Carmen Fontana

Emerging Tech Leader, Enthusiast, and Investor

I am passionate about using innovation to impact humanity for the better

As a girl tinkering with our family’s Commodore 128, I became fascinated with how lines of code can transform into meands for personal communication and entertainment.

In college, I learned how things like machine learning give us insight into complicated issues like climate change.

And today, I get excited about how technology can help bring us together to solve new problems.

Emerging Tech


Specializing in high-growth teams. I like to turn ambiguity into action.


Speaker and writer. See some of my ramblings below.


Excited about deep tech, health tech, underrepresented founders, and anything that will make the world a better place.

Awards & Honors

Case Western Reserve University Merititous Service Award

Education & Certifications

Master of Engineering, Case Western Reserve University - Integrated Computer Engineering and Management Degree

Bachelor of Science in Engineering, Case Western Reserve University - Systems & Control Engineering

Data & AI

  • Generative AI with Large Language Models (in progress!)
  • Microsoft Professional Program, Artificial Intelligence
  • Microsoft Professional Program, Data Science
  • Executive Data Science Program, John Hopkins University/Coursera

Cloud & Security

  • AWS Cloud Practitioner Certificate
  • Certified Information Security Manager CISM (in progress!)

Emerging Tech

  • Quantum Computing, CWRU
  • Internet of Things, Stanford Online
  • Unity Essentials Virtual/Augmented Reality (in progress!)

Product, Sales & Marketing

  • Design Thinking Certificate, Rutgers University
  • Sandler Sales Training
  • Hubspot: Inbound Sales
  • Hubspot: Content Marketing

Contact Carmen



(216) 534 - 2894

Media Appearances

Past Speaking Engagements

  • All In for Tech Day, “Emerging Technologies and Insights for CIOS” (panel), October 23
  • Mobile World Congress (Las Vegas), “Augmenting the Clinician with AI”, September 2023
  • Mobile World Congress (Barcelona), "Is There Anything That Can't Be Connected? (panel)", March 2023
  • Women in Analytics, "Biohacking the (Aging) Distance Runner Body", July 2021
  • HBA, "Virtual Care, Real Results: Extended Reality in Healthcare Space", May 2021
  • IEEE WIE ILC, "Biohacking the (Aging) Distance Runner Body", April 2021
  • GetWitIt, "Biohacking the (Aging) Distance Runner Body", April 2021
  • Centric Consulting CampIO, "Biohacking the (Aging) Distance Runner Body", August 2020
  • AITP, "Tech Trends for 2021", February 2021
  • CIO Roundtable, "Emerging Technology Trends", December 2020
  • SIM, "Is Your Software Development Capability Truly Modern?", September 2020
  • Grange Insurance, "Internet of Things: Turning IoT Obstacles Into Opportunities", September 2020
  • CWRU, "Career Navigation in a COVID-19 World", June 2020
  • Boston AWS Group, "IoT as a Platform, Including for Alexa", June 2020
  • CWRU, "Women of Wonder Career Series", June 2020
  • StirTrek, "Innovation at End of Life: Using Virtual Reality and Design Thinking to Improve Hospice Care", May 1, 2020 (CANCELLED DUE TO CORONAVIRUS)
  • ADIT, "Bone Cancer to Boston Marathon: The Power of Outrageous Goal Setting in Dark Times", March 2020
  • The WIT Network, "Bone Cancer to Boston Marathon: The Power of Outrageous Goal Setting", February 2020
  • HIMSS Northern Ohio Chapter, "Improving Patient Outcomes and Reducing Readmissions for Intensive Care Patients by Implementing a High-Touch Care Model Supported by the Internet of Things (IoT)", February 2020
  • Get WitIT, "Innovation at End of Life: Using Virtual Reality and Design Thinking to Improve Hospice Care", October 2019
  • Cincy Deliver, "Beyond the Buzzwords: Accelerate Your Innovation With Cloud Technologies", July 2019
  • AWS, "Women in Big Data: Artificial Intelligence & Machine Learning Panelist", April 2019
  • ComSpark, "Case Study: Improving Employee Utilization (and profitability!) with Machine Learning", September 2018
  • Predictive Analytics World, "Improving Employee Utilization with Machine Learning", June 2018