AI Opportunity Discovery Workshop
by
AI labs
Wondering how you and your business can leverage AI?
You're here 👇
What is it?
Our process
How does it go?
1
Goals and pains exploration
Together, we explore the main goals and challenges you aim to address with AI. Whether it involves improving processes within your company or introducing innovative features to your digital product, we collaboratively understand your genuine needs and objectives.
2
Journey and opportunity mapping
Understanding the processes in which you plan to integrate AI components is fundamental to accurately define machine learning use cases. Furthermore, data sources are key elements for constructing the models that will power these features, so identifying them is a must in any early ideation stage. By thoroughly reviewing both points, we can identify real opportunities for AI together.
3
AI brainstorming
At this stage, we return with a clear roadmap for each AI opportunity: identifying relevant data sources, addressing challenges, and outlining steps to confirm feasibility. Armed with this information, we can collaboratively associate which of the goals and pains we reviewed in stage 1 will be addressed by these brand new AI components.
4
Prioritization and POC candidates confirmation
By carefully reviewing the impact and efforts associated with each AI opportunity, we prioritize them based on your actual needs and identify confirmed POC (Proof of Concept) candidates!
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A prioritized list of AI opportunities, based on their impact and associated effort.
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An exploratory data analysis (EDA) to estimate the feasibility of the POC candidate.
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A series of challenges that have to be addressed to get things done.
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A roadmap with key steps to bring your AI idea to life!
Fancy an example?
Idea 🤔
My customers cannot find the products they’re looking for in my marketplace. I want an AI to help them on their journey.
Our discovery Workshop
AI opportunity 💡
Using conversational AI powered by large language models to chat with the users, identify their needs, and find the right product for them.
Exploratory Data Analysis Report, including Jupyter Notebooks for all your data sources! 🎁
In this case, for:
All products in the company database and their descriptions.
Characteristics of each customer: personal information, behavioral data, engagement data, customer feedback.
Platform usage statistics: time on site, clicks, etc.
Need to have access to a LLM API. Which one is the best? How much will be the bill every month?
Is it possible to match product descriptions with user inputs using embeddings?
Are my users keen to adopt a technology like this? Perhaps I should validate that with a first prototype.
Use case validation
a. Create a mockup of the user interface.
b. Validate it with users.
POC Candidate: conversational AI + embedding model to map product descriptions and user inputs to embeddings and match them.
POC good-to-go criteria: are these products the ones that the user was looking for?
What’s next?
A POC Design workshop! 👇
Roles
Who will help you along the way
Our team combines experts in design and machine learning that will help you nail the right use case and the minimum viable models you will need.
Our design experts bring a creative and user-centric approach to the process, ensuring envisioning AI opportunities aligned with the actual user needs.
Our machine learning experts possess the technical expertise to analyze use cases from a realization point of view.