February 27, 2020

Model Development Strategies for Time Series Forecasting

Jun KimDirector – Finance Decision ScienceAmerican Express Overview In this presentation, Jun Kim talks about leading a team of data scientists at American Express to create time series models to predict future financial trends. He focuses more on the practical application of model development rather than actual model… Read More

February 27, 2020

Machine Learning and Artificial Intelligence in Banking

Artit “Art” Wangperawong Distinguished Engineer US Bank Introduction Every company’s AI journey is different. We’re all trying to figure out how we use AI for our business or our productivity and development. We’re all on different paths and at different parts of the journey. It also may lead… Read More

February 27, 2020

A Human and Machine Approach to Wealth Management

Chris Kovel Head of Wealth Management Analytics, Intelligence & Data Technology Morgan Stanley Chis Kovel Bio Chris works in Morgan Stanley’s IT department, helping to develop and enhance such digital technologies as data, analytics, artificial intelligence, machine learning, call center, intelligent agents and CRM.  He holds two patents… Read More

February 27, 2020

AI/ML in Investment and Risk Management: Recent Applications, Use Cases, and Implementation Challenges

Arvind Rajan Managing Director – Head ofGlobal & Macro PGIM Fixed Income Introduction Investing is a completely different ballgame from many of the other applications where AI/ML has been spectacularly successful. It presents some unique challenges both to the data scientist and the portfolio manager.  Here, Arvind… Read More

February 27, 2020

Augmented Reality Guidance for Structural Heart Disease Interventions Using Deep Learning-Based Catheter Segmentation

Sun-Joo JangResearch Associate, Dalio Institute of Cardiovascular Imagining, Department of Radiology at Weill Cornell MedicineNew York-Presbyterian Overview At the Dalio Institute of Cardiovascular Imaging, Sun-Joo Jang and his team have undertaken the task of using a mix of augmented and virtual reality to aid in cardiology procedures. In… Read More

February 27, 2020

Machine Learning Platform at Mount Sinai Health Systems

Arash KiaData Science LeadMount Sinai   Prem TimsinaLead Data EngineerMount Sinai Overview Prem Timsina and Arash Kia are part of a collaborative data science team at Mount Sinai whose goal is to bring the power of machine learning to clinicians in an effort to best serve… Read More

February 27, 2020

What AI Will Bring to Medicine and Why Human Experts Are Here to Stay

Hakima IbaroudeneGroup Leader – Research & DevelopmentSouthwest Research Institute Overview Hakima Ibaroudene discusses how she and her team at SwRI utilize the benefits of using AI in the medical field. Applying proper diagnoses is a tedious and complicated task that doctors face every day. The time and effort… Read More

February 27, 2020

Advancements at Siemens Healthineers in AI for Medical Imaging

Bimba RaoHead of Global Artificial Intelligence EngineeringSiemens Healthineers Ultrasound Siemens Healthineers background  Siemens Healthineers builds healthcare products and is one of the 5 largest med-tech companies in the world. It split off from its parent company, Siemens, about two years ago. They predict that in the future   Medicine… Read More

February 27, 2020

Unleashing the Power of AI on R&D: The Potential, The Pitfalls, The Progress

Dr. Jim WeatherallVP, Data Science & AIAstrazeneca R&D Intro to AstraZeneca R&D Here we see an end-to-end case study of how AI and ML come together in a single company. AstraZeneca is a global, researched-based pharmaceutical organization located in the U.K., with offices located close to science clusters:… Read More

February 27, 2020

The Autonomous Pharmacy: Applying AI and ML to Medication Management Across the Care Continuum

Ken Perez VP of Healthcare Policy Omnicell, Inc. Ken applies artificial intelligence (AI) and machine learning (ML) solutions to medication management.  Every year, almost half a trillion dollars are spent on medications in the United States. This includes prescription drugs (and its supply chain), pharmacy benefit… Read More