LinkedIn image ad examples

Your GPUs aren’t the problem. Your data pipeline is. As AI moves from experimentation to production, many teams are hitting the same wall: underutilized GPUs, slow training, and rising costs, all caused by data bottlenecks. In this example, Salesforce saw GPU utilization drop as low as 40%—until they re-architected around data. By leveraging Google Cloud Managed Lustre powered by DDN, they achieved: ✔️ 70% increase in GPU utilization ✔️ 1.5× faster training ✔️ 42% lower training costs The takeaway: AI performance starts with data, not compute.

Während Sie noch über KI diskutieren, entwickelt Ihr Wettbewerber schon in einem Drittel der Zeit. Das ist kein Zukunftsszenario. Ein Hersteller aus dem produzierenden Mittelstand hat eine Entwicklungsaufgabe, für die früher drei Leute drei Wochen brauchten, auf eine Woche verkürzt. 85 % schneller. Der Unterschied war nicht ein neues Tool, sondern dass endlich alle es sicher nutzen durften. Denn die Realität in den meisten Häusern kostet doppelt: KI ist gesperrt, wird aber trotzdem genutzt. In 4 von 10 Unternehmen über private Zugänge, mit sensiblen Daten auf fremden Servern. Sie verlieren die Kontrolle beim Audit und gleichzeitig die Zeit, die andere längst einsparen. Dieses Unternehmen hat beides gelöst mit allen führenden KI-Modellen in einem Tool, gehostet in Deutschland. Governance-Lücke geschlossen, Entwicklung beschleunigt. Wie der Weg dorthin aussah, haben wir samt Vorlagen in eine PDF gepackt. 13 Seiten aus über 100 Einführungsprojekten im Mittelstand. Was in der PDF steht: ✅ Eine KI-Richtlinien-Vorlage, die Sie sofort anpassen können ✅ Plattformvergleich: deutsche Server, EU-Cloud, On-Premise ✅ Ein Champions-First-Rollout in vier Wochen ✅ Ein ROI-Rechner für Ihre Unternehmensgröße 👇 Jetzt herunterladen

Sie kennen das Gefühl: Sie wissen genau, was im Haus läuft, nur zugeben können Sie es nicht. KI ist gesperrt, genutzt wird trotzdem. Das ahnt jeder IT-Leiter, den Überblick hat kaum einer. In vier von zehn Unternehmen läuft sie über private KI-Accounts, an der IT vorbei – mit Konstruktionszeichnungen, Kalkulationen und halben Angeboten, hochgeladen auf Server in den USA. Das Verbot hat die Nutzung nicht gestoppt. Es hat sie nur aus Ihrem Blickfeld verschoben. Und was Sie nicht sehen, können Sie nicht schützen. Sie wissen nicht, welche Daten Ihr Unternehmen längst verlassen haben, und Sie können es niemandem garantieren, weder der Geschäftsführung noch einem Kunden, der nachfragt. Der bessere Weg ist nicht das nächste Verbot. Es ist eine sichere Alternative, die Ihre Leute freiwillig nutzen, damit KI wieder dort läuft, wo Sie sie sehen. Wie das geht, haben wir in eine PDF gepackt. 13 Seiten Praxis aus über 100 Einführungsprojekten im produzierenden Mittelstand. Direkt umsetzbar oder als Briefing für Ihre IT. Was in der PDF steht: ✅ Eine KI-Richtlinien-Vorlage, die Sie sofort anpassen können ✅ Plattformvergleich: deutsche Server, EU-Cloud, On-Premise ✅ Ein Champions-First-Rollout in vier Wochen ✅ Ein ROI-Rechner für Ihre Unternehmensgröße 👇 Jetzt kostenlos herunterladen

𝗦𝗽𝗲𝗮𝗸𝗲𝗿 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁: 𝗜𝗿𝗲𝗻𝗮 𝗕𝗼𝗷𝗮𝗿𝗼𝘃𝘀𝗸𝗮 (𝗭𝗮𝗹𝗮𝗻𝗱𝗼) Few days to go.... and we're excited to welcome Irena Bojarovska, Applied Scientist at Zalando, to this year's dida conference! Her talk "Beyond Accuracy: Agentic Workflows and Foundation Models in Demand Forecasting" looks at what it takes to move forecasting past a single accuracy metric, and how foundation models and agentic workflows are reshaping the way demand is predicted at scale. 📅 June 19, 2026 · 09:00–18:00 CET 📍 frizzforum, Friedrichstraße 23, Berlin-Kreuzberg Full lineup and registration 👉 https://dida.do/conference Spots are limited, so early registration is recommended. #MachineLearning #DemandForecasting #FoundationModels #AgenticAI #didaconference

