11 months ago
Data Engineer Uses AI to Automate HR and Predict Diseases
Sree Hari Subhash is like a super-smart builder who creates AI to help make work easier.
He built an AI assistant for Yum!
Brands that helped employees get information and manage things like payroll.
He's also working on an AI doctor that can analyze handwriting to spot early signs of Alzheimer's disease.
His goal is to use technology to make life simpler and better for everyone, from workers to patients!
Data Engineer Sree Hari Subhash develops AI tools for businesses and healthcare applications.
He implemented an AI assistant in HR at Yum! Brands using Oracle Cloud.
The AI assistant automated tasks such as payroll and benefits inquiries.
Subhash is researching the prediction of Alzheimer's disease using handwriting analysis.
His research includes the use of machine learning to analyze handwriting samples.
- Who
- Sree Hari Subhash
- What
- Developed AI tools for businesses and healthcare, focusing on HR automation and disease prediction.
- Where
- Yum! Brands, Oracle Cloud, Healthcare Organizations.
- When
- Ongoing.
- Why
- To automate processes, improve efficiency, and provide better support.
Potential Drawbacks of AI
Benefits of AI Implementation
Job Displacement
Potential Drawbacks of AI
AI automation can lead to job losses as it replaces human tasks.
Benefits of AI Implementation
AI can automate mundane tasks, freeing up employees to focus on higher-value work.
Key facts
- Name
- Sree Hari Subhash
- Profession
- Data Engineer
- Current Employer
- KPMG
- Key Projects
- AI in HR at Yum! Brands, Alzheimer's prediction
- AI Assistant's Function
- Automating HR tasks, salary data
- AI System focus
- Predicting Alzheimer's disease
Quotes
Sree Hari Subhash
Data engineer
“One of the most interesting challenges we faced was the introduction of a digital assistant based on AI in Oracle Cloud. This allowed our employees to receive support more quickly and without the need for HR involvement. We have automated the processes related to personnel management, from calculating 401K to integrating payroll systems. I have been creating data models and reports to ensure timely and accurate analytics”
freepressjournal.in
“In this study, we examined various SVM variants and modeled each of them on a dataset, both using feature extraction and without it, and proved that the SVM with the rbf variant is the best among all of them. I am glad that the research was successful and it turned out to achieve results and even show other experts how Artificial Intelligence can be used”
freepressjournal.in
