How Artificial Intelligence is Changing Ad Servers in Broadcasting
Display ad servers (DAS) are a critical part of the broadcasting industry. They are responsible for delivering ads to viewers in a timely and relevant manner. In recent years, AI has been increasingly used to improve the performance of DAS.
What is a Display ad server?
A display ad server is a software application that delivers ads to viewers based on a variety of factors, such as the type of content being streamed, the viewer’s location, and the viewer’s viewing history. DAS are used by broadcasters, streaming platforms, and other content providers to deliver ads that are relevant to their viewers.
How does AI improve display ad serving?
AI can be used to improve ad serving in a number of ways. For example, AI can be used to:
- Personalize ads: AI can be used to analyze viewer data to determine which ads are most likely to be relevant to them. This means that broadcasters can show ads that are more likely to be seen by viewers who are interested in them.
- Reduce ad fraud: AI can be used to identify and prevent ad fraud. This is a major problem in the advertising industry, and AI can help to protect broadcasters from losing money to fraudsters.
- Optimize ad delivery: AI can be used to optimize ad delivery. This means that broadcasters can ensure that ads are delivered in a timely and efficient manner.
How is AI being used in ad servers today?
There are a number of companies that are using AI to improve display ad serving. For example:
- SpotX: SpotX is a company that uses AI to deliver personalized ads to viewers. SpotX’s platform analyzes viewer data to determine which ads are most likely to be relevant to them. This data includes things like the viewer’s demographics, interests, and viewing history.
- TVision: TVision is a company that uses AI to measure the effectiveness of TV ads. TVision’s platform tracks viewers’ eye movements and facial expressions to determine how they are responding to ads. This data can be used to measure the impact of ads on brand awareness, purchase intent, and other metrics.
- IBM Watson: IBM Watson is a suite of AI tools that can be used for a variety of purposes, including advertising. IBM Watson can be used to analyze viewer data, create personalized ads, and measure the effectiveness of ads.
These are just a few examples of how AI is being used in display ad servers today. As AI technology continues to develop, we can expect to see even more innovative ways to use AI to improve the effectiveness and efficiency of DAS.
What is the future of AI in ad servers?
The future of AI in display ad servers is very promising. As AI technology continues to develop, we can expect to see even more innovative ways to use AI to improve the effectiveness and efficiency of DAS.
Here are some specific trends to watch for:
- More personalized advertising: AI will be used to create even more personalized advertising experiences for viewers. This could include things like showing ads that are tailored to the viewer’s current mood or location.
- Automated ad buying: AI will be used to automate ad buying decisions. This could free up human resources to focus on more creative and strategic tasks.
- Real-time ad targeting: AI will be used to target ads in real time. This means that ads could be tailored to the viewer’s interests and viewing behavior in the moment.
Overall, the future of AI in ad servers is very bright. As AI technology continues to develop, we can expect to see even more innovative ways to use AI to improve the effectiveness and efficiency of DAS.
How can broadcasters benefit from using AI in ad servers?
Broadcasters can benefit from using AI in ad servers in a number of ways, including:
- Increased ad revenue: AI can help broadcasters to deliver more relevant ads to viewers, which can lead to increased ad revenue.
- Improved viewer experience: AI can help broadcasters to create a more personalized viewing experience for viewers, which can lead to increased viewer satisfaction.
- Reduced costs: AI can help broadcasters to automate tasks that were once done manually, which can lead to reduced costs.
Overall, AI can be a valuable tool for broadcasters that want to improve the effectiveness and efficiency of their advertising. By using AI, broadcasters can deliver more relevant ads to viewers, create a more personalized viewing experience, and reduce costs.
PlayBox Technology is well-positioned to benefit from the growth of AI in ad serving. Their products and services already include features that allow broadcasters to use AI to improve the effectiveness and efficiency of their advertising. For example, PlayBox Technology’s AVOD and FAST solution uses AI to personalize ads for viewers.
As AI technology continues to develop, PlayBox Technology is likely to continue to invest in AI-powered features and services. This will allow them to offer broadcasters even more innovative ways to use AI to improve their advertising. By using AI, PlayBox Technology can improve the effectiveness and efficiency of their ad serving capabilities, which could lead to increased revenue and a better viewer experience.