The letter, titled "Pause giant AI experiments" and published on March 22 by the Future of Life Institute, a nonprofit organization concerned with mitigating existential risks facing humanity – and especially such risks associated with AI – makes the case that AI research is outpacing our ability to implement protective guardrails. Leading AI companies have become engaged in a dangerous arms race, the authors of the open letter argue, inexorably leading the world to "ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control." The letter urges caution, as opposed to a careless march into a potentially dangerous future: "powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable," the authors write. The letter also entreats "all AI labs to immediately pause for at least six months the training of AI systems more powerful than GPT-4." As of Monday morning, the letter has received more than 3,100 signatures.

Artificial intelligence (AI) has started transforming every aspect of our professional and personal lives. The marketing industry is not immune to this digital transformation, with leading brands starting to embrace the opportunities the technology brings. Gaining a better understanding of customer behavior is one of the core benefits of AI in marketing. For years, marketers have gathered and analyzed data about customer behavior. Their goal has remained largely unchanged -- extrapolate patterns and predict which products and services will be most popular with a certain audience.

Marketing and technology have been great friends for the better part of the last 15 years. It seems it will be more critical in the coming years. Artificial Intelligence (AI), data privacy, and big data are not crucial to the customer experience. A recent study by the University of Florida College of Journalism and Communications scholars found that consumers' understanding of AI in marketing is intuitive but scattered. Consumers struggle to clarify the differences between AI and related terms like machine learning, deep learning, natural language processing, and robotics.

The content marketing industry is witnessing a paradigm shift. The search for the keyword "AI copywriting" is trending upward globally. On Google Trends, between December 2021 and now (August 2022), the search term has maintained an upward trend. Also trending alongside it are more specific keywords, such as Jasper AI (an AI copywriting tool), best AI copywriting tools, and free copywriting generator. According to Ubersuggest, a keyword research tool, it is estimated that the word AI writing is searched 4,400 times each month in the United States alone.

In 2022, the marketing industry is being compelled to develop a new way of thinking: one which recognises and respects consumer concerns around data privacy and the global environment. Earlier this summer, Remi Lémonnier, Co-Founder and President of Scibids coined a new term, 'Virtuous Advertising', to describe the future that marketers should be moving towards. And why does Artificial Intelligence (AI) play a big role in making Virtuous Advertising the new norm? Virtuous Advertising acknowledges that marketing organisations are under increasing pressure due to the heightened economic, environmental and regulatory pressures surrounding digital marketing. At the heart of the concept of Virtuous Advertising is respecting resources, i.e. being efficient so that we only use resources that we absolutely need.

Digital marketing is constantly changing. The next five years will be more than just change -- they will be a complete transformation of how brands operate and what they stand for. The iOS14 update changed how data is used in marketing, but its impact is far from over. Advertisers are using omnichannel reporting to look at the bigger picture rather than results from a single channel. It also means first-party data will continue to rise in value and popularity as it allows brands to communicate directly with their audience without limitations.

In October 2017, Facebook altered the Instagram API to make it harder for users to search its giant database of photos. The change was a small element of the company's response to the Cambridge Analytica scandal, but it was a significant problem for parts of the Digital marketing industry. Not long before, New York-based influencer marketing agency Amra & Elma had developed a platform that ingested data from Instagram, and allowed its client to use AI image classifiers to find very specific influencers. For instance, they could find an influencer with, say, between 10,000 and 50,000 followers who had posted photos of themselves in a Jeep. Facebook's move killed this capability in a keystroke. Another day in the digital duel between the AIs deployed by digital marketers, and those deployed by the social media platforms.

CEO of Demand Science, a buyer intelligence platform that accelerates demand gen for the world's largest software, tech & B2B companies. The rhetoric surrounding artificial intelligence (AI) as the panacea for solving business problems has created some skepticism among marketers. It can also be overwhelming. AI might seem like a cure-all for the issues with your data or marketing and sales analytics. In reality, the technology is none of these things, and AI applications can be classified into several categories, depending on the purpose.

The Interactive Advertising Bureau (IAB), the national trade association for the digital media and marketing industries, is focusing its AI Standards Working Group to develop artificial intelligence (AI) standards, best practices, use cases, and terminologies in an effort to scale AI and enable the industry on its full potential. The group is newly co-chaired by IBM Watson Advertising and Nielsen. The first release of 2021, "Artificial Intelligence Use Cases and Best Practices for Marketing," will help executive leaders, marketers, and technologists get the most from AI, and do it responsibly. Created for those already working with AI or looking to leverage it in their business, this guide draws directly from the real-world experience of co-chairs IBM Watson Advertising and Nielsen as well as top publishers, agencies, and ad tech companies in the industry. It's not an ivory tower overview of AI: it's a specific guide for what to do for executives that are in the thick of it.

With AI & ML churning the Martech charts and AI in Marketing taking the branding and programmatic advertising berzerk, what more is in store for the future? We are in the middle of the digital era and moving towards the age of Artificial Intelligence (AI) Technology. While most of us might associate AI with robotics, this technological innovation is utilized in various aspects of life. It is integrated into various business processes including, research and development (R&D), Sales, Marketing, and finance. According to Forbes, the adoption of AI and machine learning (ML) in research and development was the fastest of all enterprise departments in 2019.