I found a recent news story interesting because I was just writing a piece on impending copyright issues related to GenAI for my “Let’s Get Strategic” column in Information Today.
The makers of Star Wars’ Rogue One: A Star Wars Story are being sued over the use of Peter Cushing’s image. The use of the image occurred back in 2016—long before generative AI, or GenAI, hit the scene—but I’m sure GenAI and its sudden popularity had something to do with the renewed interest. (more…)
Over the years marketers have come to rely on many different types of technology to perform a wide range of tasks, from collecting customer data to communicating with customers, from creating and distributing content to identifying and nurturing leads, tracking campaign success, and much more.
Now, with the introduction of generative artificial intelligence technologies like OpenAI’s ChatGPT, Google’s Bard, IBM’s WatsonX, and Salesforce’s Einstein GPT, the use of technology is exploding even more rapidly in the marketing realm, having a ripple effect. (more…)
A Conference Board survey, in collaboration with Ragan Communications, found that while almost 90% of marketing and communication professionals have used generative AI (GenAI) tools, their feelings about the usefulness of these tools are mixed—only about four out of ten expect GenAI to improve work quality and creativity—three in ten expect it to deteriorate outputs.
So I decided to do some further research and experimenting on my own. (more…)
While generative AI (GenAI) tools like ChatGPT, Bard, and others, may have most marketers focused on the content creation potential of artificial intelligence (AI), AI actually has many, many, other applications that marketers can leverage to boost effectiveness and cut costs.
For instance, the ability to foresee and adapt to consumer behavior can provide a formidable competitive advantage for marketers. Enter AI!
Artificial Intelligence (AI) is revolutionizing the marketing landscape, offering unparalleled opportunities for innovation, precision, and personalization. By incorporating AI technology, such as machine learning, big data, and predictive analytics, into their marketing activities, brands can deliver hyper-personalized content and interactive customer experiences.
Here we take a look at five successful AI-driven marketing campaigns and how AI can enhance your marketing strategies. (more…)
AI-driven content-generation tools are nothing new. But if the hype around the release of ChatGPT is to be believed, this new offering is something special. It is purported to have a heightened ability to create quality content for a variety of applications, including social media posts, marketing copy, business reports, customer-facing documents, and a variety of other written materials. As OpenAI, the creator of the ChatGPT model, notes on its website, (more…)
As we enter 2023, I can’t help but notice lots of commentary about what we can expect on a variety of fronts, including marketing. As I think about marketing in 2023, a few things spring to mind, maybe because I was doing a lot of reading about them during the last week or so of the year while I was enjoying some downtime. But, I see three key trends for 2023: a continued focus on local marketing, disruption from ChatGPT, and increasingly sophisticated use of data and analytics.
Marketing has always been a fast-paced industry, with the pace quickened constantly by readily available and rapidly developing technology. But the COVID-19 pandemic and its worldwide impact was, arguably, the most disruptive force that marketers have seen in a long time.
As we move beyond the pandemic, we can expect to see a continuation of some of the trends that were taking shape before COVID-19 and many more that have been fueled by COVID-19. (more…)
by Justin Grensing, Esq., MBA
Artificial intelligence (AI) is widely seen as a game changer in how our world operates, both now and especially in the future. With any revolutionary change, there are often both strong advocates and vehement detractors. Much of that polarization comes from the fact that major societal disruptions often have both winners and losers. Take globalization as an example. While an increasingly interconnected global economy with more open trade has meant cheaper prices for consumers in developed nations, it has often also meant that employees in some sectors are displaced as industries move to countries with lower costs of production. (more…)
A Harvard Business Review case study recently posed a provocative question: when should humans listen to algorithms vs. when should they trust their own experience and intuition? For this case study, the issue related to which of two employees to choose for a promotion. But, given the widespread applications for the use of big data and the power of predictive analytics, the question could be applied to any field or area of business practice—including content marketing.
When should content marketers listen to the algorithms instead of relying on their own instincts, which have been finely honed over time? (more…)
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