Oracle HCM AI: Transforming HR with Artificial Intelligence

Oracle HCM AI is revolutionizing the way organizations manage their human capital. This innovative suite of AI-powered tools is designed to streamline HR processes, enhance employee engagement, and drive better business outcomes. From automating repetitive tasks to providing insightful data-driven decisions, Oracle HCM AI is empowering HR professionals to focus on strategic initiatives and create a more positive and productive workplace.

Oracle HCM AI leverages advanced machine learning algorithms and predictive analytics to analyze vast amounts of data, uncovering hidden patterns and insights that can be used to optimize various HR functions. This includes areas such as recruitment, talent management, performance management, compensation, and employee development. By automating tasks and providing real-time insights, Oracle HCM AI helps organizations improve efficiency, reduce costs, and make more informed decisions about their workforce.

Oracle HCM AI Overview

Oracle HCM AI is a suite of artificial intelligence (AI) solutions designed to enhance the human capital management (HCM) processes within organizations. It leverages advanced AI algorithms to automate tasks, improve decision-making, and optimize the employee experience.

Oracle HCM AI plays a crucial role in the modern HCM landscape by providing organizations with data-driven insights and intelligent automation capabilities. It helps organizations streamline their HCM processes, improve employee engagement, and enhance overall business performance.

Core Functionalities of Oracle HCM AI

Oracle HCM AI encompasses a wide range of functionalities, including:

• Talent Acquisition: Oracle HCM AI automates tasks such as candidate screening, job matching, and interview scheduling, making the recruitment process more efficient and effective.
• Performance Management: Oracle HCM AI provides intelligent insights into employee performance, identifies potential risks and opportunities, and helps organizations optimize performance management strategies.
• Compensation and Benefits: Oracle HCM AI helps organizations develop competitive compensation and benefits packages by analyzing market data, employee performance, and other relevant factors.
• Learning and Development: Oracle HCM AI personalizes learning paths for employees based on their skills, interests, and career aspirations, enabling organizations to optimize their training programs.
• Employee Engagement: Oracle HCM AI analyzes employee sentiment and identifies factors that contribute to employee satisfaction and engagement, enabling organizations to improve their employee experience.
• Workforce Planning: Oracle HCM AI provides insights into future workforce needs, helping organizations plan for talent acquisition, training, and development initiatives.

Benefits of Implementing Oracle HCM AI

Implementing Oracle HCM AI offers numerous benefits for organizations, including:

• Increased Efficiency: By automating tasks and streamlining processes, Oracle HCM AI helps organizations save time and resources, freeing up HR professionals to focus on more strategic initiatives.
• Improved Decision-Making: Oracle HCM AI provides data-driven insights that help organizations make more informed decisions about talent acquisition, performance management, compensation, and other critical HCM areas.
• Enhanced Employee Experience: Oracle HCM AI personalizes employee interactions, provides tailored learning opportunities, and helps organizations create a more engaging and rewarding work environment.
• Reduced Costs: By automating tasks and improving efficiency, Oracle HCM AI helps organizations reduce their HCM costs, including recruitment, training, and employee turnover.
• Competitive Advantage: Organizations that leverage Oracle HCM AI gain a competitive advantage by attracting and retaining top talent, optimizing their workforce, and driving business growth.

Key Features of Oracle HCM AI

Oracle HCM AI provides a suite of intelligent features designed to automate and enhance various HR processes, ultimately improving efficiency and decision-making. These features leverage machine learning algorithms to analyze vast amounts of data, providing insights and predictions that empower HR professionals to make informed decisions.

Candidate Sourcing and Screening

AI-powered tools within Oracle HCM help streamline the recruitment process by automating candidate sourcing and screening. This feature leverages machine learning to identify potential candidates from various sources, including job boards, social media, and internal databases. The system then analyzes candidate profiles based on predefined criteria, such as skills, experience, and education, to identify the most qualified individuals for the role. This automated process significantly reduces the time and effort required to find suitable candidates, allowing recruiters to focus on more strategic tasks.

