With the advent of AI, our dynamic industry is experiencing the need to capture, integrate and synthesize data to provide elevated solutions for effective decision making. This exposes us to risks in using new technologies -- AI-generated responses, powered by sophisticated algorithms and deep learning capabilities (e.g. Predictive & Generative AI, ChatGPT, Bard, etc.) have become increasingly prevalent. 

While these advancements bring efficiency and productivity gains, if not strategically governed, they also pose risks, including over-automation, unverified findings, cybersecurity vulnerabilities and talent shortages. 

In this context, Intellus activated a Data Integrity Task Force in 2024 to address data quality issues that impact the health insights and analytics industry aligned with the Global Data Quality pledge supported by allied organizations worldwide.

To become a member of the team, email Heidi Boyle.

Task Force Members

Michael Wildt, Owl Solutions
Chelsea Burkey, Newristics
Jerry Arbittier, AOPS
Marco Barcella, BioVid
Bob Birdsell, ESOMAR
Biraj Ganguly, Phronesis Partners
Kendall Gay, MarketVision
Jenn Krol, Astellas
Brian Livell, MedSurvey
Lucas Longacre, Inlightened
Phil Moyer, SERMO
Steve Orlick, GRG Online
Dawn Payne, Novartis
Hiba Raza, Research Partnership 
Estuardo Torres, Astellas