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The Evolution of HR: Embracing
Artificial Intelligence
Exploring the impact of AI on Human Resources
https://www.linkedin.com/in/srimani/
Introduction
Artificial Intelligence (AI) refers to the simulation
of human intelligence in machines programmed to
think and learn like humans. AI encompasses
various technologies, including machine learning,
natural language processing, and robotic process
automation. In the HR domain, AI is
revolutionizing how we attract, hire, engage, and
retain talent, making processes more efficient and
data-driven.
https://www.linkedin.com/in/srimani/
Historical Context
• Traditionally, HR functions relied heavily on
manual processes, intuition, and subjective
decision-making. The advent of technology
brought about the first wave of automation with
HRIS systems, streamlining tasks such as payroll,
benefits administration, and record-keeping.
https://www.linkedin.com/in/srimani/
Early Days -
Paper and
Pen
• In the early days, HR functions were entirely
manual, relying on paper and pen for record-
keeping, attendance tracking, and other
administrative tasks. This method was labor-
intensive, prone to errors, and inefficient.
https://www.linkedin.com/in/srimani/

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One of the most transformative times making waves in Human Resources (HR) is Artificial Intelligence (AI). The integration of AI in HR techniques is revolutionizing conventional practices and bringing about a paradigm shift within the manner know-how is managed and nurtured. In this blog, we will delve into the numerous sides of synthetic intelligence in human belongings, exploring its manifold blessings, from AI-powered recruitment to predictive HR analytics.

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The document provides information about a human resource information systems (HRIS) course, including: - The recommended textbook and marks distribution for assessments. - Topics that will be covered include the technology and evolution of HRIS, as well as types of HRIS. - An HRIS is defined as a system used to store and manage organizational human resources information to support HR decisions and functions. It includes both computerized systems and older paper-based systems.

Timestamp Machines
• With the industrial era, timestamp machines
were introduced to log employee working hours,
offering a more accurate way to track attendance.
This was a significant improvement, but still
required manual data entry and management.
https://www.linkedin.com/in/srimani/
HRIS (Human Resource Information
Systems)
• The advent of computer technology in the
1980s brought the first wave of HR automation.
HRIS systems digitized basic HR functions like
payroll, benefits administration, and employee
records, improving accuracy and efficiency.
https://www.linkedin.com/in/srimani/
HRMS (Human Resource Management
Systems)
• The 1990s and early 2000s saw the emergence
of more sophisticated HRMS, integrating
multiple HR functions into a single system,
improving efficiency and data management.
These systems allowed for better data analysis
and reporting capabilities.
https://www.linkedin.com/in/srimani/
Digitalization and Advanced Tools
Biometric Systems: Introduction of
biometric systems (fingerprint and
retina scans) for more secure and
accurate attendance tracking.
GPS-Based Attendance: For remote
and field employees, GPS-based
attendance systems provided a way to
log working hours and locations.
Timesheets and Project Allocation:
Automated timesheets and project
allocation systems emerged, helping
organizations manage work hours and
assign tasks based on skill assessments.
Succession Planning: Tools for
succession planning and talent
management became more prevalent,
aiding in the identification and
development of future leaders.
https://www.linkedin.com/in/srimani/

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The document discusses the role of technology in human resource planning and management. It describes how information technology can help with workforce analytics, scheduling, and skills inventories. It also explains how technology supports replacement charts and succession management through applications that track employee data, performance reviews, competencies, and development opportunities. Overall, the document outlines how human resource information systems and software help optimize workforce management and strategic decision making.

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They're computer programs that make handling things like hiring new people, managing who's on vacation, and paying salaries much more straightforward than doing it all by hand.

