Is it ARTIFICIAL intelligence or AUGMENTED intelligence?

The truth? It depends on the design's purpose. An organization’s purpose is informed by its values and profit motivation. Artificial intelligence aims to create autonomous systems that can perform tasks without human intervention, while augmented intelligence seeks to enhance human capabilities by providing AI-powered tools and assistance.

driving data projects, data trendsChristine HaskellMarch 19, 2024user experience, learning development, learning design, human resource design, cybernetics, artificial intelligence, augmented intelligence, co-pilot, open-ia, machine coworker, digital coworker, data literacy, data fluencyComment

4 Perspectives to drive effective data translation

When driving data projects, you will encounter business stakeholder challenges that often go unspoken. This is not always because people hold back but because they don't fully know how to vocalize their constraints.

If they can't directly address their requirement, chances are we can't either. To hear others' speech, we start by asking questions from different perspectives.

driving data projectsChristine HaskellMarch 13, 2024data translation, collaboration, empathy, interpersonal skills, data teams, business stakeholder, data fluency, data literacy, human skills, data skills, project management, change management, it teams, technology teams, good questionsComment

Data Trend: From Spreadsheets to Algorithms

The transition from traditional spreadsheets to sophisticated data management and analysis algorithms represents a significant evolution that has revolutionized how businesses process and leverage information. Algorithms have reshaped the landscape of data-driven decision-making. Facebook's filter bubble is an early example of a machine learning system individualizing the user experience based on user patterns.

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