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Managing risk in machine learning

O'Reilly on Data

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data.

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Of course, there is also the risk that customers may forget about appointments, which leads to lost revenue. Fortunately, big data can minimize the cost of appointment errors. New scheduling tools use big data to address these types of challenges. New scheduling tools use big data to address these types of challenges.

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Automate Your Yardi Real Estate Data Collection and Management

Jet Global

From managing financial statements, signage, storage space, office space floors, and land, real estate financial professionals manage many of their businesses’ most critical moving parts. When the time comes for month-end reporting, ERPs like Yardi manage and compartmentalize data with out of the box reports.

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Mobile Data Collection: What it is and what it can do

FineReport

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

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Ways in Which AI can Improve Enterprise Risk Management

bridgei2i

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Regular saving of work and plans for the systematic backing up of data should be part of the workflow procedures of any enterprise. However, enterprises should be prepared for the worst-case scenario, such as a catastrophic network failure, which can cause the entire data collection of a company to disappear completely.

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