• Automated Candidate Matching: Oracle HCM AI can analyze candidate profiles against job descriptions and identify potential matches based on skills, experience, and other relevant criteria. This helps recruiters quickly shortlist the most qualified candidates for further evaluation.
• Social Media Sourcing: The system can automatically search social media platforms like LinkedIn for candidates with specific skills and experience. This expands the reach of recruitment efforts and identifies potential candidates who might not be actively looking for jobs.
• AI-Powered Resume Screening: Oracle HCM AI can automatically scan and analyze resumes, extracting key information such as skills, experience, and education. This allows recruiters to quickly identify candidates who meet the minimum requirements for a specific role.

Performance Management

Oracle HCM AI empowers organizations to enhance their performance management processes by providing data-driven insights and automating tasks. The AI-powered features analyze employee performance data, identify potential performance issues, and suggest personalized development plans to help employees reach their full potential.

• Predictive Performance Analytics: Oracle HCM AI can analyze historical performance data and identify patterns that predict future performance trends. This allows HR professionals to proactively identify employees who may be at risk of underperformance and intervene early to provide support and guidance.
• Personalized Development Plans: Based on performance data and individual strengths and weaknesses, Oracle HCM AI can generate personalized development plans for each employee. This helps employees identify areas for improvement and develop the skills they need to advance their careers.
• Automated Performance Reviews: Oracle HCM AI can automate the performance review process by collecting feedback from managers and peers, analyzing data, and generating performance reports. This frees up HR professionals to focus on more strategic aspects of performance management, such as coaching and development.

Employee Engagement and Retention

Oracle HCM AI helps organizations improve employee engagement and retention by providing insights into employee sentiment and identifying potential risks. By analyzing employee data, such as feedback surveys, performance reviews, and social media activity, the system can identify factors that contribute to employee satisfaction and predict potential attrition.

• Sentiment Analysis: Oracle HCM AI can analyze employee feedback data to identify patterns and trends in employee sentiment. This allows HR professionals to understand what factors are driving employee satisfaction and identify areas for improvement.
• Attrition Prediction: By analyzing historical data and current employee behaviors, Oracle HCM AI can predict which employees are at risk of leaving the organization. This allows HR professionals to take proactive steps to retain valuable employees, such as offering targeted incentives or addressing specific concerns.
• Personalized Communication: Oracle HCM AI can help HR professionals personalize communication with employees based on individual preferences and needs. This can include tailored recommendations for development opportunities, personalized career paths, and targeted communication about company events and initiatives.

Talent Acquisition

Oracle HCM AI empowers organizations to streamline their talent acquisition process by automating tasks, identifying top talent, and improving candidate experience. The AI-powered features analyze candidate data, predict candidate success, and provide insights to help recruiters make informed hiring decisions.

• AI-Powered Job Descriptions: Oracle HCM AI can analyze existing job descriptions and suggest improvements to attract a wider pool of qualified candidates. This includes identifying s that are commonly used by candidates and suggesting language that is more inclusive and appealing to diverse talent pools.
• Candidate Success Prediction: Oracle HCM AI can analyze candidate data and predict their likelihood of success in a particular role based on their skills, experience, and personality traits. This allows recruiters to focus on candidates who are most likely to be successful in the long term.
• Automated Candidate Communication: Oracle HCM AI can automate candidate communication, such as sending out interview confirmations, providing feedback, and keeping candidates updated on the hiring process. This improves the candidate experience and reduces the administrative burden on recruiters.

Oracle HCM AI Use Cases

Oracle HCM AI can be leveraged across various industries to enhance HR functions, improve employee experience, and boost overall organizational performance. This section will explore some real-world use cases, examining the impact of Oracle HCM AI on recruitment, performance management, and employee engagement.

Recruitment

Oracle HCM AI can significantly streamline the recruitment process, helping organizations identify and attract the best talent.

• Automated Candidate Screening: Oracle HCM AI can automatically screen resumes and applications, filtering out unqualified candidates and identifying those who best match the job requirements. This allows recruiters to focus on the most promising candidates, saving time and resources. For example, a large retail company can use Oracle HCM AI to automatically screen thousands of applications for a sales associate position, identifying candidates with relevant experience and skills.
• Predictive Analytics for Hiring Success: Oracle HCM AI can analyze historical hiring data to identify patterns and predict the likelihood of candidate success in a role. This information can be used to make more informed hiring decisions and reduce the risk of hiring mismatches. For instance, a technology company can use Oracle HCM AI to analyze past hiring data and predict the likelihood of a candidate’s success in a software engineering role based on their skills, experience, and cultural fit.
• AI-powered Candidate Engagement: Oracle HCM AI can automate candidate communication and engagement, providing personalized experiences throughout the recruitment process. This can improve candidate satisfaction and reduce time-to-hire. For example, a financial services firm can use Oracle HCM AI to send automated emails and text messages to candidates, providing updates on their application status and answering their questions.

