Tech Talks: Overlap Between Classical Statistics and Modern AI & AI in Human Resources

The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):
First Speaker: Swetha Manohar RM ((https://www.linkedin.com/in/-swethavbenchsales))
Title: Artificial Intelligence HR: Candidature for Foreign Job Recruitment and India Recruitment
Abstract: In international job markets, artificial intelligence (AI) is transforming HR recruitment. Language translation, automated resume screening, cultural fit evaluation, and international talent acquisition are all made possible by AI-powered solutions. AI broadens the talent pool, offers individualized assistance, and forecasts talent requirements using predictive analytics. The advantages include cost savings, better hiring decisions, enhanced candidate experience, and higher efficiency. Integration with current HR systems, bias prevention, and data quality are among the difficulties. Businesses may improve the efficacy, efficiency, and candidate experience of recruitment by utilizing AI. AI-powered HR tools, including standalone programs and comprehensive platforms, streamline HR functions like hiring, payroll, performance reviews, and employee engagement, enhancing efficiency, accuracy, and allowing HR professionals to focus on strategic initiatives.
Bio: I am a dedicated and results-driven professional with over 16 years of experience in end-to-end Technical Recruitment, Bench Sales, Consultant and Vendor Management, and Training & Development. I have provided services to top U.S. IT companies, helping them acquire the best resources for their job requirements. My expertise lies in handling all types of technical requirements, identifying top consultants, and successfully placing our H1B candidates in leading IT firms across the U.S. Skilled in technologies such as Java, .NET, Oracle, and Clinical SAS, I take pride in building strong vendor relations and driving organizational growth.
Second Speaker: Sri Budaraju ((http://linkedin.com/in/ambareesh-b-323b98270))
Title: Can Simple Regression Compete with Artificial Intelligence? Exploring the Overlap Between Classical Statistics and Modern AI
Abstract: This talk explores the comparison of classical regression models, often taught in an introductory statistics course, compared with the modern AI and machine learning models in predicting real-world outcomes. Using real datasets from reputed sources like Kaggle, this research dives into comparing the accuracy of simple linear and logistic regression methods to the more complex AI systems. This highlights the surprising power of simple statistical techniques and situations in which they are more applicable compared to bigger models for their interpretability and how they play a vital role in the realm of Artificial Intelligence.
Bio: Sri Budaraju (Ambareesh) is an honors student at Las Positas where he is an avid researcher in fields of mathematics & computer science. Sri is experienced in the realm of research as he previously was researching micropropagation and organogenesis in the field of Biotechnology. Sri has been invited and presented his research works at various conferences such as Mission College Symposium & Expo and other ASDRP associated online conferences as well.
Speaker(s): Sri Budaraju, Swetha Manohar
Virtual: https://events.vtools.ieee.org/m/512749