KEN RUCK
ニューヨーク都市圏
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概要
Revenue, BD and Product executive with experience for film, sports, OTT, major e-commerce…
KENさんの記事
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Tier 1 sports production value at Tier 3 production budgets: How AI saves on budgets
Tier 1 sports production value at Tier 3 production budgets: How AI saves on budgets
For years, sports broadcasters and media houses have played a delicate balancing act—creating more content, on more…
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Broadcasting the Moment: Real-Time Highlights for a Social-First Generation2025年1月21日
Broadcasting the Moment: Real-Time Highlights for a Social-First Generation
Broadcasting highlights into social media is now the most important channel for viewers. Sports broadcasters are in a…
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アクティビティ
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KEN RUCK さんがシェアしましたNAB is here. Magnifi and I will be there! I'll be at Booth W2300D (AI Innovation Pavilion) with the team, diving into how AI is transforming video workflows across sports and news. From automated highlights to faster, smarter content creation - if this is something you're exploring, let's talk. Come by the booth or drop me a message to set up time. #NAB2026 #AIInnovation #SportsTech #MediaTech #VideoAI #Broadcast #ContentCreation #sportsAI #livestreaming #broadcastproduction #newsproduction #sports
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KEN RUCK さんがシェアしましたWhen work and your life balance - I was at the University of Denver with my son on a college visit watching the game while Magnifi was creating the highlights on one of the most exciting games that I’ve ever watched. Go Pioneers! Bring home the Natty!KEN RUCK さんがシェアしましたChampionship dreams are on the line this weekend as our partners, the National Collegiate Hockey Conference (NCHC) NATIONAL COLLEGIATE HOCKEY CONFERENCE and the formidable Denver Pioneers (University of Denver) battle it out in the NCAA Men's Ice Hockey Championship against the Wisconsin Badgers. With a legacy of excellence and multiple national titles under their belt, the Pioneers are ready to chase glory once again. At Magnifi, we have always endeavoured to bring fans closer to every moment, every play, and every emotion, all while supporting our partners in amplifying the action. Full AI-powered highlights "powered by Magnifi" will be available right after the final buzzer. “It’s time for puck drop!” 🏒
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KEN RUCK さんが再投稿しましたKEN RUCK さんが再投稿しましたIf every new clip demands a fresh round of template design, you are spending your most valuable hours on the wrong layer of the work. Magnifi’s Automated Dynamic Templates take that layer off your plate. You set up your visual system once, and it carries through every piece of content you produce. The format stays consistent, while the details update automatically with each clip. Scores, player names, images, and sponsor elements all come together without manual effort. This does not replace creative thinking. It creates more room for it. When repetitive work is handled, your team can focus on shaping the moment and how it connects with the audience. If you want to see how it works in practice, the last slide shows you where to start.
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KEN RUCK さんが再投稿しましたKEN RUCK さんが再投稿しましたReuters Imagen offers seamless Magnifi integration. We’re excited to announce a new collaboration that provides broadcasters, sports organisations and media companies with an option to extract more value from their Reuters Imagen archive and live feeds. Magnifi’s AI-powered tagging and automated moment detection is now offered within Reuters Imagen. Further enabling discovery, highlight creation, and secure monetisation at scale. Activate the full value of your video library with speed, accuracy and governance. See the full release here: https://gag.gl/ReahXU
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KEN RUCK さんがシェアしましたWe use AI to automate your highlights but we also supply a world class live editor for your own manual Storytelling.KEN RUCK さんがシェアしましたLive sports production moves at a relentless pace. While AI automation has changed the game, editors are often pushed to choose between speed and creative control. Magnifi’s Live Editor eliminates that trade-off. It surfaces key moments in real time and lines them up for instant action, while you stay in control of the edit. You can jump straight to AI-detected events, fine-tune with frame-level precision, and publish high-quality clips in seconds, all within a single workflow. No switching tools, no digging through raw footage.
