COVID-19 and its impact have demonstrated that change can be rapid, disruptive, and non-negotiable. This is especially relevant to enterprise risk management, where the challenge can be summed up in one word: recalibration. Many financial institutions have been investing in model-driven analysis and data-anchored approaches. We know that the models themselves must adapt as situations change. But what about the processes and policy governance that surround these models?

For life sciences organizations today, COVID-19 and an increasingly complex regulatory landscape are spurring an urgent need to launch new applications–fast. Yet a number of challenges stand in the way, including complex business processes, concerns about data security and integrity, and even just knowing where to begin on the right tech solution to put in place.

The COVID-19 pandemic has forced government organizations to reassess their strategies, plans, and aspirations for digital transformation. Despite this uncertainty, IT leaders must quickly identify and act on strategies and plans that lead to positive outcomes. In many cases, governments will expand the role of digital technologies in service and program delivery.

Are you excited over the prospect of more automation? I’m amped over it, jacked...you could say I’m even a little hyper over it . Hyperautomation is quickly becoming one of the IT buzzwords of the year.