Implementing people analytics to support team management and improve the employee experience

How to efficiently use data and AI to solve HR business challenges, while providing strategic support to stakeholders

Enhancing People Analytics to deliver sustainable behavioral changes

Finding the right balance between setting up a data-driven organization and unlocking employee potential

Building the internal HR Digital toolset – how to go beyond standard analytics and metrics?

How to make the AI rollout a success through HR, Business, and IT collaboration

How People Analytics and Data Science are supporting the adoption of new ways of working by applying operations research techniques to HR

Better understanding of main challenges and opportunities brought by data and analytics for workforce planning

Implementing cost workforce models for improved short- and long-term workforce planning strategy

How to get a better organization and skill gap understanding through Talent Intelligence

Building a robust HR Marketing strategy through analytics and AI to optimize content for your target group and improved employer branding

How to get a better understanding of your recruiting process through data analytics

Automating and modernizing recruitment while ensuring fair use of new technologies

Using Machine Learning and AI solutions to get employee and customer feedback for culture change

Implementing Micro-Polling as a people analytics tool to enable good employee experience

How to set up an ongoing survey process to keep data updated during changing environments while avoiding survey fatigue

Setting up an effective employee voice listening plan with the help of AI and Analytics tools

Identifying what information can be collected and how to properly handle it

Best tools for text digestion and employee sentiment understanding

Maximizing value from employee listening for appropriate action while ensuring data confidentiality

Creating an AI-based skills architecture to establish a Career Marketplace through skill-based job matching and upskilling

Using employee data and machine learning to enhance employee retention while addressing data privacy issues

Using AI for skill management for better workforce planning and tailored employee development programs

Identifying content needs for efficient learning investment

Better understanding of the potential effects of AI and Machine Learning in your Talent Management strategy

Building analytical skills and the right mindset for robust business success support