Brian L. Ring

🎉 StreamVX Joins the SRT Alliance to Advance Low-Latency Streaming Innovation 🎉 We’re excited to share that StreamVX is now a proud member of the SRT Alliance, a global community of over 700 industry leaders working together to make low-latency, secure video streaming more accessible and reliable across the public internet. At StreamVX, our mission is to provide robust and efficient video software solutions that meet the demands of modern broadcasters, telcos, and media platforms. We already integrated the SRT (Secure Reliable Transport) protocol into our product suite as it was a natural evolution of our efforts to ensure seamless video transmission even under unpredictable network conditions. 🔍 Why SRT? SRT is a free, open-source protocol originally developed by Haivision to address the challenges of live video streaming over unreliable networks. It enables secure, high-quality, and low-latency video delivery, making it an ideal foundation for real-time broadcasting, remote production, and hybrid workflows. By adopting SRT:     •    We expand interoperability with leading IP video infrastructures     •    Our customers gain access to broadcast-grade performance across a wide range of environments     •    We continue to future-proof our solutions for the dynamic demands of the video technology landscape Joining the SRT Alliance reflects our commitment to open innovation, collaboration, and delivering technologies that raise the bar in video quality and performance. We look forward to contributing to the continued development of SRT and supporting our customers with tools that power next-generation streaming workflows. 🔗 Learn more about the SRT Alliance: https://rebrand.ly/slr2jqa (https://rebrand.ly/db9pivc) 🌐 Explore StreamVX solutions: https://rebrand.ly/s9y319e (https://rebrand.ly/jgc79l4) #StreamVX #SRTAlliance #StreamingInnovation #VideoStreaming #IPVideo #BroadcastTech #LowLatencyStreaming #OpenSource #TechPartnership #FutureOfBroadcast

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In the infinitely configurable world of IP broadcasting, one of the big questions moving forward is which vendors will take the lead in delivering software-based replay solutions for live sports. At the Andrews Hub in Sydney, traditional replay operators are getting hands-on with new approaches that push beyond the familiar workflows they’ve relied on for years.   What powers replay 'under the hood' is evolving quickly. It will be interesting to see which vendors lean into that shift and which risk being left behind as the industry moves forward. #TFC #replays #BroadcastTechnology #LiveContents #Broadcast #RemoteProduction #IBC2025

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Another disguised AI miss “Broadcom’s Earnings: Singing ‘Deck the Halls’ While The Data Sings 'Not Like AI Boom At All' “…Broadcom is now one of the most systemically important companies in global markets. And beneath the festive cheer of the AI narrative, the valuations tell a much colder story….. It’s the financial equivalent of watching customers flood into a store, fill their carts, walk up to the checkout counter… and then leave without paying. The aisles look busy, the shelves look empty, the activity looks real—until you open the register and realize it barely moved. That’s Broadcom this quarter. Revenue is rising, receivables are ballooning, and cash flow is falling behind both—clear evidence that the company is booking demand, not monetizing it. This isn’t what the start of an AI supercycle looks like. It’s what the end of one often feels like: noise, motion, and excitement… with very little money actually coming in….” Coastal Journal https://lnkd.in/ehYwHSHe

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Monthly earnings is up in SF—while every other AV city saw drops. What do you think happened? San Francisco was one of the earliest AV markets—Waymo went fully commercial there in June 2024. Yet despite a drop in ride density and pay per unit, monthly earnings increased. San Francisco stands apart from every other AV-active market in our dataset. While driver pay fell in Austin, Phoenix, and LA—monthly earnings in SF increased, even as trips per hour, utilization, and unit pay all declined. That raises questions. Are fewer drivers staying active—and working longer hours? Is platform supply adjusting to early AV rollout? Or is demand shifting in ways that concentrate earnings? Our AV Impact Report compares these city-level trends to the national baseline—and helps clarify where AV activity might be playing a role. 📊 Austin, SF, LA, Phoenix 📉 Year-over-year changes in pay, volume, and utilization 📍 Local vs national baselines Download the report for a deeper look into the insights: https://lnkd.in/drHnjtCS

