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.
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.
Powerful and easy workflow management software for IT 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.
Combine grid computing, parallel computing, and distributed system to outperform your existing results.
Enable process automation across your entire enterprise and hybrid cloud infrastructure.
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.
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.
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
Find out how ActiveEon can help you migrate from Dollar Universe and advantageously improve your process automation.
Discover our dedicated SaaS platform for Job Scheduling and Machine Learning.
Take a look at our documentation to understand the technical aspects of our Workflows & Scheduling and Machine Learning solutions.
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.
Join our dynamic and supportive community!
Learn more about workload orchestration, job scheduling, IT automation and machine learning!
Explore our use cases and see how we can help your business.
Discover our customers and references.
Download our whitepapers and get free expert insights!
Browse our video library to watch testimonials, demos, use cases and more!
Learn to use our solutions step-by-step.
ActiveEon is the new automation solution of choice. Learn about who we are and what we stand for.
ActiveEon displaces legacy solutions in worklflow automation by designing state-of-the-art software solutions. See more about our company vision and values.
Explore our latest news, events, press releases, webinars and more!
See where we're located.
We believe that great companies are made of great people. Join our international team and become part of a fast-growing and innovative company!
Get in touch if you have any question, concern or ideas to share with us!
Get information about our competitors and our conversion tools.
Oct 23, 2020 from Activeeon
Deep learning algorithms are a series of (deep) neural networks that learn to recognize patterns from data. It has been successfully applied to solve many challenging tasks, in areas such as computer vision, speech recognition, natural language processing and others. According to Market and Markets, the neural network software market is predicted to reach $22,55 billion by 2021 at an impressive Compound Annual Growth Rate (CAGR) of 33.2%. However, finding high-performance neural networks architectures for a certain type of application can demand many years of research and trial-error process by Artificial Intelligence (AI) experts. To overcome this limitation, the researchers proposed the Neural Architecture Search (NAS) approach. It has recently received considerable attention from both scientific and industrial communities (see references). NAS is a subfield of AutoML that allows to automate the manual process to discover the optimal network architecture, which significantly reduces human labor.
Given a human-designed search space containing a set of possible neural networks architectures, NAS uses an optimization method to automatically find the best combinations within the search space. The NAS approach consists of three main components: search space, search strategy algorithm, and performance estimation strategy:
NAS is a high-dimensional and time-consuming problem. However, a solution that allows to optimize and parallelize the process in the search for the best architectures for a given application can save time and money for both companies and researchers. Therefore, Activeeon recently integrated the NAS technique on the ProActive AI Orchestration that allows engineers or researchers to easily automate and orchestrate AI-based workflows, scaling up with parallel and distributed execution.
Common building blocks to define a search space:
Finally, use our auto-ml-optimization catalog.
Figure below shows an overview of the auto-ml-optimization catalog.
The auto-ml-optimization catalog contains six search strategy algorithms to enable us to search the best parameters/architecture according to the search space, which is defined as a JSON file. In the following, we briefly describe the different tuners proposed by the search algorithms:
The choice of the tuner depends on the following aspects:
To help users track the process and status of how the model is searched under specified search space, we offer the job analytics interface. It enables you to quickly select the best neural architectures & view model-specific metrics.
ProActive AI Orchestration also includes a data-visualization catalog. It offers a large set of plots that can be organized programmatically or through the UI. These plots are used to create dashboards for both live and real-time data, inspect results of experiments, or debug experimental code. The data-visualization catalog provides a fast, easy and practical way to execute different workflows generating these diverse visualizations that are automatically cached by the TensorBoard and Visdom Server. However, other visualization libraries can be integrated as well. Please refer to the document of data visualization for more details how to use it.
In the Figure below you can see a graph showing the loss obtained by each neural network architecture by TensorBoard.
Let’s access the Activeeon online Try Platform and create a free user account.
Check out useful ProActive AI Orchestration documentation.
If you have any questions or feedback, feel free to contact our technical support. Our team will be very pleased to get your feedback or help you in any way possible.
Jul 18, 2023 from Activeeon
In this blog, we will address the complexity of deploying and monitoring LLMs and show you how to simplify it using ProActive AI Orchestration and its MLOps Dashboard....
Jun 23, 2023 from Activeeon
Dans cet article, nous allons présenter le tableau de bord AI Orchestration et ses fonctionnalités, caractéristiques et interfaces. Le tableau de bord se compose de 3 onglets principaux....
Apr 28, 2021 from Activeeon
Notification service allows users to subscribe to event-based notifications triggered either by workflow executions and their tasks, the scheduler or job planner....
All our articles