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GRC Governance risk and Compliance for Responsible AI

Home UncategorizedGRC Governance risk and Compliance for Responsible AI
GRC Governance risk and Compliance for Responsible AI

GRC Governance risk and Compliance for Responsible AI

August 20, 2025 Posted by praveen.anan Uncategorized No Comments

🤖 AI innovation cycles are shorter & outpace changes; businesses are constantly adapting to the rapid pace of change. Traditional ways often struggle to keep up, hindering agility and innovation. That’s why the “Just-Enough Governance” concept is gaining traction and is being adopted in the AI GRC programs effectively.

✅ I’m happy to share that I’ve obtained a new certification: GRC Professional Certification from GRC Certify! It’s been a pleasure for me to learn from Scott Mitchell, who coined GRC & a recognized thought leader!

®️ Principled performance provides the framework for stabilizing & integrated approach is the essence of #GRC governance risk compliance.

The certification program provides you with the skills to:
*Drive strategic engagement:* Understand how “Just-Enough Governance” enables faster decision-making and supports business growth.
*Optimize risk:* Learn to identify and mitigate key risks without stifling innovation.
*Enhance collaboration:* Foster a collaborative approach to governance, breaking down silos and promoting cross-functional alignment

✳️ As we transform information into innovation, the path to AI success begins and ends with quality data. Reaching peak performance and developing customer trust are at the core data strategy!

📶 Data-leading companies also experience by Salesforce
41% improvement in time to market
89% improvement in customer acquisition and retention
45% boost in employee retention

⏩ The growth of data itself, and more importantly, the growth in the demand for better decision-making with data, means that a comprehensive data strategy is no longer a nice-to-have. Connected data from feedback interaction, behaviors/attitudes, and operations provides rich 360 customer insights and opportunities to delight.

⁉️ How can we improve the availability, timeliness, and quality of data in that order of priority? Can the next generation of lakehouse or CDPs create capabilities?

🔘 Key metrics could be data quality, data usage, or time to insight.

🔰 Data privacy principles touch upon Lawful bases of processing, customer consent, transparency, limitations, minimization, quality, Safe disclosure and transfer, and Data Security/governance.

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