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Data Strategy for Enterprise AI
ESMT Berlin

Data Strategy for Enterprise AI

ESMT Berlin, Berlin
HomeData & AIESMT BerlinData Strategy for Enterprise AI
2 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

Next Available Cohort

Choose your preferred start date

Dec 10 - Dec 11, 2026
2 days · in-person · Instructor-Led · ESMT Berlin Campus
Open
$3,261

All-inclusive program fee

About This Program

AI is only as powerful as the enterprise data strategy behind it. Organizations are rapidly adopting AI, but many still face a deeper challenge: how do you build the enterprise data foundations required for scalable, trusted, and sustainable AI? While access to AI models is becoming increasingly widespread, competitive advantage depends on strategic choices around data assets, architecture, infrastructure, economics, trust, resilience, and operating models. The Data Strategy for Enterprise AI program equips leaders with the frameworks, strategic lenses, and practical tools needed to architect enterprise data as a defensible, compliant engine for AI.

Why ESMT Berlin?

Founded by 25 of Germany's most powerful corporations — including Siemens, Deutsche Bank, and Deutsche Telekom — ESMT Berlin was built from the ground up to serve senior executives, not undergraduates. That origin story still shapes everything: the school is small by design, intensely focused on leadership and technology management, and sits in the heart of a city that has become Europe's most compelling laboratory for innovation, political complexity, and business reinvention.

Your Profile

  • You are a mid- to senior-level leader seeking to create lasting business impact through AI-enabled capabilities grounded in strong enterprise data foundations.
  • You are responsible for AI, data, digital, technology, analytics, innovation, architecture, or enterprise strategy decisions.
  • You are ready to move your organization beyond fragmented data environments toward a coherent enterprise data strategy that supports scalable, resilient AI.
  • You seek frameworks and practical guidance to navigate the tradeoffs around data assets, architecture, economics, operating models, trust, and long-term competitiveness.

Benefits

  • Learn from faculty at the frontier of enterprise AI. Developed by ESMT Berlin faculty and grounded in cutting-edge research at the intersection of AI, data, and enterprise transformation.
  • Work through the real decisions, not the theory. Executive frameworks, diagnostics, and simulations built around the exact tradeoffs, from architecture, ownership, and vendor dependency, that your organization is facing right now.
  • Build with peers who carry the same weight. Learn alongside senior leaders from diverse industries, all responsible for making their organizations' data layers AI-ready.
  • Leave with tools, not slides. Frameworks and decision models built to be applied inside your organization from day one.
  • See past this cycle. Explore the next wave of questions forming around sovereignty, resilience, and next-generation AI systems.

What You'll Learn

  • Enterprise data readiness for AI and autonomous systems: Data pedigree, provenance, lineage, traceability, trustworthiness, and AI readiness.
  • Strategic data advantage and competitive differentiation: Proprietary, public, and synthetic data strategies, data asymmetry, feedback loops, and network effects.
  • Enterprise intelligence architecture: Centralized versus federated models, lakehouse approaches, cloud versus sovereign infrastructure, interoperability, and resilience.
  • Investment, ownership, and dependency at the data layer: Compute and storage economics, CapEx versus OpEx, RAG versus fine-tuning tradeoffs, build versus buy, vendor and SaaS dependency, and the operating model choices that follow from them.
  • Trust, resilience, and regulatory evidence: Privacy, cybersecurity, GDPR and EU AI Act considerations where relevant, auditability, and operational resilience.

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

    Compare programs

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  3. 3

    Contact the school

    Send a message directly to ESMT Berlin via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through ESMT Berlin's official application portal.

    Apply now →