Many of the biggest challenges that people working with artificial intelligence (AI) will face will be nontechnical. AI is often inappropriately treated as a magic bullet for solving ALL of the world’s...
I was previously contacted by a journalist and asked to provide my quick thoughts on unstructured data. Here are a few points that I provided regarding the opportunities and challenges presented with increased...
Learning how to do hard things well requires building your muscle for making difficult choices, understanding the structures that contribute to your advancement and eliminating competing goals. Structural...
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 future of software is being driven by intelligent applications. By the year 2020, more than 85% of customer-to-business interactions will be carried out without humans (Gartner). 81% of IT leaders are already...
Everything is canceled. A global pandemic has placed entire countries under quarantine and closed social gathering spaces, leaving many around the world practicing social distancing at home while counting the days until...
Learn methods for moving beyond the practical aspects of WHAT you do and increase your value at work, strengthen your relationships and maximize your career success.
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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...
Pitching a product idea or a business is a skill that you refine with practice, a LOT of practice. While pitching offers a platform for developing your storytelling and public speaking skills, it is also an excellent...
Enterprise architecture for artificial intelligence The road to enterprise intelligence starts with the humans behind the curtain. This presentation explains how to reduce the friction of AI adoption in the enterprise...
One of the pitfalls to developing production-ready machine learning solutions is the failure to identify the appropriate data assets. In evaluating the data assets to be used for your project, use the Data Iceberg Model...
Learning how to do hard things well requires building your muscle for making difficult choices, understanding the structures that contribute to your advancement and eliminating competing goals. Structural tension can...
Recently, I was watching the viral video that Will Smith posted regarding failure, and I began thinking about goals; specifically, drifting goals. In a culture that places a high value on achievement, there is a...
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Kishau Rogers
