The past two decades have seen the workplace transformed by digital advances. Gone are many traditional structures and practices, replaced with new ways of doing business, designed to support collaboration and digitally-enabled remote and flexible working. As the technology behind AI and robotics becomes more sophisticated, the number of jobs that remain untouched by automation will decrease. "To keep pace, businesses must rethink how they organise work, reinvent jobs, redeploy staff and implement robust plans for the future," says Lynda Gratton, professor of management practice at London Business School (LBS). There are also emerging social trends and shifting demographics to consider.

What should traditional banks and credit unions consider in order to offer a level of service that will meet younger generation expectations? Can banking organizations remain relevant in the future, or will they be replaced by fintech or'big tech' alternatives?

Working from home is nothing new. For decades, many businesses--especially tech companies--have offered remote working options. In recent years, that popularity has grown even more. It stood to reason that remote work would continue its upward trajectory. Eventually, working from home could become the rule rather than the exception.

While digital innovation and new technology is developing at a faster pace than ever before, every industry is having to adapt to new process and ways of working all the time. Some businesses are embracing this, and many have even thrived or been created because of it, but the accounting industry generally has found it a challenge. Accountancy is an age old profession, traditionally very process-driven; thus bringing technologies like robotics and automation into the mix has not only changed what clients expect from the service they pay for, but also the way accountants work and what their core responsibilities are. Automation is no longer breaking news, yet many accountancy firms still have a way to go before they are making use of all efficiencies available to them. According to the ICAEW, 25 percent of all businesses are still using paper-based records showing that, even if accounting firms are aware of technological developments, they have not yet taken action to make use of them.

Mentorship has many benefits in the data science industry. For young data, science enthusiast mentoring can not only fill their knowledge gap about the real world industry but can also help in improving their skills and core understanding of using data science for businesses. For organisations, having a mentoring program can help in enhancing the teamwork between employees and to improve employee skills. In a typical mentoring session, older executives and data scientists with greater seniority take in young mentees who are enthusiastic about learning data science. However, with the progress in technology and more executives from generation X and Y coming in the forefront of the workforce, 'reverse mentoring' has stood out to be beneficial for several organisations.