A Washington, D.C. think tank recently released reports advocating using artificial intelligence (AI) tools to reorganize the federal government. There has been a larger debate about the effects of automation on the private sector and the American economy, but this appears to be one of the few reports focusing on the federal government. According to the think tank, the U.S. government “could yield $23.9 billion in reduced personnel costs and a reduction in the size of the federal workforce by 288,000.
Learning—and practicing—five imperatives of network leadership can help agencies improve their odds for successful digital transformation. Many organizations are undergoing digital transformation because the organizations see that it is necessary for long-term survival. However, digitally reinventing the organization is “one of the hardest journeys to make.” According to industry experts, two-thirds of organizations will fail at digital transformation. With these dismal odds, what can agency leaders do to improve their agency’s chances in successfully digitally transforming?
Since 2007, a major consulting firm has conducted an annual survey on organizations’ “Digital IQ.” In the ten years of organizations grappling with digital transformation, what has been learned? From the report: Focus on the human experience [emphasis in the original]: Rethink how you define and deliver digital initiatives, consider employee and customer interactions at every step of the way, invest in creating a culture of tech innovation and adoption, and much more.
In the last national election, the earliest born members of Generation Z voted for the first time. In 2019, the American workforce will see the influx of tens of millions of Gen Zers who, according to some researchers, will be a stark contrast to the Millennials that will make the largest part of the 2020 workforce. According to one researcher’s study of Gen Z, this generational group has seven distinguishing traits:
This week, I want to briefly discuss the human resources challenges in finding the new IT technology workers for the government. As agencies move toward microservices, artificial intelligence chatbots, and deep learning application programming interfaces (APIs), the demand for experts in these fields continues to grow fast. The universities and professional development programs are not churning out the talent fast enough while governments are competing with private industry for what experts are currently available.