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Tino Tees up Tech
Should You Build or Buy Your Enterprise GenAI Solution?

Should You Build or Buy Your Enterprise GenAI Solution?

To make an informed decision, you first need to determine how you plan to use the solution and what role you want your organization to play:
a Consumer, a Customizer, or a Creator.

Tino-Tees-Up-Tech

Join me and Relevantz as we explore what the right choice is for you and your enterprise.

Which C Do You Want to Be?

Which C Do You Want to Be?

Consumer

Consumer

Purchases pre-built GenAI models and solutions without any customization.

Ideal for: Organizations looking to quickly enhance their operations with minimal effort.

Cost: $$

Customizer

Customizer

Integrates pre-built models with internal processes
and data.

Ideal for: Companies seeking a balance between quick deployment and incorporating their private enterprise data.

Cost: $$$$

Creator

Creator

Constructs GenAI solutions from scratch, creating their own foundational models.

Ideal for: Enterprises needing highly specific models not available on the market, or those aiming to commercialize their own models. Think Microsoft or Google.

Cost: $$$$$$$$$$$$

Gen-AI

So, Should You Build or Buy Your Enterprise
GenAI Solution?

Consumer

If you want to be a Consumer, it’s easy

BUY

Creator

If you want to be a Creator, it’s easy

BUILD

But the best approach for most enterprises is to be a Customizer.

This role requires a combination of buying and building. By buy, we mean using existing foundational models and then building custom solutions on top.

Skills you need to build an Enterprise GenAI solution

Skill Sets You Need to Build an Enterprise GenAI Solution

To successfully implement a GenAI solution as a Customizer, you'll need a diverse team with specific skill sets. Here's a breakdown of the process and the expertise required at each stage:

Business Domain Experts

1. Identify Use Case

2. Build the Prototype

3. Develop the Solution

4. Deploy Pilot for Feedback

5. Launch Optimized Solution 

AI Architects

1. Identify Use Case

2. Build the Prototype

3. Develop the Solution

4. Deploy Pilot for Feedback

5. Launch Optimized Solution 

AI Engineers

1. Build the Prototype

2. Develop the Solution

3. Deploy Pilot for Feedback

4. Launch Optimized Solution

Data Engineers

1. Build the Prototype

2. Develop the Solution

3. Deploy Pilot for Feedback

4. Launch Optimized Solution

Software & QA Engineers

1. Develop the Solution

2. Deploy Pilot for Feedback

3. Launch Optimized Solution 

MLOps, Security, & Infrastructure Experts

1. Develop the Solution

2. Deploy Pilot for Feedback

3. Launch Optimized Solution 

To develop these solutions, you may need to onboard external resources to augment your existing team.

 

And by combining these skills with pre-built models, you can create tailored GenAI solutions that meet your specific enterprise needs.

Tino's Podcast Corner
Leading with Relevance podcast

Check out our monthly podcast series "Leading with Relevance," featuring industry thought leaders every third Monday. 

Upcoming Guests for my Podcast Series

Aug 19th, 2024

Mark Buffington

Mark Buffington
CEO, Founder,
BIP Capital

Sep 16th, 2024

Richard Kopelman

Richard Kopelman
CEO, Aprio

Oct 21st, 2024

Shane Jackson

Shane Jackson
President,
Jackson Healthcare

Watch our podcasts

That’s not all folks! 
Take the first step to understand the power of GenAI and revolutionize your business. 

Stay Connected!

Schedule a Meeting

We hope you enjoyed this edition of Tino Tees up Tech!

Feel free to contact me directly at tino.mantella@relevantz.com to discuss Gen AI or any other tech trends on your mind.

Thanks for Reading! 

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