In 2016, the artificial intelligence and machine learning hype cycle reached fever pitch. We’ve been here before; it seems as if revolutionary artificial intelligence has been on the cusp of reality for decades. It’s understandable that many in the eCommerce world are skeptical, particularly smaller eCommerce merchants who have to be careful where they invest resources.
Although the benefits of AI / ML are often overblown, it’s clear that it will make — and is already making — a real difference. The contrast between this and other “AI changes everything” hype cycles is significant. The technology in the limited domains relevant to eCommerce has advanced enormously: we’re better at data analytics on huge scales, we’re better at natural language processing and pattern recognition, we’re better at building cheap and scalable infrastructure, and the market has matured: many companies offer products and services that use AI / ML to provide real-world benefits to retailers without requiring a phD in computer science.
Artificial intelligence is the application of automated systems to decision making, the discovery of solutions, and the delivery of insights. That sounds great, but it doesn’t mean anything without practical applications, and, in 2017, there’s no shortage of eCommerce companies and solution ...
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Most of us don't think about security at all. We want to get our jobs done, and we want to do them well and quickly. Security often gets in the way, putting up barriers to productivity and efficiency that are a constant cause of frustration. If you've had security training, at least you know why these inconveniences exist, why you can't download your company's private data to a thumb drive even though it makes it super convenient to work from home. If you haven't had security training, the frustration is just frustration — why not take data home?
Almost everyone who works in IT knows that the inconveniences of security are a necessary part of a company's life. They have the training and the knowledge to put information security risks into context. But too many companies think that security stops at the data center door: that secretaries, executives, salespeople, and others who use IT rather than manage it don't need the training to understand the data security context in which they work.
That's a mistake. Every employee who has access to sensitive data should be given at least a basic understanding of the implications and potential causes of data loss, so that ...
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