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Search Results: Showing 1,498 results
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How to Fail with AI (and How to Succeed!)
Tobias Zwingmann, Business AI Advisor and Author, focuses on understanding the potential and limitations of AI, especially in the context of business growth and innovation. He shares a six-step process to successfully implement AI in an organization and warned against common pitfalls. The session also includes a brief crash course on AI and its various applications.
Succeeding with AI
Paul Grabscheid speaks to the impact of AI on solution developers while providing advice on navigating this transition. Paul shares insights from customer experiences, reflections on past practices, and discussions on ethics and partnerships in the era of AI.
Healthcare Roadmap: Solving the Mystery
In this keynote presentation, Don Woodlock discusses improving healthcare systems. Don reviews the problems healthcare systems face, including staff retention, antiquated systems, and the inability to extract and analyze data. Don also presents demos of new technologies being developed to address these issues and improve the healthcare experience for patients, healthcare providers, and administrators.
Health & Life Sciences
Beyond EHRs: The Quest for Productivity
Augustine Amusu, the CIO of Mediclinic Middle East, shares his experiences and insights about the healthcare system and digital adoption in the UAE. He discusses the transformation of healthcare, the implementation of electronic health records, the use of AI and machine learning in healthcare, and the importance of accessibility in healthcare services.
Health & Life Sciences
GaHIN Expands Connectivity Across Georgia
In this keynote session, Denise Hines discusses the advancements and achievements of Georgia Health Information Network (GHIN) in 2024. She reviews GHIN's innovative healthcare data exchange initiatives, the introduction of social determinants of health data, and the development of a comprehensive patient care model that incorporates social care aspects.
Health & Life Sciences
InterSystems IRIS: What's New and What's Next
Jeff Fried discusses the latest developments in InterSystems IRIS data management platform. Jeff reviews the platform's value proposition, its focus on AI, and the prevalence of cloud deployments among the customer base. Jeff also introduces vector search, a new feature in InterSystems IRIS, and the InterSystems Data Fabric Studio, a low-code interface for data management.
VA: Tools Affect Our Ideas and Ideas Create Solutions
In this keynote session, Augie Turano discusses the evolution of the EHR (Electronic Health Record) system in the Department of Veterans Affairs. He shares how the system has developed over the years, from its inception in the early 1980s to its current state. Augie also discusses the challenges they faced, the solutions they implemented, and the tools they used to aggregate and manage vast amounts of data from various sources.
InterSystems IRIS: Easy to Consume and Easy to Use
Scott Gnau speaks about InterSystems IRIS data platform, its developments, and the potential it holds for the future. Scott also highlights the transformative nature of AI, the challenges of AI skills acquisition, the importance of trust and compliance in AI applications, and the need to start building a solid foundation for AI implementation.
Adapt AI to your Existing Architecture
Merv Adrian, Founder and Principal Analyst, IT Market Strategy, focuses on the adoption of Artificial Intelligence (AI) and how organizations can prepare and strategize for its implementation. Merv emphasizes the importance of readiness, clear objectives, and trusted partners and technologies in AI adoption.
Operationalizing AI: From Technology to Treatment
In this panel discussion we explore the use of Artificial Intelligence (AI), specifically Generative AI (GenAI), in the healthcare sector. The panelists discuss their experiences with AI in their respective fields. Additionally, the panelists discuss the potential of AI in healthcare, the need for regulations and guardrails to ensure the safe and effective use of AI, the challenges in AI adoption in healthcare organizations, and the future of AI in healthcare.
Health & Life Sciences
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