Sold by: Datum Consulting
Datum Consulting’s “GenAI for Executive Insights” enables leaders to ask natural-language questions and receive instant, AI-driven answers—no specialized expertise needed. By combining AWS Bedrock’s generative AI, OpenSearch for rapid data indexing, and AWS Fargate for serverless scalability, executives gain a unified view of critical metrics. An administrative interface manages secure access, while Terraform and a GitLab CI/CD pipeline automate deployments, fostering agility and innovation. This solution reduces reliance on static reports, accelerates decision-making, and cultivates a data-centric culture.
Overview
Our “GenAI for Executive Insights” solution streamlines decision-making by providing C-level leaders with real-time answers to business-critical questions in a natural, conversational format. By aggregating data from multiple sources into a single, AI-powered dashboard, organizations can identify trends, respond swiftly to market shifts, and reduce the time spent on manual reporting.
We employ a cutting-edge Agentic workflow strategy (Langchain and LangGraph) along with DevOps best practices—Terraform-based Infrastructure as Code, fully automated CI/CD, and serverless compute on AWS Fargate. Together, these ensure secure, on-demand scaling and simplified management. AWS Bedrock’s generative AI models continuously improve, while OpenSearch quickly indexes both structured and unstructured data, guaranteeing near real-time analytics and robust data governance.
What Customers Get
- Secure, conversational AI interface for executive-level insights
- Automated summaries and visualizations of key business metrics
- Role-based administrative console for data governance
- Scalable, serverless infrastructure with on-demand resource management
- Automated deployment and updates via Terraform & GitLab CI/CD
Approach & Steps
- Discovery Workshops: Identify data sources, governance needs, and executive priorities
- Infrastructure Setup: Configure AWS Fargate, OpenSearch, and security policies using Terraform
- AI Integration: Implement AWS Bedrock models alongside Agentic workflows for natural-language Q&A
- PoC Validation: Test performance, indexing speed, and integration points in a controlled environment
- Deployment & Optimization: Roll out the solution, providing continuous updates and scalability tuning
Highlights
- Leaders can ask plain-language questions and get real-time, AI-backed answers, cutting out delays from traditional BI processes.
- Built on AWS Fargate with IAM controls, the solution automatically scales to meet demand while safeguarding sensitive data.
- Automated infrastructure management (Terraform, CI/CD) and evolving AI models (AWS Bedrock) minimize maintenance costs and keep the platform cutting-edge.
Details
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Delivery method
Deployed on AWS
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To find out more, please reach out to contacts@datumhq.com , or enquire via our website datumhq.com