Browsing Tag
ec
9 posts
Skills Needed to Solve Problems with Data : Getting Started
If you're interested in a career as a data analyst or data scientist, here are some fundamental skills to develop ...
The North Star : Make Smart Decisions Faster
As a person that develops technology solutions, your toughest challenges are rarely technical. Often it’s people, complex business rules, and dysfunctional behaviors that result in bloated, over-engineered solutions that ultimately fail. We often skip building a proper business foundation because it’s sexier to fail fast and fail often, but if you’re already under-capitalized, the best thing you can do is lay a proper foundation that allows you to simplify your decisions.
Unstructured data – Opportunities, Challenges, Dangers + Homework
It is estimated that 80% of new data generated is unstructured, largely driven by audio, video and rich media content. Here are a few opportunities and challenges presented with increased availability and use of unstructured data.
Characteristics of Machine Learning solutions
It is estimated that 87% of data science projects never reach production. One of the pitfalls to developing a production-ready machine learning solution is the ability to define if it's an appropriate tool for solving the problem. Not every problem should be solved with machine learning.
AI, Gatekeepers & New Rules for Solving the World’s Biggest Problems
Did you know that globally only 22% of AI professionals are women? Most business leaders agree that artificial intelligence (AI) will play a key role in shaping the future of work...
Do Hard Things : Creating a new path of least resistance
Structural tension can help you discover how to create advancing patterns and to sustain advancement. This concept is applicable whether you're building a business or building a life.
The Dramatic Pause : Sometimes, You Gotta Let It Simmer
Effort is overrated. Have you ever noticed someone putting forth tremendous effort to improve a situation yet still failing to advance? It’s easy to believe that failure is a result of not enough effort, however, sometimes failure is a result of too much effort or a lack of understanding regarding how things “work.”
A Cheat Sheet for Knowing WHEN and HOW to think
There are four commonly used thinking frameworks: Systems Thinking, Design Thinking, Lean, and Agile. Determining which to use is dependent on what you're trying to accomplish. Here's a cheat sheet for knowing when and how to think.
Value Proposition & The 16 Basic Desires Theory
The Basic Desires Theory outlines the 16 basic desires that guide nearly all human behavior. When performing customer discovery determine which of the 16 values matters most.