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The AnyLogic Conference 2021 was online and presented a record number of cutting-edge simulation models from world-leading organizations to 2000 participants from over 100 countries. Starting in the Tokyo morning and continuing non-stop to the Californian afternoon, for 24 hours, on September 23 the conference followed the sun and gave simulation modelers around the world an opportunity to connect and learn simulation modeling at the cutting-edge.

Here are the presentation slides and recordings...

At AnyLogic Conference 2021, Python came to the fore in a presentation by Principal Software Engineer Nikolay Churkov. He informed attendees about ongoing research into making Python a second native scripting language in AnyLogic.

Presently in a preview state, the experimental version of AnyLogic 8 is available for a limited number of users. If you are interested in taking part in the trials of using Python as the scripting language for user code fields, read on!

The AnyLogic conference is an event that brings together simulation professionals from different industries from all over the world. At the conference, they share their projects and ideas, and learn how others solve similar business problems using AnyLogic. Come join us!

Here are details about the format of the conference, the speakers, and a link to the event program.

Did you or your team help solve a major business problem using AnyLogic products? We invite you to submit an abstract to be considered to present at The AnyLogic Conference 2020 in Nashville, Tennessee! Previous presenters featured projects from simulation specialists in Consulting and Strategy as well as industries such as Finance, Manufacturing, Aerospace, Artificial Intelligence, and so many more.

Read on, get the details, and join us in Nashville!

The concepts and the business case for using simulation with reinforcement learning are highlighted by the panelists as they discuss a series of questions from Dr. Anand Rao, PwC Partner and Global AI Lead. With commercial examples that highlight the successes and the challenges of working with the technologies, the participants demonstrate that simulation and deep reinforcement learning are especially suited.

Here is the recording of the session from the 2019 AnyLogic Conference. It’s not the shortest video on our YouTube Channel but it is interesting and informative – cast it to a big screen if you can! Enjoy!

The videos of the presentations and workshops from AnyLogic Conference 2019 are online. A diverse cross-section of organizations presented insightful and inspiring examples of simulation at work, highlighting the broad adoption of simulation modeling for commercial and industrial interests.

If you know what you want to see, jump straight to the playlist. Otherwise, here is a brief overview of the themes and some content pointers.

The AnyLogic Conference 2019 made clear how simulation modeling continues to empower all kinds of industries from all around the world. The exciting progress being made in machine learning and its strengthening relationship with simulation also featured strongly throughout the event.

Here we have gathered the presentations for download and also posted some photos!

The format for the AnyLogic Conference, this April 17-18 is slightly different for 2019 and includes a panel discussion in addition to the more familiar presentations and workshops.

Also, ticket prices will go up in price on April 5th, so get them now for the best deal and join us in Austin, Texas! Here’s why you should!

Reinforcement Learning, that’s where all the action is these days says Lyle Wallis, Advisory Analytics Director at PwC. It is also what connects Machine Learning, Deep Learning, and Simulation. How so? And why is this important?

In a presentation at the AnyLogic Conference 2018, Lyle explained the various uses of simulation in artificial intelligence as well as its importance. Read on and find out more...

In response to changes in industry, there are changes to this year’s AnyLogic Conference. In a way, this mirrors the relationship developing between simulation and machine learning – each benefiting from the input and feedback of each other.

Read on for the conference low-down...