In academic circles, the promise of AI is obvious. But there's a big difference between the theoretical possibilities of AI/ML and making it work in the real world. Even the latest and greatest new AI model that beats every key benchmark is worthless if it doesn’t respond fast enough or won't run with little memory in a real-life situation. The ivory tower of academia fuels innovation, and there are plenty of hypotheticals churned out every day. In reality, deploying industrialized AI in production faces a number of challenges. In this webinar, we examine the challenges involved in making a state-of-the-art model work for you in highly scalable applications.
You’ve probably written a hundred abstracts in your day, but have you come up with a template that really seems to resonate? Go back through your past webinar inventory and see what events produced the most registrants. Sure – this will vary by topic but what got their attention initially was the description you wrote.
Paint a mental image of the benefits of attending your webinar. Often times this can be summarized in the title of your event. Your prospects may not even make it to the body of the message, so get your point across immediately. Capture their attention, pique their interest, and push them towards the desired action (i.e. signing up for your event). You have to make them focus and you have to do it fast. Using an active voice and bullet points is great way to do this.
Always add key takeaways. Something like this....In this session, you’ll learn about: