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AI-Powered Customer Engagement Platform Development
  1. case
  2. AI-Powered Customer Engagement Platform Development

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AI-Powered Customer Engagement Platform Development

hatchworks.com
Information technology

Challenge: Accelerating AI Implementation and Driving ROI

Cox2M faces the challenge of rapidly deploying AI solutions for its clients while maintaining control of IP and avoiding common AI pitfalls. They need a streamlined process to guide clients through AI strategy, data engineering, model development, and deployment, delivering measurable business value within budget and timeline constraints. The need for rapid prototyping and POC development is critical.

About the Client

A global AI and Data Transformation Partner focused on helping organizations realize the value of AI through data.

Project Goals: Develop a Scalable AI Acceleration Platform

  • Develop a platform to accelerate AI roadmap execution for clients.
  • Enable rapid prototyping and proof-of-concept development for AI use cases.
  • Provide a framework for managing AI projects within budget and timeline constraints.
  • Facilitate knowledge transfer and skill development within client organizations.
  • Deliver measurable ROI for AI initiatives.

Functional Requirements

  • AI Strategy & Roadmap Development
  • Data Engineering & Data Preparation Tools
  • AI Model Development & Training Environment
  • AI-Powered Software Development Capabilities
  • Access to a pool of AI Engineering Teams
  • Project Management and Tracking Tools
  • IP Protection Mechanisms
  • Client Training and Knowledge Transfer Modules

Preferred Technologies

AI/ML Frameworks (e.g., TensorFlow, PyTorch)
Cloud Computing Platforms (e.g., AWS, Azure, GCP)
Data Engineering Tools (e.g., Spark, Hadoop)
Programming Languages (e.g., Python, R)
Containerization (e.g., Docker, Kubernetes)
Nearshore Delivery Model support

Integrations Required

  • Client data sources (various databases, cloud storage)
  • Existing client systems (CRM, ERP, etc.)

Key Non-Functional Requirements

  • Scalability to handle large datasets and complex models
  • High Performance for rapid model training and deployment
  • Robust Security to protect sensitive client data
  • High Availability and Reliability
  • User-Friendly Interface for both technical and non-technical users

Expected Business Impact

The platform is expected to significantly improve the speed and efficiency of AI implementation for clients, leading to faster realization of ROI, increased client satisfaction, and enhanced competitive advantage for Cox2M. It will enable them to expand their AI services offering and solidify their position as a trusted AI partner. The platform is anticipated to improve velocity by approximately 300% and reduce bugs to near zero, mirroring the results achieved with HatchWorks AI's Gen AI Innovation Workshop.

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