Performance Management

Oracle HCM AI can revolutionize performance management by providing insights into employee performance and development needs.

• Performance Prediction and Coaching: Oracle HCM AI can analyze employee performance data to identify potential performance issues and provide early intervention. This allows managers to coach employees proactively and improve their performance. For example, a manufacturing company can use Oracle HCM AI to identify employees at risk of low performance based on factors like attendance, productivity, and feedback. Managers can then provide targeted coaching to help these employees improve their performance.
• Personalized Development Plans: Oracle HCM AI can analyze employee skills, experience, and performance data to create personalized development plans. This helps employees identify their strengths and weaknesses and develop their skills to reach their full potential. For instance, a technology company can use Oracle HCM AI to create personalized development plans for employees based on their career aspirations, skills gaps, and performance data.
• Automated Performance Reviews: Oracle HCM AI can automate performance reviews, freeing up managers’ time to focus on other tasks. This can also improve the objectivity and consistency of performance evaluations. For example, a healthcare organization can use Oracle HCM AI to automate the collection of performance data, generate performance reports, and provide feedback to employees.

Employee Engagement

Oracle HCM AI can enhance employee engagement by providing personalized experiences and insights.

• Employee Sentiment Analysis: Oracle HCM AI can analyze employee feedback data to understand employee sentiment and identify areas for improvement. This allows organizations to address employee concerns and create a more positive work environment. For example, a software company can use Oracle HCM AI to analyze employee survey data and identify trends in employee satisfaction, engagement, and morale.
• Personalized Communication and Recognition: Oracle HCM AI can personalize communication and recognition programs, making employees feel valued and appreciated. This can improve employee engagement and motivation. For instance, a retail company can use Oracle HCM AI to send personalized messages to employees based on their performance, achievements, and interests.
• AI-powered Learning and Development: Oracle HCM AI can personalize learning and development programs, recommending relevant courses and resources based on employee skills and career goals. This can help employees develop their skills and advance their careers. For example, a financial services company can use Oracle HCM AI to recommend online courses and training materials to employees based on their roles, skills, and career aspirations.

Benefits of Oracle HCM AI

Oracle HCM AI offers a range of benefits for organizations looking to streamline HR processes, improve employee engagement, and gain a competitive edge. By leveraging AI-powered insights and automation, organizations can enhance efficiency, reduce costs, and foster a more positive work environment.

Impact on HR Efficiency

The implementation of Oracle HCM AI significantly enhances HR efficiency by automating repetitive tasks and streamlining workflows. This frees up HR professionals to focus on strategic initiatives, such as talent development and employee engagement. For example, Oracle HCM AI can automate tasks like onboarding, payroll processing, and performance reviews, reducing manual effort and improving accuracy.

• Reduced administrative burden: AI-powered automation can handle tasks like data entry, scheduling, and document processing, freeing up HR professionals to focus on strategic initiatives.
• Faster processing times: Automation can significantly speed up tasks like payroll processing, onboarding, and performance reviews, improving efficiency and employee satisfaction.
• Improved data accuracy: AI algorithms can identify and correct errors in data entry, reducing the risk of inaccuracies and ensuring reliable information for decision-making.

Cost Savings

Oracle HCM AI helps organizations achieve cost savings by automating processes, reducing manual errors, and optimizing resource allocation. By eliminating manual tasks and improving data accuracy, organizations can reduce administrative costs and optimize their HR budget.

• Reduced labor costs: Automation of repetitive tasks reduces the need for manual labor, leading to significant cost savings in the long run.
• Improved resource allocation: AI-powered insights can help organizations optimize resource allocation by identifying talent gaps and forecasting future workforce needs.
• Reduced errors and rework: Automation minimizes human errors, reducing the need for rework and associated costs.

Enhanced Employee Satisfaction

Oracle HCM AI can improve employee satisfaction by providing personalized experiences, streamlining processes, and fostering a more engaged workforce. By leveraging AI-powered insights, organizations can understand employee needs better, offer tailored benefits, and create a more positive work environment.