Every AI model is only as good as the data it learns from, and the industry is running low on the high-quality text that made today's models great. Researchers call this the data wall. One obvious response is to have models generate more of their own training data. The trouble is that when a model learns from the potentially dubious outputs of other models, over and over, it drifts away from reality and degrades, a problem known as model collapse. The approach that actually works, and that's now used in nearly every serious model, takes a different path. Rather than inventing new data, the team at DatologyAI pioneered a technique at scale to transform real documents into forms a model can learn from more efficiently. Because the knowledge stays grounded in real material, the model keeps getting better rather than collapsing. It's a lot like taking a handful of good ingredients and making several different and amazing dishes from them. In our latest blog, a new type for us, we have created an explainer for anyone who wants to understand synthetic data without reading a research paper. It covers what synthetic data really is, why the common "it's just fake data" worry misses the point, and where it fits across the stages of model training. Link to the blog in the comments below.

📊 We just blind-benchmarked Phantom X 3.2 against the top real-time TTS models. Thousands of pairwise comparisons in English, scored by linguistic experts. 🔥 The Results 🥇 🥈 ✅Tied for #1 on expressivity (ELO 1545) ✅ #1 on time-to-first-audio at ~125 ms ✅ 2× faster than the next-ranked model on quality We beat ElevenLabs Turbo 2.5, Hume Octave, and Async Flash 1.0 outright. Tied Inworld TTS 1.5-max for first. Years of dubbing for the world's top streamers built our foundation in human-like, expressive speech. Phantom X 3.2 brings that foundation to real-time agents. 🎬 → 🤖 ➡️ Try Phantom X 3.2 in the Playground: https://lnkd.in/eykeWa5b ➡️ Read the full study: https://lnkd.in/eznrfkra #TTS #VoiceAI #ConversationalAI #VoiceAgents #RealTimeTTS #Deepdub #PhantomX

Detecting defects quickly can save your company thousands. Datature helped Ing. Büro Roth deploy robust, industrial-grade AI solutions for identifying equipment faults in production, significantly reducing downtime and boosting reliability. Your manufacturing line deserves proven AI solutions. Speak with Datature Today.

Datature enabled Gardyn to effortlessly scale their AI-driven plant monitoring and detection models for hundreds of thousands of customers. With no large team or heavy resources required, Gardyn achieved precise crop management and boosted customers' satisfaction. See how your agriculture business can similarly thrive with streamlined AI deployment.

AI is transforming the world, but it’s not a threat, it’s an opportunity. Digital Futures ensures the AI revolution creates real impact for individuals, industries and society. We don’t just prepare you; we give you the tools, knowledge, and support to lead the charge. Join us today and harness the power of AI to drive progress and create meaningful solutions for all.

RAG is becoming the go-to approach for building trustworthy AI. It improves accuracy, reduces hallucinations, and keeps costs down without constant retraining. Dataloop makes your data RAG-ready with automated chunking, enrichment, and real-time streaming into any vector DB. Schedule your demo today to learn how it works.

Gain full control over your RAG data lifecycle – from preprocessing multimodal content to curating live streams, experimenting with embeddings, and syncing seamlessly with your vector DB. All with built-in visualization, search, and governance at scale. Schedule your demo today to see how it works.

If you're ready to start your journey, apply now via the link in bio.

Corsair is a purpose-built inference platform designed to lower cost while delivering low latency, power efficiency, and high performance.

