The GEICO developer has published several papers regarding AI and ML in the healthcare and insurance sectors.
New York City, NY, 11th July 2023, ZEX PR WIRE, Sai Nitisha Tadiboina is a software developer who has embraced the rise of artificial intelligence and its subdivisions—machine learning and deep learning—instead of resisting them. She has wielded their positives to create sophisticated insurance software that receives, processes, and detects claims that might be fraudulent. The software engineer has also explored their potential for early detection of diseases with high-mortality rates and easier access to healthcare services.
Many telehealth challenges surfaced during the pandemic. They included poor internet connection, patient privacy concerns, access to physical examinations and procedures (both invasive and non-invasive), access to training, and preconceived notions about telehealth. Tadiboina, being pregnant during its peak, was not spared some of these challenges.
Challenges were also rife on the insurance side, with people reporting fewer claims due to fewer vehicles on the roads and the sudden gap created by slow digital transformation. The risk of insurance fraud was also high during this time, driving the need for a more accurate claims processing system.
“I believe the solution to insurance fraud is an AI-generated early detection system,” said Tadiboina while discussing the claims processing system. “I’ve helped my clients develop software automating the claims process; the technology is cutting edge and has the potential for better service due to its ability to spot red flags, read documents, and issue responses within minutes. The pandemic notwithstanding, you need to entrust AI with these tasks, so you can focus on tackling newer challenges in the insurance sector.”
Tadiboina is also on the expert panel at Criya (YC W22). Meet her at https://www.criya.site/sai-nitisha-tadiboina.
About Sai Nitisha Tadiboina
Sai Nitisha Tadiboina is the newest member of the expert panel at Criya (YC W22). A New York Institute of Technology alum, she is a master software engineer at GEICO. For most of her career, Tadiboina has explored artificial intelligence and machine learning for a better quality of life. Her work has life-saving potential, including gems like easier access to healthcare and early detection and prevention of diseases with poor prognoses. See below to get in touch with the developer.
For additional information and business inquiries, please contact: https://sainitishatadiboina.com/
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Fast Amplify journalist was involved in the writing and production of this article.