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Ways to Upgrade Your Digital Marketing Efforts in 2021


These days, the task of marketing your business must include a huge digital component as the world increasingly transitions to online from real interactions. For most modern businesses, budgets demonstrate the transition to digital. For instance, digital ad spending increased by 12% in 2020, despite the pandemic. No business can afford to ignore the digital landscape and e-commerce these days. So if you're looking for ways to upgrade your digital marketing for 2021 to take advantage of recent changes, you're in the right place.

No bots need apply: Microtargeting employment ads in the age of AI


Keith E. Sonderling is a commissioner for the U.S. Equal Employment Opportunity Commission. Views are the author's own. It's no secret that online advertising is big business. In 2019, digital ad spending in the United States surpassed traditional ad spending for the first time, and by 2023, digital ad spending will all but eclipse it. It's easy to understand why. Digital marketing is now the most effective way for advertisers to reach an enormous segment of the population -- and social media platforms have capitalized on this to the tune of billions of dollars.

Artificial Intelligence And Its Use In Marketing


There is no doubt that today we have embarked on the path of technologies that will perform many tasks the accomplishment of which, for now, requires the human brain. Companies like Google, Facebook, Amazon, Apple, Microsoft, and Adobe are investing heavily in technologies that automate and anticipate business and domestic activities. At the head of the list of the most important users of artificial intelligence, we find unsurprisingly social networks, search engines, and SaaS. Far beyond targeted advertising, technology has enabled structures of all sizes to expand their customer base on an international scale. Changes in purchasing behavior and the multitude of contact channels have exploded the volume of data available to brands.

Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph Machine Learning

Websites use third-party ads and tracking services to deliver targeted ads and collect information about users that visit them. These services put users' privacy at risk, and that is why users' demand for blocking these services is growing. Most of the blocking solutions rely on crowd-sourced filter lists manually maintained by a large community of users. In this work, we seek to simplify the update of these filter lists by combining different websites through a large-scale graph connecting all resource requests made over a large set of sites. The features of this graph are extracted and used to train a machine learning algorithm with the aim of detecting ads and tracking resources. As our approach combines different information sources, it is more robust toward evasion techniques that use obfuscation or changing the usage patterns. We evaluate our work over the Alexa top-10K websites and find its accuracy to be 96.1% biased and 90.9% unbiased with high precision and recall. It can also block new ads and tracking services, which would necessitate being blocked by further crowd-sourced existing filter lists. Moreover, the approach followed in this paper sheds light on the ecosystem of third-party tracking and advertising.

How AI is Transforming Online Marketing


"Artificial intelligence (AI) is extensive branch of computer science involved in building intelligent machines capable of performing jobs which typically require human intellect. AI is a interdisciplinary science with multiple strategies, but improvements in machine learning and profound learning are developing a paradigm shift in almost every sector of the technology sector." AI is swiftly working its way into many facets of our everyday lives. With more and more companies using AI, it isn't an exaggeration to say AI might bring the next industrial revolution. It has already started making large strides in areas such as customer service, but what can it do for online advertising?

10 Applications of Artificial Intelligence in Digital Marketing


Artificial Intelligence has marked its presence in almost every industry and walks of life. It has not only been reducing the human interventions in various operations but also helping humans to do their job better. Fields like Social Media, Consumer Electronics, Robotics, Travel and Transportation, Finance, Healthcare, Security, Surveillance, E-commerce, etc. are already benefiting from AI. Digital Marketing and AI go hand-in-hand. In digital marketing, there is a massive requirement to process tons of data. Artificial Intelligence helps digital marketers to process data faster, which allows them to create digital strategies more efficiently.

Biggest influencers in future cities in Q4 2020: The top individuals to follow


GlobalData research has found the top influencers in future cities based on their performance online and on social media.Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people and companies in digital construction on Twitter during Q4 2020. Ronald Van Loon is a principal analyst and CEO of the Intelligent World, an influencer network connecting businesses and experts with new tech, artificial intelligence (AI), analytics, and data enthusiasts. He is a recognised thought leader in technologies such as AI, the internet of things (IoT), machine learning, and 5G, among others. Loon is an advisory board member at Simplilearn, an education management company and has also served as director of Advertisement, an information technology and services company. Glen Gilmore is the founding faculty for digital marketing programmes at the Rutgers University School of Business.

Facebook's self-supervised AI offers potential benefits--if it can overcome bias concerns


The news: Facebook revealed a self-supervised artificial intelligence model it claims can accurately learn to categorize Instagram images with less human assistance than before. Here's how it works: Researchers at Facebook fed the AI, called SEER, over 1 billion unlabeled images extracted from public IG accounts. Using self-supervised learning--a method where a machine learns to train itself without human data labeling--SEER achieved a classification accuracy score of 84.2%, outperforming "the most advanced, state-of-the-art self-supervised systems," per Facebook. What's next?: While SEER is still in its early stages, Facebook believes it can bring about real-world benefits. Here are some of SEER's possible use cases: The bigger picture: Ever-increasing data sharing by users will likely lead to rapid AI advancement.

7 Impressive Ways AI is Shaping Modern Marketing - NEWSCABAL


AI is streamlining businesses processes in several industry verticals. Marketing is one of them where AI has made deep inroads. Let's find how AI is shaping the future of marketing with martech technical services. One of the most significant benefits of AI is its ability to transform marketing with highly personalised messages. These messages comprise detailed knowledge about customer behaviours, allowing you to anticipate the desires and requirements of your target audience.

A Survey on Data Pricing: from Economics to Data Science Artificial Intelligence

How can we assess the value of data objectively, systematically and quantitatively? Pricing data, or information goods in general, has been studied and practiced in dispersed areas and principles, such as economics, marketing, electronic commerce, data management, data mining and machine learning. In this article, we present a unified, interdisciplinary and comprehensive overview of this important direction. We examine various motivations behind data pricing, understand the economics of data pricing and review the development and evolution of pricing models according to a series of fundamental principles. We discuss both digital products and data products. We also consider a series of challenges and directions for future work.