Generative AI is reshaping digital advertising. In fact, 99% of marketing and business leaders are using AI in some fashion, according to a 2024 survey from the Marketing AI Institute. The reasons for ...
Generative AI is transforming creative asset production, allowing brands and creators to optimize workflows, authenticity, and success.
Nativeads.ai is a next-generation creative tech company using generative AI to power dynamic advertising at scale. Built on large language and video models (LLMs, LVMs), Nativeads.ai helps brands ...
In today's fast-paced digital world, delivering value swiftly without compromising quality is essential. Generative AI (GenAI) is no longer a futuristic concept; it's a present-day catalyst ...
"Was it expensive to train the new Customer Support AI Agent?" - "Not really, we took the old scripts." Illustration: Dennis Flad for Campaign Asia-Pacific Generative AI has quickly become prominent ...
Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...
The financing follows fal's $125 million Series C announced in July 2025. At that time, the company had more than tripled its revenue since 2024 and surpassed 2+ million developers using the platform.
Generative engine optimization (GEO) has quickly become one of the most important – and debated – topics in search. Some dismiss it as little more than SEO rebranded, but the reality is that GEO ...
Companies of all types are embracing AI in distinct ways. Perhaps no other industry is moving as fast as manufacturing. Coming from the experiences of Lean Manufacturing and Six Sigma process changes, ...
Enterprise leaders are looking at how generative AI can power their next-generation customer experience, decision-making, and innovation. But generative AI is only as good as the data that powers it.
Companies are rolling out AI initiatives that will never deliver returns. Here’s why that’s a leadership problem — not a technology problem. Most AI projects fail due to poor data quality, inadequate ...
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