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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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Embracing new ways of working in financial services

CGI

Embracing new ways of working in financial services. Although the approaches to dealing with the COVID-19 pandemic vary by country, as governments and businesses come to grips with it, one thing is imperative: we will get through this. . The question is how, when disruptions in day-to-day life and business abound.

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Automated governance and trustworthy AI

IBM Big Data Hub

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. As governments recognize and regulate the growing use of AI for crucial decisions, enterprises should prepare proactively. In the U.S.,

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AI Governance: Why our tested framework is essential in an AI world

Collibra

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

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6 best practices for a data governance strategy

Collibra

Data governance is a very intricate field, so implementing and sustaining data governance comes with a suite of challenges. Luckily, thousands, if not millions, of organizations use data governance to improve their operations, so you can learn from others’ mistakes and successes. What are data governance best practices?

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Top 6 Best Practices for Data Governance

Collibra

Data governance is a very intricate field, so implementing and sustaining data governance comes with a suite of challenges. Luckily, thousands, if not millions, of organizations use data governance to improve their operations, so you can learn from others’ mistakes and successes. Operating model example.

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Putting data storage at the forefront of cloud security

IBM Big Data Hub

Securing sensitive data in an evolving landscape Advancements like those in AI and quantum computing can pose new challenges to customers, especially those in highly regulated industries such as financial services, healthcare, telecommunications and more.

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