How We Work

STEP 1: IDENTIFYING THE BEST AI USE
WHAT
Your organization might have several options for AI use – we identify the best one for you in terms of success, speed, costs and any other criteria you need
WHO
You and us – your input about your business is needed!
HOW
Using our recognized approaches:
AI Maturity Model – what products out there might help you, and what are their pre-requisites?
AI Strategy – what AI projects to do, timeline and priorities
AI Opportunities and Risks – understanding the pros and cons of the options to take.

STEP 2: FINDING THE RIGHT SOLUTION
WHAT
Identify, out of the many AI products and development options what is best for your organization
WHO
AIDirections
HOW
Using our AI expertise:
Market Research: What products out there might help you, and what are their pre-requisites?
Own Developments: Which AI developments can AIDirections bring to the table?
Facial (and other items’) Detection and Recognition
Sentiment Analysis – text or visual
Arriving at a Decision: mDiscussing the options with you and settling on a solution

STEP 3
INTEGRATING THE SOLUTION WITH YOUR SYSTEMS
WHAT
Making the solution work in your organization, in your environment
WHO
AIDirections
HOW
Using our AI and IoT expertise:
Identifying how to get Input – which data are needed, where can we get it from, how to set parameters, connections, etc.
For IoT Projects – put integration in place to get the data from the sensors to the AI solution
Training – train the AI solution with sample data until it works as expected
Set To Go – agreeing with you on the right starting point of the use of the AI solution


STEP 4
BRINGING THE SOLUTION TO LIFE AND MONITORING ITS SUCCESS.
WHAT
Brining the AI solution to life, monitor its success, and improve, if needed
WHO
AIDirections and you
HOW
Using our AI expertise:
First Real Experiences – what are user reactions, does everything work as expected?
If YES – continue and let it get even better
If NO – agree on next steps, e.g. improvement as we go, back to training, etc.
Monitoring – setting criteria for the success of the AI solution and react, if these criteria are not met