Search for tag: "design"

Introduction to IBM Engineering Lifecycle Management

IBM Engineering Lifecycle Management (ELM) provides an integrated solution for systems and software engineering, covering everything from requirements management to workflow management and change…

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2 - Why Sustainable Design

Why Sustainable Design

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Why AI Design?

Adam Cutler, IBM Distinguished Designer, explains why everyone should care about designing human-centered AI.

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Team in Action: Define Your Intent

Watch and listen as the Clearbridge team aligns on an intent for the project.

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Introduction to Knowledge

Knowledge is the sum total of everything your AI has understood, reasoned on, and learned. What does knowledge mean for your AI on a holistic level? Learn how to reflect on that question and maintain…

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As-is Scenario

Alisha consolidated the team’s observations and Sponsor User interviews into an as-is scenario. Watch the story to see the current state of individual business travelers’ experiences at…

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Introduction to Data

Learn about data from one of your coaches, Lawrence Humphrey.

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AI Essentials Framework Deep Dive

Follow along with your coaches, Adam Cutler, Lawrence Humphrey, and Milena Pribic, as they unpack the AI Essentials Framework.

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Introduction to Reasoning

Milena gives guidance on scoping your big ideas based on the data you use and what your system is going to learn from it.

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To-be Scenario

See the team’s big idea come to life as a to-be scenario. Notice how the business traveler’s experience has changed.

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Team in Action: Identify Data Sources

Watch and listen as the team identifies and sorts through all of the data that aligns with their intent.

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Team in Action: Big Ideas

The team decides to take some time to diverge and converge to come up with Big Idea Vignettes that will meet their intent and users’ needs.

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Introduction to Intent

Learn about the importance of a clear intent from one of your coaches, Adam Cutler.

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Team in Action: Recognize What Your AI Needs to Understand

Watch and listen as the Clearbridge team starts to define what their AI will need in order to make sense of a loyalty profile.

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Team in Action: Reflect on Your AI’s Capabilities

Watch the Clearbridge team work through the Layers of Effect activity to predict how their AI experience will impact people.

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The strategy: involving the team

Zia realizes he has been working in a silo. Alison helps him plan to better understand the team and enable others to practice design thinking. Tactics: Research your team like you research your users…

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