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Is Artificial Intelligence relevant to insurance?

IBM Big Data Hub

That ground-shaking event divided the world with excitement and trepidation about a future with thinking machines. In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. This ability to manipulate attributes and create new examples has added a new dimension to AI—creativity.

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Written IT Security Policies: Why You Need Them & How to Create Them

eSecurity Planet

Many security professionals think that if they have done the hard work of securing their organization, that should be enough. There is, however, a next step: Documenting policies. Written documentation. Written security policies. However, even a handwritten spiral notebook could work for a small organization.

IT 120
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What Is Integrated Risk Management? Definition & Implementation

eSecurity Planet

For example, a clothing brand might select a business objective such as to develop unique and appealing designs. In the examples above, the clothing brand will use traditional and computer-aided design prototyping and marketing research. What objectives deliver maximum value to shareholders?

Risk 64
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How to Develop an Incident Response Plan

eSecurity Planet

We make IT, security, or any business decision by weighing the risks and the rewards. Or as is often the case with security, what costs can we skip and still escape big penalties later? An incident is an event that affects our scope of responsibility, and a response is how we deal with the incident. Yet, it can get worse.

Insurance 122
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Regulatory Update: NAIC Summer 2021 National Meeting

Data Matters

The National Association of Insurance Commissioners (NAIC) held its Summer 2021 National Meeting (Summer Meeting) August 14-17, 2021. Highlights include, among others, adoption of revised risk-based capital bond factors for life insurers, amendments to SSAP No. NAIC Adopts Revised Risk-Based Capital Bond Factors for Life Insurers.

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GDPR Compliance Obligations: The relationship between Data Controllers and Third-Party Processors

AIIM

Mitigate Data Privacy and Security Risks with Machine Learning. The Privacy and Security Dichotomy. For example, under GDPR data subjects and/or regulators may now pursue direct remedies against data processors in the event of infringement of obligations, whereas such remedies did not exist under the prior data privacy regulation.

GDPR 83
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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.

Risk 70