Proof Of Concepts (POCs)

Proof of concept (POC) is a crucial step when implementing a data-driven solution. GDECA's POCs seek to provide a working prototype to measure the effect of a data solution and learn more about the technology and concepts. When an organization is confident about the project, it can move into full production without any roadblocks or unplanned costs.

This is where GDECA's proof of concept solutions come in. We offer cutting-edge POC solutions that leverage the latest AWS technologies for Generative AI (GenAI), data and analytics. Our POCs are designed to provide quick, low-risk experiences that demonstrate the value and potential of these technologies for your business. With typical POC lengths ranging from 5 to 12 days, you can rapidly explore and validate the benefits of GenAI, data pipelines and automated document processing without significant time or resource commitments. GDECA's POCs can be completed in the customer's AWS account or GDECA's AWS environment. Our team of experts will guide you through the process, ensuring you achieve meaningful results and gain valuable insights to inform your future technology strategies.

POC Practice Highlights

  • AWS-powered solutions for GenAI, data pipelines and document processing
  • Quick delivery in less than 3 weeks
  • Accelerating innovation
  • Low-risk POCs

Details:

  • Perfect for companies looking to start small and explore the potential of GenAI
  • Provides secure access to a Large Language Model (LLM) within your AWS ecosystem
  • Enables basic content generation, summarization, and more

Typical POC Length: 5 days

Specs: One bot, choice of Bedrock supported LLM

Technologies: Amazon Bedrock and SMS

Details:

  • Empowers teams with quick and accurate information from company-specific content such as contracts, policies, reports and more
  • Improves productivity and user experience across operations, support and legal
  • Offers custom data integration via Retrieval Augmented Generation (RAG)

Typical POC Length: 12 days

Specs: One bot, choice of Bedrock supported LLM, custom data via RAG

Technologies: Amazon Bedrock, LangChain, RAG, Amazon OpenSearch, SMS

Use Cases: 

Contracts & Legal

  • Ask questions on deadlines, terms, obligations or clauses and Chat+ will provide the relevant information.

Business Operations

  • Quickly ask and receive information on corporate policies, KPI’s or other reports.

Customer Service & Support

  • Automatically recommend resources to address customer questions or enable representatives to quickly gain access to things like troubleshooting guides, product manuals, service agreements and more.

Details:

  • Consistently aggregates disparate files (JSON, CSV, XML) securely and accurately into a data lake for analytics
  • Enables better data-driven decisions across financial reports, customer trends, supply chain and other functions
  • Ensures data security, quality and consistency

Typical POC Length: 7 days

Specs:

  • Up to 3 JSON, CSV, or XML files (mix and match)
  • Data Lake (S3) - with three areas: ingestion, organized, analysis
  • Change Data Capture (S3 Event Notifications, Lambda Functions) - incremental, cumulative, cumultaive-ytd, cumulative-mtd
  • CDC process that automatically updates "organized" section of the data lake
  • Data is stored in parquet format for better performance and lower cost
  • Transformation (Glue Job, Python Shell)
  • Data aggregation and analysis
  • Transformed data can be explored/queried using Athena
  • Publishing
  • Transformed data is pushed to RDS or Aurora

Technologies: Amazon S3, AWS Lambda, AWS Glue, Python, Amazon Athena, Amazon RDS or Amazon Aurora

Use Cases:

Drug Use & Health Analytics

  • Aggregate, store and process very large datasets from different agencies within a country government to study the effects of Opioid use and understand how Human Services can better serve the citizens.

Government Services

  • Ingest, cleanse, aggregate, analyze, publish, and present data from 26+ government agencies, with various data formats, in order to understand how citizens use the services provided by the county

Details:

  • Simplifies data migration and ongoing replication to AWS
  • Supports various source databases (MySQL, Postgres, Oracle, SQL Server)
  • Quickly and confidently push data in a timely manner to your desired cloud target on AWS

Typical POC Length: 12 days

Specs:

Up to 10 tables from one of the following databases:

  • MySQL
  • Postgres
  • Oracle
  • SQL Server

DMS/Database Migration Service setup:

  • Initial Load
  • On-going Replication
  • Data is saved in the "ingestion" data lake section (bucket)

Data Lake (S3) - with three areas: ingestion, organized, analysis

Change Data Capture (S3 Event Notifications, Lambda Functions) - incremental, cumulative, cumultaive-ytd, cumulative-mtd

  • CDC process that automatically updates "organized" section of the data lake
  • Data is stored in parquet format for better performance and lower cost

Transformation (Glue Job, Python Shell)

  • Data aggregation and analysis
  • Transformed data can be explored/queried using Athena

Publishing

  • Transformed data is pushed to RDS or Aurora

Technologies: AWS DMS, Amazon S3, AWS Lambda, AWS Glue, Python, Amazon Athena, Amazon RDS or Amazon Aurora

Details:

  • Automatically extracts printed text, handwriting and other data from various document types
  • Improves speed, efficiency, and accuracy of document processing
  • Makes document data readily available for analysis and reporting
  • Supports invoices, loan & mortgage documents, contracts, HR onboarding, insurance documents, customer onboarding, medical records, supply chain and inventory documents

Typical POC Length: 7 days

Specs:

  • Two different types of documents
  • Key/Value pairs and Tables
  • Automated pipeline (documents uploaded to S3 will be processed automatically)
  • Results saved as Json and queriable with Athena
  • Optionally will produce a CSV file with specified columns

Technologies: Python, Amazon Textract, Amazon S3, Amazon Athena

Use Cases:

Automatically extract relevant information from documents like:

  • Invoices
  • Loan & Mortgage Documents
  • Contracts
  • HR Onboarding
  • Insurance Documents
  • Customer Onboarding
  • Medical Records

Details:

  • Tailored to your unique business use case and goals
  • Leverages GDECA's AWS expertise for personalized solution design
  • Flexible technologies and timeframe based on your specific needs
  • Collaborative approach ensuring alignment with your evolving requirements
  • Comprehensive evaluation and recommendations for optimization and implementation

Typical POC Length: TBD (dependent on complexity of use case)

Technologies: TBD (selected based on the unique needs and objectives of your Custom POC Solution)

CONTACT US TO DISCUSS YOUR SPECIFIC USE CASE

How To Use POC Findings

  • Demonstrate the viability of the solution and its ability to satisfy specific needs or requirements
  • Showcase the value the solution brings to the organization and its alignment with business objectives
  • Highlight the technical feasibility and potential limitations of the solution based on the POC findings
  • Use the POC results to justify the effort and investment required for full-scale implementation

Request More Information About Proof Of Concepts

Submit your information and our team will reach out to discuss your project in more detail.

This field is for validation purposes and should be left unchanged.