De-risk your data science projects with the ultimate data science POC.
Data science projects are risky.
A significant amount of the time, some suggest around 80%, data science projects fail. That’s not because there is a failure, in the structural sense of the word, but because the data or the domain prevents you from achieving your goals.
The problem isn’t failure, though. The problem is that it takes too long to find out that a data science project will fail. Our proof-of-concepts (POCs) de-risk a project by researching and investigating key risks, before wasting time on development, coding, hardening, etc.
Although all of our POCs differ, they generally deliver a rough prototype to prove that the riskiest parts of the project will be successful, or not. Data science POCs generally take the form of a report or a set of results that demonstrate that an idea is technically feasible, given the data and current technology capabilities.
Our data science POCs are then promoted into a machine learning development project, where we design, build, and deliver practical artificial intelligence solutions.
We've worked with hundreds of amazing people, all over the world.
Data science is often touted as being an art, but in reality it’s experience that counts.
By choosing Winder.AI as your trusted data science partner, you can be sure that you are leveraging one of the most highly experienced agencies in the world. Our vast experience helps businesses like yous discover value from their data.
Our data science consultants deliver incredible value by evaluating and recommending strategic business decisions to further your organizational ambitions.
Our fixed cost POC service is able to de-risk your projects for a fixed expense. If you are operating within a tight budget or you want to time-box experiments, then this is the service you need. Included in this service is:
Some of our clients, like Pachyderm for example, leverage our skills for repeated R&D projects. The benefits of this service are:
When you have a lot of data, but you don’t know what to do with it, data exploration helps you:
Winder.AI is a data science consulting firm, and is based in the UK, although we operate globally. Our data science consultants deliver incredible value by evaluating and recommending strategic business decisions to further your organizational ambitions.
Any problem demands context from the business. A solution for one industry may not be applicable to another, nor is every business the same. Establishing shared context helps get the project off to the right start.
Businesses are often experts in their own domain. This domain expertise is valuable to help direct future solutions.
POCs usually start with a vague idea of what problem they are trying to solve. But the problem definition often changes over time, becoming more concrete, adapting to what is possible given the data.
Using the domain knowledge, we gather even more insight by exploring your data. You never know what you’ll find!
In this phase expert data analysts extract knowledge from the data. This often leverages actionable insight and is used to validate whether the solution is viable.
After the data analysis validates that the idea is sound, an initial phase of model exploration is intended to validate whether the problem can be automated.
After this phase the models are analysed to ensure they are performant enough to suggest viability. Note that even at this late stage it is sometimes necessary to revisit the problem definition.
Once models are validated then it’s time to report the results back to the stakeholders. After this phase we often start looking at another problem, or promote it to a fully-fledged machine learning development project.
Businesses have three core operational functions. Processes define how businesses run. Decisions decide when businesses are run. Strategies define why businesses are run.
Software has successfully automated many business processes. Data science automates decisions and strategies via machine learning and reinforcement learning, respectively.
By leveraging our data science consulting services we can help you automate the top two most valuable tiers in the pyramid, to make your organization more efficient and profitable.
The infamous OODA loop, originally developed by the US military, is of particular use during our work because it helps promote innovation.
At every phase we look for opportunities to add value and make your products and services better. Our clients find that our work greatly exceeds their expectations due to the extra value presented by our solutions.
Case study
Interos, a leading supply chain management company, partnered with Winder.AI to enhance their machine learning operations (MLOps). Together, we developed advanced MLOps technologies, including a scalable annotation system, a model deployment suite, AI templates, and a monitoring suite. This collaboration, facilitated by open-source software and Kubernetes deployments, significantly improved Interos’ AI maturity and operational efficiency.
Case study
We’re pleased to announce the release of Stable Audio, a new generative AI music service. Stable Audio is a collaboration between Stability.AI and Winder.AI that leverages state-of-the-art audio diffusion models to generate high-quality music from a text prompt.
Case study
Tractable.AI is a leading insure-tech company based in the UK and has made significant strides in the motor vehicle insurance sector by leveraging AI technologies. Their innovative approach has allowed them to automate various aspects of the insurance lifecycle, including the complex process of loss adjustment. This AI-driven strategy has not only increased their operational efficiency but also enhanced their service delivery, making them a preferred choice for many customers.
The team at Winder.AI are ready to collaborate with you on your data science poc project. We will design and execute a solution specific to your needs, so you can focus on your own goals. Fill out the form below to get started, or contact us in another way.
