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EndorsedendorsedOngoing

Streaming Analytics and Generative AI Chatbot on Azure

Services Covered:

AI and Machine Learning • Big Data Analytics and Business Intelligence • Custom Software Development
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Industry
Industry

Information Technology

Duration
Durationinfo-circle

19 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 September 2022

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
83/100
Strong

Project Capability Score (PCS) estimates how capable SpurTree Technologies is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Aiden Technologies

mapMcKinney, United States of America

Project Summary

SpurTree USA, Inc. worked with an AI company to build a streaming analytics solution and a generative AI chatbot, and provided Azure/cloud, API development, BI reporting, and data management support. The engagement improved development velocity by 20% and reduced bugs by 30%, and the project was delivered on time and within budget. The vendor followed Agile practices using Azure DevOps and provided architecture, documentation, and ongoing QA and infrastructure support.

Key Challenges

  • Develop a solution for streaming analytics and reporting
  • Develop a generative AI chatbot to enhance customer support and onboarding
  • Complement the team with application development, QA, and infrastructure support

Project Deliverables

  • Streaming analytics and reporting solution
  • Generative AI chatbot
  • Azure cloud development
  • API development
  • BI reporting
  • SQL master data management
  • Application development, QA, and infrastructure support

Project Solution

The vendor developed a streaming analytics and reporting solution and implemented a generative AI chatbot using Azure Open AI services. They supplemented the client's team with application development, QA, and infrastructure support, including Azure cloud development, API development, BI reporting, and SQL master data management. The engagement included architecture design, documentation, agile delivery tracked in Azure DevOps, and ongoing product roadmap and sprint demos.

Project Outcome

  • The project was delivered on time and within budget
  • Project output was high quality and followed industry best practices
  • Development velocity increased by 20%
  • Bugs decreased by 30%
  • The engagement contributed to customer growth and improved product stability

Platforms

  • CloudCloud
  • AI/ML PlatformAI/ML Platform

Tech Stack

  • AzureAzure
  • SQLSQL
  • REST APIREST API
  • Azure DevOpsAzure DevOps

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“SpurTree USA, Inc. has used the industry's best practices and delivered high-quality work, resulting in a 20% increase in development speed and a 30% decrease in bugs for the client. The team delivers on time, showing impressive problem-solving and QA skills, as well as great technical expertise.”

Anonymous

Development Lead

Note: This endorsement is based on publicly available client feedback from external review sources.