Engineering AI delivery that works in the real world

Most AI projects fail because companies use traditional delivery models for a discipline that plays by different rules. Learn how to design a delivery approach that turns prototypes into measurable business outcomes.

This whitepaper is a practical guide for technology leaders who want to move AI from the lab into the core of business operations.

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Inside the Whitepaper

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Why AI delivery requires a new model beyond traditional software practices

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The most common pitfalls that derail AI projects, and how to avoid them

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Principles for sustainable AI delivery: experimentation, data governance, and automation

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Practical frameworks and team structures that bridge the gap between pilot and production

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Real-world examples of companies scaling AI with hybrid agile models

A man with a beard and mustache, Guilherme Ferreira, AI/ML Leader at e-Core.