data cleansing Archives - Compliance Podcast Network

The COVID-19 pandemic has significantly changed how businesses operate, with remote work becoming the new norm. This shift has highlighted the crucial role of data and data analytics in compliance across various industries. Regulators now emphasize not only the need for access to data but also its utilization in a way that promotes continuous improvement. One of the key challenges compliance teams face in this new era is the vast amount of data generated by remote work. Communication channels like email and text messages and collaboration platforms like Slack and Zoom have become essential for remote collaboration. However, this explosion of data presents compliance officers with the task of proactively monitoring and understanding unstructured data to uncover hidden risks.

AI-powered data cleansing capabilities have been developed to address this challenge. These capabilities sift through content and focus on relevant and risky information while minimizing false positives. Compliance teams can efficiently concentrate on potentially dangerous content by removing duplicative content, obvious junk, and non-human-generated text. This targeted approach significantly reduces false-positives in the alerts generated by the system.

COVID-19 brought about changes that are still felt today in the business world. Some changes were temporary, but some have become permanent, and remote work is one of them. It is here to stay. The change has underscored the importance of AI and data in compliance across various industries. The shift to remote work has resulted in increased data that compliance teams must proactively monitor. AI-powered data cleansing capabilities help sift through content and focus on relevant and risky information, while AI algorithms and machine learning models aid in risk detection. By leveraging AI and data, compliance teams can enhance their prevention, detection, and remediation efforts, ultimately promoting a culture of ethical behavior and ensuring compliance with data protection laws.

Three key takeaways:

The pandemic changed the corporate world in many ways. One of the permanent ones was moving to remote work.
Remote work generates much more data because messaging apps and online communication tools require new and innovative compliance solutions.
AI and data-driven compliance around data generated from remote work can move a company from detection to prevention.

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Data Driven Compliance – AI Tech for Data Compliance, Part 1

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode The intersection of law, compliance, and data is becoming increasingly important in the world of cross-border transactions and mergers and acquisitions.

Data compliance risks are a major concern for organizations of all sizes as data collection and storage grows. A key is to prevent these risks by detecting misconduct before it occurs. AI technology is used to pinpoint risk and misconduct, providing context to alerts. Searching unstructured data is a critical process for organizations to identify and mitigate hidden risks, and the right technology is necessary to incorporate multiple file types and data sources. By equipping with the right processes and technology, organizations can proactively look for hidden risks and take preventative steps to ensure compliance.

Data has become much more ubiquitous and needs to be incorporated into business processes. AI data cleansing helps to reduce false positives and provides context to alerts generated by the system. AI capabilities are divided into three categories: removing duplicative content, detecting risk, and providing context. AI-powered data cleansing strips out non-human generated content and focuses on what was sent by an individual. This helps to lower false positives in alerts generated by the system.

Regulators are now focusing on prevention as part of best practices compliance programs. A key is to prevent misconduct before it occurs by setting expectations that this behavior is not tolerated in the organization. Compliance teams can quickly take action and remediate activity when an incident is found. Consistent approach by compliance teams in quickly remediating bad behavior creates a culture where misconduct is not tolerated.

Unstructured data is data that doesn’t have a hierarchy associated with it, such as Word documents, emails, and text messages. Your app built on unstructured data analytics problems, such as responding to government requests, cyber breach response, and compliance monitoring. Organizations should have processes in place to proactively look for hidden risks. Technology is needed to search through unstructured data to find hidden risks.

Key Highlights

· Data Compliance Risks

· Data Cleansing Importance

· Preventing Misconduct

· Detecting Risk with AI

· Searching Unstructured Data

Resources:

Tom Fox

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