Generative AI has the potential to completely transform how media and advertising industries work. But it will remain on both industries’ margins if it fails to overcome skepticism and even hostility from consumers, publishers, and advertisers.

What is truly promising with generative AI, and when should content marketers stay human? Here’s how content marketers might use ChatGPT and other AI tools and where they should invest time and resources.

Brands are scrambling to incorporate generative AI into their strategy to stay ahead of the curve. But according to our analysts, AI’s current uses are just the tip of the iceberg. We dig into some recent AI innovations (including Snapchat’s AI chatbot and GPT-4) and predictions for the tech’s evolution.

Bing's new features take aim at Google: Microsoft is betting that ChatGPT-powered Bing Chat Answers and an image generation feature could keep recent search converts in the fold.

The South by Southwest festival returned to Austin, Texas, in full force this year, with discussions on the future of technology, brands, and marketing. Here, we lay out the top trends and takeaways.

Generative AI’s poetic hallucinations might clash with data science rigor: The tech industry’s growing catalog of generative AI app integration raises questions about performance and adoption best practices.

Its valuation took another big dip, but the raise could encourage other cash-hungry fintechs. Stripe’s OpenAI tie-in can open doors for both firms.

Generative AI is a powerful brainstorming and content refinement tool for both marketers and creators. It will streamline the content creation process, but marketers need to be aware of its limitations.

GPT-4 unmasked as Bing’s bot: OpenAI released another generative AI model. We can expect it to light a fire under Google’s Bard efforts as the AI race gains momentum.

Generative AI gains momentum across multiple industries: Generative AI, including ChatGPT, has led to a boom as companies and startups alike race to integrate it into their products and businesses find new applications.

Generative AI has ample applications within financial services over a three-year horizon, with payments the most promising sector because of its breadth of potential use cases.

Banks recognize the benefits and risks of AI. Planning for regulation, investing now, and educating staff are all key to embracing the tech.

ChatGPT and generative AI have taken the business world by storm. But how valid is the buzz around the technology? And how should insurance leaders act on the opportunity in 2023?

Microsoft’s new AI “Copilot” lands for marketers: Tool promises to help discover consumer categories and automate processes.

Generative AI is a content moderation threat multiplier: Apple and Blix face off over AI-generated content restrictions for the App Store. We can expect controversy to escalate as legal liability looms.

The technology has promising use cases across the banking sector. We highlight where and what banks should do to prepare.

OpenAI wants to build an AI that can outsmart us: The startup’s latest manifesto shows that the technology is on a breakneck trajectory toward either an economic revolution or catastrophe.

B2B marketing leaders have lost their focus on the benefits of email marketing. Email is a key distribution channel, and investments will allow relevant messages with high engagement rates and ROI to be delivered efficiently and effectively.

Generative AI could revolutionize various verticals within banking. Here's our take on the top four areas where the technology could have the greatest impact.

ChatGPT is the talk of 2023. In the banking industry, generative AI technology has promising use cases in marketing and customer service, and it has the potential to make machine learning applications more accurate and efficient.