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What does Lean Development mean?

Lean Development. Lean Development. A software development approach that emphasizes efficiency by creating minimum viable products for testing and iteration, instead of trying to create a perfect product before users try it.

Creating a Digital Factory

The Digital Factory, a Talk/Keynote/Workshop

Rapidly build and improve software with methods like lean, agile and DevOps. Description.

What does Software Development Life Cycle (SDLC)  mean?

"Originally, our developers' software development life cycle was focused on long-term, well-defined functions; since it didn't always account for how quickly we have to change things in today's market, we've also added in lean development and other approaches

The AI & Digital Fluency Guide

Machines That Learn. Discover mechanisms by which machines can learn. Read the Guidebook. Data Ethics. Engage in data-centric innovation in a consistent, responsible way. Read the Guidebook. Creating Value with Data.

How Principles Work | Principles Guidebook

In other words, instead of telling people what to do, your goal is to lead by giving them the clarity to decide on their own what to do. Principles for aligned decisions.

Exponential Thinking: From 10% to 10x | Thinking For A Digital Era Guidebook

Learn to fall without failing. People say “fail fast” and “it’s ok to fail,” but some kinds of failure are unacceptable. To avoid high-stakes failures, you need to practice falling under less risky conditions.

Introduction to the Digital Factory | The Digital Factory

Through a blend of. design thinking, lean business, agile. programming, and development operations (. DevOps. ), digital factories work to quickly produce digital offerings.

Rethinking Online Events: Going Beyond “Dialing In” | Rethinking Remote Guidebook

But when online, we often switch into ‘lean back’ mode like we’re watching television, rather than being an integral part of what’s happening in the event.

Machines That Learn

AI: Machines That Analayze, Learn & Generate. Explore the possibilities—and limits—of machines that adapt and think. Read First Chapter.