Orchestrating the Future of Short-Form Engagement with Quickplay and TwelveLabs

In the era of social media and streaming, the window to capture a viewer’s attention is measured in seconds, not hours. For global media organizations, the race to publish isn't just a content problem. It's an infrastructure problem — harmonizing fragmented tech stacks to deliver high-fidelity short-form video to millions of fans while the event is still happening.

By combining multimodal AI with enterprise-grade video pipelines, Quickplay and TwelveLabs have engineered a global orchestration engine to close that gap. Broadcasters can now turn live streams into social-ready assets at a speed and scale that keeps fans inside your platform instead of leaving for someone else's.

Join this session to learn how to:

Handle event-scale volume — why a centralized orchestrator is non-negotiable for load balancing and native broadcast system integration

Deliver clips in near real-time — understand the full latency contract going from live feed to published short-form

Unify fragmented tech stacks — consolidate multiple regional workflows into a single data and metadata layer

Scale without an editorial team — use semantic video understanding to automatically extract entities, actions, emotional moments, and narrative arcs

See it live — an end-to-end demo creating "Next-Day Packs" and real-time social updates that feel human-edited but are built by machines

Join this session to learn how to:

Handle event-scale volume — why a centralized orchestrator is non-negotiable for load balancing and native broadcast system integration

Deliver clips in near real-time — understand the full latency contract going from live feed to published short-form

Unify fragmented tech stacks — consolidate multiple regional workflows into a single data and metadata layer

Scale without an editorial team — use semantic video understanding to automatically extract entities, actions, emotional moments, and narrative arcs

See it live — an end-to-end demo creating "Next-Day Packs" and real-time social updates that feel human-edited but are built by machines

Join this session to learn how to:

Handle event-scale volume — why a centralized orchestrator is non-negotiable for load balancing and native broadcast system integration

Deliver clips in near real-time — understand the full latency contract going from live feed to published short-form

Unify fragmented tech stacks — consolidate multiple regional workflows into a single data and metadata layer

Scale without an editorial team — use semantic video understanding to automatically extract entities, actions, emotional moments, and narrative arcs

See it live — an end-to-end demo creating "Next-Day Packs" and real-time social updates that feel human-edited but are built by machines

Featured speakers

Allie Bernacchi

M&E Lead at TwelveLabs

Allie Bernacchi is a sales and growth executive with 10+ years of experience leading global strategy across media, entertainment, and AI, with leadership roles at IMAX and Inworld AI. She specializes in building and scaling go-to-market organizations, driving multimillion-dollar partnerships, and helping companies translate emerging technologies into measurable business growth.

Allie Bernacchi

M&E Lead at TwelveLabs

AJ Joiner

GTM North America at Quickplay

AJ Joiner leads North American Go-To-Market sales and strategy for Quickplay's sports and media verticals. A 25-year veteran of the broadcast and media technology space, he spent his first decade working across production, post-production, and marketing before transitioning to the commercial side. Over the past 15 years, he has specialized in architecting and selling complex, end-to-end software solutions to the world’s largest media and entertainment brands, helping them modernize their infrastructure and scale their digital offerings.

AJ Joiner

GTM North America at Quickplay

Peter Tanner

Senior Director of Software Engineering at Quickplay

Peter Tanner leads the development of AI Studio, an AI platform reshaping how broadcasters produce and deliver sports, news, and entertainment content. With nearly three decades across broadcast, digital media, and cloud-native engineering, he's building toward a future where AI handles repetitive work, freeing broadcast teams to focus on storytelling instead of stitching clips.