Melissa Selin Aktas’ Post

AI is reshaping HR by turning stagnant data into valuable insights. Through automation and predictive analytics, HR teams can streamline processes and boost overall efficiency. With 300 million terabytes of data being generated every day, there is no other way of transforming this into valuable insights.

Good news HR teams, you will benefit from Ai capabilities to utilize your dormant HR data. AI is reshaping HR by turning stagnant data into valuable insights. Through automation and predictive analytics, HR teams can streamline processes and boost overall efficiency. Interesting quote: "We have 300 million terabytes of data every day that is getting generated around people. It can become very difficult for HR leaders and business leaders to get insights around these data.”

Why #AI for HR analytics? Traditional approaches to workforce analysis typically involve toggling between systems, reports, dashboards, and hacked-together spreadsheets. 🙅♀️ But modern, AI-powered people analytics is and bringing new visibility, insights, and accessible analytics to more users. Here are 5️⃣ use cases... 1. Talent planning and acquisition. Analyze huge datasets to provide HR teams with predictive, prescriptive, and proactive insights to identify talent gaps, workforce trends, and skill development needs. AI-based intelligent alerting can also identify bottlenecks in a recruitment process, leading to a healthier talent pipeline. 2. Employee integration and development. Transform employee development and training by analyzing employee performance data, identifying skill gaps, and recommending personalized training paths. This accelerates skill acquisition to bolster an organization’s competitiveness. 3. Performance and rewards management. AI-powered people analytics enables anyone (regardless of technical/analytical experience) to search their organization’s people data using natural language and dynamically generated visualizations and summaries. 4. Employee engagement and relations. Harness real-time data across sources, including surveys, feedback platforms, and communication channels. This provides a holistic view of employee sentiment for faster responses to concerns and improved employee retention, morale, and productivity. 5. Talent management and transition: Perform data-driven identification of high-potential employees, track their development, and predict succession needs. This enhances talent retention, minimizes leadership gaps while accelerating leadership development, and offers a more agile approach to responding to talent needs. 👇 Read more about modern, AI-powered people #analytics at the link in the comments.

Confession time: I rely on AI for my meetings, using it to dive deep into research beforehand so I can maximise each conversation without spending hours on prep. AI is not only transforming my workflow and productivity but also revolutionising HR by turning static data into actionable insights. With automation and predictive analytics, HR teams can streamline processes and achieve new levels of efficiency.

AI is revolutionizing HR by turning "dead data" into actionable insights, enhancing decision-making and efficiency. Explore how AI-driven solutions are addressing long-standing data challenges in HR, which can lead to more strategic and informed practices. Read the article from WorkLife. https://lnkd.in/gQSf759q #AI #HR #DataTransformation #HRTech

How AI turns dead data into valuable insight for HR Managers

AI is revolutionizing HR by turning "dead data" into actionable insights, enhancing decision-making and efficiency. Explore how AI-driven solutions are addressing long-standing data challenges in HR, which can lead to more strategic and informed practices. #AI #HR #DataTransformation #HRTech

In the ever-evolving landscape of human resources, staying ahead of the curve is crucial. This WorldatWork article explores how AI can be the game-changer in overcoming the HR analytics deficit. Join us in this deep dive into the future of HR technology and analytics. Let's transform data into action together! https://bit.ly/3VHni16 #HRAnalytics #ArtificialIntelligence #FutureOfWork #HRInnovation #AIinHR #StrategicHR #HRtech #Innovation

A Tale of Predicto: How Predictive Analytics in HR Saved the Day Once upon a time in a bustling corporate kingdom, HR professionals were grappling with the age-old challenge of workforce planning. Amidst the chaos of spreadsheets📊 and endless meetings, a quirky AI assistant named Predicto🤖popped into the scene. Predicto wasn't your typical chatbot; armed with predictive analytics wizardry, she could forecast future talent needs with accuracy. One Monday, the CEO🧑💼, known for sudden staffing requests, called the HR team. Predicto, armed with her digital crystal ball🔮(or so she claimed), confidently forecasted a surge in IT talent demand. The team, initially skeptical, decided to play along. To their surprise, Predicto's predictions were spot on🎯. They avoided a staffing crisis and secured the best IT talent before anyone could blink an eye👀. Months passed, and Predicto's fame soared🌟. Predicto soon became the office oracle, offering advice from team-building strategies (such as implementing cross-functional project teams🤝 and mentorship programs) to predicting which departments would exceed their quarterly goals based on their historical performance📈. In this tech-savvy tale, Predicto showed that AI in HR isn't just about crunching numbers—it adds a dash of whimsy to the daily grind. Predictive analytics in HR enables organizations to predict future workforce needs by analyzing historical data like employee performance metrics🏅and turnover rates. For instance, by studying past hiring trends and turnover patterns, HR teams can predict future recruitment needs and plan talent acquisition strategies strategically. This approach boosts recruitment efficiency⚡, optimizes workforce planning, and enhances retention strategies, ensuring organizations are ready to meet staffing needs.

Our analysis suggests a typical company could save, on average, up to 20% in HR labour time through AI automation and augmentation, said John Hazan, a partner at Bain & Company and global head of the firm's Talent solution