State of the tech: Game development trends

Leveraging data at each stage of the audience lifecycle is the key to growing audience size and generating more revenue. In this webinar, we’ll talk through the best tactics for audience acquisition, increasing conversions, driving engagement, saving those at-risk, and win-backs for members we’ve lost. These best practices can be applied to any video service and have a particular applicability to subscription video services with a need to increase audience lifetime value.

The future is now! We’re no longer in the realm of science fiction when it comes to reality-related gadgets. The latest augmented reality (AR) and virtual reality (VR) tech is all about human involvement, so it can amp any event to the next level. Organizations are using this reality tech to develop event education and engagement. AR and VR are proving to be amazingly effective tools for participant engagement, simulations, practice-makes-perfect, and just-in-time learning. In this session, you’ll get to see, hear, and experience some of these solutions first-hand while also finding out how you can begin to leverage these technologies to create something out of the ordinary.

How to Work the Film & TV Markets is taught by former IFTA liaison for the American Film Market, Heather Hale. In this jam-packed webinar Heather takes independent filmmakers, television and digital content creators on an online tour of the circulatory system of the global media landscape. She is breaking down the entertainment industry’s trade show circuit – where content is bought and sold around the world, year after year.Heather demystifies these markets, makes them less intimidating, less confusing and less overwhelming. She shows you how to strategize and navigate these events, making them far more accessible, productive – and fun!

In this webinar, visual effects and digital production company Digital Domain will share their experience developing AI-based toolsets for applying deep learning to their content creation pipeline. AI is no longer just a research project but also a valuable technology that can accelerate labor-intensive tasks, giving time and control back to artists. We’ll start with a brief overview of deep learning and dive into examples of convolutional neural networks (CNNs), generative adversarial networks (GANS), and autoencoders. These examples will include flavors of neural networks useful for everything from face swapping and image denoising to character locomotion, facial animation, and texture creation.