GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS

Over two days, the Ai4 Healthcare conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve problems and create opportunities in the healthcare industry. Thanks to the convergence of modern computing power and data science, the healthcare industry is leveraging AI to create entirely new value.

Ai4 Healthcare will highlight the most valuable insights from industry leaders, delivering specific use cases and actionable insights. Ai4 is focused on helping you along on your AI journey, at whatever stage you may be.

A New Kind of Conference

Healthcare Industry Specific

A conference built just for you

Practical Use Case Driven

Real insights that you can apply today

Application Only

To ensure quality connections

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

A New Kind of Conference

Healthcare Industry Specific

A conference built just for you

Application Only

To ensure quality connections

Practical Use Case Driven

Real insights that you can apply today

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

what you'll learn

Our goal at Ai4 Healthcare is to provide a common framework for thinking about what AI means to the healthcare industry.

The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today.

Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.

Our goal at Ai4 Healthcare is to provide a common framework for thinking about what AI means to the healthcare industry.

The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today.

Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.

who should attend

Business leaders & data practitioners from leading hospital systems, pharmaceutical & biotech companies, insurers, and CROs & research centers who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs, best in class service providers, and startups.

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X],  Senior Director, ED

Common Technical Roles:

– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead, Head of IT

Decision-makers from leading healthcare companies who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs and best in class service providers and startups.

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X], Senior Director, ED

 

 

Common Technical Roles:
– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead

Submit your application along with the following companies!

SPEAKERS

Pictured below are the confirmed speakers for Ai4 Healthcare. Please note that this lineup is subject to change. If a last-minute cancellation does occur, we always do our best to find a suitable replacement. Refunds cannot be granted for dropped speakers.

DAY 1 SPEAKERS: DATA SUMMIT

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Peter Fleischut, M.D.

SVP & Chief Transformation Officer, NewYork-Presbyterian

Panel Title: Hospital-Wide AI Transformation

See Full Details →

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Dmitriy Gorenshteyn, Ph.D.

Senior Data Scientist, Memorial Sloan Kettering

Talk Title: Building Clinically Relevant Models

See Full Details →

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Melanie Kambadur, Ph.D.

Search Engineering Team Lead, Oscar Insurance

Talk Title: Finding Structure in Noisy Claims and Member Messages

See Full Details →

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Sasha Gutfraind, Ph.D.

Senior Healthcare Data Scientist, Blue Health Intelligence

Talk Title: Saving Patient Ryan 2.0: Machine Learning-Driven Identification, Prediction and Prevention of High Cost Patients

See Full Details →

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Sean Lane

Co-Founder and CEO, Olive

Panel Title: Hospital-Wide AI Transformation

See Full Detals →

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David Tsay, M.D., Ph.D.

Associate Chief Transformation Officer, NewYork-Presbyterian

Panel Title: Hospital-Wide AI Transformation

See Full Details →

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John Fahrenbach

Healthcare Data Scientist, UChicago Medicine

Talk Title: Augmenting Hospital Operations with AI

See Full Details →

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Mark Kanner, Ph.D.

Lead Data Scientist, Aetna

Talk Title: How AI Can Help in Making Our Healthcare System More Efficient

See Full Details →

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Tawnya Infantino

Senior Director of Digital Products, Dignity Health

Talk Title: TBA

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David Ohlssen

Biometrical Fellow, Novartis

Talk Title: TBA

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Yindalon Aphinyanaphongs, M.D., Ph.D.

Assistant Professor in Department of Population Health and Director of Translational Clinical Informatics for DataCore, NYU Langone

Talk Title: TBA

DAY 2 SPEAKERS: BUSINESS SUMMIT

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Bülent Kiziltan Ph.D.

