How AI can make your videos accessible at scale

Manually making videos accessible simply doesn't scale. AI can automate the entire process, from generating subtitles to creating transcripts. We used our own AI tools to make our library of 100+ videos accessible, saving time and creating a more inclusive experience for everyone. Learn how to make accessibility achievable at scale: https://okt.to/vpaxHV

Manually making videos accessible simply doesn't scale. AI can automate the entire process, from generating subtitles to creating transcripts. We used our own AI tools to make our library of 100+ videos accessible, saving time and creating a more inclusive experience for everyone. Learn how to make accessibility achievable at scale: https://okt.to/GuSFaM

Manually making videos accessible simply doesn't scale. AI can automate the entire process, from generating subtitles to creating transcripts. We used our own AI tools to make our library of 100+ videos accessible, saving time and creating a more inclusive experience for everyone. Learn how to make accessibility achievable at scale: https://okt.to/V7DaxC

Manually making videos accessible simply doesn't scale. AI can automate the entire process, from generating subtitles to creating transcripts. We used our own AI tools to make our library of 100+ videos accessible, saving time and creating a more inclusive experience for everyone. Learn how to make accessibility achievable at scale: https://okt.to/75632h

🤯 One AI tool to replace them all? I spent time testing Multiverse AI — a platform that gives you access to 20+ top AI models (GPT-5, Claude, Gemini, DALL·E & more) inside one clean dashboard. ✅ No juggling multiple subscriptions ✅ One-time payment (no recurring headache) ✅ Switch models in seconds for writing, images, and more But is it really worth it? 👀 https://lnkd.in/gb-S9Snn #AItools #MultiverseAI #AIProductivity #ContentCreation #Webjinnee #DigitalMarketing2025

Imagine if every person could have a daily conversation with AI. That’s the mission we’re building with the Tavis conversational video interface… tools, APIs, and extensions that make AI a natural part of everyday life. But here’s the bigger picture: AI shouldn’t replace what makes us human. It should amplify it, giving us more space to focus on learning, creativity, and insight. It may take 5 years. Or 50. But the goal is clear: work less, achieve more. #ConversationalAI #AIinnovation #FutureOfWork #HumanCenteredAI #AIvision

Let’s Grow with AI Together: Learning to Use It Smarter! AI is changing the way we design, build, and interact with products. But the real question is: are we using it in the smartest way possible? I recently came across a great video with Vitaly Friedman that explores how designers and teams can create more thoughtful, trustworthy, and user-friendly AI experiences. He shares powerful insights on how to make AI smarter—going beyond the hype and focusing on practical design decisions. Here are a few of my favorite highlights: - The use case for dynamic AI interfaces that adapt as users engage - How to design a less painful refinement journey - The best AI design patterns worth learning from and reusing - Knowing when to use quiet AI vs. visible AI - Why more products should be AI-second, not AI-first - The importance of slowing users down intentionally, so they make better choices - How trust gets built (or broken) in AI-powered experiences This is a must-watch if you want to move past buzzwords and start thinking about AI as a design tool that puts people first. https://lnkd.in/ePMHUfVA

With Lucas, our AI video creator, you can translate any video to another language (or multiple languages at once). Here's how it works.

Keal Blache, VP of global partnerships and strategy at vivenu, discusses where AI makes a difference in ticketing technology (and where it doesn't): https://lnkd.in/eX9zdrm5 #ticketing #musicbusiness #ai

What's the AI Agent Loop? Before you scale AI agents in your business, you must understand their fundamental operating logic. Every AI agent, from a simple chatbot to a complex workflow automator, follows the same core three-step cycle. This loop dictates how they interpret information and execute tasks. In the video, I explain this critical three-step cycle. I also show how it creates a continuous feedback loop that makes agents intelligent. Understanding this framework is essential for deploying AI strategically. Where do you see the biggest potential for failure when an agent performs a task for your team?