Remove Knowledge Remove Problem Remove Structure
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Flat, Tall, or In Between—Is It Time to Evaluate Your Organizational Structure?

.orgSource

The organization may still be boxed into a structure that’s been the same for 20 years or more. How do you know that your organizational structure might need retooling? Each of these issues could signal that a more streamlined organizational structure is needed. It’s a structure that preserves accountability.

Structure 251
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How machine learning can be used to identify microplastics

Fast Company Tech

Microplasticsa global problem The term plastic refers to a wide variety of artificially created polymers. Many plastic polymers have similar structures, so two different polymers can have similar spectra. It does not require the user of the machine learning algorithm to have any detailed knowledge of the algorithm or its training data.

Learning 113
professionals

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Overqualified and underchallenged? Here’s how to make it work

Fast Company Tech

Listen carefully as you’ll hear problems you’re uniquely positioned to solve. Some overqualified employees feel constrained by rigid structures. This stint began in fifth year, so we were reasonably knowledgeable by then. Then, share your knowledge.

Work 99
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How to protect human rights in an AI-filled workplace

Fast Company Tech

Taking away the human element obviously has a structural problem for workers, but it has a humanity problem, as well.” Data collection and storage A third area of focus for Gonzalez is data that’s being taken from workers without their knowledge, including through facial recognition tools.

Podcast 97
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Beyond the Newest Philanthropy Buzzword: Knowledge Work Is Core to Equitable Change

sgEngage

Today, knowledge work is coming into fashion in foundations and the nonprofit sector. Knowledge work is growing because it sits at an important intersection between grantmaking and equitable change. How the sector understands and engages in knowledge work is crucial to the success of philanthropic efforts.

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Stay Ahead of AI’s Magic

.orgSource

Wikipedia offers this one : Intelligence has been defined as the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. While AI does involve logic and problem-solving, it does not think. It calculates.

Language 221
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1.5 Years of Spark Knowledge in 8 Tips

Towards Data Science

Throughout this post, we assume a general working knowledge of spark and it’s structure, but this post should be accessible to all levels of spark. To help both you and potentially others understand its structure, let’s leverage an impressively good analogy borrowed from queueing theory : spark is a grocery store.