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KEN RUCK この項目を投稿しましたMELT files solved yesterday’s problem. Magnifi solves the MELT files problem. But today they’re slowing down sports production workflows. I’ve been speaking with production teams recently about how highlights actually get created from a game. The workflow usually looks like this: Editors take the broadcast and multiple ISO feeds → Manually cut the same play from camera 1, 2, 3, 4 → Build long MELT files compiling those moments → Send those files to vendors to “un-melt” them and generate metadata. It works. But it’s also one of the most time-consuming and expensive steps in the workflow. And the interesting part is, the data you need is already inside the video. At Magnifi, we approach this differently. Instead of creating MELT files and reversing the process later, we analyze all the feeds directly (broadcast and ISOs) That means: • AI can identify key plays across feeds as they happen • Moments are automatically time-stamped and tagged • Editors can quickly access clips from individual ISO angles • No need to manually assemble MELT files first The result is simple: You go straight from video → to searchable plays → to usable clips. No extra file creation step in between. No need for massive and costly storage repositories of MELT files. This is where AI starts to improve sports production workflows in a very practical way — not by adding another tool, but by removing an entire step. Curious how others are handling ISO feeds and MELT workflows today. #sportsproduction #broadcasttech #sportsmedia #liveproduction
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KEN RUCK さんがシェアしましたOther partners lock you I to their workflow. Magnifi.AI allows you to use any partner or workflow that is best for you.KEN RUCK さんがシェアしましたVendor lock in often goes unnoticed until teams need flexibility. In sports video and broadcast tech, the real advantage is knowing your content and data remain accessible as workflows evolve or providers change. Open systems support continuity and confidence over time, without compromising speed or ease of use. In this FAQ, we explain what vendor lock in means, the choices teams should consider, and why transparent data ownership is becoming a smarter long-term foundation. Swipe through to learn more. #SportsTech #VideoAutomation #FAQ #Magnifi
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KEN RUCK この項目を投稿しましたBudgets are getting cut fast. But the sporting content calendar is not. Here’s your solution. I keep hearing the same pressure from sports media teams right now: publish more highlights, more social clips, more versions, and faster turnarounds, with fewer people and less spend. Here is what cost savings actually looks like in practice. It comes from automation and simplification. Fewer steps from live moment to publish. Less time spent searching, clipping, formatting, tagging, and creating platform-specific versions. Less tooling overlap across teams. Fewer handoffs that slow everything down and add hidden cost. That is what Magnifi is built to support: one platform that can ingest live and archive content including ISOs and MELTs, automate key parts of the workflow, and help teams deliver consistent output across channels, including social and OTT, while lowering the cost per piece of content. Cost savings are not a side benefit anymore. It is the strategy. If you are being asked to deliver more content with a smaller budget, I am happy to compare notes on what is working. #livesports #sportsproduction #AI
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KEN RUCK さんがシェアしましたMagnifi recognized as the best in AIKEN RUCK さんがシェアしましたAI is changing how sports organizations connect with fans, drive revenue, and streamline operations, and this year’s 𝗦𝗽𝗼𝗿𝘁𝘀 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝘄𝗮𝗿𝗱𝘀 𝗧𝗲𝗰𝗵: 𝗕𝗲𝘀𝘁 𝗶𝗻 𝗔𝗜 nominees are leading the way 🤖 These innovators are using AI, machine learning and LLM-powered solutions to boost revenue, enhance fan engagement, streamline operations, and build long-term competitive advantage. Meet the nominees: ✅ Elevate Performance & Insights Cloud (EPIC) ✅ Formula 1 & Amazon Web Services (AWS): Track Pulse ✅ Fastbreak AI Pro Schedule ✅ Magnifi ✅ Major League Soccer AI Center of Excellence ✅ SeatGeekIQ ✅ WolfCycle Read more: https://ow.ly/t8LF50Y3Kmj
