How Big Data is Hoping to Power Predictive Analytics

Artificial Intelligence & Predictive Analytics:

Can Healthcare Really Utilize It?

LOCATION: Constant Contact, 1601 Trapelo Rd, Waltham, MA

Directions and parking information located at: https://goo.gl/maps/WLRSf

Program Description:

Better decision making, advanced analytics and big data insights. Can deep learning algorithms rival human skills in detecting disease from radiological images, identify cancer in pathology reports or predict complications. Is it necessary for humans to spend time reviewing reports to determine if you’re sick or at risk?  We are awash in oceans of data.  We can’t do it all – but can technology and computers handle this? Is a human’s time is better spent helping other humans by providing them with better clinical care. Can artificial intelligence be leveraged to provide personalized treatments for people battling diseases like cancer and diabetes?  The goal of this program is to show how artificial intelligence can sort through piles of raw data to provide real-time information and be leveraged to provide personalized treatments.

Moderator

Bob Phelps, Business Development Executive 

Panelists:

Michael Fahey, Offering Manager for Exogenous Data, IBM Watson Health

Ravi Kuppuraj, PhD, MBA, Venture Leader, Connected Sensing and Wearables, Philips Healthcare

Niven R. Narain, Co-founder, President & CEO, BERG Health

Neil Smith, Co-founder, Think Outcomes

Learning Objectives:

At the conclusion of the program, you will understand:

• How big data is hoping to power predictive analytics;
• Who should pay for digital-health applications and services;
• What evidence of effectiveness should be required?

Who should attend:

CEOs, CMO, CTO, CFO, clinicians, technologists and business experts seeking an understanding of how artificial intelligence, predictive analytics and big data can be harnessed in the practice of medicine as a predictive tool in the new healthcare environment.