Mazen G. Baroudi’s Post

Check out this interesting conversation between my EY colleague, Traci Gusher, and the SVP of Data Commercialization & Advanced Analytics at McKesson Compile. They discuss how the organization is able to safely leverage #AI for innovation while protecting patient #data in CDO Magazine:

GenAI can revolutionize processes, but healthcare organizations must tackle its data privacy and data accuracy issues first. Learn how healthcare organizations can mitigate these risks by adopting robust data governance and effective AI models.

BSI’s International AI Maturity Model was developed to assess readiness for advanced AI adoption. Healthcare scored lowest in terms of maturity over seven sectors, with ethical concerns, privacy issues and a significant lack of trust slowing the adoption process. JPSys can help your healthcare organization with an AI Roadmap and AI Governance. #AIGovernance https://lnkd.in/eJa2pv5B

I'm excited to say I've written my first post in Light-it's blog: "AI Governance in Healthcare: Ensuring Data Privacy and Algorithm Transparency". 🌟 The blog post highlights best practices for ensuring data privacy and algorithm transparency in #healthcare when using AI. 🤖 🔗 Check it out here: https://lnkd.in/eJJCg8pD #AI #HealthTech

Oli joined our team a bit more than a month ago as a Trainee AI Engineer, and she's already brought so much value to our Innovation Lab! 🌐 Check out her blog post to know more about the responsible regulation of #AI in healthcare. 👇 #AIGovernance #DigitalHealth

Addressing Trust and Privacy Concerns to Support Full-Scale AI Adoption in Healthcare - HealthTech Magazine Title: Addressing Trust and Privacy Concerns for AI Adoption in Healthcare #Trust and Privacy Concerns in Healthcare AI Healthcare organizations must address trust and privacy concerns when adopting AI technologies to ensure patient data security and build confidence in AI systems. #Transparency and Explainability Transparency and explainability are essential for healthcare AI systems to gain trust from both clinicians and patients, allowing for better understanding of AI-driven decisions. #Data Security and Compliance Ensuring data security and compliance with regulations such as HIPAA is crucial for healthcare organizations to protect patient information when implementing AI technologies. #Ethical Use of AI in Healthcare Healthcare IT professionals must prioritize ethical considerations when developing and deploying AI solutions to avoid bias and ensure fair and equitable outcomes ai.mediformatica.com #healthtech #healthcare #data #trust #privacy #scale #this #model #progre #advanced #investment #trueai #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3BZmhtj)

Ready to understand the complex landscape of data privacy in AI? Our upcoming webinar will delve into the importance of enterprise data privacy in AI with industry leaders, including: Allie K. Miller: #1 Most Followed Voice in AI Business David Tsao Insta: CISO at Instacart George Mathew: Managing Director at Insight Partners, AI Investor Ian Coe: CEO and Co-Founder of Tonic.ai Don’t miss this unique opportunity to gain valuable knowledge from industry leaders and enhance your data protection strategies. https://lnkd.in/eRnvtJka #DataPrivacy #AI #EnterpriseAI #DataSecurity

🤔Curious about McKesson's approach to leveraging high-fidelity patient data while ensuring privacy? 🔐 Kirby Forlin, SVP, Data Commercialization & Advanced Analytics at McKesson, speaks with Traci Gusher, EY Americas AI and Data Leader, in a video interview about how McKesson Compile is staying ahead in the data and AI race, prioritizing use cases for the organization, and balancing regulations with innovation. Forlin emphasizes that McKesson dedicates significant time to understanding the needs of its biopharma services customers, who often have innovative ideas for leveraging AI. She notes that the approach involves identifying customers’ problems and determining which assets McKesson can provide to address those specific use cases. 👉 WATCH the interview here: https://hubs.ly/Q02PFYsz0 You can also find this episode on our podcast page! 🎧 LISTEN here - https://hubs.ly/Q02PG0gT0 #ArtficialIntelligence #datamanagement #analytics #AIreadiness Did you find this post relevant? Like it, share your views with the interviewee, and tag others who can benefit from it in the comments.👍🗨️

💡 Did you know that the biggest barrier to AI innovation might just be... transparency? Discover how establishing trust over AI’s data privacy and governance bridges the gap between workers and customers, propelling the tech industry into an innovative future. 🔎 More via Fortune https://bit.ly/43l9sU5 #AI #DataPrivacy

Rethinking ‘Boring’ Business Data in the Age of AI and Data Privacy: Data drives business success and is critical for business operations. Building trust around its use has never been more important. The post Rethinking ‘Boring’ Business Data in the Age of AI and Data Privacy appeared first on RTInsights.