MLOps enterprise accelerator
Develop machine learning models more efficiently and quickly
The Vanenburg MLOps accelerator provides a framework for data scientists and data engineers to automate model/code development and deployment with Google Cloud VertexAI.
Rapid Application Development
Eva is a Productivity Improvement Framework for Application Development on Google Cloud It gives you the capability to accelerate the building of advanced Enterprise Business Applications at scale on Google Cloud through smart requirements gathering, instant prototyping, and rapid code generation.
Rapid Application Development
Eva is a Productivity Improvement Framework for Application Development on Google Cloud It gives you the capability to accelerate the building of advanced Enterprise Business Applications at scale on Google Cloud through smart requirements gathering, instant prototyping, and rapid code generation.
Developing ML models takes too long
Only 14 percent of organization can deploy a Machine Learning (ML) model in less than a week. 40 percent take longer than 30 days (source: Algorithmia):
- ML-based apps are different than traditional software
- The gap between model building and deploying is large
- Testing is more involved than other software systems
Shorten the ML model development lifecycle
Automation and standardization can dramatically increase model training and deployment speed. Our MLOps enterprise accelerator enables your team to deliver on the promise of data and artificial intelligence (AI).
The Vanenburg MLOps enterprise accelerator serves a collaborative engagement framework designed to help you with the following MLOps capabilities:
- Establish the best MLOps principles and practices
- Create reproducible ML pipelines and software environments
- Register, package and deploy models into production
- Track and log governance data across the ML lifecycle
- Notify and alert on events in the ML Lifecycle
- Monitor ML applications for ML related issues and for optimizing operations
- Automate the end-to-end ML lifecycle using Google Cloud Vertex AI
Our offer
A 6 weeks MLOps solution accelerator track, providing you with an MLOps enabled team that is well educated in the MLOps best practices and methodologies. Additionally you will have a specific solution running on Vertex AI. Our fixed price offering consists of
MLOps consultancy:
- Unlock value creation of ML models by introducing the core concepts and methodologies of MLOps
- Having first experience with a practical example in Vertex AI
MLOps project:
- Custom co-creation track in which our machine learning experts will work together with the product owners to lift the current solution to become MLOps ready
- The co-creation track entails two development sprints
Benefits
Avoid costly learning, trial & error, and false starts and take advantage of an advanced and proven machine learning strategy.
Save time
Speed ML model development with pre-packaged code
End-to-end solution
Have a specific solution running on Vertex AI as example for your other solutions
Create value
Focus on innovation through AI. Save time, effort and money by implementing a proven approach
Why Vanenburg?
Trusted & certified Google Cloud partner
Expertise on Google Cloud since 2014
Dedicated AI/ML team
Experienced team with machine learning experts.
Flexible service offerings
Flexible and transparent offerings, that evolve with you
Agile partner with bandwith
Serving multinationals and medium-sized companies
Rapid development
Unique Rapid Application Development tooling to quickly prototype and
develop applications
Cloud operations
24×7 management of
cloud resources and applications.
MLOps whitepaper
Vanenburg is your guide in transforming your business with artificial intelligence and machine learning. Download our whitepaper and discover the true potential of AI and ML for your business!
Get started!
Request your complementary one pager and free in-take.
Start accelerating your MLOps strategy today!
