Adopting a predictive data culture is now foundational to growth and even survival.
"Building a culture of predictive data is foundational to your organization's growth - potentially even its survival. Without strategy as a starting point, machine learning risks becoming a tool buried inside a company's routine operations: it will provide a useful service, but its long-term value will probably be limited." - McKinsey & Co.
Meanwhile, there is a talent war going on and not enough expertise made available to meet the demand.
Artificial Intelligence is no longer an option
WhatWeDo
Forestry ML builds AI-driven organizations
We are your guide along the path from data collection to processing, pipelining, model building, and deployment, while relentlessly driving towards radical impact. We are rooted in data - and with Forestry's help, you can be too.
Who
We
Work
With
Our clients span industries as varied as finance, health,
e-commerce, and education technology.
We work with not only companies generating billions of dollars of revenue, but also start-ups raising their very first venture round.
Our clients
Health
Finance
Education technology
E-commerce
Our clients
Health
Finance
Education technology
E-commerce
How
We transform top organisations with data science, machine learning, and artificial intelligence.
01.
Design and Build
02.
Retaining
03.
Partnerships
04.
Education/Workshops
WeWork
Strategic Partnership
A true AI strategy that leverages machine learning to create business outcomes with data-driven and predictive decision making requires a long term relationship.
No matter the size of the company, each has its own complexities and requisite domain expertise that the scope of a single project could not adequately hope to capture.
Tactical Engagements
If the leaders of a company have identified an opportunity to unlock value with machine learning, a more traditional project based statement of work is the approach that Forestry will take.
These engagements begin with a discovery phase, then work through an agile design & build lifecycle. When the model or system has met performance goals, we work closely with the technology organisation to inform and implement a production-ready execution/serving environment.