics.

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Why EA Needs to Be Part of Your Digital Transformation Strategy

erwin

Enterprise architecture is invaluable for internal business intelligence (but is rarely used for real intelligence), governance (but often has a very narrow focus), management insights (but doesn’t typically provide useful insights), and transformation and planning (ok, now we have something!). Lack of true asset governance and collaboration.