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたSolving a 30-year-old case with 23,500 documents is a feat that stretched-thin investigators no longer have to tackle alone. With our recently launched AI-powered tool, Veritone Assess, the COLD CASE FOUNDATION is transforming decades of complex, unstructured case files into actionable leads in minutes rather than months. “It allows us to explore this case from any angle possible because we have the time to do so now. We wouldn’t have that luxury if we had to review every single document,” said Butch Rabiega, AI Program Director at the Cold Case Foundation and a former FBI analyst. By helping automate the most time-consuming aspects of evidence review and compliance checking, Veritone is enabling operational efficiency, transparency, and accountability in government investigations and audits. More on Veritone Assess here: https://lnkd.in/gS_rrWbC
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたMy updated framework, which will probably change in two weeks. This has nothing to do with a winner or loser scoreboard. The real structural advantage in AI is playing out across two layers. And the companies that understand both are building moats most people haven't priced in yet. Layer 1: The Interface Owners Google Workspace. Slack. Salesforce. iOS. ServiceNow. These platforms own the surface — and they control what gets seen, embedded, and converted at the exact moment a user needs it. On the enterprise side, nobody is ripping out their ERP to start fresh. The switching cost is existential. Years of data, workflows, and integrations baked into systems the business cannot operate without. So AI doesn't arrive as a replacement. It arrives through the seams — headlessly, into infrastructure that was already non-negotiable. On the consumer side, it's more personal but equally sticky. Your files are in Drive. Your muscle memory is in Sheets. Gemini is already in your inbox, your calendar, your photos. You're not evaluating AI in the abstract anymore. You're evaluating whether the AI version of your tools is worth paying for. That's the freemium conversion nobody talks about. Layer 2: The Headless Tools These tools have no interface of their own — and that's by design. They don't want a surface. They want to become infrastructure underneath the surfaces people already use. Wispr Flow is your voice and keyboard, running invisibly across every app on your device. No new tab. No context switch. Omnipresent by distribution. Anthropic Claude in Slack is the same playbook. Slack owns the interface. Claude lives underneath it, especially with Tags. The @mention is the entire UX — inside a workflow people are already in for eight hours a day. But the less obvious ones are worth watching e.g. CopilotKit — building the protocol layer for agents to live inside applications as dynamic, context-aware infrastructure. Most people haven't heard of it. Glean — enterprise search infrastructure. The connective tissue between scattered company knowledge and the people who need it, embedded into tools teams already use. The through-line: Headless tools need platforms for distribution. But the best headless tools make platforms stickier — which reinforces the platform's position. It's symbiotic until one side decides to vertically integrate. Enterprise AI wins by eliminating the rebuild conversation. Consumer AI wins by making the switch cost feel personal. Either way, every new integration compounds the moat. Gartner projects 40% of enterprise applications will embed task-specific AI agents by end of 2026. Up from less than 5% last year. That's not a product trend. That's infrastructure becoming invisible. The best AI distribution strategy was never go-to-market. It was get embedded before anyone thought to ask permission
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたIt's pretty obvious to everyone that everything in AI is converging. Companies I couldn't have imagined competing with each other are today. The application layer is collapsing into infrastructure, infrastructure companies are moving up into workflows, and almost every startup is rebranding itself as some version of a transformation company. The words change every few months: context graph, system of action, organizational world model. A new category gets named, every website absorbs it, and within weeks the market is filled with companies claiming to be the inevitable platform for how work will change. The harder thing to copy is the institution underneath: the way a company attracts exceptional people, organizes their ambition, concentrates judgment, distributes authority, and turns work into a compounding system no other company can reproduce. ….The best companies in the world do not only compete on category, market, or compensation. They compete on identity. Jaya Gupta’s words summarizes the market and how many feel well.
