Ad fraud, which includes bot traffic, click fraud, and many other fraudulent activities, is a pervasive problem that has been plaguing the advertising industry for years. Online advertising fraud resulted in the loss of more than $80 billion in ad spend in 2022 alone, and it's projected to grow to over $100 billion in 2023. However, recent advancements in artificial intelligence (AI) and machine learning (ML) have spurred the innovation of essential tools for identifying and preventing advertising fraud in all its forms. These technologies enable advertisers to detect and prevent fraudulent activities in real-time, ultimately saving them significant amounts of money and safeguarding their reputations in the process. By leveraging artificial intelligence and machine learning businesses can take control of their ad spend, ensuring that it's spent effectively and their ads are reaching real human audiences not just bots.

As we approach the "visionary" year of 2020, we took a look at what the New Year has in store for the Digital Advertising industry. Here are key things to watch out for as you plan ahead and finalize your Marketing budgets. Brands have begun to understand the power of advertising on Amazon and the unique opportunity it offers to capture people at the beginning of their purchasing journey. The Opportunity: Brands have flocked to Amazon for its revenue-generating ad capabilities. We expect this trend to continue in 2020 as Amazon refines its offering and advertiser use becomes more sophisticated.

Our Chief Product Officer Chris Francia's insights on the aspects of AI and how it drives our disruptive innovation in digital advertising…. You would be hard-pressed to find any company with roots in the digital space not mention it as part of their current or future growth plans. Yet, as with any new technology that burst onto the marketing scene, there is a fair amount of misinformation about it. For starters, AI will neither be the doom of our society nor will it magically solve all of our problems. But outside of those two umbrellas, AI can assist and improve current workflows and technologies.

The concept of self-programming computers was closer to science fiction than reality just ten years ago. Today, we feel comfortable conversing with smart personal assistant like Siri and keep wondering just how Spotify guessed what we like. It's not just the mobile apps that are becoming more "intelligent". Advertising encouraging us to interact and install those apps has made its way onto a way new quality level as well. Thanks to advances in machine learning (ML), the baseline technology for AI, mobile advertising industry is now undergoing significant transformation.

In a poll conducted by Integral Ad Science (IAS) 69.0% of agency executives said that ad fraud was the biggest hindrance to ad budget growth, compared with more than half (52.6%) of brand professionals who said the same. How much is ad fraud costing advertisers? Nobody knows, but with estimates ranging from $6.5 billion to $19 billion, there's a lot at stake. Marketers are becoming more assertive in their demands for better fraud prevention measures and they are seeking to increase their knowledge of different fraud types – from bots to unauthorised domain reselling – and wider technology adoptions to drive their Marketing strategies overall. Ad tech providers will need to adapt their technology and techniques to meet this demand.

In a poll conducted by Integral Ad Science (IAS) 69.0% of agency executives said that ad fraud was the biggest hindrance to ad budget growth, compared with more than half (52.6%) of brand professionals who said the same. How much is ad fraud costing advertisers? Nobody knows, but with estimates ranging from $6.5 billion to $19 billion, there's a lot at stake. Marketers are becoming more assertive in their demands for better fraud prevention measures and they are seeking to increase their knowledge of different fraud types – from bots to unauthorised domain reselling – and wider technology adoptions to drive their Marketing strategies overall. Ad tech providers will need to adapt their technology and techniques to meet this demand.

The year brought AI to the mainstream where numerous businesses warmed up to it, adopted it and reaped fine results. Digital Marketing, being immensely data-driven, has been among the early adopters of both AI and witnessed enormous effects. Digital Marketing is all about harnessing the power of data to produce campaigns that are customized to match the needs and interests of the consumers. Interacting with the customers at the perfect time on the perfect platform with the ideal message is essential to a campaign's success. The competitive edge for a marketer is dependent on how quickly one can assess the incoming data and recalibrate a campaign to outmaneuver the competition.

The year brought AI into the mainstream where numerous businesses warmed up to it, embraced it and reaped handsome results. Digital Marketing, being immensely data driven, has been one of the early adopters of AI and witnessed tremendous impact. Digital Marketing is all about harnessing the power of data to create campaigns that are personalized to fit the desires and interests of the customers. Interacting with the customers at the right time on the right platform with the right message is critical to a campaign's success. The competitive edge for a marketer is based on how quickly one can analyze the incoming data and recalibrate a campaign to outmaneuver the competition.

Mobile ad fraud is one of the biggest challenges the mobile marketing industry is currently facing. Fraud rates have almost doubled in the last year. A recent study by my firm showed 7.3 percent of all paid installs tracked were rejected once analyzed. Some advertisers lose up to 80 percent of their ad budgets, while the total financial impact around the globe is expected to surpass $4.9 billion dollars in 2018. Just as in other industries, a growing number of market players are touting machine learning as a miracle solution to the ad fraud epidemic, and they assert it will have a huge impact on how the industry deals with it everywhere.

An ad exchange network is combining an artificial intelligence (AI) system with blockchain technology to tackle eye-watering levels of fraud in the industry and stop consumers from being bombarded with irrelevant ads at inappropriate times. NOIZ Chain says the public, and the brands trying to reach them through advertising, have seen their patience wear thin following a slew of scandals involving digital media. While consumers have been reeling from the Cambridge Analytica scandal, that resulted in millions of Facebook users having their data sold and used without consent, advertisers have been falling victim to bots which generate fake clicks, meaning their content never reaches the intended audience. It is estimated that this form of ad fraud will see businesses lose $19 billion in 2018 – representing 9 percent of the total spending on digital advertising for the year. NOIZ is going to offer cognitive banners that aim to increase user engagement and provide advertisers with meaningful data on how their campaigns have been performing.