Citeline:2024探索AI技术在制药领域的潜在价值报告(英文版)(32页).pdf

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Citeline:2024探索AI技术在制药领域的潜在价值报告(英文版)(32页).pdf

1、CLICK TO EDIT MASTER TITLE STYLEAI and ML in Pharma:Redefining the Forecasting LandscapeJuly 2024Todays PresentersDANIEL CHANCELLORVP Thought Leadership,EvaluateDAVID JAMESFounder,J+D ForecastingSTEFANO DRIUSSIHead of Software Engineering,J+D Forecasting20+years of experience supporting Pharmaceutic

2、al and Biotech companies with their forecasting needs.Experts in all pharmaceutical forecasting methodologies.Using innovative approaches to resolve forecasting challenges.Led by a senior level team of forecasting,market research,technical and data analysis professionals,with extensive experience.Ad

3、vanced technical capabilities,having developed over 1,000 forecast models and deployed our FC+software and FC365 forecasting platform in 70+countries.J+D ForecastingBy combining Evaluates world-class consensus forecasting and consulting expertise with J+D Forecastings specialised models,delivered th

4、rough cloud-based management and analytical solutions,clients can achieve a comprehensive understanding of the competitive landscape,seize important opportunities,and enhance the decision-making process.Evaluate,a Norstella CompanyAgendaGeneral OverviewApplication of AI in PharmaPractical uses of AI

5、 in ForecastingAI Revolution What to ExpectQ&AAI in Pharma Forecasting Challenges and OpportunitiesGeneral Overview“A.I.could be more profound than both fire and electricity”Sundar Pichai,CEO AlphabetDifferent areas of Artificial Intelligence.Artificial Narrow Intelligence(better than humans in ONE(

6、better than humans in ONE specific task)specific task)Artificial General Intelligence(capable as humans in every(capable as humans in every task)task)Artificial Super Intelligence(better than humans in(better than humans in every task)every task)TodayTomorrowAI in Pharma Forecasting Challenges and O

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