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In its June 2025 expert-opinion research, “Emerging Tech: Tech Innovators for Hyper-Synthetic Data in Process Simulation and Modeling Platforms,” Gartner includes AnyLogic as an innovator in hyper-synthetic data capabilities. The report highlights how AnyLogic empowers organizations to generate scalable synthetic data for machine learning, optimization, and simulation modeling.

Simulation and AI in business intelligence aren't just technical tools; they're now essential for C-level decision-making. Explore how this powerful duo is transforming strategy, risk management, and operational foresight.

Simulation modeling has long been used to understand systems and explore “what-if” scenarios. But with the rise of AI in simulation, models can now learn, adapt, and make smarter decisions over time. This blog post explores how machine learning in simulation is changing the way industries plan, test, and optimize complex processes.

Simulation modeling in 2025 is evolving rapidly. From AI integration and real-time digital twins to cloud collaboration and multimethod simulation, explore the top trends driving innovation and efficiency.

Elevate your simulation modeling journey with ChatGPT integration for data analysis. Explore how OpenAI's technology enhances insights, facilitating seamless communication between decision-makers and models.

Companies increasingly use advanced machine learning models, requiring management throughout their lifecycles. ModelOps focuses on scaling and deploying models in production environments, ensuring accuracy and reliability, and optimizing performance. It involves continuous monitoring, evaluation, and redeployment. In this blog post, read more about ModelOps and how PwC has developed a simulation to effectively manage their portfolio of models.

ChatGPT is a dynamic tool that can be used to make simulation modeling simpler and faster. Check out the blog post on this exciting new development, and then watch the video to explore some use cases in more detail. Whether you are a beginner or an advanced modeler, this latest webinar from the AnyLogic team has something for you.

When packing a container, every square inch of empty space is a money loss – either for you or your company. In warehousing and logistics, filling a container with items as tight to each other as possible to reduce the number of containers is a big deal. Decision Lab took it upon themselves to identify what techniques would help make packing quicker and more efficient. Read to learn more about the project and its results.

There are many cases where it’s desirable to incorporate trained machine learning (ML) models into a simulation model. Now, thanks to a new AnyLogic library, using ONNX ML models is easier and more efficient.

By incorporating this add-on library into your AnyLogic environment, your models can access its functionalities, just like with any other built-in library. It’s simply a matter of adding the helper object to your model and configuring it. Read on to find out more.

Automated systems have reached their limits and companies wanting to further enhance business processes are turning to artificial intelligence (AI) technologies like machine learning (ML). In an AnyLogic workshop, Microsoft Autonomous Systems Principal Program Manager Kence Anderson explored the advanced decision-making possibilities of ML and showed how Microsoft’s machine teaching concept is achieving faster training times.

The easily accessible workshop session provides a high-level overview of AI’s state of the art with examples from Microsoft and DeepMind research, as well as illustrative Karate Kid analogies.