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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Risk 221
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Website spoofing: risks, threats, and mitigation strategies for CIOs

CIO Business Intelligence

In our rapidly advancing digital era, where our lives seamlessly merge with the vast online realm, the trust we place on websites to safeguard our sensitive data and personal information becomes increasingly critical with every click. One of the most sophisticated and clandestine threats in this landscape is website spoofing.

Risk 103
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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Malicious actors determined that they could craft clever inputs to trick it into doing something unintended, like exposing sensitive database records or deleting information. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data. Remote working has also created greater data security risks. However, for unknown reasons, Facebook did not inform the affected users. Risk assessments. Data backup and encryption.

Risk 126
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How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. He will share compelling stories from customers that have chosen a different path, and best practices for Information Management professionals to help them along their way.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Turning climate risks into business opportunities 

IBM Big Data Hub

As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices. What is climate risk? These risks can make it difficult or impossible for organizations to operate in affected locations.

Risk 66
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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

Your ERM program generally assesses and maintains detailed information related to strategy, operations, and the remediation plans needed to mitigate the impact on the organization. Organize ERM strategy, operations, and data. It is the tangents of this data that are vital to a successful change management process.

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Put Your Data to Work: The Complete Playbook

They rely on data to power products, business insights, and marketing strategy. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.