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The Future of HR Digital Strategy With digital transformation influencing the way companies operate, it’s imperative that HR embraces technology to build an engaged and productive workforce. Our presentation delves into the impact and opportunities of the digital age on HR strategies. Boosting Productivity Learn how tools like goal-setting applications, employee recognition apps, and collaborative software can help improve productivity and collaboration in the workplace. Enhancing Employee Feedback Discover how using digital platforms help employees receive and give feedback instantly, frequently, and transparently. Effective Communication See how digital tools like instant messaging, video conferencing, and social networking apps enable effective communication that adapts to your needs. Building Employee Engagement Explore how tools for surveying, gamification, and personal development can help HR managers measure and improve employee engagement levels. I. AI and Automation in HR Processes 1. Recruitement: Learn how AI supports automated resume screening, and the use of chatbots in allowing candidates to apply to jobs at a time convenient to them. 2. Performance Management See how managers can automate talent management and performance tracking, analyze feedback in real-time and reward performance using AI-based tools. 3. Compensation Management Discover how AI systems can provide a more data-driven approach to setting compensation, with improved accuracy, making the process more transparent and objective. 4. Learning and Development Explore how AI-driven virtual trainers, interactive content, and personalized learning paths can help upskill employees in a more efficient and targeted manner. II. The Future of Remote Work and Its Effects on HR 1. Flexibility and Autonomy Learn how remote work provides for flecibility and empowers employees with greater autonomy over their workstyle. 2. Redefining Employee Benefits See how the traditional concept of benefits is being re-evaluated to adapt to remote working trends, and how employers are providing remote work perks. 3. Managing Virtual teams Discover how to build and manage an engaged workforce by adapting leadership styles and implementing communication strategies to fit the virtual team structure. III. Data Analytics in HR Decision-Making 1. Data-Based Insights Learn how to leverage data analytics in HR decision-making to gain actionable insight into talent acquisition, employee engagement, and retention strategies. 2. Increase Efficiency Explore how data analysis tools can automate HR tasks, improving operational efficiency and freeing up HR managers to focus on more strategic initiatives. 3. Strategic Planning See how accurate data analysis helps HR forecast future talent needs, and make strategic decisions in the areas of hiring, training and development, and organizational structure. IV. Upskilling HR Teams for a Digital Future 1. Aligning HR Strategy with the B

hr digital strategyemployee engagementfuture hr strategies
Data Mining and Analytics
in the Mid-2010s
• In the mid-2010s, HR began leveraging data mining
and analytics to gain insights into employee
performance, turnover rates, and recruitment
efficacy. Data mining involved extracting useful
patterns and knowledge from large sets of data,
while data analytics involved applying statistical and
computational techniques to interpret this data.
This era marked the transition from gut-feeling
decisions to data-driven strategies, enabling HR
professionals to make more informed decisions
based on empirical evidence.
https://www.linkedin.com/in/srimani/
Transformation to AI
• Today, these practices have evolved into more sophisticated AI-driven
analytics. AI not only processes data but also predicts outcomes and provides
actionable insights, making HR strategies more proactive than reactive. For
example, AI can analyze employee engagement surveys to predict potential
turnover and suggest interventions to retain key talent.
https://www.linkedin.com/in/srimani/
Current Trends
AI-powered tools like chatbots, predictive analytics, and automated resume screeners are becoming commonplace in
HR departments worldwide. These tools streamline various HR functions, from recruitment to employee engagement,
and help HR professionals focus on more strategic tasks. The integration of AI in HR brings numerous benefits,
including increased efficiency, improved decision-making, enhanced employee experiences, and the ability to process
large volumes of data quickly.
AI in Recruitment: AI is used for
resume screening, interview
scheduling, and candidate assessment,
reducing the time and effort involved
in hiring.
AI in Performance Management:
AI systems track and evaluate
employee performance, provide
continuous feedback, and predict
future performance trends.
AI in Learning and Development:
AI-driven platforms offer personalized
learning paths, identify skill gaps, and
recommend training programs.
https://www.linkedin.com/in/srimani/
Conclusion
AI is not just a buzzword; it's transforming HR from a
transactional function to a strategic partner in business
success. By embracing AI, HR professionals can focus
more on strategic initiatives and less on routine tasks.
Stay tuned as we delve deeper into how AI is reshaping
various HR functions, from recruitment to employee
engagement, in the upcoming articles.
https://www.linkedin.com/in/srimani/

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Intranet Automation of Human Resource Management System
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This document summarizes the development of an intranet-based human resource management system (HRMS) for an organization. Key features of the system include automated employee records, skills assessments, and an online interview and confirmation process. A SWOT analysis is used to evaluate employees for project assignments based on their strengths, weaknesses, opportunities, and threats. The system was developed using technologies like ASP.NET for the interface, SQL for the database, and allows secure access via the organization's intranet. It aims to improve communication between employees and HR while streamlining HR processes through automation.

