The future of AI starts with the foundations we build today.

I bring an enterprise practitioner’s perspective to data, AI and leadership—connecting technology decisions with the people, priorities and foundations that make transformation work.

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15+ years in data & analytics · Experience across Europe

Portrait of Baghman Behbudov, smiling, in a light blazer and open-collar shirt

Connecting data, technology and people.

Successful transformation takes more than a new platform. It needs trusted data, clear ownership and people working toward a shared goal. My experience spans enterprise architecture, analytics delivery and team leadership—bringing these perspectives together to make complex challenges easier to understand and act on.

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Expertise

Four perspectives I bring to every conversation.

Data Strategy & Architecture

Connecting business priorities with practical, scalable data foundations.

AI Readiness

Exploring the data, governance and organizational capabilities needed to put AI to work.

Data Products & Governance

Making data reusable, understandable and trusted across teams.

Leadership & Transformation

Aligning people, ownership and delivery through complex change.

Keynote topics

Talks built for audiences making real decisions.

From AI Ambition to Business Impact

Connecting opportunity, execution and value.

AI creates exciting possibilities, but turning ambition into business value requires clear priorities and coordinated execution. This keynote explores how organizations can connect AI initiatives with business needs, establish ownership and define what success should look like. It brings a practical enterprise perspective to the decisions that shape the journey from experimentation to meaningful adoption.

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AI Readiness Starts with Data

Building the foundations behind the ambition.

An organization’s AI ambitions depend on the data it can access, understand and trust. Drawing on experience in enterprise data and analytics transformation, this keynote explores the role of data quality, architecture, shared business definitions and accountable ownership. It helps leaders recognize the gaps that can limit progress and identify practical steps toward stronger foundations.

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Leading in the Age of AI

Building confidence, judgment and the capacity to adapt.

As AI becomes part of everyday work, leaders face questions about skills, responsibility and how people make decisions. This keynote explores how to lead through uncertainty, encourage learning and create space for thoughtful experimentation. It focuses on the human side of transformation: communicating purpose, building trust and retaining accountability as the ways we work evolve.

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Built through enterprise experience.

My perspective did not come from a framework. It came from working through architecture choices with real constraints, governance questions without obvious answers, legacy estates that still carry the business, and the daily work of aligning business and technology teams who see the same problem differently.

That is the view I bring to a stage: what these decisions actually look like inside an organization, and which foundations tend to matter most when ambition meets delivery.

Years of experience in data & analytics: 15+Years of experience in data & analytics
Countries of professional experience: 4Countries of professional experience
Environments worked in: SAP & non-SAPEnvironments worked in

Bring a practical perspective to your next event.

Let’s explore the data, AI and leadership questions that matter to your audience.

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