randstad
More than a quarter of Britons say they fear losing jobs to AI in next five years
Increased use of AI and automation in businesses is increasingly replacing'low-complexity, transactional roles', the survey showed. Increased use of AI and automation in businesses is increasingly replacing'low-complexity, transactional roles', the survey showed. Survey reveals'mismatched AI expectations' between views of employers and staff over impact on careers More than a quarter (27%) of UK workers are worried their jobs could disappear in the next five years as a result of AI, according to a survey of thousands of employees. Two-thirds (66%) of UK employers reported having invested in AI in the past 12 months, according to the international recruitment company Randstad's annual review of the world of work, while more than half (56%) of workers said more companies were encouraging the use of AI tools in the workplace. This was leading to "mismatched AI expectations" between the views of employees and their employers over the impact of AI on jobs, according to Randstad's poll of 27,000 workers and 1,225 organisations across 35 countries.
- North America > United States (0.30)
- Asia > Malaysia (0.06)
- Oceania > Australia (0.05)
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- Banking & Finance (0.74)
- Leisure & Entertainment > Sports (0.73)
- Government > Regional Government (0.49)
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
Avlonitis, Spyros, Lavi, Dor, Mansoury, Masoud, Graus, David
This study explores the potential of reinforcement learning algorithms to enhance career planning processes. Leveraging data from Randstad The Netherlands, the study simulates the Dutch job market and develops strategies to optimize employees' long-term income. By formulating career planning as a Markov Decision Process (MDP) and utilizing machine learning algorithms such as Sarsa, Q-Learning, and A2C, we learn optimal policies that recommend career paths with high-income occupations and industries. The results demonstrate significant improvements in employees' income trajectories, with RL models, particularly Q-Learning and Sarsa, achieving an average increase of 5% compared to observed career paths. The study acknowledges limitations, including narrow job filtering, simplifications in the environment formulation, and assumptions regarding employment continuity and zero application costs. Future research can explore additional objectives beyond income optimization and address these limitations to further enhance career planning processes.
- Europe > Netherlands > North Holland > Amsterdam (0.05)
- South America > Brazil > Rio de Janeiro > Rio de Janeiro (0.04)
- North America > United States > New York (0.04)
- Asia > Singapore > Central Region > Singapore (0.04)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.35)
Google Reportedly Targeted Homeless People for Facial Recognition Tests
Google recently admitted it had employees walking the streets in several U.S. cities asking people if they wanted to sell their facial data for $5 gift certificates. They were using this data to help improve Pixel 4's face unlock system. Now, the New York Daily News reports that Google contractors have been using some very dubious tactics to get people's facial data. According to several sources who were working for the Daily News, a contracting agency called Randstad sent teams to Atlanta with the specific intention of finding homeless people with dark skin. According to the report, the contractors often didn't say they were recording the individual's faces or that they were working for Google.
How Emerging Technology Can Help Call Center Reps Do More - Retail TouchPoints
Chatbots deliver substantial value to organizations by answering basic questions and fielding simple requests for information. For example, an existing customer can ask a chatbot what a business's hours are or what their refund policy is. These questions, while elementary, are critical to customer satisfaction and would traditionally have required customers to connect with a human over the phone. Chatbots, however, can provide instant, personalized answers to customers while freeing up human reps to spend more time assisting customers with more complex challenges. And if it sounds like chatbots are impersonal, consumers clearly don't feel that way. In fact, messaging is the preferred method of contact when it comes to support for people 55 and under.
Artificial Intelligence Changes Skills Needs
A global online survey of C-suite and HR leaders found that 36 percent of the more than 700 respondents had increased their use of AI and robotics over the previous 12 months. Respondents to Randstad's survey expect AI and robotics to have a positive impact on their businesses, with 70 percent reporting that they plan to hire extensively in the year ahead to keep pace with expected growth. And in the case of Goldman Sachs, while automated trading programs handle clients' investment needs, the firm now employs 200 computer engineers, according to a February 2017 Technology Review report. It's incumbent upon HR professionals to educate their organization's leaders on changing job and skills needs, such as predictive analytics and digital leadership.
artificial-intelligence-changing-skills-needs.aspx
A global online survey C-suite and HR leaders found that 36 percent of the more than 700 respondents had increased their use of AI and robotics over the previous 12 months. Respondents to Randstad's survey expect AI and robotics to have a positive impact on their businesses, with 70 percent reporting that they plan to hire extensively in the year ahead to keep pace with expected growth. And in the case of Goldman Sachs, while automated trading programs handle clients' investment needs, the firm now employs 200 computer engineers, according to a February 2017 Technology Review report. It's incumbent upon HR professionals to educate their organization's leaders on changing job and skills needs, such as predictive analytics and digital leadership.
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Data Science > Data Mining (0.56)