Intelligent Enterprise: Turning Data into Decisions Virtual Summit

Virtual Summit

Intelligent Enterprise: Turning Data into Decisions

From Data & Analytics to Intelligent Decision-Making

Event Overview

Why This Event Matters

Enterprises are generating more data than ever, but having more data does not automatically lead to better decisions. As organisations move toward AI-driven operations, the focus is shifting from collecting and analysing data to making data trusted, contextual, accessible, and actionable. AI-ready data, real-time intelligence, semantic context, and stronger governance are becoming increasingly important foundations for enterprise AI and decision-making. The Intelligent Enterprise: Turning Data into Decisions Virtual Summit brings together data, analytics, technology, AI, and business leaders to explore how organisations can turn fragmented information into intelligent insights and faster, more confident decisions.

The conversation will move beyond dashboards and traditional reporting to explore how enterprises can:

Build trusted and AI-ready data foundations
Connect fragmented data across the organisation
Turn real-time data into actionable intelligence
Embed AI and analytics directly into business decisions
Use predictive and prescriptive analytics to anticipate outcomes
Enable business teams to access insights through natural language
Establish governance and trust across AI-driven decisions
Create a data culture where intelligence reaches every level of the enterprise
Prepare data platforms and operating models for agentic AI

You will take away: practical strategies, emerging use cases, expert perspectives, and actionable ideas for building an enterprise where data does more than inform decisions — it helps drive them.

Industry Insights

Hear from senior data, analytics, technology, AI, and business leaders about how organisations are evolving their data strategies for an AI-driven enterprise.

Interactive Discussions

Take part in expert panels, live discussions, and audience Q&A focused on the challenges enterprises face when moving from data to action.

Why Attend

Practical Use Cases

Explore real-world applications of AI, analytics, automation, and decision intelligence across business functions.

Actionable Takeaways

Discover practical approaches for improving data quality, breaking down silos, strengthening governance, and embedding intelligence into everyday decision-making.

What to Expect

Industry Insights

Hear from senior data, analytics, technology, AI, and business leaders about how organisations are evolving their data strategies for an AI-driven enterprise.

Practical Use Cases

Explore real-world applications of AI, analytics, automation, and decision intelligence across business functions.

Interactive Discussions

Take part in expert panels, live discussions, and audience Q&A focused on the challenges enterprises face when moving from data to action.

Actionable Takeaways

Discover practical approaches for improving data quality, breaking down silos, strengthening governance, and embedding intelligence into everyday decision-making.

Why Attend

Key themes

AI-Ready Data

Building the quality, context, accessibility, and governance required for enterprise AI.

Decision Intelligence

Moving from reporting what happened to understanding what is likely to happen and what action should be taken.

Real-Time Enterprise

Using real-time data and analytics to reduce the gap between business events, insights, and decisions.

Data & Analytics Modernisation

Modernising data platforms, architecture, pipelines, and operating models to support AI at scale.

Semantic Intelligence

Creating shared business meaning across data so people, analytics systems, and AI can work from consistent definitions.

Generative & Conversational Analytics

Making enterprise data easier to access through natural-language interfaces, AI copilots, and conversational analytics.

Predictive & Prescriptive Analytics

Using data and AI not only to forecast outcomes but to identify potential actions and optimise decisions.

AI & Data Governance

Building trusted frameworks for data quality, privacy, security, responsible AI, and automated decision-making.

Agentic Data & AI

Exploring how AI agents can increasingly manage data workflows, identify patterns, generate insights, and support or execute business processes.

Key Discussion topics

From Data-Rich to Intelligence-Driven

Why are organisations still struggling to turn large volumes of enterprise data into timely business decisions, and what needs to change?

Building the AI-Ready Enterprise

What does it really take to prepare enterprise data for generative AI, agentic AI, and intelligent automation?

Breaking Down Data Silos

How can organisations connect data across departments, platforms, applications, and business units to create a more unified view of the enterprise?

From Dashboards to Decision Intelligence

How is AI changing the role of traditional BI, and what does the next generation of analytics look like?

Real-Time Data, Real-Time Decisions

Which business decisions require real-time intelligence, and how can organisations build the infrastructure to support them?

The Rise of Conversational Analytics

Can natural-language interfaces make analytics accessible beyond data and technology teams? What does this mean for the future of self-service BI?

Making Data Meaningful to AI

Why does context and semantic understanding matter as enterprises deploy increasingly sophisticated AI systems?

Predictive Intelligence in the Enterprise

How can organisations use predictive analytics to identify risks, opportunities, customer behaviour, operational issues, and market changes before they become obvious?

From Insight to Action

How can enterprises close the gap between identifying an insight and actually acting on it?

Governing AI-Driven Decisions

How should organisations manage accountability, explainability, privacy, security, and risk when AI becomes part of important business decisions?

Data Quality at Enterprise Scale

How can organisations improve the accuracy, consistency, lineage, and reliability of the data powering analytics and AI?

Preparing for Agentic AI

What happens when AI agents begin interacting with enterprise data, systems, and workflows? How should organisations prepare their architecture and governance?

Measuring the Business Value of Data & AI

How should leaders measure whether investments in data, analytics, and AI are actually improving revenue, efficiency, risk management, customer experience, or decision speed?

The Future Operating Model for AI-Enabled Banks

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Industries

Who Should Attend

This summit is designed for senior leaders responsible for data, analytics, AI, technology, digital transformation, and business strategy, including:

Chief Data Officers
Chief Analytics Officers
Chief AI Officers
Chief Information Officers
Chief Technology Officers
Chief Digital Officers
VP & Heads of Data

VP & Heads of Analytics
Heads of Artificial Intelligence
Data & Analytics Directors
Enterprise Data Architects
Chief Information Architects
Data Engineering Leaders
Business Intelligence Leaders

AI & Machine Learning Leaders
Digital Transformation Leaders
Data Governance Leaders
Enterprise Architecture Leaders
Innovation & Strategy Leaders
Business Transformation Leaders
IT & Technology Executives

Why Attend

Build an AI-Ready Data Foundation

01 Understand what organisations need to do to make data accessible, trusted, contextual, governed, and ready to support advanced AI applications.

Move Beyond Traditional BI

02 Explore the evolution from descriptive dashboards toward predictive, prescriptive, conversational, and decision intelligence.

Turn Real-Time Data into Action

03 Discover how real-time data and streaming architectures can help organisations shorten the gap between an event, an insight, and an action.

Unlock Intelligent Decision-Making

04 Explore how AI and analytics can support faster, more informed decisions across finance, operations, customer experience, risk, supply chain, and other business functions.

Connect Data Across the Enterprise

05 Learn how organisations are addressing fragmented data, inconsistent definitions, disconnected systems, and siloed analytics environments.

Govern AI with Confidence

06 Understand how organisations can establish the governance, controls, transparency, and accountability required as AI becomes more involved in enterprise decision-making.

Event Moderator

Toya Broox Founder and Managing Director Nehr Consulting

Virtual Summit