• Personalized employee experiences: AI can analyze employee data to provide personalized recommendations for training, development, and career opportunities, leading to increased job satisfaction and retention.
• Improved communication and engagement: AI-powered chatbots can provide employees with instant access to information and support, improving communication and engagement.
• Enhanced employee well-being: AI can identify potential employee burnout and provide personalized recommendations for stress management and work-life balance.

Integration with Oracle HCM Cloud

Oracle HCM AI seamlessly integrates with other Oracle HCM Cloud modules, creating a comprehensive and intelligent human capital management solution. This integration enables a smooth data flow and interoperability between different modules, enhancing the overall functionality and value of Oracle HCM.

Data Flow and Interoperability

The integration of Oracle HCM AI with other modules facilitates a seamless flow of data across the entire HCM ecosystem. This data flow enables AI-powered insights and predictions to be applied across various HCM processes, enhancing decision-making and improving efficiency.

• Recruitment: Oracle HCM AI integrates with Oracle Talent Acquisition Cloud to analyze candidate data, predict candidate success, and recommend the best candidates for open positions. This integration optimizes the recruitment process by identifying top talent and reducing time-to-hire.
• Performance Management: Oracle HCM AI integrates with Oracle Performance Management Cloud to provide insights into employee performance, identify potential issues, and suggest personalized development plans. This integration helps organizations foster a culture of continuous improvement and enhance employee engagement.
• Compensation and Benefits: Oracle HCM AI integrates with Oracle Compensation and Benefits Cloud to analyze compensation data and identify potential pay equity issues. This integration helps organizations ensure fair and competitive compensation practices, attracting and retaining top talent.
• Learning and Development: Oracle HCM AI integrates with Oracle Learning Cloud to personalize learning experiences for employees based on their skills, roles, and career goals. This integration enables organizations to build a highly skilled workforce and enhance employee productivity.
• Workforce Planning: Oracle HCM AI integrates with Oracle Workforce Planning Cloud to analyze workforce data and predict future workforce needs. This integration helps organizations plan for future workforce requirements and ensure they have the right talent in place to achieve their business goals.

Enhanced Functionality and Value

The integration of Oracle HCM AI with other Oracle HCM Cloud modules delivers significant benefits, enhancing the overall functionality and value of Oracle HCM.

• Improved Decision-Making: AI-powered insights and predictions provide organizations with data-driven insights to make informed decisions about talent acquisition, performance management, compensation, and workforce planning.
• Increased Efficiency: Automation of repetitive tasks and processes frees up HR professionals to focus on strategic initiatives and value-added activities.
• Enhanced Employee Experience: Personalized experiences and tailored development opportunities contribute to a more engaged and satisfied workforce.
• Reduced Costs: Optimization of HR processes and improved decision-making lead to significant cost savings for organizations.
• Competitive Advantage: By leveraging AI to optimize talent management, organizations can gain a competitive advantage in attracting, developing, and retaining top talent.

Data Security and Privacy

Oracle HCM AI prioritizes data security and privacy, ensuring the protection of sensitive employee information. Robust measures are in place to safeguard data from unauthorized access, use, disclosure, alteration, or destruction.

Data Security Measures

Oracle HCM AI implements a comprehensive suite of security measures to protect data integrity and confidentiality. These measures include:

• Data Encryption: Sensitive data, such as employee personal information and payroll records, is encrypted both in transit and at rest. This ensures that even if data is intercepted, it remains unreadable without the appropriate decryption keys.
• Access Control: Oracle HCM AI employs role-based access control, granting users only the necessary permissions to access specific data. This prevents unauthorized individuals from accessing sensitive information.
• Auditing and Monitoring: System activity is continuously monitored and audited to detect any suspicious behavior or unauthorized access attempts. This allows for proactive identification and mitigation of potential security threats.
• Security Certifications: Oracle HCM AI undergoes regular security audits and certifications, such as ISO 27001 and SOC 2, to demonstrate compliance with industry best practices and standards.

