Remove Data mining Remove Risk Remove Risk Management
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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better. Failure or Delay Risk. Failure to deliver goods is one of the most common risks businesses have suffered over the past two years.

Risk 144
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4 Ways Big Data Has Made Bluetooth A Terrifying Security Risk

Smart Data Collective

On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology. Big data has created a number of security risks for Bluetooth users. They need to be aware of how their data is stored and the precautions that they need to take.

Big Data 106
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3 new steps in the data mining process to ensure trustworthy AI

IBM Big Data Hub

To help data scientists reflect and identify possible ethical concerns the standard process for data mining should include 3 additional steps: data risk assessment, model risk assessment and production monitoring. Data risk assessment. Model risk management.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 153
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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Above all, there needs to be a set methodology for data mining, collection, and structure within the organization before data is run through a deep learning algorithm or machine learning. Identifying risks. Bg data has been very responsive in responding to risk management by providing new solutions.

Big Data 122
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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

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Traits AI Startups Seek When Hiring New Employees

Smart Data Collective

As far as Data Analysis is concerned, potential employees should have an extensive knowledge of quantitative research, quantitative reporting, compiling statistics, statistical analysis, data mining, and big data.