Discover how predictive analytics is reshaping business strategy across industries.

In this Cybit webinar, Rob Hankin (Chief Technology Officer) explores how organisations can move beyond dashboards and reports to harness machine learning, forecasting, and real-time decision-making for true competitive advantage.

From demand forecasting and churn prevention to fraud detection and financial risk modelling, Rob breaks down how predictive analytics delivers measurable results — and why mid-market businesses are best positioned to lead the next wave of AI-driven transformation.

What you’ll learn

What predictive analytics really is — and how it differs from generative AI

The analytics maturity journey: descriptive → diagnostic → predictive → prescriptive

How to shift from lagging reports to real-time foresight

The truth about AI hype and how to build practical, business-first models

Why mid-market organisations can adopt AI faster than enterprises

Case studies from education, retail, and the public sector:

Student churn prediction: identifying at-risk learners with Azure Machine Learning

Retail demand forecasting: improving stock accuracy and reducing waste with Microsoft Fabric

Financial risk prediction: government use of predictive AI to detect fraud and protect taxpayer funds

Common reasons AI and analytics projects fail — and how to avoid them

The role of governance, ethics, and data security in predictive AI

How Microsoft Fabric and Azure Machine Learning simplify adoption

Building a crawl → walk → run roadmap for analytics and AI success

Key takeaways

Predictive analytics is no longer futuristic — it’s accessible to every business using Microsoft 365.

Mid-market organisations can move faster, cheaper, and with greater agility than large enterprises.

Successful projects start small, align with KPIs, and scale once proven.

Tools like Azure Machine Learning and Microsoft Fabric make AI adoption achievable without deep code knowledge.

Success depends on strategy before tooling, governance before scale, and measurable ROI from every initiative.