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X-WR-CALDESC:Events for Prolifics
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DTSTART;TZID=UTC:20210512T100000
DTEND;TZID=UTC:20210512T103000
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SUMMARY:Panther Coffee Event
DESCRIPTION:Hello Panther family – grab your favorite mug and freshen up that coffee! Then come join our Panther Team in a 30-minute\, informal chat. \nDuring our time\, we’ll demonstrate server-side scripting in Panther Web to access objects in a Document Management System. \nIt’s also your chance to ask up questions about migrating your Panther application. \nRegister now to let us know you’re joining. And stay up-to-date on Panther with Prolifics with our latest newsletter. \nJAM and Panther are registered trademarks of Prolifics\, Inc.
URL:https://prolifics.ai/event/panther-coffee-event
CATEGORIES:Online Event
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DTSTART;TZID=UTC:20210519T120000
DTEND;TZID=UTC:20210519T120000
DTSTAMP:20221123T065141Z
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SUMMARY:Transforming Healthcare with Data Science
DESCRIPTION:Now more than ever\, healthcare providers are facing a number of unique challenges and millions of dollars are lost each year just from patients failing to attend medical appointments. IBM as a leader in Data Science is dedicated to ensuring that healthcare institutes have the ability to forecast for healthcare needs\, predict patient no-shows and provide preventative measures for our provider clients. \nJoin Prolifics’ Data and Analytics Sales Leader\, John Radi and Prolifics’ Chief Data Scientist\, Michael Gonzales\, PhD\, better known as “Dr. G”\, along with experts from IBM to learn about:\n• Best practices for Machine Learning around Healthcare\n• Predicting patients’ potential of missing an appointment\n• Advanced analysis providing forecasted community healthcare needs \nKey Webinar Takeaways:\n• Real-World application of Data Science for healthcare\n• Leveraging Data Science for Healthcare using “smart” booking\npractices for Patient no-shows\n• Establishing preventative healthcare programs to better meet needs \nWe are excited to partner with IBM for this\nexclusive session highlighting how providers can gather the appropriate\ndata\, build forecast models to predict patient no-shows and take action\nto prevent negative impact on their organization. \n\nREGISTER HERE\n\n  \n\n\n\nMichael L. Gonzales\, Ph.D. \nChief Data Scientist\, Prolifics \nDr. G. is an active practitioner in the IT space with over 30 years of industry experience serving in roles of chief architect and senior solutions strategist. He specializes in the formulation of business analytics for competitive advantage in global organizations. Recent engagements include companies in the top global 100. \nHe has presented and published his research at leading IT international conferences\, including: Decision Sciences Institute\, Americans Conference on Information Systems\, and Hawaii International Conference on Systems Science. His research streams include analytics against extremely large data and success factors for IT-enabled competitive advantage. \n\n\n\n\n\nJohn Radi \nData and Analytics Sales Leader\, Prolifics \nEmil “John” Radi is a highly successful enterprise sales leader with over 25 years of experience as both a solutions architect and enterprise sales executive around MDM\, Data Governance\, Big Data\, Data Strategy and Advanced Analytics. He brings extensive knowledge of the competitive landscape in the Information Management and Analytics space along with expertise in the Cloud Native and Dev Ops practice areas. \n\n\n\n\n\nDavid West \nPredictive Analytics Technical Specialist and Data Scientist\, IBM \nDavid is an experienced data scientist with broad experience working in and serving the insurance and health care industries. During his 30+ year career he’s served in roles on both the IT and business side of the aisle\, and worked with organizations in more than 20 countries across the globe. \n“I’ve worked on both sides of the glass wall\, both sides of the negotiating table and on both sides of the Atlantic and Pacific.” \nHis expertise includes data science\, predictive modeling\, software project implementation and technology marketing and sales.
URL:https://prolifics.ai/event/transforming-healthcare-with-data-science
CATEGORIES:Online Event
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