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BuilderPaid · Instructor-led

Machine Learning & Forecasting for Business

Build forecasting and classical-ML models that planners trust — and know when an LLM is the wrong answer.

2 days (16 hours)8 modulesAnalytics leaders, BI managers, demand and supply-chain planners, finance modellers, revenue-ops leads and data-science generalists who own forecasts and decisions that get made on numbers — not on chat. Equally valuable for engineering managers and architects who keep being asked "can't we just use an LLM for this?" and need a defensible answer.Track: Builder
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How Gennoor supports this practice

AI Enablement for Machine Learning & Forecasting for Business

Gennoor Tech AI Enablement helps analytics-and-finance teams build forecasts and tabular ML models that actually get used in planning meetings. We bring the Azure ML reference architecture, classical-and-foundation-model time-series patterns and the evaluation discipline that earns sign-off from finance and operations. Our delivery is hands-on against your data, with an MLOps tier matched to your real scale.

Phase 1

Diagnose

Audit your current forecasts and decision processes; classify use cases against the ML / LLM / statistics filter; baseline accuracy of the existing process (often Excel).

Phase 2

Train

Run this 2-day course for analytics, planning and engineering, then certify a lead modeller and an MLOps owner on the Azure ML workflow.

Phase 3

Innovate

Build baseline + classical-ML + foundation-model time-series candidates against your real data; pick the winner on WAPE, latency, cost and explainability.

Phase 4

Build

Productionise the chosen model on Azure ML with the right MLOps tier (batch endpoint, online endpoint, scheduled pipeline), drift monitoring and a rollback runbook.

Phase 5

Sustain

Stand up the monthly model-health review, retraining cadence and human-in-the-loop override; coach the planning team through the first three drift incidents.

Book a call about Machine Learning & Forecasting for Business

30-minute working session with our team. Bring your current state, your constraints and the outcome you need — we'll come back with the right phase to start and a realistic delivery shape.