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 Artificial Intelligence

Data Detect’s Responsible Artificial Intelligence

Responsible AI is used to automate data discovery, classification, and lineage.  It provides a holistic map of the data landscape, offering organizations total data accessibility and visibility.  AI-powered insights enable informed decision-making for effective data management.

We never expose your data to AI, we take full advantage of AI with no risk of exposure.

 

Zantaz Data Optimization’s artificial intelligence plays a significant role in improving the efficiency and effectiveness of Data Governance by automating repetitive tasks, reducing the risk of human error, and enabling your organization to make data-driven decisions.  Data Optimization’s artificial intelligence [AI] is used for Data Governance in several ways:
 

  1. Data Classification:  Our AI algorithms help classify data into different categories based on their content and sensitivity, making it easier to enforce Data Governance policies.
     

  2. Data Quality Control:  Our AI algorithms are used to detect and correct data anomalies, ensuring the quality and consistency of data across your organization.
     

  3. Data Privacy Protection: Our AI algorithms detect and prevent unauthorized access to or usage of sensitive data, ensuring the privacy and security of personal information.
     

  4. Data Retention and Deletion:  Our AI algorithms help automate data retention and deletion policies, ensuring that data is kept for only as long as necessary and deleted when it is no longer required.

Your organization can leverage Zantaz Data Optimization’s artificial intelligence in several ways, including:

  1. Data Policy Determination:  The human-augmented AI can assist in determining critical data policies.
     

  2. Compliance Monitoring:  The AI can analyze data usage and behavior patterns to identify potential compliance issues.
     

  3. Improved Data Policy Enforcement:  The human-augmented AI allows humans to provide feedback and corrections to the system, improving the enforcement of data policies.
     

  4. Automation and Data-Driven Decision-Making:  Zantaz's AI plays a significant role in automating repetitive tasks, reducing the risk of human error, and enabling data-driven decision-making.

Lawyers can utilize our Data Insight's artificial intelligence in several ways, including:

  1. Legal Research:  The AI assists in legal research by providing quick and accurate information, reducing the time spent on manual research.

  2. Contract Review:  The AI helps lawyers review and analyze contracts, reducing the time spent on manual review.

  3. Predictive Coding:  The AI helps in document review and classification, reducing the workload of lawyers.

  4. Case prediction:  The AI helps predict outcomes of cases based on previous case data and court decisions.

  5. Chatbots:  The AI chatbots assist lawyers in answering frequently asked questions, freeing up their time to focus on more complex tasks.

Data Optimization
utilizes AI to detect and clean unstructured data, identify sensitive data types, and move data to secure repositories.

AI Data Connection
AI enables seamless data capture, transformation, and mobility within a single application.  It facilitates data consolidation, digital transformation, and cloud adoption by connecting and capturing data from any source and sending it to any destination.
 

Zantaz Storage Optimization Calculator
AI is employed to assess data storage usage, estimate storage costs, and provide insights into potential cost savings.  By optimizing data storage usage through AI-powered analysis, organizations can reduce costs effectively.
 

Data Drop
AI simplifies data transfer, enhances security, and tracks activities within legal workflows.  It streamlines data transfer for legal teams, centralizes discovery data, and integrates with Discovery applications, improving efficiency and making data sharing effortless.

Building with Responsible AI

Data Optimization provides your organization with a comprehensive set of features and benefits for responsible AI implementation.

From holistic data understanding to bias detection and mitigation, representativeness and fairness, data quality assurance, adaptability, compliance, security, decision-making, cost optimization, and future-proofing, Data Optimization empowers your organization to unlock the full potential of its data while upholding responsible and ethical AI practices.
 

  1. Enhanced Compliance and Ethical AI Practices: Ensure Regulatory and Ethical Compliance
    AI Data Processing provides your organization with a comprehensive solution to meet regulatory and ethical requirements in AI implementation.  By incorporating diverse data sources and applying responsible AI practices, your organization can demonstrate compliance with data protection regulations, privacy laws, and industry standards.  AI Data Processing facilitates transparency, auditability, and documentation of AI processes, enabling your organization to uphold ethical AI practices and gain stakeholders’ trust.
     

  2. Streamlined Data Governance and Security: Centralize and Secure Your Data Assets
    AI Data Processing offers robust Data Governance and security features to centralize and secure data assets. With capabilities such as data connectivity, access controls, encryption, and regular security audits, your organization can ensure the confidentiality, integrity, and availability of its data.  AI Data Processing helps mitigate risks associated with unauthorized access, data breaches, and data loss, providing a secure foundation for responsible AI implementation.
     

  3. Improved Decision-Making and Insights: Leverage Data for Enhanced Decision-Making
    By utilizing AI Data Processing’s features, your organization can harness the power of its data for improved decision-making.  AI Data Processing enables data consolidation, cleansing, reduction, classification, and access, providing valuable insights and analytics capabilities.  With enhanced data visibility and accessibility, your organization can make informed decisions, identify patterns and trends, and drive innovation, ultimately gaining a competitive edge.
     

  4. Cost Optimization and Efficiency: Optimize Data Storage and Reduce Costs
    AI Data Processing helps your organization optimize data storage usage and reduce costs.  With features such as the Zantaz ROI Calculator and Smart Archiving, your organization can efficiently manage data storage resources, identify redundant or obsolete data, and implement cost-effective archival strategies.  By maximizing data storage efficiency, your organization can significantly decrease storage costs and allocate resources more effectively for other critical business needs.
     

  5. Future-Proofing and Innovation: Embrace AI as a Strategic Asset
    AI Data Processing empowers your organization to future-proof its AI initiatives and embrace AI as a strategic asset.  By enabling customization, adaptability, and scalability, your organization can stay ahead of evolving technologies, data sources, and market demands.  AI Data Processing facilitates continuous improvement, innovation, and the integration of responsible AI practices into your organization’s long-term strategy, ensuring sustained success in the digital age.

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