On 8 April, one of the most anticipated events of the year was held in San Diego, California: Talent Tech Labs NEXT, which this year was developed at the ASU GSV headquarters, along with Arizona State University, with the mutual desire to bring clarity and innovation in the area of Talent Acquisition Technology.
Catenon attended to this edition, focused on defining the Future of Talent in companies, ongoing learning and the challenges of training, working on different topics such as the use of Big Data for the identification of talent globally, Artificial Intelligence in recruitment, and new forms of evaluation, remuneration, communication and training.
Moreover, training plays a fundamental role in this revolution, as according to this study, carried out by the World Economic Forum, by 2022, 54% of all employees will need some type of training in new skills to adapt to the digital transformation.
A group of experts reunion
If you don’t already know it, Talent Tech Labs is a group of experts committed to identifying emerging technologies applied to the acquisition of talent, and that connects companies with suppliers to find the best technological solution to their recruitment strategies. It has created an ecosystem of technological solutions that it is impossible not to take into account, becoming a benchmark in technology applied to the search for professionals.
ASU GSV is also a benchmark, a group of high-growth companies that have come together to share experiences and knowledge, and that have spent the last 20 years focused on education and technology applied to human resources, bringing unparalleled experience in the field.
The latest insights: “the need to change educational models”
Around 4500 company leaders from all over the world attended the event to discuss the most advanced technology and the latest trends in talent acquisition and management. What conclusions did we reach?
- The use of platforms and tools for the automation and optimisation of recruitment processes, specifically in sourcing, using data technology for faster and more effective identification of the ideal candidate. Or the use of Artificial Intelligence such as chatbots in the interaction with candidates.
- The transformation of the labour market, new forms of hiring in a collaborative economy, forcing us to change the way we manage talent.
- Main challenges in diversity, new forms of remuneration, and above all, in training, which is where the focus was in this edition, indicating the need to change educational models to adapt them to new needs and the possibility of introducing technology to focus on what is important.
“Under the unified teaching environment, through the accumulation and deep excavation of teaching data, the teaching quality can be improved continuously, fulfilling the goal that the 10th class is better than the 1st class, and the 3,000th class is better than the 2,900th class”, stated Angela Bao. Driven by science and technology, teachers can free themselves from heavy labour and concentrate on the interaction of emotions, individualized guidance and the development of creative thinking to assume better the role of “cultivating people”
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