The past few years have been riddled with unforeseen challenges across the public sector. Whether it was the COVID-19 pandemic significantly accelerating digital transformation or unfavorable macroeconomic conditions leading to budget cuts, recessions, and layoffs, as a public sector leader, there’s no doubt you have to adapt to new realities and do more with less. But how?
Most organizations aim to consolidate tools and invest in technology that allows teams to become more agile and data-driven. This, in theory, should enable them to reduce silos, focus on core priorities, and rethink traditional processes leading to optimized workforce productivity, increased return on investment, and innovation.
Despite leaders aspiring to build data-driven organizations, the reality is that 65% of public sector leaders still struggle to utilize data continuously — in real time and at scale. Many leaders are tackling this need by using AI and generative AI. But to reach that level of advanced maturity and harness the power of these next-generation technologies, public sector teams need a strong data foundation that can manage exponentially growing data volumes, all while dealing with complex business challenges.
How are your peers rising to the data challenge? How are they using AI and generative AI (GenAI) on their data maturity journey?
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