This webinar will feature a panel of engineers that have deployed deep learning and generative AI and their solution is in customers’ hands. You will be able to take away insights on the selection of technology, the process of realizing a solution, pitfalls, nightmares and what the panelists would do differently next time.
Can’t attend? Register and submit your question anyway, the answer will be on our YouTube channel.
Research Code: 2045
Omer Segal is the Head of AI at Pixellot, overseeing the AI group responsible for researching and developing automated sports production and automatic game highlights generation for Pixellot AI-automated sports camera systems. He has extensive leadership experience as CTO and R&D Director at companies in homeland security, mapping, and sports technology, where he oversaw the development of innovative AI applications. Omer’s project portfolio includes creating land vehicle and aerial mapping and navigation systems, AR applications for archaeological reconstructions, and athletes’ video analysis applications.
Omer holds a BSc and an MSc in Electrical Engineering from Tel Aviv University, specializing in the application of advanced technologies such as deep learning, computer vision and signal processing.
With 20 years of experience as a Character Technical Director, JC Leon bring expertise in motion capture and avatar creation for diverse productions. Originally focusing on rigging for films, commercials, and games, I transitioned to real-time motion capture and game engine rigging over the past five years. Integrating AI into motion capture and avatar systems has been a recent passion, alongside a commitment to exploring new technologies and their synergies. From rigging for TV shows like “The Flash” to contributing to 3D Bitmoji development and virtual concert setups, my journey reflects a dedication to innovation and collaboration in the ever-evolving landscape of AI and entertainment technology.
Ziyuan(Zac) is the Chief Scientist at Birch.AI, where he spearheads the research and development of LLM and ASR models to automate healthcare call-center workflows. He is responsible for selecting and designing ML models, data processing, production system architecture, and deployment. With over 10 years of experience in speech recognition and natural language processing systems, Ziyuan has a proven track record of delivering production-ready systems for tasks such as classification, named entity recognition, and real-time transcription. Ziyuan holds a bachelor’s degree from Tsinghua University Beijing and a master’s degree from the Johns Hopkins University where he worked at the Center for Language and Speech Processing on projects that led to the creation of many open-source NLP and ASR toolkits
Register early to submit your questions for this exciting AMA (Ask me Anything) with Katya Lainé who founded the advanced conversational and Voice GEN AI product known as Talkr.AI
Katya Lainé is co-founder and Chief Executive Officer of TALKR.ai and world-renowned for her expertise in Conversational AI. Katya has spent over a decade reshaping the way organizations handle customer interactions, playing a pivotal role in modernizing call centers by replacing traditional Interactive Voice Response Systems with Intelligent Voice Conversational AI Assistants. Katya is also a respected expert at the Global Partnership on Artificial Intelligence (GPAI) contributing to cutting-edge AI research and international cooperation. Beyond her GPAI role, Katya serves on the board of Numeum, where she is President of its AI Commission, championing ethical practices and advancing the adoption of AI technologies. Katya co-founded OpenLLM-France, further exemplifying her dedication to advancing technology and ethical standards in AI. Additionally, she is a Co-founder and Vice President of Le Voice Lab, underscoring her commitment to shaping the future of voice technology in Europe. She holds a Master of Business Administration (MBA), in addition to a Master’s degree in Broadcast Journalism from Sofia University St. Kliment Ohridski.
After 85 flights of stairs, ~40,000 steps, 12 Vegas loops trips, and over 40 factchecks, our coverage of 2024 NAB Show, National Association of Broadcasters Show, ends. NAB Show was held in Las Vegas from April 13-17. It is the premier event for content professionals in the broadcast, media, and entertainment ecosystem seeking to create superior and innovative audio and video experiences. The conference featured over700,000 net square feet of exhibits, nearly 1300 exhibitors, 750 educational courses and sessions, and over 61,000+ attendees from an amazing 163 countries. Attendees witnessed endless examples of cloud enabled remote production, early implementations of generative AI, and discussions on sustainability in production and technical security for remote live production.
The Conference
The first NAB Show was held October 11, 1923, in New York City at the Commodore Hotel. There were 16 radio stations represented among the 23 attendees. NAB Show moved to Las Vegas in 1991.
NAB Show was held April 13-17, 2024, in Las Vegas. The event featured over 61,000 attendees. Within those attendees 27% were international attendees from an amazing 163 countries represented.
The exhibitions featured nearly 1300 exhibitors in over 700,000 net square feet of exhibits a 30% gain over 2023.
Attendees at NABShow held titles such as Production Director, Production Editor, Production Engineer, Broadcast and Network Engineer, Logistics Manager, Electrical Engineer, Sound and Video Engineer, Director of Product Management, Technical Architect, and data scientist.
