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What can AI and generative AI do for governments?

IBM Big Data Hub

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

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

IBM Big Data Hub

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. AI governance: From principles to actions. Sometimes an organization’s need is more tied to organizational AI governance.

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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

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GUEST ESSAY: 5 security steps all companies should adopt from the Intelligence Community

The Last Watchdog

Businesses at large would do well to model their data collection and security processes after what the IC refers to as the “intelligence cycle.” This cycle takes a holistic approach to detecting and deterring external threats and enforcing best-of-class data governance procedures. infrastructure from cyber attacks.

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China: Navigating China episode 16: New data lifecycle guidelines for financial institutions in China – detailed assessments, additional security measures and some data localisation introduced

DLA Piper Privacy Matters

This introduces a data lifecycle security framework, and represents the key guideline for handling personal and other financial information by financial institutions (i.e. similar to the PIS Specification, but focused on the banking and financial services industry). Level 1: public data.

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Indonesia Publishes Proposed Data Protection Rule

Hunton Privacy

On July 14, 2015, pursuant to an implementation requirement of Government Regulation 82 of 2012, the Indonesian government published the Draft Regulation of the Minister of Communication and Information (RPM) of the Protection of Personal Data in Electronic Systems (“Proposed Regulation”). 82 of 2012.

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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

We have summarised the key compliance obligations under the PIPL below, with new obligations in bold for ease of reference: Relevant Laws/Regulations The PIPL becomes the primary, national-level law governing processing of personal information, but does not replace the existing data privacy framework.