States now have enormous opportunities to capitalize on the increasing power of artificial intelligence and machine learning in tandem with continuously expanding State Longitudinal Data Systems (SLDS). In most states, SLDS are used to track employment and wage outcomes against an individual’s education and training experiences. These systems primarily integrate educational and workforce data to monitor program and policy outcomes for public sector stakeholders. Currently, 49 states have an active SLDS, with 34 states creating connections among secondary, postsecondary, and workforce data. Many states have also integrated data from public health, social services, criminal justice, and other agencies.
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State Longitudinal Data Systems (SLDS) combined with AI and machine learning offer unprecedented potential for enhancing public services by integrating data across education, workforce, health, and other agencies. Our whitepaper reveals how leveraging Resultant’s AI-driven Workforce Recommendation Engine can transform SLDS data into powerful insights. This transformation directly benefits citizens by providing personalized career and training pathways tailored to individual needs and goals.
Unlock significant improvements in workforce outcomes and empower both citizens and state agencies to address evolving challenges in today's labor market.
Discover how to utilize your longitudinal data effectively, turning raw information into actionable strategies that foster economic mobility and streamline state service delivery.
Dive into the potential your state’s data holds for creating robust and efficient public services.
