Foundation Model ROI Workshop

Are you worried about wasting resources on the latest computer vision fad?

Foundation models like GPT have revolutionized language processing and are now making the jump to computer vision.

These models can be generative or discriminative, yet still serve the same purpose: making it easier to train new models faster and with less data.

Some foundation models excel at tackling a wide range of tasks, but most aren’t optimally tuned for a particular niche.

Task-specific models, on the other hand, are tuned for a very narrow use case using labeled data.

Domain-specific foundation models fall somewhere in between, unlocking the potential for a variety of tasks on a particular type of imagery.

What if you could calculate the ROI of this approach BEFORE spending the time and money?

Modeling decisions in computer vision projects are often made by following the latest trends. They should instead be made with evidence.

The outcome of an experiment is never guaranteed – that is why we experiment. But the value of a particular approach can be estimated before potentially wasting resources.

Domain-specific foundation models are particularly relevant because they can bring value in several ways (see this article for an overview). To calculate the ROI, you need to first identify where the greatest value is for YOU.

I can show you how to identify the value and calculate the ROI of a vision foundation model approach

This workshop will demonstrate how to calculate the ROI for several case studies, with the goal of enabling you to make better decisions for your projects.

As an added bonus, you’ll also receive a workbook to help you implement this in your situation.

What you’ll learn:

• How to make better decisions about your modeling strategy

• How to calculate the ROI of building a domain-specific foundation model

• Case studies demonstrating this ROI calculation

• A clearer path forward for your computer vision project

The workshop is for you if:

• You’re leading a computer vision team and want to make better decisions for your team

• You’re the founder of an early-stage startup applying or looking to apply computer vision

• You do not have an AI background and need a framework to guide your decisions

This workshop is NOT about how to build a foundation model. It is about how to identify the value of a domain-specific foundation model approach and calculate the ROI so that you can make better decisions for your team.

The details:

• Wednesday, June 5, 2024 @ 12 pm EDT / 9 am PDT / 4 pm GMT

• 45-60 minutes

• Q&A at the end

• Ability to submit questions ahead of time

• Workbook will be emailed following the workshop

• Recording available for those who cannot attend live

What others have said…

[Heather] has an unusual ability to demystify, in plain language, new developments in computer science for a wide audience.

-- Keith Wharton, Ultivue, VP Medical Director

Heather has accelerated the development of our machine learning projects by challenging the status quo and introducing the team to new approaches.

-- Joe Sturonas, Ancera, VP of Systems Development

It’s clear to me Heather thinks like a scientist who is equipped with deep ML skills and a bit of software engineering, not like a software engineer who has deep ML skills and a bit of science. And I can’t emphasize enough how much more valuable that is to a deep tech startup.

-- Gavin McCormick, WattTime, Co-founder and Executive Director