The Federal Data Strategy states that artificial intelligence (AI) provides an extraordinary opportunity for federal agencies to reshape enterprise-level data strategies to achieve mission outcomes. As Presidential Executive Orders put more emphasis on the wide implementation of AI within the government, agencies accelerated AI adoption, integrating the technology into their operations to automate processes, improve quality and increase efficiencies.
The pandemic and other events over the past year have illustrated the need for agencies to anticipate and prevent problems rather than just react to them. Data is a critical component of any operational entity. Agencies are deriving greater insights from data by applying AI and machine learning capabilities to proactively identify trends in service or projected surges in service requirements. Other agencies are applying AI’s pattern recognition capabilities to identify anomalous activity or suspected fraud in federal programs, ensuring the best use and allocation of funds—much faster than humans. Moreover, agencies are using intelligent systems to automate both collection and aggregation of government data, to provide deeper understanding and more targeted analysis.
However, as agencies look to apply AI/ML to improve productivity and operational efficiency, siloed data from legacy systems still pose barriers to achieving the expected outcomes. This webinar will bring together thought-leaders who will discuss how agencies can unleash the power of data analytics and AI to help eliminate data silos, migrate from and retire legacy systems, standardize data collection and ingestion, and integrate data sources both within and across agencies for rapid decision-making and innovation.
Please join us April 14, 2021 to learn how agencies can use AI/ML at scale to accelerate decision making while improving the effectiveness and efficiency of government services.