Research
How AI fosters the connection between what businesses need and what employees want
A viewpoint paper by Fosway
Energising, optimising and empowering an agile high-performance workforce
The research paper by Fosway Group focuses on the role of AI in fostering a connection between the skills businesses require and the aspirations of employees. Companies are using AI to bridge the gap between business skills needs and employee career goals, leveraging talent intelligence to address skill shortages, enhance career paths, increase motivation, and develop skills to retain and grow employee talent.
Skills intelligence, powered by AI, is critical for success as it helps organisations become more fluid and align people to work based on skills, not roles. In order for organisations to make continuous change happen, it's important to energise employees, give them a voice and align their skills with their career aspirations. To create a culture of "I love working here".
Discover the benefits of AI for both employees and employers, including improved career development and a more connected and motivated workforce. The future of work requires rapid innovation, flexibility, and agility and businesses need to continuously transform to meet this demand.
Related Resources
Want to keep learning? Explore our products, customer stories, and the latest industry insights.
Customer Story
The University of Georgia (UGA) scores big time with Cornerstone Learn
Some of the nation’s best and brightest go to the University of Georgia (UGA) to learn. That counts just as much for the people working there as it does for the students in attendance.
Blog Post
A pillar of progress: AI for HR depends on good data
In the ever-evolving landscape of Human Resources (HR) technology, Artificial Intelligence (AI) has emerged as a game-changer. AI-driven tools promise to streamline HR processes, enhance decision-making and revolutionize the employee experience. However, the efficacy of these AI solutions is only partially dependent on the sophistication of algorithms or the power of computational hardware. In fact, a large part of the equation hinges on a fundamental foundation — good data.