What Is Generative AI

Generative AI is a new kind of artificial intelligence that generates content. It’s a type of AI that is different from traditional machine learning, which learns from data and uses it to make decisions. As a result, generative AI has the ability to generate new content at a rate that’s faster than humans , making it possible for AI to generate images, text, and even video simply from the commands given.

Generative AI models are trained to create images or videos by feeding them inputs like images or video clips and then learning how to recreate those images or videos when given new inputs in the future. Generative models are often used for machine learning tasks like autonomous driving, which requires an agent to autonomously decide when and where to stop at a traffic light. Generative models can also be used for 3D rendering, which gives us the ability to create any object we want in digital form—from a chair to a building—by simply feeding it into the system.

Uses Of Generative AI In Your Business

Generative AI can be used to create any kind of content, including images, video, and text. Generative AI also has the ability to generate new data by itself. This can be used in a variety of ways; for example, websites can use generative AI to generate images that can be used to promote items or generate 3D images of products.. Generative AI can even be used on social media platforms, allowing users to create new content based on trends due to generagive AIs ability to replicate patterns(trends) in algorithms.

Generative AI has many benefits, such as:

-It can be used in the advertising industry to produce new ads

-It can be used in the architecture industry to produce new buildings

-It can be used in the music industry to produce new songs

-It can be used in the art world to create new pieces of art

Generative AI In Product Data Enrichment

When it comes to enriching data, generative AI is probably not the first thing that comes to mind, but this is a solution that shouldn’t be left out. Generative AI can be used to fill in product descriptions, product images and product titles based on what the customer is looking for. This is because algorithms within the AI are able to fill in missing data such as shoe sizes standardised to all regions of the world (Not just UK and US). These tasks usually take lots of time and with the help of generative AI this can be completed quickly and efficiently, with the bonus of costing the business less.

Generative AI can also be used to create product images which is more cost effective than hiring a graphic designer. This is because graphics can be made from simple prompts rather than from the use of someone else’s costly time.

Generative AI can also enrich product data by:

-Creating more realistic images and videos

-Generating new designs and/or materials

-Generating brand new products

Generative AI can also provide new insights into the products by synthesising them with other data sets. For example, generative AI can generate new variations of a product based on its colour or texture, which could be used to create a more appealing product for consumers who have preferences for those characteristics.

In 2023, AICA will be implementing generative AI into their product data enrichment arsenal alongside many other state of the art technologies. Thank you for taking the time to read this information. We hope you found it useful.