Data Privacy Protection

Oracle HCM AI is designed to protect employee data privacy in accordance with relevant regulations and best practices. This includes:

• Data Minimization: Oracle HCM AI only collects and processes data that is necessary for its intended purpose, minimizing the amount of sensitive information stored and processed.
• Data Retention Policies: Data is retained only for as long as it is required for legal, regulatory, or business purposes. After the retention period, data is securely deleted or anonymized.
• Data Subject Rights: Employees have the right to access, correct, and delete their personal data stored within Oracle HCM AI. They also have the right to restrict or object to the processing of their data.
• Privacy by Design: Data privacy is considered at every stage of the development and deployment of Oracle HCM AI, ensuring that privacy is built into the system from the ground up.

Compliance with Data Protection Regulations

Oracle HCM AI is designed to comply with various data protection regulations, including:

• General Data Protection Regulation (GDPR): Oracle HCM AI adheres to the principles of GDPR, such as lawfulness, fairness, and transparency, ensuring that data is processed in a lawful and ethical manner.
• California Consumer Privacy Act (CCPA): Oracle HCM AI supports the CCPA’s requirements for data transparency, access, deletion, and opt-out rights for California residents.
• Other Regional Regulations: Oracle HCM AI complies with other relevant data protection regulations, such as the Brazilian General Data Protection Law (LGPD) and the Asia-Pacific Economic Cooperation (APEC) Cross-Border Privacy Rules.

Implementation and Deployment

Implementing Oracle HCM AI requires a strategic approach to ensure successful adoption and maximize its benefits. This section Artikels a step-by-step guide, key considerations, and deployment models to facilitate a smooth implementation process.

Implementation Steps

A structured approach is essential for a successful Oracle HCM AI implementation. The following steps provide a roadmap for integrating this technology into your organization:

1. Define Business Objectives and Scope: Clearly define the specific business objectives you aim to achieve with Oracle HCM AI. Identify the key areas where AI can add value, such as talent acquisition, performance management, or employee engagement. This step helps to narrow down the scope of the implementation and ensure that it aligns with your overall HR strategy.
2. Data Preparation: Oracle HCM AI relies on accurate and comprehensive data for effective insights and predictions. This step involves gathering data from various sources, including your existing HCM system, HR databases, and other relevant systems. Data cleansing, standardization, and enrichment are crucial to ensure data quality and accuracy.
3. Model Selection and Configuration: Oracle HCM AI offers a range of pre-built AI models for different HR functions. Choose the models that best address your business objectives and configure them according to your specific requirements. This step involves defining input parameters, setting thresholds, and customizing model behavior.
4. Pilot Testing and Validation: Conduct pilot testing to evaluate the performance of the selected models and ensure that they meet your expectations. Gather feedback from users and stakeholders to identify any areas for improvement. This step allows for fine-tuning the models and validating their effectiveness before full-scale deployment.
5. User Training and Adoption: Train users on how to effectively use Oracle HCM AI and understand its capabilities. Provide ongoing support and resources to help users navigate the platform and leverage its features. Change management strategies are essential to promote user adoption and ensure that the implementation is successful.
6. Deployment and Monitoring: Once the models have been validated and users are trained, deploy Oracle HCM AI across your organization. Monitor the performance of the AI models and gather feedback from users to identify any issues or areas for optimization. Continuous monitoring ensures that the AI solution remains effective and delivers the desired outcomes.

Key Considerations

Several key considerations are crucial for successful Oracle HCM AI implementation:

• Data Quality and Security: Oracle HCM AI relies heavily on data quality. Ensuring data accuracy, completeness, and consistency is paramount. Robust security measures are essential to protect sensitive employee data and comply with privacy regulations.
• User Acceptance and Training: Effective user training is essential to foster adoption. Explain the benefits of Oracle HCM AI and provide clear instructions on how to use the platform. Addressing user concerns and providing ongoing support is crucial for long-term success.
• Change Management: Implementing Oracle HCM AI involves significant changes to HR processes and workflows. Communicate the benefits of the new system, address concerns, and provide adequate support to facilitate a smooth transition.
• Integration with Existing Systems: Oracle HCM AI should seamlessly integrate with your existing HR systems. Ensure that data can be transferred efficiently and that the AI solution complements existing workflows.

