On-Demand Webinar: The Life-Changing Impact of AI in Healthcare

AI Webinar Series: THE GOOD, THE BAD AND THE UGLY Volume VI

This webinar is for IT Leaders in the healthcare and pharmaceutical industries looking to understand the impact of AI on their industries and how to overcome the ethical and efficiency challenges that come with its use

AI’s Influence on Healthcare

AI is transforming society, software, data, connectivity, cities, retail, security and even our health. According to Forbes, the market value of AI in the healthcare industry is predicted to reach 6.6 billion USD by 2021.

AI has a myriad of applications in the healthcare industry. Whether it’s being used to discover links between genetic codes, to power surgical robots or to maximize hospital efficiency, AI has played a crucial part in reinventing and reinvigorating the modern healthcare industry through software that can predict, comprehend, learn and act.

AI in healthcare is both an ethical and efficiency challenge. After all, AI has no bedside manner (yet) but can be amazing at handling large amounts of data to help connect the dots; to predict the spread of a disease, develop and recommend therapies and optimize the delivery of care.

From the Alexa skill Dr AI and other automated self-diagnosis tools and apps, to big data pattern detection and algorithms that aim to prolong human lifespan and curing infection and disease, today the topic is more important than ever. AI has been used in the healthcare industry for decades – for statistical modelling & simulation, prediction, analysis and reporting – in laboratories, clinical and medical settings.

In this webinar, our speakers shared inspiring examples of AI in healthcare during increasingly uncertain times. They discussed machine learning, natural language processing, rules-based expert systems and digital assistants, and robotics in care and operations.

AI Experts

Michael O'Connell, Chief Analytics Officer, TIBCO
David Skerrett Ai Webinar Host

Michael O’Connell
Chief Analytics Officer at TIBCO Software

Michael has a Ph.D. in Statistics at North Carolina State University and is also an Adjunct Professor of Statistics. He has been developing analytics solutions across a number of industries with a large focus on healthcare.

Michael has been working on statistical software applications for the past 20 years, and has published more than 50 papers and several software packages on statistical methods.

David Skerrett
Digital Transformation Leader

David Skerrett is AI enthusiast and a digital strategist with 19 years’ experience and 140 awards to his name inventing the future of experience, today. He has been named a Drum Digerati twice in the last 4 years, a BIMA Hot100 thought leader, and placed 17th in The Drum Mobile top influencers.

ceo-heading-150-A01

Introducing Our Sponsors, TIBCO Software

This webinar was brought to you by TIBCO Software. 

TIBCO Software unlocks the potential of real-time data for making faster, smarter decisions. Its Connected Intelligence platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale. Discover more about TIBCO’s solutions now.

 

Watch Now

Good, Bad or Ugly?

In every All Things AI edition, we open the floor to our audience and ask them to rate several AI use cases – are they good, bad or just plain ugly?

In this edition, we knew that each and every one of our examples was good so we left the discussion with the audience until the end. Voting will resume next time on All Things AI, but until then, you still have several AI use cases to enjoy!

 Format

The duration of the webinar is 1 hour.

  • Welcome by Craig McCartney
  • Introduce Good, Bad and Ugly concept
  • David Skerrett to introduce theme and any relevant definitions
  • David to explore the theme and introduce guest speaker
  • Michael O’Connell to present ideas on AI in Healthcare
  • Discussions around good, the bad and the ugly. Panelists debating key points
  • Voting on live polls
  • Q&A from listeners
  • Close