IAPP PSR 2024

IAPP’s Privacy. Security. Risk. Conference

Privacy Analytics will be exhibiting (booth #419) at IAPP’s Privacy. Security. Risk. Conference September 23-24, 2024 in Los Angeles.

Drop by our booth #419

Date of Event: September 23, 2024

Location: Los Angeles, California

Privacy Analytics will be exhibiting (booth #419) at IAPP’s Privacy. Security. Risk. Conference September 23-24, 2024 in Los Angeles.

From IAPP PSR’s website:

P.S.R. casts a technically savvy eye on privacy and AI issues.

IAPP Privacy. Security. Risk. is the premier event focused on technology’s potential to solve privacy challenges — and how to respond when technology causes the challenges.

P.S.R. 2024 is two days of keynote speakers, breakout sessions and networking opportunities. Come to the event for practical solutions, operational insights, and to connect with peers and experts ready to share their experiences. You can also add career-advancing learning to your schedule with training and workshops in the two days preceding the event.

Breakout sessions will cover topics including:

  • AI governance by design.
  • Implementing privacy-enhancing technologies.
  • Managing the risk of large language models and generative AI.
  • AI governance programs that support business needs.
  • Proactive strategies for managing supplier risks and shortening procurement cycles.

Event registration is now closed.

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...

OUR SOLUTION

Value Retention

Client Success

Client: Comcast

Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.

Evaluating

Are you achieving intended outcomes from data?

Your Challenge

Do you need help...

OUR SOLUTION

Unbiased Results

Client Success

Client: Integrate.ai

Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.

Accessing

Do the right people have the right data?

Your Challenges

Do you need help...

OUR SOLUTION

Usable and Reusable Data

Client Success

Client: Novartis

Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.

 

Maintaining

Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...

OUR SOLUTION

Security / compliance efficiency

CLIENT SUCCESS

Client: ASCO’s CancerLinQ

Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.

 

Acquiring / Collecting

Are you acquiring the right data? Do you have appropriate consent?

Your Challenge

Do you need help...

OUR SOLUTIONS

Consent / Contracting strategy

Client Success

Client: IQVIA

Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR. 

 

Planning

Are You Effectively Planning for Success?

Your Challenges

Do you need help...

OUR SOLUTION

Build privacy in by design

Client Success

Client: Nuance

Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.

 

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