re:Invent may have happened over a month ago, but what better time to touch on Amazon Web Service’s inaugural conference and our key takeaways than at the start of the new year… Or halfway through the second month of the new year…
re:Invent was an amazing way to see just how far-reaching AWS is in terms of not only available services but also the huge variety of users that they have. Odds are, if you’re doing anything on the internet, AWS is somewhere either at the forefront or behind the scenes.
I went into re:Invent intentionally seeking out AI/ML sessions. I wanted to understand how AI/ML can be useful to live video streaming, but also to various applications such as satellite imaging and utility surveys. I also wanted to learn a lot about how AWS views live video productions and the approaches that they take to ensuring a successful live event. What I learned has greatly improved my understanding of how to enable our customers to succeed when setting up a live event and how our product can help with that.
Biggest Takeaway: AI/ML is huge and AWS is driving it full-throttle. The number of AI/ML tools and services AWS is going to provide in the next two to three years is going to grow drastically.
Tip for Future Attendees of re:Invent: Take the time to plan your day in advance. I ended up running from place to place to try and see everything rather than planning an efficient route between the various sessions. There is just so much to see.
About the Author
Tristan Avelis is Videon’s Product Manager responsible for translating input from the live streaming market, individual users, and tech industry leaders into implemented product features that meet the needs of a wide variety of live streaming applications.
Live video workflows are transforming to live streaming at warp speed–whether it’s a new video protocol, standard, technology or architecture–the ability to adapt quickly is paramount. Leading the charge are use cases that require quality, security and ultra-low-latency, such as live events, sports and betting.