Head of Deep Learning, Aetna

Talk Title: Creating Value With AI

See Full Details →

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Madhuri Sebastian

VP AI Clinical Partnerships, GE Healthcare

Talk Title: AI in Healthcare Imaging – Opportunities and Challenges

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Rajeev Ronanki

SVP and Chief Digital Officer, Anthem

Panel Title: Population Health: A Data-Driven Model for Patient Care

See Full Details →

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Jodie Gillon

Global Medical Lead, Patient Engagement Rare Disease, Pfizer

Panel Title: Leveraging AI For Diagnosis

See Full Details →

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Vish Anantraman

Chief Innovation Architect, Northwell Health

Panel Title: Population Health: A Data-Driven Model For Patient Care

See Full Details →

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Erik Pupo

Chief Information Officer, Columbia University Irving Medical Center

Panel Title: Population Health: A Data-Driven Model for Patient Care

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Emmanuel Fombu

Director, Digital Medicine and Innovation, Novartis

Talk Title: The Future of Healthcare: Humans and Machines Partnering for Better Outcomes

See Full Details →

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Viraj Patwardhan

Vice President of Digital Design and Consumer Experience, Thomas Jefferson University Hospitals

Talk Title: Smart Patient Room Concierge

See Full Details →

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Esteban Rubens

Global Principal for Enterprise Imaging, Pure Storage

Talk Title: Infrastructure Matters: Bringing Deep Learning to Enterprise Imaging Clinical Practice

See Full Details →

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Adam Jenkins

Data Science Lead, Biogen

Talk Title: Real World Issues During Implementing AI In The Healthcare System

See Full Details →

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Susan Abedi

EVP Commercial Solutions, 81qd

Panel Title: Leveraging AI For Diagnosis

See Full Details →

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Michael Frank

Director of Strategy Worldwide R&D, Pfizer

Talk Title: Machine Learning to Boost R&D Productivity in Pharma

See Full Details →

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Michael Berger

VP, Population Health Informatics & Data Science, Mount Sinai Health System

Talk Title: Decision-Centricity: Operationalizing Analytics and Data Science in Health Systems

See Full Details →

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Sanji Fernando

VP Center for Applied Data Science, OptumLabs

Panel Title: Population Health: A Data-Driven Model for Patient Care

See Full Details →

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Christopher Steel

Senior Director of AI & Machine Learning, IQVIA

Talk Title: Building Business Value: Using AI and Machine Learning to Reduce Costs, Increase Revenue, and Drive Competitive Differentiation

See Full Details →

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Christopher Lehmuth

Sr. Director of Enterprise Data Science, Express Scripts

Talk Title: Breaking the Cycle: Moving From Issue Management to Prevention with Predictive Analytics

See Full Details →

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Len Usvyat, Ph.D.

Vice President of Integrated Care Analytics, Fresenius Medical Care

Talk Title: Applying Data Science to Understand and Improve Quality of Life in Patients with Chronic Disease

See Full Details →

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Isabelle Lousada

Founder and CEO, ARC

Panel Title: Leveraging AI For Diagnosis

See Full Details →

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Michelle Stansbury

VP of Corporate Business / Revenue Cycle Systems and Innovations, Houston Methodist

Talk Title: TBA

Agenda

DATA SUMMIT

Monday, November 12th. Day one is geared towards technical job roles: the builders, engineers, and architects. Technical leaders at major hospital systems, pharmaceutical companies, and insurers will take a deep dive into the specifics of their machine learning models. Expect to hear examples from industry about…

– Dealing With Legacy Systems

– Unstructured Data

– Dealing with Biased Data Sets

– Cloud v Local Environment

– Data Privacy and Security

– Scaling to Big Data

– Productionizing Your Model

– Model Interpretability

– Deep & Reinforcement Learning

– And More!

DATA SUMMIT

Monday, November 12th. Day one is geared towards technical job roles: the builders, engineers, and architects. Technical leaders at major hospital systems, pharmaceutical companies, and insurers will take a deep dive into the specifics of their machine learning models. Expect to hear examples from industry about…

– Dealing With Legacy Systems

– Bringing Structure to Unstructured Data

– Dealing with Biased Data Sets

– Cloud v Local Environments

– Data Privacy and Security

– Scaling to Big Data

– Productionizing Your Model

– Model Interpretability

– Implementing Deep Learning & Reinforcement Learning

– And More!

BUSINESS SUMMIT

Tuesday, November 13th. Day two is intended for business-focused and hybrid job roles: the executives, product leads, and heads of innovation. Here, we will focus on the business impact of top AI use cases in the healthcare industry including AI for patient care, medical imaging & diagnostics, management, and research & development. These AI applications include…

– Diagnosis & Prescription

– Chatbots

– Case Prioritization

– Imaging Insights

– Medical Devices

– Pricing & Risk

– Patient Access

– Electronic Health Records

– Population Health

– Drug Discovery

BUSINESS SUMMIT

Tuesday, November 13th. Day two is intended for business-focused and hybrid job roles: the executives, product leads, and heads of innovation. Here, we will focus on the business impact of top AI use cases in the healthcare industry including AI for patient care, medical imaging & diagnostics, management, and research & development. These AI applications include…

– Automated Diagnosis & Prescription

– Chatbots

– Real Time Case Prioritization

– Medical Imaging Insights

– Smart Medical Devices

– Pricing & Risk

– Patient Access

– Smart Electronic Health Records

– Device/Drug Comparative Analytics

– Drug Discovery

NOV. 12TH: DATA SUMMIT

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:00AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:30PM      Lunch
1:30PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
6:00PM        Evening Networking
7:30PM        Conference Hall Closes
7:30PM        AI After Dark Event: Data For Dinner

NOV. 13TH: BUSINESS SUMMIT

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:00AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:30PM      Lunch
1:30PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
6:00PM        Evening Networking
7:30PM        Conference Hall Closes
7:30PM        AI After Dark Event: Ai4 Official Bar Crawl

NOV. 12TH: DATA SUMMIT

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:00AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:30PM      Lunch
1:30PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
6:00PM        Evening Networking
7:30PM        Conference Hall Closes
7:30PM        AI After Dark Event: Data For Dinner

NOV. 13TH: BUSINESS SUMMIT

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:00AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:30PM      Lunch
1:30PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
6:00PM        Evening Networking
7:30PM        Conference Hall Closes
7:30PM        AI After Dark Event: Ai4 Official Bar Crawl

DATA FOR DINNER

Monday, Nov 12, 7:30-9:30PM

Join us for curated 8 person group dinners after Day 1 of the conference ends! We’ve made reservations at a handful of New York favorites for you to choose from. Experience great food and continue to build lasting relationships with other attendees.

*Please note that the cost of dinner is not included in your conference pass. Spaces are available on a first-come, first-served basis. Only registered ticket holders will have the opportunity to attend.  

Ai4 OFFICIAL BAR CRAWL

Tuesday, Nov 13, 8:00-11:00PM

Can you think of a better way to make connections? Neither could we! After the conference ends on Tuesday, you’ll have a chance to recharge and grab some food before heading out for a night in New York! We’ve set up an official Ai4 Healthcare bar crawl route. Registered attendees will be provided the bar crawl details.

Venue

Convene

117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transportation hubs, Times Square, and Rockefeller Center.

Accommodations

Please note that hotel costs are not included with your conference pass. You will need to book your hotel room separately for an additional price.

See below for two convenient hotel options. Our room block at each hotel is currently full, but the hotels still have availability.

Hotels

Please note that hotel costs are not included with your conference pass. You will need to book your hotel room separately for an additional price.

See below for two convenient hotel options. Our room block at each hotel is currently full, but the hotels still have availability.

Cambria Hotel New York – Times Square

30 West 46th Street, New York, NY 10036

Click here for information and directions.

Or call (212) 704-9700 to book.

Holiday Inn New York City – Times Square

585 8th Avenue, New York, NY 10018

Click here for information and directions.

Or call (212) 473-6200 to book.

About

With increasing data can come increasing confusion. Our goal at Ai4 is to bridge the knowledge gap by providing professionals and practitioners with the resources they need to make key business-shaping decisions in a rapidly changing world. Our organization began hosting technology focused events in 2016 with the launch of the bi-coastal event series Worlds Fair Nano. Through Worlds Fair Nano and Ai4 Events, we have connected 20,000 individuals to the future and counting.