Visual Intelligence

Visual Intelligence combines two phrases you likely have already heard thrown around: computer vision and artificial intelligence, also known as AI. Computer vision sees images, but the essential structure, more importantly, can recognize them as a human can. The important thing to remember is that computer vision is not a human; it’s a machine which means the biases, opinions and emotions we carry with us as humans are removed. 

Artificial intelligence works in tandem with computer vision to create a powerful tool that not only recognizes images but continues to learn about what it’s seeing and the applications are endless. This results in software that knows elements within images beyond what even the human eye can see. This information can be applied to things like algorithms and learning models. It can be used in everything from having lists of automatically applied tags referencing all the elements seen in an image to surfacing content by keywords that didn’t need to be manually categorized and sophisticated content analysis. 

Visual Intelligence for Marketers

Any technological advances in a field of work can create uncertainty. No one wants to have their job taken over by a computer and particularly in creative processes, some find it hard to envision using a computer as an aid. However, the use of Visual Intelligence software in marketing has been on the upswing in recent years. Marketers realize that embracing visual intelligence technology makes them more efficient at their jobs. Leveraging the unbiased analysis provided can help them de-risk content pivots and identify trends quicker to stay one step ahead when competing for market share.

How Visual Intelligence Helps Brands Save Money

It’s no secret that producing owned content is time-consuming and a significant investment that takes up a large portion of any marketing budget. This is where the most innovative marketers see opportunities to incorporate visual intelligence technologies into their process. Many opinions are considered when planning the creative direction before a photo shoot. Consequently, it's easy to return to outdated ways, unclear directions, or ask your creative team to do too many things at once. Visual intelligence software allows the marketers directing this process to peek into the future and understand what types of visuals will resonate with their target audience even before the first shot has been taken. By knowing this beforehand, less money is wasted on content left on the cutting room floor and a more targeted and innovative creative strategy can be achieved.

Why Visual Intelligence Reduces Risk

A shift in brand creative used to happen rarely and there was a significant risk involved anytime it did. In today’s fast-moving marketing space, brands need to introduce fresh creative periodically to avoid being left behind. But each venture into the unknown means that marketers need to patiently wait to see what sticks, hoping that new content would retain their current audience while simultaneously expanding into new demographics. It’s a tall order and brands have seen varying results. The latest challenge is that trends are changing so quickly that the ability to be agile is essential. By tapping into new technologies, brands can be agile without making risky, knee-jerk moves. Before deciding on a new creative shift, invaluable research can happen in minutes from an unbiased source that knows precisely what will speak to your audience and what will be a swing and a miss. Marketers can then make bold decisions and capture attention, knowing all along that this shift would pay off. 

Dash Hudson’s AI and Automation

Dash Hudson’s Vision AI is a suite of advanced, AI-powered tools seamlessly integrated into the platform. It has been analyzing visual content trends since 2016. These tools can take care of repetitive tasks and decision-making, ultimately giving marketers more time to focus on strategy and creative. 

Vision AI’s predictive analytics tools help pinpoint exactly what type of content is going to perform and generate the highest engagement based on past performance, allowing brands to easily plan social media content in real-time with data-back recommendations at their fingertips.