The demand for public sector efficiency is higher than ever. Civil servants are working with tighter budgets, smaller teams and rising expectations. Despite their efforts, critics and stakeholders believe they could still do more.
If there has ever been a time for a miracle, it is now. AI is a promising solution that is helping achieve the long-standing goal of government efficiency. Although the adoption of AI in the public sector has lagged, momentum is gaining as governments see the agility that AI offers to improve services, outcomes and program efficiencies.
What if there was one more miracle? That could alleviate some burdens and make AI accessible, scalable and quickly integrated into operations. Enter ready-made AI models tailor-made for the government.
1. Ease your AI adoption
Ready-made models are designed to perform a discreet task and can be integrated into existing data and AI environments, such as a proprietary platform such as SAS® Viya® or open source.
2. Accelerate the ROI on your AI investment
A hybrid strategy to incorporate ready-made AI models can increase productivity. This approach is gaining popularity in both the public and private sectors – particularly for those who may not yet see the full ROI of their AI. Ready-made AI models applied to key processes within an agency’s workflow can accelerate the ROI on the investment and see tangible results – increasing the chance for AI use to be considered for other projects.
3. Leap-frog the time and effort of ground-up AI modeling
Building models from scratch takes time, it’s iterative work and requires marrying the expertise and insights of domain experts with data scientists skilled in AI. Training models is no small task – recognizing bias and being transparent and accurate. Then, the trained models must be continuously monitored. Sounds daunting – and it is likely why organizations struggle with building models. However, ready-made AI models can facilitate deployment with low overhead.
Ready-made AI models, ready now!
Built for when, where and how governments need them, SAS ready-made AI models are portable, industry-focused and designed to tackle business challenges with precision and efficiency.
Free data from paper when possible
While digital transformation is key to improving government efficiency, it can’t entirely replace paper documentation. Government agencies must reach all constituents, including those who don’t have easy access to computers and online resources.
The document analysis model combines traditional analytic techniques with AI to automate scanned documents' "reading" and processing. This method extracts structured and valuable information from scanned document images for analytics, reporting and automated decision-making.
Finding the right person every time
Personally identifiable data of citizens and stakeholders are stored in various government systems. Entity resolution is needed to reconcile these systems, ensuring accurate record matching to maintain analysis integrity and promote trust.
The AI-driven entity resolution model streamlines data integration by identifying and merging records that refer to the same entity, even when unique identifiers are missing. It helps combine tables without key fields and consolidates duplicate records within a single dataset, ensuring individuals assigned multiple IDs are correctly recognized as one.
Prioritizing audit candidates to uncover sales tax discrepancies
The sales tax compliance model uses peer group analysis, trend analysis, and various models to identify businesses likely to have tax compliance issues. It is configurable and offers multiple plug-in points for custom programs to manage data processing, analysis, alert scoring and alert management. The dynamic feedback loop in the scoring process can identify emerging trends and prioritize successful analysis results to refine future audit lead scores.
Ensuring accuracy in food assistance payments
The payment integrity model for food assistance replicates the manual work agencies have traditionally done to identify payment errors but enhances accuracy and efficiency through automation and advanced analytics.
It starts by aggregating existing cases to form peer groups within the population without relying on third-party data. Peer groups are then used to identify outliers in reported income and expenses. Cases with significant deviations from their peer groups are assigned priority scores.
Commitment to innovation
Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AI-powered industry solutions. The investment in AI builds on SAS’ decades-long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.
SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings. An area that is ripe for SAS is productizing models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.
Chandana Gopal, Research Director, Future of Intelligence, IDC
SAS helps the public sector deliver services more efficiently. By preparing for uncertainty and responding quickly to challenges, SAS supports over 1,600 departments, ministries, and agencies in 130 countries with mission-critical activities.
Now, with ready-made AI models built on decades of expertise in applying scalable and trustworthy AI models, governments can operationalize trustworthy AI technology and quickly realize tangible benefits.
