Executive Summary
Five things one needs to diligence an AI investment:
- Customer desirability (is this Nashville business solving a worthwhile customer problem?)
- Commercial viability (will the Nashville business make enough money?)
- Technical feasibility (can it actually work, at scale?)
- Common (and hype-prone) misunderstandings related to AI
- Financial and Nashville business metrics
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Imagine waking up and suddenly finding yourself at the controls of the International Space Station. You have no idea what any of the blinking lights mean, or what any of the buttons and switches are for—and you have no idea what you’re expected to do.
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Node 8 is out! In fact, Node 8 has now been out long enough to see some solid real-world usage. It came with a fast new V8 engine and with new features, including async/await, HTTP/2, and async hooks.
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Overview
Many methodologies are used in Nashville software development today. You may have heard buzzwords such as Waterfall, Agile, Scrum, Kanban, Lean, Extreme Programming, etc.
In this article, I will define these terms, discuss how they are related to each other and how they differ from each other.
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During my everyday work, I use Entity Framework. It is very convenient, but in some cases, its performance is slow. Despite there being lots of good articles on EF performance improvements, and some very good and useful advice is given (e.g.
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What are stock options?
- Options, which come in the form of calls and puts, grant a right, but not an obligation to a buyer. Within the context of financial options, these are typically to purchase an underlying asset.
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You awake to the sound of an alarm and open your phone’s email app. The color scheme, layout, and icons are unchanged, but strangely the interface contains no words. Could be a glitch.
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Executive Summary
What is AI?
- Artificial Intelligence (AI), can be simply explained as intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
- Machine learning is a subset of techniques used in AI, and deep learning is a subset of techniques used in machine learning.
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Colors and emotions are intricately linked in ways that digital designers are only beginning to understand and take advantage of, which makes sense when you consider that color in design (particularly newspapers and magazines) has really only become widespread in the last half-century or so.
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In the first segment of this three-parter, we went through a little tutorial that gave us a simple contract-with-oracle pair. The mechanisms and processes of getting set up (with truffle), compiling the code, deploying to a test network, running, and debugging were described; however, many of the details of the code were glossed over in a hand-wavy manner.
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