Artificial Intelligence is still relatively new to most people, but it has been around almost as long as computers and the internet itself. In the future, we will have completely computerized artificial intelligence, where a computer system will be able to predict and execute actions based on pre-programmed algorithms. This will revolutionize the video advertising industry like few other things in history. We belong to a world where almost everything we do is running on some sort of computer. It doesn't matter if it's a car or a house, you will find that most of your activities are being run by some program. And in all likelihood, computers will continue to run most of your business activities as well.

How has Video Advertising changed over the years? The evolution of advertising has seen some remarkable changes over the years. Not only this, but it changed up to the limit where it has adapted to new mediums and audience constantly. It has become more significant and personalized throughout history. If anything that had the biggest impact on the journey of video advertising and ad personalization is the INTERNET and its ability to collect billions of data points on the user.

Imagine you're a video editor in 2019. You're handed a script and given thousands of shots to craft a 10-second pre-roll ad, promoted on social media to viewers with specific interests and viewing habits, living across North America and Europe. You crack your knuckles and get to work: You sift through hours of footage, you slice the whole thing together, you bundle it up and send it out. The client approves it the next day, uploads it onto various social channels and suddenly millions of people are watching it across the western hemisphere, responding in different ways. A data team nods along at the analytics streaming in, deliberating whether it's worthwhile to reshoot and recut another video to minimize moments where the viewing masses drop off, optimizing those sacred few seconds your audience is actually watching.

With predictions that video will account for 80% of all internet traffic by 2019, it is not surprising that marketers are moving away from traditional display ads and investing in a stronger video offering that offers much more engaging and captivating experiences for brands. But how can marketers ensure such investment is directed in a way that enables them to prepare to profit from this growth? In such a crowded market, content developers will have to work hard to stand out from the crowd, delivering engaging and creative content as audiences' expectations become even more sophisticated. Audience apathy is an ongoing concern, with Havas' '2017 Meaningful Brands' study showing that 60% of consumers see content created by brands as clutter that has little impact on their lives. This means that the industry needs to adapt to understand the importance of optimizing ad placements and maximizing the relevancy of the message to the viewer.

Search advertising is the placement of ads in search engine results. Businesses pay to place these ads at the top of search results. The price paid depends on several factors, such as search term popularity, competition and website quality. Taking a scroll through Google AdWords' lessons and picking up a certificate is a great way to start yourself off with paid search. But it doesn't give you everything you need to know.

Technology is always evolving, and marketers must evolve with it in order to ensure brand success. While there are many factors that affect marketers on a day-to-day basis such as social media, budgeting and reaching audiences on an emotional level, here are six of the top technologies are impacting marketing the most. Gartner analysts predict that by 2020, 30 percent of web browsing sessions will be conducted without a screen. With the rise of voice-activated technology like Google Home and Amazon Echo, consumers will not be limited to traditional screen-based browsing, Gartner predicts, especially since web browsing will be extended to other areas of daily activities such as driving and exercising. Artificial intelligence (AI) means more than another way to shop--it can help marketers make smart decisions.

Machine learning is, as simple search for news can prove, a hot topic in the tech industry. Its varied applications make machine learning truly unique: from the existing ones, such as disease prediction or loan assessment, to future applications, like generating videos from photos or identifying pixelated faces, the list is virtually endless. Another important application of machine learning has to do with Internet security. More specifically, an issue that affects the mobile advertising industry: fraud. The rise in fraud is one of the greatest challenges currently that mobile video advertising has to face these days, as bots and other sources can have a negative impact on the advertisement's effectiveness.

The companies have integrated the automation technology into Watchwith's data-driven advanced advertising products. "What used to potentially require thousands of man-hours is now an automated process within the Watchwith platform," Watchwith says in a statement. By embedding artificial intelligence into the video advertising inventory creation process, Watchwith MAF gives TV networks and premium video publishers the power to create, manage and sell contextually relevant native video advertising at scale. "And the result is the highly scalable, native digital video advertising solution the TV industry needs to compete with Facebook, YouTube, Snapchat and other native digital video distribution platforms."