Who: For invited enterprise leaders, entrepreneurs, academics, and investors (request an invite below)
What: An event focused on cultivating valuable connections and delivering actionable insights
This year’s topic: Demystifying AI and machine learning in healthcare
Why: To connect and educate the stakeholders accelerating impactful innovation in healthcare
When + Where: June 19, 2018 in San Francisco
Tickets: Starting at $950
Digital health has moved beyond its early days, and healthcare stakeholders must transition from a world of heady expectations to one in which they cooly evaluate early innovation and identify signals of long-term success. But the tactics and decision-making tools that suited the early game aren’t well-suited to today’s maturing digital health landscape. We’ve heard a consistent refrain from corporate healthcare leaders in development and innovation: “How can I simplify the process of identifying true innovation in such a complex environment, and how can I advance adoption across my organization more quickly?”
Our new, invitation-only event helps enterprise leaders and investors navigate the most topical challenges impeding healthcare innovation and business strategy. Grounded in Rock Health research, this one-day event features a series of discussions, debates, and interactive sessions to equip enterprise leaders, investors, and innovators with actionable insights and valuable connections needed to drive meaningful impact.
This year’s event focuses on the challenges and promise of AI and machine learning (AI/ML) in healthcare. While AI/ML are critical tools for solving big problems in healthcare, we’re concerned by hype causing confusion in the space, and by solutions being developed without sufficient regard for their efficacy and business value. We’ll build on our recently launched white paper, Demystifying AI and Machine Learning in Healthcare, and offer perspective on what the launch point of AI in healthcare really is—where it’s ripe for use, and where we won’t see movement for years to come.
Attendees will come away with:
- An evaluation framework for AI/ML algorithms
- Understanding of the major venture trends in AI/ML-powered digital health companies
- Tools to manage major threats to adoption and scale
- Practical guidance for overcoming hurdles such as dealing with dumb and dirty data, incorporating AI into an enterprise business strategy, and navigating regulatory uncertainty
- A new network of companies and academics with the most promising solutions
Our goal is to connect and educate the individuals and enterprises committed to advancing innovation in healthcare. We encourage healthcare executives, entrepreneurs, investors, and academics interested in this space to attend—whether you’re actively working in the topic domain or need to learn about the tangible applications for your business. We look forward to having you join us.
Request an invite