Create an Architecture for AI | Info-Tech Research Group

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.

Create an Architecture for AI Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to understand why you need an underlying architecture for AI, review Info-Tech's methodology, and understand the four ways we can support you in completing this project.

Create an Architecture for AI – Executive Brief

1. Assess business use cases for AI readiness

Define business use cases where AI may bring value. Evaluate each use case to determine the company’s AI maturity in people, tools, and operations for delivering the correct data, model development, model deployment, and the management of models in the operational areas.

2. Design your target state

Develop a target state architecture to allow the organization to effectively deliver in the promise of AI using architecture building blocks.

3. Define the AI architecture roadmap

Compare current state with the target state to define architecture plateaus and build a delivery roadmap.

Member Testimonials

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.

9.0/10

Overall Impact

$1,169,999

Average $ Saved

68

Average Days Saved

Client

Experience

Impact

$ Saved

Days Saved

Testimonial

Christian Healthcare Ministries, Inc.

Guided Implementation

8/10

N/A

26

Christian Healthcare Ministries, Inc.

Guided Implementation

10/10

$1.17M

110

Best part - Irena was knowledgeable & helpful, just the advise to "devise an AI use case" has the potential to save our company from cyber-attacks ... Read More

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.

Table of Contents

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.

Author

Dirk Coetsee

Search Code: 94193
Last Revised: October 25, 2021

TAGS:

AI, Data Architecture, Enterprise Architecture, AI Architecture

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