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Dataiku Solutions for the Public Sector
Inventory Allocation Optimization
The goal of this adapt and apply solution is to show retail organizations how Dataiku can be used to optimize stock levels across locations, improve fulfillment SLAs, and minimize order shipping costs.
AML Alert Triage
LThe goal of this adapt and apply solution is to show Financial Crime analysts how Dataiku can be used to support initial assessment through risk likelihood prioritization and review effectiveness of used business rules.
Process Mining
Lucid Software is now FedRAMP Authorized at the Moderate security impact level becoming the first visual collaboration platform available on the FedRAMP Marketplace.
Social Determinants of Health
The goal of this plug-and-play solution is to discover where community-level social disparities and vulnerabilities align with chronic disease prevalence to drive therapeutic access and health equity programs.
Production Quality Control
The goal of this adapt and apply solution is to show Factory Management and Operations teams how Dataiku can be used to improve the quality of your production and adjust your manufacturing processes in near real-time.
Distribution Spatial Footprint
The goal of this ready-to-use solution is to accelerate the discovery of potential Adverse Drug Reaction (ADR) signals. It enables users to upload quarterly data from spontaneous reporting systems and uses statistical metrics to generate disproportional frequencies of drugs and even pairs across various populations.
Pharmacovigilance
Lucid Software is now FedRAMP Authorized at the Moderate security impact level becoming the first visual collaboration platform available on the FedRAMP Marketplace.
Drug Repurposing Graph Generator
Graph analytics offers a fantastic opportunity to accelerate the discovery of new links between specific drugs, diseases, or genes in order to identify opportunities for repurposing existing drugs. However, building graphs can be tedious and limited to specialized expert teams. Through Generative AI — in this specific case, large language models (LLMs) — analytics teams and R&D experts can easily explore relevant relationships between data, using graphs automatically generated with simple prompts in natural language.
Interactive Document Intelligence
The goal of this plug and play solution is to automatically consolidate unstructured documents into a unified, searchable and thematically categorized database, leverage sentiment analysis to accelerate analysis, and provide end users with an interactive dashboard to analyze their document corpus all within Dataiku.
Customer Review Analyzer
Go beyond understanding simple patterns and trends based on the volume of customer reviews with Generative AI — more specifically large language models (LLMs). Use this technology to extract elements from reviews to include entity recognition meta-data, down to sentiment analysis on specific product dimensions such as size, fit, quality, fabric, color, or other product-specific values.