Looding...
overview

September 9, 2022

Quantiphi Recognized in 2022 Gartner® Hype Cycle™ Reports for AI Strategy

Quantiphi is mentioned in two Gartner Hype Cycle Reports as a Sample Vendor for AI Strategy.

MARLBOROUGH, Mass.- Quantiphi, an AI-first digital engineering company, announced today that it is cited as a sample vendor in the Gartner Hype Cycle report for US Healthcare Payers, 2022 and for Healthcare Data, Analytics and AI, 2022, in the AI strategy category.

The reports identify the transformational impact of implementing an enterprise AI and data analytics strategy early into the ecosystem of key healthcare stakeholders. The reports emphasize the increasing need for scalable AI, data, and analytics initiatives in the payer, provider, and life science sectors. Gartner’s reports further recommend including chatbots, claims processing automation, and large-scale data abstraction and analysis tools in AI strategies.

Every U.S. healthcare payer should have an enterprise AI strategy,” according to the Gartner reports. “Today, many payers, and nearly all of the largest payers have AI strategy embedded in their business and technology strategy. As early adopting payer organizations begin to deliver real outcomes with their AI investments, competitive pressure is mounting.” 

In our opinion, Quantiphi delivers value to the healthcare industry with AI/ML solutions and insurance services automation, making the company a vendor that drives transformational outcomes for U.S. healthcare payers and key healthcare stakeholders worldwide. With its growth potential widely recognized in the global market, Quantiphi has emerged as a go-to partner for transforming healthcare by helping meet business and clinical needs with data, analytics, and artificial intelligence solutions.

"We are delighted to be recognized by Gartner as a leading Vendor which we believe is an acknowledgment for our approach towards AI-enabled healthcare innovation," said Bruno Nardone, Global Head of Healthcare and Life Sciences at Quantiphi, " We consider this recognition in the two Hype Cycle Reports for AI strategy is  a validation of our commitment to enabling sustainable AI adoption that delivers strategic value to payers and other stakeholders across their ecosystems."

Gartner clients can access the 2022 Gartner Hype Cycle report for the U.S. Healthcare Payers, and Healthcare Data, Analytics, and AI here: 

Gartner Disclaimer

GARTNER and HYPE CYCLE are trademark and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner's research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Quantiphi

Quantiphi is an award-winning AI-first digital transformation engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Quantiphi solves the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats, and anomalies.

For more on Quantiphi’s capabilities, visit https://quantiphi.com/.

Media Contact:

Hadley Mayes

contact.newsroom@quantiphi.com

Thank you for reaching out to us!

Our experts will be in touch with you shortly.

In the meantime, explore our insightful blogs and case studies.

Something went wrong!

Please try it again.

Share