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Prepare to Privacy-Proof Your AI Technology

Make your privacy program the enabler of your AI projects.

  • The pace set by rapid advancements in technology, and the increased prevalence of AI forces IT and business leaders to engage in a state of constant evolution.
  • Simultaneously, data privacy regulations have become increasingly stringent in an attempt to safeguard personal information from manipulation.
  • AI relies on analysis of large quantities of data, and more often than not involves personal data within the data set, posing an ethical and operational dilemma when considered alongside data privacy law.

Our Advice

Critical Insight

Data privacy first, AI second. Your organization’s internal and external environment impact not only the integration of AI-based technology but govern the approach to data privacy. By understanding your data privacy environment, you lay the foundation for a streamlined AI implementation.

Impact and Result

  • Perspective from a privacy lens on mitigating data privacy risk through IT best practices.
  • Guidance on completion of impact assessments that validate the integration of AI technology within the organization’s environment.
  • Knowledge around core AI vendor solutions that maintain a privacy-first approach based on integration of explainability.
  • Data privacy best practices and how AI technology can support a privacy-proof environment.
  • Understanding of the scope of data privacy regulations within the context of the organization.
  • Comprehensive outlook around data privacy best-practices that enable effective AI integration.

Prepare to Privacy-Proof Your AI Technology

Start here – read the Executive Brief

Learn how to carefully balance the implications of data privacy adherence with adoption of AI technologies to drive efficiencies in the context of your business.

1. Evaluate AI through a data privacy lens

Take a deep dive into AI technologies through the review of ethical AI techniques including Explainability and Differential Privacy, as well as the application of AI in the context of data privacy.

2. Identify the data privacy posture

Evaluate the current state of data governance and data privacy within the business as you prepare to integrate AI technologies.


About Info-Tech

Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.

We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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Get the help you need in this 2-phase advisory process. You'll receive 5 touchpoints with our researchers, all included in your membership.

Guided Implementation #1 - Evaluate AI through a data privacy lens
  • Call #1 - Scope requirements, objectives, and your specific challenges.
  • Call #2 - Discuss AI project pipeline.
  • Call #3 - Review organization’s privacy and AI drivers.

Guided Implementation #2 - Identify the data privacy posture
  • Call #1 - Assess current data governance approach.
  • Call #2 - Review and make modifications to current data privacy program and identify privacy posture.

Search Code: 94965
Published: November 4, 2020
Last Revised: November 4, 2020

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