Products
Don't waste another minute with repetitive tasks and focus on improving your IT business! Use ActiveEon, award winning SOAP software & ML data pipeline automation.
ProActive Workflows & Scheduling
Drive efficiency, reduce costs and automate operations from simple tasks to complex processes.
ProActive AI Orchestration
Industrialize your processes, accelerate the AI deployment and improve your AI success rate.
Products Updates, September 2022
Discover all new features, expansions, and hot fixes as released in the products' latest versions.
ActiveEon Connectors
Orchestrate automation across all ERP, ITSM, ETL/ELT, and across your hydrid environment.
Why ActiveEon is Better & Faster
ActiveEon provides the most advantageous, efficient and fastest solutions.
Solutions
Powerful and easy workflow management software for IT automation.
Workload Automation
Automatically execute IT and business processes on hybrid cloud and on-premises resources, provide self-service portal and reduce support cost.
Hybrid IT Enabler
Maintain a centralized approach to IT governance while exploiting the benefits of cloud computing.
Intensive Computing
Combine grid computing, parallel computing, and distributed system to outperform your existing results.
IT Automation
Enable process automation across your entire enterprise and hybrid cloud infrastructure.
Acceleration of Algorithms
Deliver big data and algorithm outcomes faster, scale your resources and use your computing power to the full.
Monitor & Industrialize Processes
Be efficient in operating and monitoring workload automation - and enable self-service for problem resolution.
Minimize the complexity of AI with repeatable & scalable machine learning life-cycle.
AI Orchestration
MLOps
Provides a center of excellence for the production of your AI models.
Higher Education & AI
Use your existing ICT infrastructure and improve AI/ML delivery with ActiveEon.
Services
We provide the most reliable tools to make sure you benefit from a smooth and successful migration that matches your needs and gives you a competitive edge.
ActiveEon Smart Migration Process
Learn more about how to easily switch from your old legacy automation solution to ActiveEon.
Migrate from Dollar Universe
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Saas Delivery
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Learn how to use our ProActive Workflows & Scheduling and ProActive AI Orchestration in 5 training sessions.
See how to orchestrate Automation Across all ERP, ITSM, ETL/ELT, and Across your Hybrid Cloud.
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ActiveEon is the new automation solution of choice. Learn about who we are and what we stand for.
About Us
ActiveEon displaces legacy solutions in worklflow automation by designing state-of-the-art software solutions. See more about our company vision and values.
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How MLOps principles, embedded within ProActive AI Orchestration, help your AI success
The purpose is to deploy reliable code, data, and models into production with a fast time to market
Lack of necessary data
Non-existent integrated development environments
Inconsistent model execution
Simplify ML tools integration
Stronger security & Governance
Reduce time to deployment
Lower infrastructure cost
Source: Survey - State of Machine Learning and Data Science, October 2021
MLOps is a game changer when you need to automate and scale the deployment of AI models
The goal of MLOps is to remove the frictions from the experimental stage right through when the model is in production. Making sure to successfully put AI model in production in the shortest possible time with as little risk as possible.
Traditionally, machine learning has been approached from a perspective of individual experiments, predominantly carried out in isolation by data scientists.
In reality, only models running in production can bring value. Models have zero ROI until they can be used. Therefore, models deployment need to be integrated within the AI pipeline and move from informal to an industrialize process.
The main benefits delivered by our solution
MLOps ensures teams share everything that goes into producing AI models visibility – from data extraction to model deployment and monitoring. Turning tacit knowledge into parameters and process makes machine learning collaborative.
Components assessed with customers
AI scalability refers to scaling AI applications that can handle any amount of data and perform many computations in a cost-effective and time-saving way to instantly serve millions of users residing at global locations.
Data scientists should be able to audit and reproduce every production model. Unlike DevOps, version control is not enough, AI requires more than that. Versioning data, model parameters and metadata are essentials. Storing all model training related artifacts ensures that models can always be reproduced.
Let’s put aside gut feeling and start monitoring performances. Testing and monitoring are part of engineering practices, and AI should be no different. In the AI context, performance is not only focused on technical metrics (such as latency) but, more importantly, predictive performance. MLOps best practices encourage making expected behavior visible and to set standards that models should adhere to.
Tell-tale signs you need MLOps
It is rather hard to maintain and integrate so many tools and languages.
Data Scientists require more power, but their IDE can only use local machines or the expensive cloud service.
Despite budget increase, you experience difficulties to deploy new models in production.
You are starting to deploy multiple models, but you are struggling to keep up with monitoring them all.
You would like to use your hybrid environment, but you are locked-in with one cloud provider.
You are running process that require multiple type of workloads - real-time, event based, cron jobs.
Your DevOps team, unlike traditional IT application, has trouble monitoring AI model performances.
Best practices based on our experience from the deployment of ProActive AI Orchestration
Use the AI Orchestration framework to integrate diverse data sources, development tools and other enterprise applications.
The AI Orchestration framework will be used to interconnect your existing hybrid compute infrastructure and enable auto-scaling and parallel computing.
The AI Orchestration framework should be an open framework allowing you to select the tool you want and not forcing you towards a specific technology – the choice must remain yours.
There is no wrong answer, automate the process where it is failing you the most. Gain benefits quickly, by formalizing and automating the processes.
The ActiveEon team is happy to advise you on the best way forward.
Alternatively, we can help you to organize a workshop with partners of our ecosystem who advise the largest companies in the world.
Integrating MLOps principles and making it easy to implement
Quick
Secure
Cost-effective
We help you to manage all the stages of AI pipeline within your existing operational processes, so you can put models into production quickly, securely and cost-effectively.
Favorite tools
Favorite languages
Any infrastructure
Security & governance
ProActive AI orchestration's open architecture gives you the freedom to interconnect your favorite tools, favorites languages, your hybrid compute infrastructure CPU, GPU, TPU (on-premise, in the cloud) in containers, Kubernetes or VM. While you’re welcome to use AI tools provided by public cloud providers, we avoid vendor-lock in by integrating models made in the cloud into the ProActive framework, and share them across the company.
Get in touch with our experts to learn more.
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