After 85 flights of stairs and 40,000 steps, and 12 Vegas loops trip, our coverage of the 2024 NAB Show produced by National Association of Broadcasters, ends. NAB Show 2024 exhibitions surpassed last year’s by nearly 30% with 700,000 square feet in all. Attendance came in at 61,000 attendees with 27% coming from international destinations. NABPAC contributors were recognized in the West Hall. The conference leveraged the entire indoor conference exhibit spaces in the West Hall, Central Hall, South Upper and South Lower and a few rooms in North Halls. A majority of North Hall was under construction. Fortunately, the Vegas Loop was running with free rides so one needed not walk the entire distance. We took advantage of the loop no less than a dozen times. When asked attendees reported meeting their business objectives and described it as really good. Once again – the quality of attendees itself was mentioned by the exhibitors. Our entire playlist of video research for NAB Show is available online at our YouTube Channel.
With over 200 exhibitions and over 150 sessions on AI, generative AI was once again the star of the show. Amid the buzz about AI and generative AI transforming broadcasting, one question was on the mind of video engineers – “Will it affect our jobs?”. Luisa Winters had an answer in her keynote. If you are adapting and using the new technologies, you will be fine. No different from the move from tapes. More importantly, you will not only be able to deliver something acceptable but have time to make it great! Another keynote emphasized the importance of great metadata for your assets if you want to fully leverage generative AI solutions in sports coverage. As one might expect, there were countless examples* of tools for production and distribution and each of the tasks involved. Pixellot was on hand with their exciting deep learning automated sports tracking leveraged for streaming sports. Their solution leveraging their state-of-the-art cameras and patented technology that stitches it all together. As would be expected, each sport has its own model. In fact, they had over 10,000 live events streaming as I conducted the interview. Pixellot also includes capabilities for monetizing said sports streams.
One keynote provided a demo of Adobe Premier Pro, something we didn’t recall seeing at Adobe Summit.Backlight showcased their extensive collection of products for media content creation and distribution. Backlight’s solution leverages AI and generative AI to simplify media workflows. Backlight allows horizontal and vertical video distribution. Backlight leverages their own AI and LLM models to transcribe the video/audio. That transcription is then used to quickly generate all the metadata to put on social media. They leverage automation to automate the creation of sports highlight clips out to social media by registering all key moments as the game plays. Finally, their solution also enables monetization.
Amazon and AWS were at NAB Show in full force. A huge display was on hand where they shared their entire Generative AI stack with those looking to develop solutions. Experts were on hand if you had any questions including seeking insights on Amazon Bedrock. In the Microsoft pavilion, SymphonyAI was there as part of the beet the buzzer architecture that enables viewers to play along with game shows. Microsoft offered a Pilot demonstration of AI enabled marketing.
Transcription and translation are a big area for generative AI in broadcasting and media, sometimes referred to as localization. This topic was featured in a keynote as well as in exhibits. Microsoft featured their solution based on Open AI. TRINT featured their text to speech solution adopted across the industry. One exciting development is the ability to do full motion capture without putting on a special suit due to generative AI! In fact, Zerospace Captury was on exhibit sharing their solution. Interestingly, the room only requires about 15 minutes to set up the space to capture motion.
With all of the generative content capabilities shown, stopping misinformation and deepfakes was a very popular topic featured in a keynote. The solution involves knowledge of the content frequently communicated through metadata. To that end, Hand (Human & Digital) shared their solution for identity intelligence for notable talent.
Leveraging capabilities of 5g, XGN featured their solution that enables users to connect direct to mobile to send content from the field – no SIM card required! Cobalt Digital shared their extensive collection of open gear based on 2110, 12G and ultra-low latency. Their gear also supports Rest APIs. Cobalt Digital featured routers, control panels, and multi-viewers for video and audio processing. As might be expected with the continual increased resolution, a new video compression standard is being rolled out and is already rolled out in Brazil, LCEVC. In the LCEVC showcase, all the providers with their next generation of tech leveraging LCEVC were on display. Ateme also focuses on compression – for the purpose of technologies such as the Apple Vision Pro which they showed off in the exhibition. Once you created all your content, if you wanted to manage the programming data so it is accurate in every tv program listing, Titan TV shared their solution. If you wanted to optimize the way in which you manage ad campaigns, Showseeker shared their solution to simplify advertising scheduling.
For those requiring the ability to manage the labor and payroll for that remote labor, Procrewz shared their solution. If keeping track of and on top of all the compliance requirements for broadcast and streaming is your challenge, Vela exhibited their product.
NAB Show also featured technology and solutions to support the creator economy. In Vimeo’s session they stated that one can expect 2% of free YouTube subscribers to convert to a paid subscriber on Vimeo. For those wishing to participate in a reality show about making creators or leverage it for advertising, the team from the TV show Follow Me had a lively panel. The central Main Stage featured an interview with Jennifer Hudson. During the interview Jennifer told the audience that she is always cheering for everyone. A great session on diversity in broadcasting featured the Las Vegas Aces Alysha Clark who majored in broadcasting during her college career. Alysha Clark made the great point to all that inclusion means opening prime spots to diversity be it tv slots or board and executive spots in corporate America.
NAB Show is held every year in Las Vegas since 1991. The next NAB Show will occur April 5-9, 2025, in Las Vegas, NV.
*When vendors’ names are shared as examples in this document, it is to provide a concrete example of what was on display at the conference, not an evaluation or recommendation. Evaluation and recommendation of these vendors are beyond the scope of this specific research document. Other examples products in the same category may have also been on display.
