BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251113T051447Z UID:82288E09-8BC3-4478-94BE-2B4034739F20 DTSTART;TZID=America/Los_Angeles:20251112T190000 DTEND;TZID=America/Los_Angeles:20251112T200000 DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership requi red):\n\nFirst Speaker: Swetha Manohar RM ([Connect on LinkedIn](https://w ww.linkedin.com/in/-swethavbenchsales))\n\nTitle: Artificial Intelligence HR: Candidature for Foreign Job Recruitment and India Recruitment\n\nAbstr act: In international job markets\, artificial intelligence (AI) is transf orming HR recruitment. Language translation\, automated resume screening\, cultural fit evaluation\, and international talent acquisition are all ma de possible by AI-powered solutions. AI broadens the talent pool\, offers individualized assistance\, and forecasts talent requirements using predic tive analytics. The advantages include cost savings\, better hiring decisi ons\, enhanced candidate experience\, and higher efficiency. Integration w ith current HR systems\, bias prevention\, and data quality are among the difficulties. Businesses may improve the efficacy\, efficiency\, and candi date experience of recruitment by utilizing AI. AI-powered HR tools\, incl uding standalone programs and comprehensive platforms\, streamline HR func tions like hiring\, payroll\, performance reviews\, and employee engagemen t\, enhancing efficiency\, accuracy\, and allowing HR professionals to foc us on strategic initiatives.\n\nBio: I am a dedicated and results-driven p rofessional with over 16 years of experience in end-to-end Technical Recru itment\, Bench Sales\, Consultant and Vendor Management\, and Training & D evelopment. I have provided services to top U.S. IT companies\, helping th em acquire the best resources for their job requirements. My expertise lie s in handling all types of technical requirements\, identifying top consul tants\, and successfully placing our H1B candidates in leading IT firms ac ross the U.S. Skilled in technologies such as Java\, .NET\, Oracle\, and C linical SAS\, I take pride in building strong vendor relations and driving organizational growth.\n\nSecond Speaker: Sri Budaraju ([Connect on Linke dIn](http://linkedin.com/in/ambareesh-b-323b98270))\n\nTitle: Can Simple R egression Compete with Artificial Intelligence? Exploring the Overlap Betw een Classical Statistics and Modern AI\n\nAbstract: This talk explores the comparison of classical regression models\, often taught in an introducto ry statistics course\, compared with the modern AI and machine learning mo dels in predicting real-world outcomes. Using real datasets from reputed s ources like Kaggle\, this research dives into comparing the accuracy of si mple linear and logistic regression methods to the more complex AI systems . This highlights the surprising power of simple statistical techniques an d situations in which they are more applicable compared to bigger models f or their interpretability and how they play a vital role in the realm of A rtificial Intelligence.\n\nBio: Sri Budaraju (Ambareesh) is an honors stud ent 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 pre viously was researching micropropagation and organogenesis in the field of Biotechnology. Sri has been invited and presented his research works at v arious conferences such as Mission College Symposium & Expo and other ASDR P associated online conferences as well.\n\nSpeaker(s): Sri Budaraju\, Swe tha Manohar\n\nVirtual: https://events.vtools.ieee.org/m/512749 LOCATION:Virtual: https://events.vtools.ieee.org/m/512749 ORGANIZER:ruben.glatt@ieee.org SEQUENCE:52 SUMMARY:Tech Talks: Overlap Between Classical Statistics and Modern AI & AI in Human Resources URL;VALUE=URI:https://events.vtools.ieee.org/m/512749 X-ALT-DESC:Description: <br /><p>The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):</p>\n<p><strong>First Speaker:</strong><strong> </strong>Swetha Manohar RM&nbsp\;(<a title="www.linkedin.com/in/-swethavb enchsales" href="https://www.linkedin.com/in/-swethavbenchsales" target="_ blank" rel="noopener">Connect on LinkedIn</a>)</p>\n<p><strong>Title: </st rong>Artificial Intelligence HR: Candidature for Foreign Job Recruitment a nd India Recruitment</p>\n<p><strong>Abstract:</strong> In international j ob markets\, artificial intelligence (AI) is transforming HR recruitment. Language translation\, automated resume screening\, cultural fit evaluatio n\, and international talent acquisition are all made possible by AI-power ed solutions. AI broadens the talent pool\, offers individualized assistan ce\, and forecasts talent requirements using predictive analytics. The adv antages include cost savings\, better hiring decisions\, enhanced candidat e experience\, and higher efficiency. Integration with current HR systems\ , bias prevention\, and data quality are among the difficulties. Businesse s may improve the efficacy\, efficiency\, and candidate experience of recr uitment by utilizing AI. AI-powered HR tools\, including standalone progra ms and comprehensive platforms\, streamline HR functions like hiring\, pay roll\, performance reviews\, and employee engagement\, enhancing efficienc y\, accuracy\, and allowing HR professionals to focus on strategic initiat ives.</p>\n<p><strong>Bio:</strong> I am a dedicated and results-driven pr ofessional with over 16 years of experience in end-to-end Technical Recrui tment\, Bench Sales\, Consultant and Vendor Management\, and Training &amp \; Development. I have provided services to top U.S. IT companies\, helpin g them acquire the best resources for their job requirements. My expertise lies in handling all types of technical requirements\, identifying top co nsultants\, and successfully placing our H1B candidates in leading IT firm s across the U.S. Skilled in technologies such as Java\, .NET\, Oracle\, a nd Clinical SAS\, I take pride in building strong vendor relations and dri ving organizational growth.</p>\n<p><strong>Second Speaker: </strong>Sri B udaraju&nbsp\;(<a title="http://linkedin.com/in/ambareesh-b-323b98270" hre f="http://linkedin.com/in/ambareesh-b-323b98270" target="_blank" rel="noop ener">Connect on LinkedIn</a>)</p>\n<p><strong>Title: </strong>Can Simple Regression Compete with Artificial Intelligence? Exploring the Overlap Bet ween Classical Statistics and Modern AI</p>\n<p><strong>Abstract: </strong >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 compa ring the accuracy of simple linear and logistic regression methods to the more complex AI systems. This highlights the surprising power of simple st atistical techniques and situations in which they are more applicable comp ared to bigger models for their interpretability and how they play a vital role in the realm of Artificial Intelligence.</p>\n<p><strong>Bio:</stron g> Sri Budaraju (Ambareesh) is an honors student at Las Positas where he i s an avid researcher in fields of mathematics &amp\; 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 &amp\; Expo and other ASDRP associated online conferences as well.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR