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The synergy between UEM and medical device risk management

IBM Big Data Hub

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

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? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

When it comes to structural risks you can ignore them as well, but you can’t make them go away by doing so and will be blamed if they’re “realized” (the risk-management term for “becoming real”). Rationalizing the applications portfolio reduces the odds of these risks being realized.

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How to build a successful risk mitigation strategy

IBM Big Data Hub

The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events. Contingency plans should be in place if something drastic changes or risk events occur.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

But these measures alone may not be sufficient to protect proprietary information. The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” proprietary data, business strategies, methodologies, etc.

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Taking a Multi-Tiered Approach to Model Risk Management and Risk

DataRobot Blog

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Enterprise Ready AI: Managing Governance and Risk.

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Back to the Financial Regulatory Future

Cloudera

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.