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたHope you all had a great Cannes or VidCon. And if you did both, you are a hero. Answers to all the questions I’ve been getting for the last three months about FOX Creator Studios, here in one place. https://lnkd.in/gFWig4JgEverything You Wanted to Know about FOX Creator StudiosEverything You Wanted to Know about FOX Creator Studios
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたBuilding an infrastructure business is hard, and for a slightly counterintuitive reason: when someone asks "so what do you actually do?", there are a dozen right answers. Stripe is infrastructure for payments. Twilio is infrastructure for messaging. The power of a platform is that it shows up across a hundred different workflows, which is also exactly what makes it tough to capture in one clean sentence. ScorePlay is the media infrastructure behind 300+ sports organizations and broadcasters. So how do you get people to actually understand what that means? You talk about it relentlessly, in as many rooms as you can, until the picture comes into focus. Last week was a good run at exactly that. I did three panels across New York and closed it out at the AWS conference for "Closer to the Game: How AWS Powers the Future of Football," an event AWS ran with the Bundesliga. I was on the "Content Understanding in Sports" panel, digging into how clubs, leagues and broadcasters manage the flood of content modern sport produces every single day. Two podcasts also dropped this week: - One in French with Sébastien Couasnon on tech 45', getting into how every federation, team and player has basically become its own media company. Thanks Sébastien for having me on, it was a really fun conversation! - One with Katie Nowak on @Beyond the Raise, where we went deeper on the venture side: how an operational sports content problem turns into a real infrastructure company. I have always been a big fan of Katie so really honoured by the invite and the sharp questions! Links to all of it in the comments.
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたI’m thrilled to announce the launch of Veritone Assess, our latest AI-powered solution designed to empower public sector professionals. Assess allows agencies to uncover hidden discrepancies, policy violations, evidentiary gaps, and investigative leads across vast volumes of complex, multimodal data. Data overload is a critical bottleneck for government agencies, and Assess provides a much-needed breakthrough. By automating complex dataset analysis and ensuring compliance, we help agencies mitigate risk, accelerate workflows, and allow investigators to focus on what matters most: public safety. Learn more about the launch of Veritone Assess: https://lnkd.in/gMDYVgfS #veri #publicsafety #genai
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたIs anyone not going to Cannes? Corporate expenses might have given Nice double digit travel growth for the month.
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたOn Tuesday, July 7 at noon PT, Veritone will be hosting our virtual Innovation Showcase! Please register here: https://lnkd.in/gzMz-N6J I’m particularly looking forward to sharing Veritone’s latest technology and solution developments, as the conversation around AI has fundamentally shifted over the last couple of years. Historically, the industry’s focus has been almost entirely on raw computing power and the models themselves. But as public internet data scraping reaches its limit, the real bottleneck is high-quality, proprietary data. Most of the world's most valuable information is still trapped in unstructured formats—decades of video, audio, and documents. At Veritone, we founded our company on a simple observation: organizations have had no practical way to understand, organize, or extract value from this information at scale. Our mission from day one has been to find the "truth in the signal" and turn that unstructured data into a competitive moat. We’ll share a firsthand look at how we are building the infrastructure, applications, and data ecosystem to power this new data economy. We will walk through real-world solutions—from helping sports brands monetize archives to enabling public safety agencies to securely analyze evidence. Whether you’re a customer, partner, or investor, I hope you’ll join us to see what we’ve been building. #veri #veritone #ai #genai #data
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KEN RUCK さんが「いいね!」しましたKEN RUCK さんが「いいね!」しましたThoughtful panel last week with TwelveLabs ScorePlay BRAHMA AI @ Closer to the Game: How Amazon Web Services (AWS) Powers the Future of Football. Thank you Victorien Tixier Patricio Cummins Carin Forman Jesse White cc Veritone
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Chairperson
United States Selective Service Draft Board
– 現在 20年11ヶ月
公民権・社会貢献
The US Selective Service Draft Board is a group of volunteer citizens who would determine who among those required to register for a potential military draft would receive deferments, postponements, or exemptions based on individual circumstances.
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What’s one way to know your prediction hits the mark? When @faultline’s @ Tommy Flanagan writes “we wholeheartedly agree.” In his latest issue, Tommy ponders an important question about the growth of short-form content: will its adoption go behind tier-1 broadcasters to niches streamers? I’d argue AI-driven shorts are a necessity for niche and tier-1s alike who want to compete (and win) against the creator economy. The reality is, viewers need more reasons to stay engaged within broadcasters’ ecosystems. AI-driven shorts give them the velocity and intelligence needed to break viewers’ habits of scrolling through their TikTok feed, and instead staying within their O&O platforms. Simply put, the conversation has moved beyond how to participate in the creator economy to where that economy lives. In 2026, the streaming wars will pivot from a battle over library depth to a fight for the discovery funnel. What do you think?
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