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🎥 The Future of Video AI: One Key. Every Model. Access Sora, Wan, and Flux instantly. Stop juggling multiple API keys and high costs. ⚡ Single Integration: One key for GPT, Claude, Gemini, and top video models. 📉 Lower Costs: Always cheaper than direct official pricing. 🛡️ Pro Stability: Built for scale and high availability. Don’t just follow the AI trend—lead it. 🔗 Get started: [https://bit.ly/4cDDLeS] #AIAPI #VideoAI #Sora #CometAPI #Claude #Gpt

Membership organizations are sitting on years of valuable knowledge: • Member resources • Support documentation • Training materials • Internal processes • Event content • Community expertise But most of it is difficult for staff and members to actually access when they need it. That’s where AI becomes practical. We created a free AI Blueprint for Membership Organizations showing how associations and member-based organizations are using AI to: • Improve member self-service • Reduce repetitive support questions • Make institutional knowledge instantly accessible • Create more value from existing content and expertise The results? More member sign ups, higher retention, and new non-dues revenue. Get the free blueprint.

Download free blueprint: Improve member engagement, retention, and experience with AI.

One commercial relationship. Better rates across AI providers.

Kimi K3 launched recently, and the AI world spent days debating whether it beat Fable 5. In a few weeks, that conversation will be about a different model entirely. Peter Diamandis called an emergency episode of the Moonshots Podcast when Kimi K3 dropped, bringing together Salim Ismail, Alexander Wissner-Gross, Emad Mostaque and Dave Blundin to make sense of what just happened. Their conclusion was this: a 2.8-trillion-parameter Chinese model built at a fraction of Western capital just proved that frontier intelligence can no longer be contained by geography, regulation, or corporate moat. Salim Ismail put it plainly: the shelf life of frontier intelligence is now weeks. The moment any model reaches the edge, something else is already closing the gap. In practice, the companies building AI strategy around a single model are making a bet on today's frontrunner in a race that resets every few weeks. By the time procurement approves it, evaluates it, and deploys it, the model they chose is already dated. The value was never in the model. As Ismail said, it was always in the architecture that could swap between them. It's time to move past overreliance on one model and invest in infrastructure that lets you leverage the best of all of them https://lnkd.in/gWWcQfA8

Concentrate AI is now the only independently owned, at scale, AI Gateway left and the only one where the sole purpose is to be the best gateway for companies https://lnkd.in/gZ9-eH-j

Building something new? Here's a problem worth thinking about. When a company builds a new LNG terminal, data centre, hydrogen plant, or power facility, they're putting millions of dollars into equipment on day one. But most predictive maintenance tools need years of failure history before they can actually predict anything. So brand-new assets go live with zero protection — until enough data piles up. That's called the "cold-start problem." In his latest article, INDRANIL PAUL (Director – Product & Solutioning at Codvo.ai) writes about why old-school predictive maintenance struggles here — and how starting with the physics of the equipment, instead of waiting on historical data, can solve it. With Codvo PIE (Predictive Intelligence Engine), you don't need to wait for failures to happen before you can predict them. The system uses equipment physics and known failure patterns to start predicting risk from day one. Read the full article here → https://lnkd.in/gJKw-3iK If this is relevant to a new asset you're commissioning, a data centre you're expanding, or a platform you're building predictive intelligence into — Enquire Now to connect directly with Indranil. #LNG #DataCenters #HydrogenEnergy #PowerGeneration #EnergyIndustry #Industrial #CriticalInfrastructure #Utilities #PredictiveMaintenance #PredictiveAnalytics #IndustrialAI #AssetManagement #AIforIndustry #DigitalTwin #ReliabilityEngineering #DataCenters #HydrogenEnergy #PredictiveMaintenance #IndustrialAI #CriticalInfrastructure #Codvo Amit Verma Manish Jindal INDRANIL PAUL VISHAL JHA Bala Sista Arpita Chatterjee

Most CS motions are built for your top 10 to 20% of accounts. Everyone else gets reactive service, missed expansion, and preventable churn. RevX unifies signals across product, billing, support, and CRM to identify risk and opportunity across your full customer base.

Top accounts get dedicated CSMs, QBRs, and exec sponsors. Smaller accounts do not have the ACV to justify that motion. So they get less attention. Renewals become reactive. Expansion stays untapped. RevX brings AI-driven revenue intelligence to every account in your base, surfacing opportunity and risk across the long tail, then acting on it at scale.

What if your team had an extra set of hands for every project, deadline, and deliverable? That's what CollectivIQ's Digital Direct Reports are built for. Today, we’re launching the newest solution from CollectivIQ: Digital Direct Reports. Or as we affectionately call them, DDRs. DDRs are AI teammates built for specific business roles. They have a name, a function, and a job to do. They connect seamlessly to your existing systems, including Jira, GitHub, Microsoft 365, Teams, and Outlook. They work when you can't, keep every project on track, and never lose context between conversations. Mohegan Sun is already using Digital Direct Reports to automate purchasing coordination and inventory tracking, giving their team back the time to focus on decisions that can move the business. The best intelligence, the best value, the most honest answers. Now with a job title. Digital Direct Reports are available now via CollectivIQ. Meet your new team https://lnkd.in/gWWcQfA8

What if your beautiful prototype could actually work? Go beyond mockups. Describe your app's logic and let our AI build a functional version you can launch and test with real users. Sign up for free.

