This report explores how Generative AI, particularly autonomous AI systems or "AI agents", is transforming procurement for manufacturers and distributors by automating routine tasks and creating strategic value.
Engineering leaders are investing billions in R&D, yet release velocity continues to lag. This whitepaper argues that the real constraint isn’t code generation, but debugging and code comprehension.
B2B organisations face significant challenges. Traditional strategies are no longer effective, with 63% of CMOs reporting tighter budgets and 46% required to drive growth.
Many enterprises struggle to achieve ROI from surface-level, customer-facing Generative AI. Greater value comes from integrating AI as a foundational layer within core systems
Discover how Snowflake’s ZeroOps Data Engineering empowers teams to automate pipelines, leverage generative AI, and deliver faster, higher-quality data outcomes — without the burden of infrastructure management.
As AI adoption grows, organisations need clear accountability to avoid delays and ensure effective oversight. An AI committee provides structure, enabling faster, more confident decisions.
Technology alone won’t make the difference in the age of AI; people will. And that puts HR and learning leaders squarely at the centre of the AI revolution.
This report leverages proprietary Menlo Security telemetry to analyse current generative AI (gen AI) adoption and the resulting security risks within enterprises.
When intelligent systems seamlessly enhance every touchpoint customers have with a brand – that’s the power of AI agents to revolutionise customer experience.
This report follows the evolution of the martech ecosystem, where AI is now embedded in everything, data privacy is once again being redefined and data gravity continues to reshape how modern marketing is built on Snowflake’s unified foundation.