From Fragmented MMM to Decision AI [Video]
Watch Data Poem founder Bharath Gaddam at the ARF on moving enterprise growth from fragmented marketing mix models to causal, on-demand Decision AI. 48 minutes.
VideoEnterprise decision ai
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Large Scale Causal Foundation Models [Whitepaper]
Read the research behind POEM365. FOUNT is the world's first Large Causal Model, beating Google, Salesforce and the M5 Kaggle winner. Download the whitepaper.
White-paperCausal ai
Build vs Buy for Causal AI: The True Cost of Building In-House vs Deploying POEM365
In-house causal AI runs $11M+ over 18 months; POEM365 runs $500K–$1.5M over three years. The real build-vs-buy math, and what most teams get wrong.
ArticleCausal ai
Enterprise Planning: How Fortune 500s Are Unifying Strategy and Execution
Enterprise planning unifies strategy and execution. See how Fortune 500 leaders build one plan across finance, supply chain, and commercial.
ArticleGrowth planning
What is Causal AI? The Complete Guide for Enterprise Leaders
Causal AI explains why outcomes happen, not just what correlates. A plain-English guide to how it works, what it replaces, and where it adds value.
ArticleCausal ai
How do Enterprise CMOs Measure True Marketing ROI Across Fragmented Channels?
Most enterprise marketing ROI issues aren't a data problem, but a model architecture problem. Find out why attribution fails at scale and what replaces it.
ArticleUnified marketing
Enterprise Decision AI in Practice: How Fortune 500 Brands in CPG, Retail, and Automotive are Using It Today
What Enterprise Decision AI looks like in CPG, Retail, and Automotive — and why it differs from the AI you already have.
ArticleEnterprise decision ai
POEM365 vs MMM vs MTA: Which Measurement Approach is Right for Enterprise?
MMM measures the macro, MTA tracks the touchpoint, and both leave you with two different answers. POEM365 helps enterprises get to one causal truth.
ArticleUnified marketing
The Three-Story Building Most Companies Only Enter on the Ground Floor
Most enterprises only plan tactically. See how tactical, functional, and strategic decisions connect into one growth-planning loop inside POEM365.
ArticleGrowth planning
Three Categories. Same Unification Problem. One Category Left to Solve.
CRM unified customer data. ERP unified operations. Enterprise Decision AI is the fourth category, unifying the enterprise growth decision into one model.
ArticleEnterprise decision ai
Your Analytics Stack Reports. Enterprise Decision AI Decides.
MMM, attribution and forecasting all report what happened. None tell you what to do next. How Enterprise Decision AI prescribes where the next dollar goes.
ArticleEnterprise decision ai
Your Channel ROI Has Three Layers. Your MMM Only Reports One.
Traditional MMM reports only direct channel impact. See the three layers of channel ROI, direct, synergistic and long-term equity, that your budget misses.
ArticleUnified marketing
Pick the Right AI for the Job: LLM vs. LCM
A Large Causal Model decides; an LLM describes. Here is how they differ, where they fit, and why your AI shortlist probably only has half the picture.
ArticleCausal ai
The Fourth Layer: Three Layers That See. One That Decides.
Data, BI and predictive models tell you what happened. Enterprise Decision AI, the fourth layer, sits above the stack and decides what to do next for growth.
ArticleEnterprise decision ai
Four Agents. One Unified Causal Clarity.
Most AI agents retrieve and summarize. POEM365's four causal Decision Agents forecast, plan, optimize and explain enterprise growth. See how they work.
ArticleEnterprise decision ai
Every Function Hit Their Number. The Business Still Lost $58M.
Every function can hit its KPI while the business loses money, because no model sees the system. Learn why the overlap goes unpriced, and how to fix it.
ArticleEnterprise decision ai
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