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This document discusses how artificial intelligence is transforming human resource management. It begins with an introduction to AI and describes different types of AI like voice recognition, bots, and algorithms. It then discusses how AI is being applied in key HR functions such as recruiting, learning and development, screening candidates, interviewing, leadership assessment, and sourcing. The benefits of using AI in HR are identified as reducing bias, increasing efficiency in candidate assessment, improving employee relationships, enabling predictive turnover analysis, and tailoring training. Challenges of using AI like data quality issues, policy concerns, and the subjective nature of many HR decisions are also outlined. The document concludes that AI is providing valuable insights into areas like productivity and engagement and helping HR managers address

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AI_in_HR_Presentation Part 1 2024 0703.pdf

  • 1. The Evolution of HR: Embracing Artificial Intelligence Exploring the impact of AI on Human Resources https://www.linkedin.com/in/srimani/
  • 2. Introduction Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. AI encompasses various technologies, including machine learning, natural language processing, and robotic process automation. In the HR domain, AI is revolutionizing how we attract, hire, engage, and retain talent, making processes more efficient and data-driven. https://www.linkedin.com/in/srimani/
  • 3. Historical Context • Traditionally, HR functions relied heavily on manual processes, intuition, and subjective decision-making. The advent of technology brought about the first wave of automation with HRIS systems, streamlining tasks such as payroll, benefits administration, and record-keeping. https://www.linkedin.com/in/srimani/
  • 4. Early Days - Paper and Pen • In the early days, HR functions were entirely manual, relying on paper and pen for record- keeping, attendance tracking, and other administrative tasks. This method was labor- intensive, prone to errors, and inefficient. https://www.linkedin.com/in/srimani/
  • 5. Timestamp Machines • With the industrial era, timestamp machines were introduced to log employee working hours, offering a more accurate way to track attendance. This was a significant improvement, but still required manual data entry and management. https://www.linkedin.com/in/srimani/
  • 6. HRIS (Human Resource Information Systems) • The advent of computer technology in the 1980s brought the first wave of HR automation. HRIS systems digitized basic HR functions like payroll, benefits administration, and employee records, improving accuracy and efficiency. https://www.linkedin.com/in/srimani/
  • 7. HRMS (Human Resource Management Systems) • The 1990s and early 2000s saw the emergence of more sophisticated HRMS, integrating multiple HR functions into a single system, improving efficiency and data management. These systems allowed for better data analysis and reporting capabilities. https://www.linkedin.com/in/srimani/
  • 8. Digitalization and Advanced Tools Biometric Systems: Introduction of biometric systems (fingerprint and retina scans) for more secure and accurate attendance tracking. GPS-Based Attendance: For remote and field employees, GPS-based attendance systems provided a way to log working hours and locations. Timesheets and Project Allocation: Automated timesheets and project allocation systems emerged, helping organizations manage work hours and assign tasks based on skill assessments. Succession Planning: Tools for succession planning and talent management became more prevalent, aiding in the identification and development of future leaders. https://www.linkedin.com/in/srimani/
  • 9. Data Mining and Analytics in the Mid-2010s • In the mid-2010s, HR began leveraging data mining and analytics to gain insights into employee performance, turnover rates, and recruitment efficacy. Data mining involved extracting useful patterns and knowledge from large sets of data, while data analytics involved applying statistical and computational techniques to interpret this data. This era marked the transition from gut-feeling decisions to data-driven strategies, enabling HR professionals to make more informed decisions based on empirical evidence. https://www.linkedin.com/in/srimani/
  • 10. Transformation to AI • Today, these practices have evolved into more sophisticated AI-driven analytics. AI not only processes data but also predicts outcomes and provides actionable insights, making HR strategies more proactive than reactive. For example, AI can analyze employee engagement surveys to predict potential turnover and suggest interventions to retain key talent. https://www.linkedin.com/in/srimani/
  • 11. Current Trends AI-powered tools like chatbots, predictive analytics, and automated resume screeners are becoming commonplace in HR departments worldwide. These tools streamline various HR functions, from recruitment to employee engagement, and help HR professionals focus on more strategic tasks. The integration of AI in HR brings numerous benefits, including increased efficiency, improved decision-making, enhanced employee experiences, and the ability to process large volumes of data quickly. AI in Recruitment: AI is used for resume screening, interview scheduling, and candidate assessment, reducing the time and effort involved in hiring. AI in Performance Management: AI systems track and evaluate employee performance, provide continuous feedback, and predict future performance trends. AI in Learning and Development: AI-driven platforms offer personalized learning paths, identify skill gaps, and recommend training programs. https://www.linkedin.com/in/srimani/
  • 12. Conclusion AI is not just a buzzword; it's transforming HR from a transactional function to a strategic partner in business success. By embracing AI, HR professionals can focus more on strategic initiatives and less on routine tasks. Stay tuned as we delve deeper into how AI is reshaping various HR functions, from recruitment to employee engagement, in the upcoming articles. https://www.linkedin.com/in/srimani/