Tag: AI

Deep research is iterative, not transactional. AI must preserve context, reasoning and evidence across long-running investigations to be useful in R&D. Trust is the gating factor. When outputs can’t be traced, reviewed or defended, AI stalls at the pilot stage and never reaches production. Production-ready AI compounds research value. Deep research systems that are governed, explainable and reusable turn isolated insights into institutional advantage.

NotebookLM represents a promising shift in how courseware developers approach content creation—moving from manual drafting to strategic curation and refinement. Learn more.

Marketing analytics is undergoing a fundamental shift as AI moves us from reactive reporting to predictive intelligence. Learn how modern AI tools are revolutionizing campaign optimization and customer engagement.

AI offers innovative solutions to scale content creation without sacrificing quality. See what technologies can help you meet growing marketing content demands.

At Progress, we debunk the myth that AI success requires millions by leveraging our semantically enhanced RAG model to deliver high-quality, cost-effective results using trusted data sources.