The early days of cloud computing felt boundless. Freed from the limitations of on-premises servers, developers could build exciting new products and services tethered only by their imagination. Unconstrained by bureaucratic processes governing resource utilization, software engineers enjoyed an infinitely scalable palette that could seemingly manifest exactly what they needed
People in all walks of life are rightly concerned about advancing automation: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity.
Automated tools that help to lift, sort, and move goods around warehouses can substantially improve efficiency and quality. But how do the millions of workers employed in warehouses around the world feel about these changes? The authors conducted a series of interviews with on-the-ground workers and identified several common hopes
Automation is everywhere these days. While economists often consider the effects of automation in terms of whether it creates or destroys jobs, less attention is paid to how it changes jobs and the wages paid to the workers that perform them. While there are cases where automation can create higher-paying
Professor Reich comes to Google to discuss the impact of automation & artificial intelligence on our economy. He also provides a recommendation on how we can ensure future technologies benefit the entire economy, not just those at the top. Robert Reich is the Chancellor’s Professor of Public Policy at the
Marketing teams have been struggling for years to adjust to their changing roles amid digital transformation. This year, they’ve added a global pandemic, layoffs, and budget cuts to the ever-changing marketplace. Whereas just a few months ago, many were arguing whether CMOs are even relevant post-digital transformation, marketing teams are
Covid-19 has forced business leaders to accept that automation will arrive earlier than expected. It is therefore timely, albeit in less-than-positive circumstances, to look at which type of companies will, and will not, thrive in the future. Many articles about Artificial Intelligence (AI) have sensationalized the effect of automation as the grim reaper of jobs. However, it will not be jobs that will be automated, but rather tasks within those jobs – in fact any tasks that can be put into a process. The success of companies in the future will depend upon their willingness to find those tasks that can be automated.
Robotic Process Automation (or RPA) is one of the hottest areas in the enterprise technology sector these days, reaching $1.3 billion this year, says Gartner. According to the market research firm, RPA software revenue grew 63.1% in 2018 to $846 million, making it the fastest-growing segment of the global enterprise