Session Details
Home-based care leaders are excited about the possibilities AI could bring to their organizations, from easing administrative work to helping teams make better-informed decisions. But knowing where to start and how to move forward responsibly can be harder, especially when questions arise about data security, privacy, model training, and human oversight.
In this practical session, Naomi Goldapple, SVP of Data and Intelligence at AlayaCare, will demystify AI governance and show what responsible adoption looks like. We’ll explore the policies, roles, safeguards, and review processes that help organizations evaluate AI use cases, protect sensitive information, maintain human accountability, and build trust over time. You’ll also get a closer look at how AlayaCare approaches responsible AI in practice, including data protection, model selection, model training, access controls, human oversight, monitoring, and transparency.
What you’ll learn:
- What AI governance includes, and why it is a business responsibility rather than a security-only exercise
- How to identify the risks and controls that matter most for different AI use cases
- Questions to ask about data, model selection, training, privacy, human oversight, and monitoring
- How AlayaCare applies responsible AI principles across its products and internal practices
Whether your organization is exploring its first AI use case or expanding its existing AI strategy, this session will provide a practical starting point for assessing AI and taking your next steps with confidence.
Webinar Speakers
Naomi Goldapple
SVP of Data and Intelligence | AlayaCare
Naomi Goldapple leads a team of data scientists and engineers to leverage emerging technologies and build products that will drive present and future value for AlayaCare users. Naomi is a seasoned data intelligence professional with experience leading innovation teams, specifically in the field of AI and machine learning. Having worked in health tech and home care for the past seven years, Naomi has become recognized as a thought leader on leveraging data for better decision making, creating operational efficiencies, with a goal to helping improve health outcomes for those who wish to recover and age in the place they call home.
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