To demonstrate how innovative generative AI can be, I wrote this blog post with the assistance of an AI writing platform named Jasper.
Startups are building innovative solutions that solve pressing problems and revolutionizing entire industries in the process. These companies are leveraging the power of artificial intelligence (AI) to create new products, services, and experiences for their customers. As technology continues to evolve, businesses that are able to leverage generative AI will be in a strong position to stay ahead of their competitors and differentiate their offerings in the market.
What Is Generative AI?
Generative AI is a type of artificial intelligence that focuses on the generation of new and unique output from existing sources.
This technology can be used to create content, develop products, or provide services. In the world of AI, generative models are designed to learn from data and identify patterns, which can then be used to generate new content that is tailored to the user’s needs.
Examples of Generative AI
With this technology, businesses can automate tedious tasks, allowing them to manage their time more productively, collect data and insights, understand what's working well (and why), and experiment with different ideas rapidly. Consequently, businesses can provide a better customer experience overall.
Generative AI can be used by a multitude of industries in many different ways. From marketing to human resources to customer service, businesses of all sizes and sectors can benefit from the use of AI. Below we will discuss a few examples of generative AI models being utilized.
AI-Generated Images
1. Image-to-Image Translation
Image-to-image translation is when generative AI takes an image and turns it into a new, related image.
This could be used in a variety of ways, such as taking the style of an image and converting it into the style of another. For example, you can take a painting by Vincent Van Gogh and turn it into a real-life photo. You can take one of his paintings and add it to another image to get a similar style to his work.
Not only can a sketch be converted into a realistic image, but objects can also be extracted from one image and placed in another. Furthermore, the features of an image can be changed all the way to the color, gender, and even age of the subject. The possibilities are endless.
2. Text-to-Image Translation
Text-to-Image translation is when words are converted into images. This process can be achieved through machine learning algorithms that are used to interpret the written text and generate a corresponding image.
Text-to-image translation can be used to create content in a visual format without having to create it manually. Marketers and content writers can create unique and engaging visuals for websites, social media posts, marketing materials, and more from simple text instructions.
When using Generative AI, you need to provide it with inputs in order to get the desired outputs. This often requires a learning curve as you get familiar with what inputs work best. Even after receiving the output, there is usually still some editing required. Jason Allen, who won an art competition using AI, said it took him 80 hours to complete.
AI-Generated Text
1. Text-to-Text Translation
Generative text is a type of artificial intelligence (AI) that automatically generates new, original texts from a given text.
Text-generative AI leverages natural language processing (NLP) and machine learning algorithms to process and analyze existing texts in order to generate new ones. The technology is highly versatile and can be used for many different types of applications, from creative writing to scientific research. The generated texts can be used for various purposes, such as paraphrasing, summarizing, creating entire articles, writing product descriptions and reviews, and so much more.
Generative AI is enhancing the productivity of professionals in knowledge and creator-based economies. Through automating processes, writers, designers, and marketers can work more rapidly and efficiently. Furthermore, you don't need to be a professional to write, as it helps reduce the barriers to entry.
Remember that, at the beginning of this blog post, I stated that I wrote this blog with the assistance of an AI writing platform? Well, sometimes, I would type out some text and ask Jasper to rephrase it; other times, I might type out half a sentence and see what it comes up with.
2. Text-to-Speech
Text-to-speech makes it possible for machines to read out loud any text that has been inputted into them. The technology is able to recognize and interpret the text from documents, emails, webpages, or any other digital source. It then converts the text into speech that can be heard through a device, such as a speaker or headphones.
This technology is often used to make digital information accessible to those with visual impairments, reading difficulties, as well as to learn and translate different languages. Text-to-speech is used in various applications, such as customer service, virtual assistants, and audiobooks.
Text-to-speech creates a space for multitasking, as it can free up time from having to read through long articles or books, while still getting the same amount of information. It’s also a great tool for those who have different reading preferences, as the speech can be slowed down or sped up to suit individual needs.
3. Speech-to-Text
Speech-to-text is the opposite of text-to-speech. As the name suggests, it takes speech and converts it into text. This technology is used for a wide range of applications, such as dictation, voice search, virtual assistants, and more.
Essentially, this allows you to type as you speak. Instead of manually typing out a lengthy document or email, you can simply talk into the computer microphone and have it automatically transcribed. This feature is beneficial to those who are fast talkers or need to quickly get thoughts and ideas down in writing.
Speech-to-text also opens up opportunities for those with physical disabilities, as it eliminates having to type out documents and emails. There’s even glasses that show you subtitles as the person speaks!
Both text-to-speech and speech-to-text technologies are paving the way for more efficient and accessible communication.
AI-Generated Videos
1. Video Generation
Videos can be created using text, images, audio recordings, and other visual elements.
With the help of video generation tools, users can easily create impactful videos, whether they use text-to-video tools, image-to-video tools, or a combination of both. This technology uses machine learning and computer vision to generate videos from a given scene or image. Through the use of AI-assisted video production, some platforms offer simple drag-and-drop capabilities, while others offer advanced features, such as custom transitions and sound effects to create more dynamic videos.
2. Video Editing
Videos can be edited using generative AI-powered technologies. These tools allow users to edit their videos with precision and accuracy with minimal or no effort.
Generative video editing removes the barriers to entry, as you don't need to be an expert video editor to create beautiful, eye-catching videos. With Generative AI, you can easily add subtitles, speaker titles, intros and outros, graphics and highlighted text, and even music to your videos - without having to lift a finger.
AI video editors can help users save time by trimming videos, adjusting audio, and cropping to different aspect ratios. With Gen AI, you can efficiently repurpose one video into many assets for different platforms and use cases. Videos can further be repurposed into blog content, just as you can turn blog posts into engaging videos. Artificial intelligence video editing tools allow users to easily manipulate their video clips to look professional and polished.
Peech was honored to be featured in Base10's list of generative AI startups in the video editing space and to be awarded Best Product in AI & Data at the 2024 Product Awards. Our AI-powered solution helps video content creators quickly personalize and optimize their videos for different audiences and platforms at scale, automating the tedious editing process and making video repurposing a breeze. As a result, marketers can reach their business objectives faster, while providing customers with superior video experiences.
How to Get Started With Generative AI in Your Own Business
Generative AI is a great tool for businesses and marketers looking to create new and innovative content efficiently. By using generative algorithms, businesses can create products, services, or marketing materials that are truly unique. If you're looking to get started with generative AI in your business, there are a few things you need to keep in mind. Here are four tips to help you get started:
Understand the basics of generative AI and how it works: While the above is not an exhaustive list of generative AI, the sky's the limit. Now that you know the basics, you can start using it for your own purposes.
Identify the areas of your business where generative AI could be useful: Whether you work with written, video, or audio-based content, knowing the generative AI in that space and what it's capable of can help you make decisions on where to apply it.
Experiment with different generative AI tools and methods: Once you’ve decided on the “where”, move on to the “how”. Collect data and try out various tools.
Learn from your experiences and keep refining your approach: Generative AI works best when it's tested and refined over time. After you've collected data and used some tools, use the results to evaluate what's working and what's not.
Final Thoughts
Ultimately, generative AI helps you stay ahead of trends, speed up your workflow, and scale your business. Generative AI is a powerful tool to have in the workplace, and it will no doubt be a crucial element of many companies’ operations in the future.
For example, generative AI could be used in product design to create new products using existing designs as a base. It could also be used in marketing to come up with more effective marketing campaigns for targeted customers in a fraction of the time it currently takes.
What are you waiting for? Start using generative AI today to improve your business!
Are you ready to stop struggling with complicated video creation processes and start creating videos at scale?