“If it was easy, it would be done by now.” Ain’t that the truth? When projects are easy, inexpensive, and quick they are likely to get done. Even tasks that might not be so important have a chance. When projects look to be difficult, costly, and take a lot of
A few weeks ago, while perusing the New York Times I came across the article, “How Tech Giants Cut Corners to Harvest Data for A.I.” The article was written by a team of five reporters located in San Francisco, Washington, and New York. The main gist of the article is
Artificial intelligence (AI) used to be something we thought about as a future need or threat. Just a couple of years ago, the impact of AI on our daily lives was indirect. Companies employed AI systems that ran behind a user interface. Even though we have interacted with AI for
Recently, I was working through some challenges with a custom schema that supports the structured content model for one of my pharma customers. I needed to take an existing document and lay it out with both the old schema and the new schema and make sure all the proposed changes
Ahh, AI. The promised future coming to fruition within the little screens we interact with on a daily basis. Though we assumed artificial intelligence would come in the form of apron wearing robots like the ones in the Jetsons, AI comes to us in more practical forms with the same
Earlier this year, I took a course on artificial intelligence taught at the Executive Education division of the UC Berkeley Haas School of Management. The course was primarily focused on AI business strategies and applications. The course covered many topics, including: The basics of machine learning Neural networks Deep learning
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