Archives: Agenda
Agentic AI: The key enabler of insurance business model transformation
- Why Agentic AI is unlike any other form of digital technology
- How can insurers apply it to create new levels of growth and value
- Global best (and worst) practices
PANEL DISCUSSION: AI That Delivers: Real World Automation Gains in Claims & Customer Operations
Where conversational AI and automation have actually reduced cost-to-serve.
Case studies showing measurable gains in claims and customer operations.
How to scale AI safely with governance, transparency, and human oversight, what has changed in workflows, data and proof points from real deployments.
MODERATOR: Cherie Landman, Head of Sales, EMEA, Boost AI
Scaling Accessibility: How One Company Turns Inclusion into Impact – Sponsored by Level Access Inc
- Firsthand insight into Kurtosys’ digital accessibility journey—why they got started, what they’ve achieved, and what they’ve learned along the way.
- Key challenges they faced in scaling accessibility across complex digital experiences, multiple teams, and high volumes of content—and how they navigated them.
- How they’re maturing their accessibility program with a focus on long-term sustainability, organizational alignment, and measurable business impact.
From burden to breakthrough: next-gen CRO & Milo’s AI slash data entry, errors, and cost with no EHR integration required
- Enhancing patient recruitment and streamlining data capture using Milo’s AI-driven capabilities
- Integrating seamlessly into existing clinical research workflows for improved efficiency
- Maintaining compliance while driving efficiency in clinical research with Milo
- Simplifying processes and optimizing outcomes to reshape the future of clinical trials
How small to medium-sized companies can accelerate innovation and improve compliance through data-driven decision making
- Challenges in leveraging clinical and vigilance data, leading to delays and untapped potential
- How to overcome this and make your health data available for secondary use in your organization
- How this accelerates market access and reduces workload and costs
From concept to market – hurdles for AI-driven medical devices
- Starting on the right foot: Considerations for training and validation of AI-driven medical devices
- Clinical performance: Steps to efficient clinical validation based on case example
- Market entry: Hurdles with Notified Body review and approval
- What happens next: Iterating in the post-market setting
END OF DAY 1
CASE STUDY Bouncing back on the path through NB’s question rounds – challenges and lessons learned during certification of clinical evaluation (class IIb and III)
- Literature search – what literature source is relevant for my MD?
- Exploring how to align acceptance criteria for safety and performance with State of the art
- Is the clinical evidence sufficient for the entire dimensional range of my medical device?