The emergence of new technology breaks barriers every day. Artificial Intelligence (AI) and Natural Language Processing (NLP) are some of the few that have revolutionized the future of work. These technologies have permeated through various industries and sectors, transforming work processes and enhancing productivity in unprecedented ways.
While there are many factors that can increase stress levels in individuals today, the workplace is one of the most prominent causes. Prolonged stress increases the chances of poor mental health among individuals which lead to other symptoms like insomnia, perpetual fatigue, irritability and lack of concentration. According to the World Economic Forum, individuals are now more likely to prioritize their health and well-being emerging from the pandemic.
Data intelligence can be a valuable tool for expediting the project lifecycle. By providing real-time insights, businesses can identify and address bottlenecks in their processes, improve transparency within the team, and make informed data-driven decisions that accelerate project completion. To fully harness the potential of data intelligence, there are several aspects that can be optimized in a project.
The threat of a recession has been looming for months. Mass layoffs across firms in the finance and tech industry are the first signs of it unfolding. In January 2023, Goldman Sachs let go of more than 3,000 staff which amounts to about 6.5% of their workforce. Closer to end of January, tech-giant Google also laid off about 12,000 employees.
Bertram Gross, a political science professor, coined the term ‘information overload’ in 1964. He defined it as an excess of information. This excess causes a loss in decision-making ability, processing information, and task prioritization. Recently, the term ‘information overload’ has gained traction again. We have entered the “information era.” Communication technology advancements have expedited information receipt. People are more interconnected. Messages can be sent and received at any time. Information…
Moving out of the pandemic, many people are starting to prioritize work-life balance more than ever before. This manifests itself in job searches by having “work-life balance” as a soft factor, alongside hard factors like pay. Individuals would also much rather work for companies that have values aligning with their own.
As we undergo a digital transformation, data is king. It has taken an important role in informing decisions and providing business insights for a company. Despite this, not all companies have the same level of data maturity. Data maturity is a measurement of how advanced is a company’s data analysis.
In the recent Twitter saga, Elon Musk has mandated employees to return to office for work. The remote work arrangement gained popularity during the pandemic. However, because the pandemic was not a planned event, this arrangement is considered an anomaly and is oftentimes not stipulated in contractual agreements.
During the pandemic, companies had to resort to remote working arrangements but feared that it could lead to employees slacking off. As such, many made it mandatory for employees to install activity monitoring trackers on their devices despite productivity levels soaring during these times. These trackers are able to record things like keystrokes, number of minutes without activity, time spent on phone etc.
The technology adoption lifecycle is a model that describes the rate of adoption of new innovations. While this rate varies from individual to individual, it is even harder for an entire organization to unanimously adopt new technology.
