
Using ML Engineering To Supercharge Your AI Models!
(because all great partnerships start with a call)

(because all great partnerships start with a call)
Machine Learning isn’t some plug-and-play solution. It’s crazy stuff and often leaves data scientists playing the roles of sorcerers with mounting pressure to produce “magically accurate ML models”. Getting this right is hard. And we see our clients struggling with 3 key challenges:
Cost factors associated with building and deploying accurate models.
Obstacles in ensuring consistency within datasets and ML model fine-tuning.
Finding the right specialists with the expertise to solve ML challenges.
Machine Learning is still a new field. But it has the power to revolutionize your business and redefine how you compete. To get this right means implementing leading-edge ML Engineering practices to boost model performance and create intelligent AI-powered customer journeys.
This is built on 3 key requirements that we know are important to you:
ASSETS
Introducing architectures for reusable assets through ML feature stores.
SPEED
Taking ML Models from inception to production in days (not months).
FREEDOM
Creating space and capacity for Data Scientists to focus on what’s important.
Our ML Engineering teams build out,
improve and sharpen your ability to deploy high-accuracy ML models at scale. While working closely with your data scientists, they provide fluid approaches, specialised expertise and world-class best practices.
This is how we ensure your ML model is
productionised at scale:
Establish a suitable toolchain that supports your hyperscale environment.
Set up ML feature stores with seamless access to the relevant resources.
Your data scientists are under immense pressure. Your ML models don’t perform the way you had envisioned. Your big data is difficult to access. And you don’t even know where to begin. We understand your pain and we’re here to help. We give you access to the manpower and resources for highly effective model optimisation.
Now you can rest easy:
Our team of experts have extensive and specialised knowledge in ML engineering across all industries and platforms.
We have a proven track record in successfully deploying highly-effective ML models at scale.
Aug 18, 2022 03:00 PM BST / 04:00 PM SAST