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Broadcast’s Next Big Bets: Reinventing the News Business in an Age of Accountability - April 19th: 1:00pm - 3:00pm
Broadcast news is entering a new era of accountability.
Audiences are fragmenting across streaming, mobile, and connected TV. Ownership groups are consolidating as regulatory dynamics evolve. And leadership teams are under pressure to demonstrate real performance, across audience growth, operational efficiency, and revenue.
Incremental change isn’t enough. The question many broadcasters are now asking is:
What are the bold bets that will define the next decade of the business?
- Should newsrooms continue operating separate broadcast and digital workflows, or rebuild around a unified, multi-platform model?
- Will ratings remain the primary signal of success, or will new audience and engagementmetrics reshape editorial strategy?
- How will AI reshape newsroom workflows, audience experiences, and the economics of producing news?
And where will the next generation of revenue come from streaming, direct audience relationships, new advertising models, or something else entirely?
In this main stage conversation, WPLG will share the most significant bets their organizations are making right now, from restructuring newsrooms and redefining audience strategy to experimenting with AI-driven production, personalization, and distribution.
Broadcast has always evolved with technology, but what’s different today is the speed of change and the level of accountability to the business that is behind the decisions.
This session will explore the bold choices broadcasters are making now to build the next model for the industry.
From Breaking News to Breaking Through: Scaling AI-Driven Media Workflows with AWS + Arc XP - April 20th: 2:15pm - 2:45pm
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Speed is no longer the advantage—intelligence is.
Today’s media companies aren’t just competing to publish first; they’re competing to deliver the most relevant, personalized, and engaging experience across every channel. But many are stuck in “pilot purgatory,” experimenting with AI without scaling impact.
In this session, Arc XP and Amazon Web Services share how to operationalize AI across the full content lifecycle.
We’ll cover:
- The biggest blockers to scaling AI in production (and how to overcome them)
- How AI agents are transforming editorial workflows—from research to copy editing to distribution
- A reference architecture for building scalable, cloud-native media workflows on AWS
- How Arc XP brings it all together into a unified platform
Plus, hear how a leading publisher is already using these capabilities to accelerate output, improve accuracy, and unlock new audience growth.
If you’re ready to move beyond experimentation and into execution, this session is your roadmap.
The AI-Native Enterprise: Orchestrating Multi-Agent Teams for Global Scale - April 21st: 11:45am - 12:15pm
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Join Andy Eyherabide (CAIO, Wizeline), Ashok Seshadri (SVP of AI, United Talent Agency), and Joe Croney (CTO, ArcXP) for a deep dive into accelerating the shift from AI experimentation to scaled, production-ready deployments.
Learn how leaders across media, entertainment, sports, and publishing are orchestrating platform-integrated agents to automate complex workflows, supercharge content production, and drive massive operational efficiency amid industry disruption.
From Rundown to Runtime: AI-Native Video Workflows - April 20th: 9:30am - 10:00am
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For decades, video production has been organized around the rundown, a linear model built for broadcast. But today’s audiences do not live in rundowns. They live across apps, feeds, and platforms that demand continuous, adaptive storytelling.
Joe Croney brings experience spanning linear broadcast and modern digital platforms, and coined the concept of Audience 3.0 to describe the shift toward dynamic, personalized media experiences.
In this session, he explores how leading media organizations are moving beyond asset-centric pipelines to story-centric, AI-native workflows, where content is structured as dynamic story objects that flow across tools, teams, and platforms in real time.
Drawing on real-world work with emerging AI models like ElevenLabs and modern cloud architectures, this session will cover:
- Why traditional broadcast and digital workflows are converging and breaking
- How AI is reshaping production from creation to distribution
- What it takes to connect fragmented tools into a unified, cross-platform system
- Why the next phase of the industry will be defined by shared context and cross-vendor AI coordination
You will leave with a clear view of how to evolve your video operations from linear pipelines to intelligent, adaptive systems built for where audiences actually live.
