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Pattern Shapes Blue
AI Strategy

AI Governance

Discover how AI fits in your enterprise

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What you will achieve with this program

Define the operating and governance models required to scale AI effectively and responsibly in your organization

Understand which governance model is most appropriate, and where the areas of data governance and AI should be positioned

Decide what services should be provided by AI departments and who delivers AI use cases in the organization

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LTPlabs team workshop

Determine which roles and teams should be in place

Devise and maintain a sustainable data strategy

Model Framework

AI Governance

Centralized AI

Central department serving the group

AI

Federal structure

Center of Excellence as AI hub

COe

Decentralized AI

Business Units operating separately

Advantages

  • Centralization of standards, practices and key functions (e.g., data governance)

  • Efficiency and economies of scale

  • Centralization of standards, practices and key functions (e.g., data governance) while maintaining ownership of transformation in the BUs

  • Greater focus on creating an internal and external innovation and analytics ecosystem

  • Autonomy and ownership of BUs

  • Speed in the transformation and implementation of solutions

  • Specialization and customized capabilities according to the context of the BUs

Disadvantages

  • Lack of agility and flexibility of BUs to pursue their analytics agenda and perform their analyses

  • Challenges to capture business specificities and customized capabilities

  • Lack of ownership by the BUs

  • Difficulties in defining and operationalizing the split of responsibilities between CoE and BUs

  • Different models may arise depending on each BU's capabilities

  • Disparity of practices and standards between BUs

  • Difficulty in capitalizing on synergies between BUs

  • Decentralizing data governance tends to be a complex challenge

Model Framework

Data Governance

Master Data Management

Provide a single, consistent and compliant view of business data

Data Catalog

Organize data products and respective metadata

Tech

Consulted for technology advisory

How?

Data Architecture

Design structure and organization of data within organization

How?

Help materialize data models and advise on technology for different storage approaches

Data Security

Protect data from unauthorized access and ensuring compliance

How?

Jointly manage data access and the creation of sensitive data encryption

Data Policy

Sustain policies and standards for a continuous data management process

Analytics

Contributes to data traceability at the source transformation and usage

How?

Data Lineage

Trace data flows from origin through transformation and usage

How?

Development templates declare input tables, process transformations and output tables

Data Quality

Ensure data is accurate, complete, consistent, and reliable

How?

Each process that creates data is subject to data quality assessment procedures

Program Structure

3 pillars for the AI-Ready Enterprise

80% of AI projects fail.
Build the foundations that will allow you to beat the odds.

Strategy

Devise your Al roadmap and decide your next Al investment with confidence

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Team of eight people working with laptops around a conference table in a meeting room
People

Empower your teams with Al literacy to adopt, lead, and scale Al with confidence

Technology

Build a robust data backbone that enables scalable, secure, and impactful Al solutions

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Testimonials

Discover some of our Customer Stories

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Join 180.00+ managers and companies

  • What LTPlabs can actually help us is connect us across projects and make sure that we can actually cross-pollinate on the different areas that we're working on.
    Frederic EstripeauGlobal Portfolio Strategy Director at JTI - Japan Tobacco International
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  • We've been working with LTP for many years, and therefore, LTP has been following this journey, challenged us and added immense value in the use cases that we've developed.
    Filipa Santos CarvalhoNOS Executive Administor
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  • It has been a very strong partnership. It has been spread across several companies of Sonae, through several areas of Sonae, always exploring opportunities to use the information that we have available, activating it in order to help us making decisions.
    João Gunther AmaralExecutive Board Member - SONAE
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  • They are indispensable companions. Our planning system is based on their methodologies.
    Mário Pais de SousaCEO and Chairman - CABELTE
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  • LTP has done a very important job of helping us translate the needs of the business, the real issues, and problems that the business has to solve.
    Paulo SimõesCFO Worten
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Pedro Schuller

Manager

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