March 15, 2023 - Hypewired Digital Marketing

Security: Using AI can increase the risk of unauthorized access or manipulation of sensitive information.
Quality: Employing datasets that contain errors, outliers, and missing values could impact the accuracy of results.
Scalability: Utilizing large amounts of data could cause the AI data analysis process to become unstructured and difficult to manage.
Privacy: Ensuring customer data, such as client preferences or financial details, remains private will remain an essential task for human data analysts.
Bias: Utilizing biased algorithms can create results unfairly skewed towards a certain group or groups. Organizations will need to these issues by either reworking existing models or adopting new ones.
Compliance: Using data collection, usage, and storage techniques that do not comply with <a href="https://www.alston.com/en/insights/publications/2022/12/ai-regulation-in-the-us" target="_blank" rel="noopener">federal and state regulations for AI can result in fines or sanctions.

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Over the last decade, real estate data analysis has become one of the most powerful tools for predicting market trends….

March 15, 2023