In an era where data-driven strategies are pivotal for competitive edge, leveraging AI has become a quintessential milestone. However, the readiness of your data for such advanced technologies is a crucial question. AI's promise for business transformation is alluring, yet achieving this potential is often hindered by significant challenges, including issues related to data quality, privacy, and governance.

Recognizing that data acts as the cornerstone for AI, supplying the essential input for machine learning and decision-making, the importance of managing it with precision cannot be overstated. Diverse, high-quality datasets empower AI systems to identify patterns, forecast outcomes, and enhance their accuracy overtime. The absence of robust data compromises the functionality and efficiency of AI, thereby restricting its capability to drive innovation and tackle complex challenges across various sectors.

Sensitive information, encompassing personal details like names, faces, geo-spatial data and financial or health records, demands meticulous handling to prevent security risks and privacy infringements. Informatica underscores the importance of data management to safeguard the responsible use of data in AI, emphasizing the need for data to be:

  • Accurate: Mistakes in data lead to flawed models and unreliable results.
  • Complete: Missing data can limit the model's understanding and capabilities.
  • Clean: Biases and inconsistencies in data can lead to discriminatory or inaccurate outputs.
  • Accessible: The right data needs to be readily available for training and inference.
  • Secure: Exposure of personal data can lead to a regulatory action and reputational issues.

The complexity of managing expansive data access and mounting governance concerns can be daunting for many organizations. Informatica invites you to an exclusive workshop aimed at demystifying these challenges and reinstating control over your data landscape.

This enlightening session will cover:

  • The unseen implications and hazards of ad-hoc or unregulated data access.
  • How Informatica's Data Access Management solution can streamline your practices by:
    • Implementing uniform attribute-based access controls.
    • Automating routine tasks to enhance efficiency.
    • Gain real-time visibility into user activity and data flows.
    • Simplify compliance with industry regulations and internal policies.
    • Reduce security risks and potential data breaches.

Attendees will also benefit from:

  • Insightful case studies demonstrating how organizations are using Informatica to overcome their data access management challenges
  • Strategies for navigating the complexities of regulatory compliance, fraud prevention, and data privacy.
  • A live Q&A segment with Informatica specialists ready to address your specific questions.

Why attend?

  • Acquire actionable intelligence to bolster your data privacy, security, and operational efficiency.
  • Explore how Informatica's solution can fulfill your data management aspirations.
  • Direct access to industry veterans for advice tailored to your needs.

By prioritizing data governance for AI, we can ensure that AI benefits society while respecting individual rights and freedoms.

Don't miss this opportunity to secure your data and optimize for data innovation! Register today!

Date: 20th March 2024
Time: 09:30 – 11:00 GMT
Location: Microsoft Teams
Register Now!
Complete this form to register for Virtual CDAM Workshop "Demystifying Data Access: A Roadmap to Secure and Efficient Data Management with Informatica"

See the Informatica privacy policy for details on how we collect, use, and share information about you.

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