IA generativa
Why 95% of companies fail with Generative AI: MIT NANDA Analysis 2025
MIT NANDA 2025 report reveals that 95% of companies fail to implement Generative AI. Analysis of $30-40B invested: why external partnerships achieve 66% success vs. 33% internal developments, where the real ROI is and how to cross the gap in 90 days.
Pragmatic inference: the ingredient that makes a bot a good conversationalist
What makes a bot a good conversationalist? Pragmatic inference. Learn why it is key in generative AI, conversational design and how we apply this logic in Aigents Manager, our intelligent agent solution.
Preparing businesses for AI: strategic keys to digital success
Artificial intelligence (AI) is much more than an emerging technology; it has become a critical tool for businesses looking to lead in an increasingly digitised environment. From optimising processes to creating new business opportunities, AI promises to transform entire industries.
Benchmarking: Azure vs. OpenAI. Discover the advantages and business applications of each service
Azure OpenAI and OpenAI are two leading services in the field of generative AI and deep learning; In this article, we compare the advantages and applications of each to help you choose the best option for your business;
How the IoT can power generative artificial intelligence
IoT and generative AI are two technologies that are revolutionising the business world; The combination of the two can help companies improve their productivity, efficiency and decision-making;
