The Good Tech Companies - How AI Is Changing the Way We Make and Share Videos

Episode Date: January 14, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/how-ai-is-changing-the-way-we-make-and-share-videos. AI tools like Dadan.io can help to propel video creators to new heights in 2025 and beyond. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-video-tools, #dadan.io, #online-video-editing, #ai-assisted-video, #video-marketing, #maximize-video-marketing-roi, #the-future-of-content-creation, #good-company, and more. This story was written by: @dadan. Learn more about this writer by checking @dadan's about page, and for more stories, please visit hackernoon.com. Video content is now arguably the most popular means of information sharing, education, and entertainment across the globe. To really reap the benefits of video creation and distribution, some form of AI assistance is required for long-term success.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. How I is changing the way we make and share videos, by Dayton. Video content is now arguably the most popular means of information sharing, education, and entertainment across the globe. We live in an attention-based economy, nothing captures attention as effectively as targeted video content. With the rise of social media, content can go viral across multiple platforms in a short period. The potential for revenue generation is huge. Studies have emphatically demonstrated that short-form videos offer more ROI than all other

formats. Yet to really reap the benefits of video creation and distribution, some form of AI assistance is required for long-term success. Though videos play a key role in the majority of marketing strategies, the difficulties of online video production are extremely understated. The difficulties of online video content creation. It's easy to look at online videos and assume that production was quick and easy. But you only see the finished piece, or the tip of the iceberg, in terms of what it took to release the finished piece. In reality, the process of recording and uploading a video runs more like the following 1. Research and ideate on a video topic for publication. 2. Record a video with

tested optimal settings, FPS, resolution, effects, etc. 3. Record again and again until it meets acceptable standards. 4. Edit the video using appropriate editing software. 5. Edit again and again until it meets acceptable standards. 6. Create a title, category, description, and transcription. 7. Upload to multiple social media platforms, filling in the title, category, description, and transcription on each. 8. Watch the video live. If it's incorrect or has errors, start the process again. This time-consuming process is just the recording and distribution aspect. It says nothing about what has to be done in terms of marketing to an audience and

interacting with them. The best video in the world will do nothing without marketing and engagement. Online collaboration is also an extremely neglected area in terms of video development. There are few tools that allow for effective online editing for our remote team, yet this functionality is essential in the startup and corporate environment, where videos play an increasingly prevalent role. Other concerns for online video specialists AI tools can help with many of the burdensome tasks associated with video creation. The obvious ones are the titles, descriptions,

transcriptions, making video, shorts, etc., which can be extremely boring and repetitive for creatives looking to make a real impact. Multi-platform bulk uploading might be another area where AI can be of major assistance. Video distribution also needs to form part of a wider content strategy to be effective, with landing pages, sales funnels, upsells, and more. It's still possible to do the hard work of getting views and have poor ROI due to inconsistent branding and or a lack of focus on conversion optimization. Effective collaboration is also an issue for video specialists. Video creation has long been the ambit of solopreneurs and individual content creators. But it has now gone mainstream.

Teams need to collaborate on videos to ensure brand consistency across channels. This also extends to personalized sales videos for customers. How AI tools like Dayton.io can help. AI services are an absolute necessity when it comes to the recording, collaboration and distribution of videos. There are simply too many time-consuming tasks involved with the video process. Tools like Dayton's AI Assist can easily remove many repetitive processes automatically. Without such tools, content teams and individual video creators would have to manually create the transcriptions titles tags chapters summaries descriptions videos to meetings notes ctas

interactions and other mundane elements of video creation features date in ai assist without ai assist transcriptions automated unavailable multi-language soon unavailable titles automated manual entry tags automated manual entry chapters automated manual entry summaries automated manual entry descriptions automated manual entry video to meetings automated manual entry notes automated manual entry ctas automated manual entry interactions automated manual entry such tasks are too time intensive to input, especially for those looking to excel in the increasingly competitive video creation industry. But he are critical for user-friendliness as well as SEO purposes. Users can easily browse to key points within the videos and have an insight

into the content from neatly generated descriptions, chapters, and summaries. Distribution is also greatly enhanced through improved reach and discoverability via auto-generated, SEO-friendly metadata. This greatly reduces laborious SEO processes. The tool is video-agnostic. Meetings, webinars, training sessions, sales demos, feedback sessions, and educational content are perfectly suitable for AI optimization. Online video collaboration for enhanced productivity data is unique in its asynchronous video collaboration tool. Virtual teams can be brought closer together for real-time collaboration. Comments can be left within the live video to be picked up by another team member, as opposed to having to look through emails and direct messages. These comments are set to a

specific time within the video, so no more need for timestamping. Resources can easily be attached for further context. It's ideal for remote teams. Team productivity can be significantly enhanced through this online collaboration process. It further allows for interactive videos through polls, quizzes, open-ended feedback, text overlays, and custom calls to action. This can really bolster engagement for users and assist with closing sales. AI is essential for 21st century video specialists. Anybody working with video needs to use an AI tool to automate repetitive processes and enhance the user experience. It's hard to imagine how to stay competitive without using an AI tool.

Dayton.io is designed to be beginner-friendly with an easy learning curve, while also boasting advanced editing and collaborative features. It further encapsulates the storage, recording, collaboration, distribution, marketing, and engagement in one neat, online repository, eliminating the need to study and learn about multiple external software platforms. Ultimately, AI platforms like Dayton will make video content much more accessible, easy, and direct than it has ever been before. It neatly rolls all the disparate video creation software elements into one simple online package.

Provided you can get the formula for video content correct, AI can only serve to supercharge the results.