• How are we ensuring under-served patient populations voices are considered in trial format?
• Optimizing both population data and clinical data analytics to develop accessible and equitable clinical trials.
• Improving global data collection and analytics to provide direction of health equity strategies.
• Discussing pharmaceutical solutions for health equity through clinical trial diversity in the United States.
• Reviewing the global health equity landscape through the lens of regulation and collaboration efforts.
• Solutions to maximise the implementation of clinical trial & health equity education tools across the clinical trial landscape.
• Deciphering the most effective communication methods for diverse populations.
• Demonstrating how health literacy innovation leads to quality patient experience and improved patient engagement & recruitment.
Understand the pressure points for enterprises and meet, network and partner with industry leaders from hyperscalers, cloud service providers, enterprises, and investment firms. Our sessions include infrastructure hardware planning, re-imagining data science workflow dynamics, building and training Generative AI models and implementing emerging technologies and AI use cases within both start-up and large enterprise environments.
Meet your peers working on similar models, other technologists developing internal enterprise models and hyperscalers producing systems at scale. Connect and partner with individuals and companies across the technology and enterprise spectrum to advance and advocate your business's platform and services. Moreover, we have dedicated sessions illustrating the core needs of enterprises in adopting Generative AI techniques and applications and panels by investors deliberating on the next Generative AI investment wave.
Learn about Generative AI use case product offerings and get a handle on total cost of ownership considerations. Our headline sessions focus on understanding the core business needs and use cases for on-premise and cloud infrastructure, Generative AI return-on-investment (ROI) and presenting use cases for Generative AI cross-department pollination of systems and capabilities. Automating current practices, implementing LLMs, benchmarking AI product progression, and advancing customer service optimizations. Along with discovering possibilities for the next wave of Generative AI applications and the need for greater system interfacing.
