Create an Architecture for AI
Build your target state architecture from predefined best-practice building blocks.
This research is designed to help organizations who are facing these challenges:
- Deliver on the AI promise within the organization.
- Prioritize the demand for AI projects and govern the projects to prevent overloading resources.
- Have sufficient data management capability.
- Have clear metrics in place to measure progress and for decision making.
AI requires a high level of maturity in all data management capabilities, and the greatest challenge the CIO or CDO faces is to mature these capabilities sufficiently to ensure AI success.
Our Advice
Critical Insight
- Build your target state architecture from predefined best-practice building blocks.
- Not all business use cases require AI to increase business capabilities.
- Not all organizations are ready to embark on the AI journey.
- Knowing the AI pattern that you will use will simplify architecture considerations.
Impact and Result
- This blueprint will assist organizations with the assessment, planning, building, and rollout of their AI initiatives.
- Do not embark on an AI project with an immature data management practice. Embark on initiatives to fix problems before they cripple your AI projects.
- Using architecture building blocks will speed up the architecture decision phase.
- The success rate of AI initiatives is tightly coupled with data management capabilities and a sound architecture.
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
Need Extra Help?
Speak With An Analyst
Get the help you need in this 3-phase advisory process. You'll receive 5 touchpoints with our researchers, all included in your membership.
Guided Implementation 1: Assess business use cases for AI readiness
- Call 1: Scope requirements, objectives, and your specific challenges.
Guided Implementation 2: Design your target state
- Call 1: Assess current maturity.
- Call 2: Identify target state capabilities.
Guided Implementation 3: Define the AI architecture roadmap
- Call 1: Identify the relationship between current initiatives and capabilities.
- Call 2: Create initiative profiles.
Establish an Analytics Operating Model
Create and Manage Enterprise Data Models
Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Create a Data Management Roadmap
Establish Data Governance
Build a Data Architecture Roadmap
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build an Extensible Data Warehouse Foundation
Build Your Data Quality Program
Build a Reporting and Analytics Strategy
Mitigate Machine Bias
Design Data-as-a-Service
Create an Architecture for AI
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
Establish Data Governance – APAC Edition
Foster Data-Driven Culture With Data Literacy
Generative AI: Market Primer
Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
Promote Data Literacy in Your Organization