Sneak Preview: Leveraging AI and Humans in Streamlined Streaming Workflows
On Tuesday, Nov. 10, ex-IBM Head of Unified Communications Scott Grizzle will moderate the Streaming Media Connect panel “Still in the Loop: Leveraging AI and Humans in Streamlined Streaming Workflows.” In an industry buzzing about ways to integrate AI into today’s streaming workflows, strategically positioning the humans in the loop is more critical than ever. How will large-scale streamers in 2027 balance AI automation with human oversight to build workflows that are both efficient and reliable? This panel pinpoints where human judgment still matters most and how to design streamlined pipelines that leverage AI from ingest to processing to observability.
Confirmed panelists include:
- Stephanie Lone, Global Leader, Solutions Architecture, M&E, Games and Sports, AWS
- Michael Dube, Founder & Team Principal, SoCal N Motorsports
- Magnus Svensson, Senior Advisor, Video Production & Streaming Strategy, Eyevinn Technology
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Stephanie Lone joined AWS as global director of M&E solutions architecture in 2022 with more than 25 years of experience leading digital teams and transformation efforts in various roles at ViacomCBS. In her most recent role as SVP of engineering at CBS Sports Digital, she led the technology teams and technical aspects for all digital platforms. Lone has managed CBS Sports’ record-breaking digital live streams for several marquee events, including Super Bowl LV, Super Bowl LIII, and Super Bowl 50.
“We think about AI like content-aware encoding for live, both from a budgetary standpoint as well as just being able to save costs on that bandwidth reduction,” Lone says.”AI is used already in a lot of different places to detect things like artifacts or freezing events, lip sync errors, and allowing those alarms to be surfaced. I do believe that it has a place and is being used quite a bit here from an automation standpoint."
Magnus Svensson is a Media Technology Advisor and Business Developer with extensive experience designing and leading modern streaming and media workflows. He works at Eyevinn Technology, an independent consultancy focused on helping media companies build scalable, flexible, and future-proof direct-to-consumer and streaming solutions. At Eyevinn, Magnus is at the forefront of developing cloud-native and software-based media services, enabling broadcasters, sports leagues, and content owners to take greater control of their distribution and monetization.
"Streaming already relies heavily on automation, so what fundamentally changes when we introduce AI agents?” Svensson asks. “I'm particularly interested in exploring whether we should focus less on keeping humans in the loop and more on putting humans on the loop, overseeing autonomous systems rather than approving every decision. AI has the potential to transform how we monitor, troubleshoot, and operate streaming services, but that raises important questions about trust, observability, and accountability. I'm looking forward to challenging some assumptions about where human judgment really adds value and what it takes to make autonomous streaming operations reliable."
Michael Dube is founder and team principal of SoCal N Motorsports and co-team principal of KDM Motorsports. He leads commercial strategy, partnerships, operations, media, and racing-intelligence direction, connecting the two programs through shared competition experience and trackside execution. As Director of Live Sports Advertising at Amazon Prime Video and MGM Studios, he directed program management for broadcast advertising in live sports and concerts, including Thursday Night Football.
“We’re moving beyond AI-assisted workflows toward AI-orchestrated production, where intelligent systems don’t just perform isolated tasks but continuously analyze content, identify meaningful moments, anticipate production needs, and assemble broadcast-ready assets in real time,” Dube says. “The greatest opportunity isn’t replacing people; it’s amplifying their capabilities. AI should handle the repetitive, time-sensitive work, freeing producers and engineers to focus on storytelling, creative decisions, and editorial judgment. I’m looking forward to exploring how we build these human-directed, AI-orchestrated workflows, what’s already possible today, and how they’ll reshape the economics and scalability of streaming production.”
Scott Grizzle spent most of his career selling video platforms, then three years at IBM buying one. At IBM's Watson Media unit he grew the partner business fivefold to 60 percent of the business unit's revenue, then moved into IBM's CIO office and had to run what he used to sell: unified communications and AI for 300,000 employees on a $100 million budget, consolidating Webex and BlueJeans onto Microsoft Teams and taking Copilot, Slack AI, and Box AI from pilot into production as IBM's Client Zero for Copilot. That's the chapter where he found out which vendor promises survive a real deployment and which ones only survive the slide. He now advises on partnerships, go-to-market strategy, and AI adoption in streaming and enterprise communications at thegrizzle.net.
“At IBM we used AI to improve delivery in two places,” Grizzle says. “In the streaming business, our software-defined CDN used it to balance load across multiple CDNs. In the CIO office, it read the telemetry from video conferencing and streaming, so we could see where quality was breaking and route through a different data center. On this panel I want to hear where AI is improving delivery and quality for the other speakers, and where they still keep a person in the loop."
Register now for Streaming Media Connect!
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