COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...
Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...
Studies show that marketers are cautiously investing in generative AI (GenAI) to enhance their marketing technology (martech) stacks. However, a gap between investment and understanding continues to ...
Generative AI as a Strategic Enabler for Global Start-Ups Entering Southeast Asian Markets: Capabilities, Illustrative Cases, ...
In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...
In 2026, the world’s trust landscape will be more fragmented than ever. Consumers and businesses alike are learning to operate in a permanent state of skepticism, where trust is earned through action, ...
2026 will be the year for pharma marketers to move from AI experimentation to holistic integration. Pharma has been slower to adapt fully AI-generated commercials, with many marketers emphasizing the ...
An examination of ethical and legal issues relating to the development and use of generative AI (GenAI), focusing on privacy and data security, intellectual property (IP), and commercial transactions.
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