Supporting Employees in the Workplace

 

Logic20/20 pic

Logic20/20
Image: logic2020.com

Christian O’Meara serves as the CEO of Logic20/20, a Seattle-based consulting firm. With extensive knowledge of strategic growth pathways, Christian O’Meara emphasizes the importance of investing in those who make up the workforce.

Logic20/20 team members are treated with respect, and their talents are embraced in ways that motivate them to expand their skill sets and lead others. The basic philosophy at the company is that aspects of performance, such as home life, work life, and emotional and physical well-being, are deeply interconnected. When employees are supported in the various facets of well-being, including those not directly related to the workplace, overall performance and job satisfaction increase.

In practical terms, this philosophy may include employee sports teams, such as soccer, basketball, and softball. For employees who do not enjoy sports, other activities are available, including video game competitions and board game matches.

A highlight for many workers is Lego building, with sets on a communal work table. By engaging in sports, games, or other leisure activities, employees can relax, unwind, and socialize in ways that help form the foundations of future collaborative efforts.

Advertisements

Artificial Intelligence and its Potential

 

Christian O'Meara

Christian O’Meara

The co-founder and CEO of the technology and business consulting company Logic 20/20, Christian O’Meara leverages advancements in technology to provide business-focused solutions. Focused on assisting companies in solving business and technological challenges, Christian O’Meara has written about the ways in which artificial intelligence and machine learning could help businesses.

While popular culture has led many people to associate artificial intelligence (AI) with fearsome and potentially dangerous robots, the truth about the technology’s potential is much more comforting and is revolutionizing business operations. Generalized AI, in which machines can think and make decisions, is still far outside our reach. What we have is known as “weak AI,” or specialized machine learning in which people train machines to perform particular tasks.

Machine learning uses algorithms and data sets to create a model, which can then allow a machine to process new data. The possibilities for this technology span many fields, ranging from medicine to retail.

Studies have shown that machine learning could improve the ability of health care teams to predict which patients are at high risk for strokes or heart attacks, thus improving preventive medicine and patient care. When applied to the retail industry, machine learning could predict consumers’ actions in ways that improve the effectiveness of customer service and product development.