Deployment Models

Oracle HCM AI can be deployed in various models to meet the specific needs of your organization:

• Cloud-Based Deployment: This model offers flexibility and scalability. Oracle HCM AI is hosted in the cloud, allowing you to access it from anywhere with an internet connection. This option eliminates the need for on-premises infrastructure and simplifies maintenance.
• On-Premises Deployment: This model provides greater control over data security and infrastructure. Oracle HCM AI is installed and managed on your own servers. This option might be suitable for organizations with strict data security requirements or limited internet connectivity.
• Hybrid Deployment: This model combines the benefits of both cloud and on-premises deployment. Certain aspects of Oracle HCM AI might be hosted in the cloud, while others are managed on-premises. This approach allows for flexibility and customization while addressing specific security concerns.

Future Trends in Oracle HCM AI

The landscape of AI is constantly evolving, and these advancements are poised to reshape the future of Oracle HCM. As AI technologies mature and become more sophisticated, they will play an increasingly pivotal role in streamlining HR processes, enhancing employee experiences, and driving business growth.

Emerging Trends in AI and Their Impact on Oracle HCM

Emerging trends in AI will have a profound impact on Oracle HCM. These trends will lead to the development of more sophisticated and insightful AI-powered solutions that will revolutionize how HR operates.

• Hyperautomation: This trend involves automating as many processes as possible, leveraging AI to handle repetitive tasks and free up HR professionals to focus on strategic initiatives. Oracle HCM AI can be used to automate tasks such as onboarding, payroll processing, and performance reviews. This will enable HR teams to become more efficient and agile.
• Generative AI: Generative AI models, such as Kami, can be used to create content, automate tasks, and provide personalized experiences. In the context of Oracle HCM, generative AI can be used to create personalized learning materials, generate automated responses to employee inquiries, and assist with talent acquisition by screening resumes and identifying potential candidates.
• Explainable AI (XAI): As AI models become more complex, it is crucial to understand how they arrive at their decisions. Explainable AI aims to make AI models transparent and interpretable, allowing HR professionals to trust and understand the reasoning behind AI-driven recommendations. This will enhance the acceptance and adoption of AI in HR.
• AI-Powered Talent Acquisition: AI is already transforming talent acquisition by automating tasks like candidate screening, job matching, and interview scheduling. In the future, AI will be used to create more personalized candidate experiences, identify hidden talent pools, and predict candidate success. Oracle HCM AI can be used to create more effective and efficient talent acquisition processes, resulting in a better candidate experience and a more diverse workforce.

Future Development and Evolution of Oracle HCM AI

Oracle HCM AI is constantly evolving to meet the changing needs of HR professionals.

• Enhanced Predictive Analytics: Oracle HCM AI will leverage advanced analytics to provide more accurate and actionable insights into workforce trends, employee performance, and talent acquisition. This will enable HR teams to make data-driven decisions and optimize their strategies.
• Integration with Other Technologies: Oracle HCM AI will seamlessly integrate with other emerging technologies, such as blockchain, the Internet of Things (IoT), and virtual reality (VR), to create more immersive and engaging employee experiences. For example, AI-powered chatbots can be used to provide employees with personalized support and guidance, while VR can be used to create realistic simulations for training and development.
• Increased Personalization: Oracle HCM AI will focus on providing personalized experiences for employees, tailoring recommendations and information to individual needs and preferences. This will improve employee engagement and satisfaction, leading to increased productivity and retention.

Potential Impact of AI Trends on the Future of HR and Work

The impact of AI on HR and work will be profound and far-reaching.

• Shift in HR Roles: AI will automate many tasks currently performed by HR professionals, freeing them to focus on more strategic and human-centric activities. This will require HR professionals to develop new skills, such as data analysis, AI literacy, and change management.
• Future of Work: AI will transform the nature of work itself, creating new jobs and roles while eliminating others. This will require organizations to invest in employee training and development to prepare their workforce for the future of work. For example, Oracle HCM AI can be used to identify skills gaps and develop personalized training programs to upskill employees.
• Employee Experience: AI will enhance the employee experience by providing personalized support, tailored learning opportunities, and more efficient and streamlined processes. This will lead to increased employee engagement, productivity, and retention.

Conclusive Thoughts: Oracle Hcm Ai

Oracle HCM AI is a game-changer for organizations seeking to transform their HR practices. By leveraging the power of artificial intelligence, it empowers HR professionals to make data-driven decisions, improve efficiency, and create a more engaging and rewarding workplace for employees. As AI technology continues to evolve, we can expect Oracle HCM AI to become even more sophisticated and impactful, further shaping the future of HR and work.