Data centres were never designed for reactive operations. A single unexpected equipment failure can impact uptime, increase operational risk, and trigger costly downstream disruptions. Yet most maintenance systems still rely on alerts after degradation has already begun. Introducing Codvo’s Predictive Intelligence Engine — combining physics-informed AI with operational data to detect equipment degradation 2–4 weeks before failure, classify faults, and support risk-based maintenance decisions before critical systems are impacted. Built for secure, air-gapped environments, it augments existing deployments without disrupting current infrastructure. Less downtime. Smarter maintenance. Greater operational resilience. Explore the solution: Predictive Intelligence Engine https://lnkd.in/gKTg5_9b #DataCentres #PredictiveAI #PhysicsInformedAI #DataCentreReliability #SecureAI #DataCenters #PredictiveMaintenance #PredictiveAI #PhysicsInformedAI #DataCentreReliability #SecureAI #AIinDataCenters #OperationalResilience #RiskBasedMaintenance #CriticalInfrastructure #SmartMaintenance #Industry40 #DigitalTransformation | Amit Verma | Vishal Sharma | VISHAL JHA | INDRANIL PAUL | Sumeet Sadhu | Bala Sista | Manish Jindal | Arpita Chatterjee

Stop Juggling APIs. Start Building. 🚀 Managing more different AI APImodel integrations is a nightmare for your dev team. CometAPI streamlines your entire stack into One API Key. Why CometAPI? 1. One Integration: Access Text, Image, and Video in one place. 2. 500+ Models: Instant access to GPT-5.4, Gemini, Qwen, and more. 3. 20%+ Savings: Optimized routing to help you spend less. Scale your AI product without the infrastructure headache Learn more : https://bit.ly/4cDDLeS #CometAPI #AIAPI #APIkey #AIAPIprovider #LLM

One Key. 500+AI API Models 🗝️ Stop juggling more API keys. CometAPI gives you a single, unified gateway to the world’s leading AI models—including GPT-5.4, Gemini, Qwen, and more. The CometAPI Advantage: ✅ One Integration: Access Text, Image, and Video in one place. ✅ 500+ Models: The most comprehensive AI library for developers. ✅ 20%+ Savings: Optimized routing to help you spend less. Stop managing infrastructure. Start building. Learn more : https://bit.ly/4cDDLeS #CometAPI #AIAPI #APIkey #AIAPIprovider #LLM

Create more value for your members with expert AI assistants that make your existing knowledge accessible, 24/7. Turn your proprietary content into a smart conversational assistant that delivers instant, accurate answers to members' questions. Enhance engagement, boost retention rates, and generate new revenue streams effortlessly, without any technical expertise required. Download the AI-adoption blueprint.

Say goodbye to tedious document searches and hello to 24/7 natural-language assistance for your members. With CustomGPT.ai for Membership Organizations, you can transform your knowledge base into an interactive resource that drives satisfaction and operational efficiency while unlocking additional revenue opportunities. Download the free blueprint.

Surgeons deserve tools that match their dedication to patient care. With Codvo.ai’s leadership in digital transformation using AI and machine learning, the Surgery Scribe optimizes your workflow by creating accurate EHR-ready notes almost instantly after surgery—saving precious hours daily while ensuring compliance and standardization across platforms like Epic or Cerner.

On June 12, 2026, at 5:21pm ET, Anthropic received a government directive and disabled Claude Fable 5 and Mythos 5 for every customer worldwide. No advance notice, no restoration timeline, no time to find an alternative. Businesses that had built workflows around those tools lost them in the blink of an eye. Meaning document workflows stalled, customer-facing automation stopped, and pipelines that ran quietly in the background went dark. This is not a cautionary tale; it is our current reality. Both models remain offline with no restoration announced. Single-vendor model dependency is clearly a risk. Regulatory shutdown joins outages, deprecation, and pricing as a distinct possibility, one with effectively zero notice and no clean recovery path. CollectivIQ offers the solution. When your entire AI operation runs through one vendor, one government directive takes your whole stack down with it. CollectivIQ was built so you never have to deal with this problem. https://lnkd.in/eJce7s9A Full coverage in the comments.

Pay less for AI—without committing to one provider.

Every AI provider. Better rates. One bill.

AI budgets keep growing, but that doesn't mean AI usage is. Many organizations are paying for multiple AI subscriptions without knowing who's using what, or whether they're getting value. CollectivIQ brings leading AI models together in one platform with centralized visibility and usage-based pricing, helping organizations control costs without limiting access.

Churn decisions are made 60–90 days before renewal. Your long-tail sends signals —but they're scattered across every tool your team uses. RevX unifies signals across product, billing, support, and CRM to identify risk and opportunity across your full customer base.