AI services
fast track success
Determine how AI can enhance your competitive posture, drive OpEx reductions, and transform customer moments
What do you want to achieve?
Define a technology architecture that can support the enterprise's ambitions for AI while ensuring scale, extensibility, and security to drive trust
Rapidly identify, build, and pilot initial Generative AI solutions for your customers, associates, and trading partners
Prepare your data architecture, models, and sources for consumption by AI solutions
Build an AIOPS operating model, prepare your workforce, and define the ‘new ways of working’
Reinvent what's possible as you
bridge the gap between the present
and the future.
AI Strategy
& Value
Engage business leaders to define an AI strategy that
leapfrogs competitors and wows your customers!
Codify the Enterprise AI Ambitions
Develop a Catalog of AI Use Cases
Create the AI Target Architecture
Define Required Internal & External Data
AI Value Realization
AI
Architecture
Strategically develop the architectural foundations and building blocks that the Enterprise requires to achieve the AI ambitions
AI Solutions & Services
Data & Pipeline
Algorithms
AI Framework
AI Platform
Generative
AI
Transform your business with AI generated
conversations, content, code, and images
Align Gen AI with the Enterprise goals
Develop Actionable Roadmap
Optimize the Technical Landscape/Architecture
Build & Deploy AI Solutions (Test & Learn)
Establish Right-Sized Data Governance
Data, Models
& Algorithms
Never has it been more true that business run on data!
AI success is 100% correlated to having the right data
and algorithms
Problem Scoping
Data Acquisition & Exploration
Modeling, Algorithms & Programming
Training Dataset Availability & Preparation
Model Training, Validation & Testing
AI
Operations
AI is the next (perhaps biggest) transformation at the intersection of humans and tech – applying it to IT Operations help your Enterprise scale
Align AIOPS with Enterprise Goals & AI Ambitions
Connect Event Data to AIOPS Tooling
Reduce Noise
Enrich & Normalize Event Data/Incidents
Design E-2-E Event-Drive Auto-Remediation