Building with no-code is powerful, but wrestling with complex workflows is a grind. What if you could just describe your vision and have AI build it? Stop spending time on tedious logic and focus on your idea. Sign up free.

Point-in-time correctness is one of the hardest problems in ML training. Models often 'cheat' by peeking at tomorrow's data to predict yesterday's outcomes. They may look great in tests but end up faceplanting in production. Chalk prevents models from cheating - when you run offline queries with proper time bounds, you get the world frozen at that exact moment. Future transactions can't sneak into your training set. This is just one piece of our new guide on Chalk for Data Scientists. Link in comments.

Let’s put the AI in Paris. Cirrascale is headed to RAISE Summit July 8-9 at the Carrousel du Louvre in Paris. We’re the expert neocloud built for Private AI: that means dedicated infrastructure, full data sovereignty, zero public cloud exposure. If keeping the data you share with your AI private is important to you, book a meeting below. July 8-9, 2026 | Booth 3C | Book a meeting: https://lnkd.in/ghtHTYhM #RAISESummit

We're at RAISE Summit Paris, July 8-9, Booth 3C. Grab time with our team to talk Private AI infrastructure built for your workloads.

Chat can sketch a script. It can't map your environment, check the schemas, pass review, and run on a schedule. Belvedere turns intent into governed workflows your team can inspect, compile, and deploy.

The demo went great. Six months later it is still a demo: one notebook, one champion, no schedule, no owner. A program looks different. Workflows that run every day, carry their approvals with them, and belong to a team instead of a person. Belvedere turns the pilot into the program.

Transform your visual content. Coactive AI lets you search, tag, and build with natural language

The Coactive Multimodal AI Platform (MAP) Autumn ’25 is built for scale. 📈 We’ve reimagined how enterprises search, tag, and analyze large video and image content libraries — helping media leaders eliminate workflow friction and monetize more of their content. With MAP Autumn ‘25, media companies can maximize content ROI with: - 50% higher zero-shot tagging accuracy - Up to 60% lower ingestion costs - Easier content review, tag review and validation, for faster workflows Read our CEO’s launch blog (link in comments). #VideoAI #MultimodalAI #ContentDiscovery #VisualAI #VideoMetadata #AI #adtech #MultimodalAI #Media #Entertainment #ContentDiscovery

𝗔𝗜’𝘀 𝗻𝗲𝘅𝘁 𝗰𝗵𝗮𝗽𝘁𝗲𝗿 𝗶𝘀𝗻’𝘁 “𝗮𝘀 𝗮 𝗦𝗲𝗿𝘃𝗶𝗰𝗲.” 𝗜𝘁’𝘀 𝗮𝘀 𝗮𝗻 𝗔𝘀𝘀𝗲𝘁. We’re honored to be recognized by Messari for pioneering a new category: AI-as-an-Asset, where AI becomes ownable, auditable, and tradable through Non-Fungible Agents (NFAs). This report marks a major milestone: validation that ChatAndBuild is helping shape the next frontier of intelligence, one where creators, developers, and enterprises can build AI they truly own. Spotlighting our collaborations with Anthropic, OpenAI, Google Cloud, BNB Chain, the University of Oxford, and Lorong AI, it details how ChatAndBuild is transforming AI from a feature into a verifiable digital asset. Huge thanks to our community, partners, and Messari for the deep research. Read the full report here 👉 https://lnkd.in/e3A-shRM

Join us to learn how to enhance your security posture with AI-driven solutions and network with industry leaders. To mark this milestone and share the future of Cybersecurity, we invite you to an exclusive networking event with drinks and canapés. 📅 Date: 24 Oct 2025 ⏰ Time: 3:30 PM - 6:00 PM 📍 Venue: Club@28, Crowne Plaza, Causeway Bay, Hong Kong Our experts will demonstrate how this Google SecOps & CloudMile MSSP can transform your security operations. We’ll show you how to leverage AI to: 1️⃣ Proactively track and monitor security alerts with precision 2️⃣ Automatically respond to threats in real time, reducing manual effort. 3️⃣ Analyze behavior to detect and neutralize sophisticated attacks. 4️⃣ Optimize your security costs

Join us to learn how to enhance your security posture with AI-driven solutions and network with industry leaders. We're incredibly excited to announce that CloudMile is now a premium-tier Managed Security Service Provider (MSSP) for Google Security in GCR! To mark this milestone and share the future of Cybersecurity, we invite you to an exclusive networking event with drinks and canapés. 📅 Date: 24 Oct 2025 ⏰ Time: 3:30 PM - 6:00 PM 📍 Venue: Club@28, Crowne Plaza, Causeway Bay, Hong Kong Our experts will demonstrate how this Google SecOps & CloudMile MSSP can transform your security operations. We’ll show you how to leverage AI to: 1️⃣ Proactively track and monitor security alerts with precision 2️⃣ Automatically respond to threats in real time, reducing manual effort. 3️⃣ Analyze behavior to detect and neutralize sophisticated attacks. 4️⃣ Optimize your security costs

While others crash, Clarifai stays online. • Benchmark-proven 99.99% uptime and 610 TPS throughput. • Not all inferences are created equal—and that’s by design.

You shouldn’t have to choose between speed and cost. Clarifai gives you both—2× faster inference at 50% lower cost. Stop overpaying for slower GPUs and inflated infra bills.