High-tech AI is moving from isolated pilots to enterprise scale. Explore new findings from MathCo and HFS Research on what is accelerating adoption and where bottlenecks remain.
Topic: Generative AI and Innovation
The Agentic Enterprise: Own vs Rent vs Compose
AI success depends on the right architectural decisions, not just the right models. This white paper introduces a practical framework for designing future-ready, agentic AI systems across retail, manufacturing, pharma, and CPG. Learn how to strategically navigate ownership across the entire AI stack, minimize vendor lock-in, and turn proprietary workflows and context into compounding business value.
Why AI Success in CPG Depends More on Operating Model Transformation Than Technology
CPG AI transformation succeeds through AI change management, not just technology. This article explores why organizational readiness—talent, workflow redesign, and a scalable AI operating model—matters more than platform choice. Learn how CPG leaders can close the gap between AI ambition and enterprise AI adoption by redesigning processes, governance, and everyday decision-making.
The Human-Machine Architecture and Why the Ends Must Stay Human
AI does not replace the entire problem-solving process, it transforms it. Explore the human-machine architecture that keeps people responsible for noticing, framing, judging, and owning decisions while large language models handle decomposition, execution, and routine analysis. Learn why scalable enterprise AI depends on preserving human judgment at both ends of the workflow.
Beyond Chatbots: What Enterprise AI in Pharma Actually Needs
Enterprise AI in pharma is moving beyond chatbots and copilots toward systems that understand business context, enabling more accurate recommendations, compliant decision-making, and workflow-aware intelligence. Discover how a robust context layer can transform AI from an information retrieval tool into an enterprise capability that delivers smarter, more impactful business decisions.
Context Engineering: The Foundation for Agentic AI
Context engineering gives AI agents the business context they need to make accurate, reliable, and aligned decisions. Discover why it is emerging as a foundational capability for governance, trust, and enterprise-scale AI adoption.
Fund the Context Layer and Close the 2.5x AI Ambition Gap
AI transformation requires more than models, it requires enterprise context. Our latest report, developed in collaboration with HFS Research, reveals why AI initiatives stall and how organizations can scale AI to drive smarter decisions and measurable business impact.
Engineering for AI: MathCo Playbook for Building Data Infrastructure That Scales
Explore the data foundation required for enterprise AI success. Learn how governance, context, and AI-native platforms enable scalable AI.
Why Conversational AI Fails Without Context Engineering
Explore how enterprises can overcome conversational AI failures by applying context engineering to embed business context, metrics, and logic into conversational analytics and AI systems.
Reimagining Customer Intelligence: The Role of Identity Resolution in AI-Driven C360
Discover how Always-On Marketing Mix Modeling is transforming CPG marketing with continuous measurement, real-time optimization, unified retail media analytics, and AI-powered decision-making. This white paper explores how modern enterprises are using marketing mix modeling to improve ROI, accelerate budget decisions, and drive sustainable growth in an increasingly dynamic and data-driven marketing landscape.