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What a great example of #airporttech! I like the "...friendly nudge by an officer." Excellent use case of curb management. Thank you Andrew K Kirk and Automotus for your partnership. INRIX #airports #govtech

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With 30 terabytes of native capacity, LTO-10 represents a major leap forward in cost-effective, sustainable, and cyber-resilient tape storage. In this recent Forbes article, Spectra Logic board member Barry Rudolph offers expert insight into how this next-gen technology strengthens tape’s vital role in long-term data preservation. Read the full story here👇 https://lnkd.in/gHk5Kxvi #DataStorageSolutions #LTO10 #TapeStorage

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Redwood Materials raises another $350M to power up its energy storage business The round was led by Eclipse and saw participation from Nvidia's venture capital arm, NVentures. https://lnkd.in/e8T_Qyhf

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A pattern I see with teams and partners getting started in voice AI: The ones scaling fast didn't start with the most impressive use case. They started with the most winnable one. 🦾 Simple call flow ☎️ . Clear cost savings ⏰ . Quick deployment. Internal buy-in earned in weeks, not months. That foundation is what lets them go after the complex stuff later, with budget, trust, and momentum behind them. We're breaking down exactly how those first use cases got picked next week. If you're a partner exploring voice AI, this one's for you!

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In this keynote from the Morgan Stanley TMT Conference 2026, NVIDIA CEO Jensen Huang discusses the rapid evolution of AI, the transition to a "token-based" economy, and why he believes compute has become the fundamental driver of global GDP. ​The Evolution of AI: Three Inflection Points ​Huang outlines the rapid progression of AI over the last two years through three distinct phases: ​Generative AI: The ability to convert information from one form to another and auto-regressively generate tokens [12:15]. ​Reasoning (01 Models): Moving beyond simple generation to grounded, fact-based reasoning and self-correction, which consumes significantly more compute (roughly 1,000x more than initial models) [13:38]. ​Agentic AI: The current frontier where AI uses tools, accesses files, and performs complex tasks. Huang highlights "Open Claw" as a revolutionary software release that surpassed Linux in downloads within just three weeks [15:31]. ​The "AI Factory" and Token Economics ​Huang redefines the modern data center as an AI Factory [19:01]. ​Compute = Revenue: He argues that a company’s revenue is now directly correlated to its compute capacity. Just as a physical factory is power-limited, an AI factory's output is limited by "tokens per watt" [21:01]. ​Inference King: Huang claims NVIDIA remains the "Inference King," providing an order of magnitude better performance-per-watt than competitors, which translates to the cheapest tokens per dollar [22:06]. ​Agentic Software: Every future software company will become an "agentic" company, renting digital experts (tokens) rather than just licensing tools [23:43]. ​Strategic Investments and Partnerships ​OpenAI: 🔥 Huang confirms NVIDIA has finalized a $30 billion investment in OpenAI, noting that OpenAI is expected to go public toward the end of the year [32:24]. 🔥 ​Infrastructure Expansion: NVIDIA has helped expand OpenAI’s capacity beyond Azure to include OCI and Amazon Web Services (AWS) to meet massive demand [33:19]. ​New Players: He mentions the emergence of MSL, a new AI lab requiring "a few million GPUs," adding to the massive demand from Meta and other tech giants [34:20]. ​The Next Frontier: Physical AI ​Huang predicts that the next decade will be defined by Physical AI—AI with physical awareness, understanding of laws of physics, and causality [35:12]. ​NVIDIA is leading this through models like Cosmos (physical AI), Alpamo (autonomous vehicles), and Groot (humanoid robotics) [35:58]. ​He mentions a "co-innovation lab" with Eli Lilly and Company to apply these full-stack capabilities to digital biology [37:45]. ​Future Outlook ​Huang concludes that we are only at the beginning of this journey. He predicts that the entire IT industry—a multi-trillion dollar sector—will shift to being fueled by compute and token consumption, effectively making Compute = GDP for nations and corporations alike [40:20]. ​Video Link: https://lnkd.in/dNM_bwb9

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