Innovation Insurance Machine Learning VR 
CIO
FEBRUARY 13, 2023
CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.
Apiumhub
OCTOBER 8, 2020
Accentuare has recently published a report, and more than 80 percent of insurers believe that innovation has to be present for businesses that want to remain relevant. Here are some technology-related investment suggestions that you can target and take your insurance business to another level. Trend #3 – Machine Learning.
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OTS Solutions
NOVEMBER 14, 2023
By embracing digital innovation, dental practices can achieve higher precision, convenience, and overall success in providing quality oral healthcare. Machine Learning and Real-time Analysis Machine learning algorithms can detect patterns and make accurate predictions, fostering early detection and diagnosis of oral diseases.
Hacker Earth
MARCH 29, 2018
Like every other industry, the global insurance sector, worth over $5 trillion, has undergone an immense overhaul because of disruptive technologies in recent years. Legacy players are now forced to compete with “insurtechs” who are coming up with better, innovative ways to speak to the customer and provide satisfaction at a lower cost.
Openxcell
NOVEMBER 27, 2023
A huge variety of mobile technology in healthcare tools and innovative solutions are employed by organizations and medical practitioners to help collect data from health informatics apps and software and implement them in a patient-centered healthcare model. AR/VR Another marked trend in healthcare mobile applications is AR and VR.
Openxcell
JUNE 29, 2018
Machine Learning. Over the past two years, mobile app development platforms have expanded front- and back-end capabilities for ease of use, breadth of connectors to back end, and innovative services in the cloud,” said Denise Lund, research director, Enterprise Mobility at IDC. It can sense, learn and act. billion U.S.
Openxcell
JUNE 29, 2018
Machine Learning. Over the past two years, mobile app development platforms have expanded front- and back-end capabilities for ease of use, breadth of connectors to back end, and innovative services in the cloud,” said Denise Lund, research director, Enterprise Mobility at IDC. It can sense, learn and act. billion U.S.
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