New modes of working – the impacts on teams, leaders and people
Entering the pandemic era, organisations had to quickly adapt to remote working and new ways of engaging with customers. Existing...
Entering the pandemic era, organisations had to quickly adapt to remote working and new ways of engaging with customers. Existing...
Contributor David Norfolk sheds light on what the emerging future of work looks like. It will likely involve many workers joining the “gig economy” – a free market system in which temporary positions are common and organisations hire independent workers for short-term commitments.
Imagine having a digital assistant to schedule your next meeting or speaking to a chatbot to help you finalize a challenging task at work. Forward-thinking companies are implementing AI already, with Amazon launching Alexa for Business last year and Google recently trialling its Duplex human-sounding AI. A recent report from Gartner suggests that technology like this will be more commonplace, with one in five workers set to have a machine as their ‘co-worker’ by 2022.
The race towards digital transformation has led to rapid change in the type of service that businesses deliver to their customers, from more intuitive, easy-to-use solutions to immediate response times. But in placing customers at the heart of their product innovation, employers must also place greater emphasis on creating an exceptional employee experience. How can a customer be expected to love the brand if its employees don’t love it first?
The influx of new technologies has kept digital transformation top of mind for C-Level execs for years. The benefits are...
New technologies such as machine learning, natural language processing and cognitive analytics are emerging, empowering business leaders to make better, more informed and effective decisions. However, many executives are already comfortable with how they make decisions, choosing to go with their gut instinct over data analytics. In fact, according to a recent Forbes & PwC survey, two-thirds of business leaders say their own company’s decision-making is only somewhat or rarely data-driven. But should leaders trust their instinct or embrace data-driven decision making?