Author: workhouse123
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Variety
This describes the diversity of the data, say a combination of structured, semi-structured, and unstructured data (explained above). It also shows the different sources of the data and uses. No doubt, the high growth in unstructured data has been a key to the variety of Big Data. Managing this can quickly become a major challenge. Yet machine learning…
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Volume
This is the scale of the data, which is often unstructured. There is no hard-and-fast rule on a threshold, but it is usually tens of terabytes. Volume is often a major challenge when it comes to Big Data. But cloud computing and next-generation databases have been a big help—in terms of capacity and lower costs.
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Big Data
With the ubiquity of Internet access, mobile devices, and wearables, there has been the unleashing of a torrent of data. Every second, Google processes over 40,000 searches or 3.5 billion a day. On a minute-by-minute basis, Snapchat users share 527,760 photos, and YouTube users watch more than 4.1 million videos. Then there are the old-fashioned systems,…
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Types of Data
There are four ways to organize data. First, there is structured data, which is usually stored in a relational database or spreadsheet. Some examples include the following: For the most part, structured data is easier to work with. This data often comes from CRM (Customer Relationship Management) and ERP (Enterprise Resource Planning) systems—and usually has lower volumes. It also tends…
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Data Basics
It’s good to have an understanding of the jargon of data. First of all, a bit (which is short for “binary digit”) is the smallest form of data in a computer. Think of it as the atom. A bit can either be 0 or 1, which is binary. It is also generally used to measure…
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The Fuel for AI
tunities for email campaigns. In one case, Pinterest sent one that said: You’re getting married! And because we love wedding planning—especially all the lovely stationery—we invite you to browse our best boards curated by graphic designers, photographers and fellow brides-to-be, all Pinners with a keen eye and marriage on the mind.2 The problem: Plenty of…
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Conclusion
There’s nothing new that AI is a buzzword today. The term has seen various stomach-churning boom-bust cycles. Maybe it will once again go out of favor? Perhaps. But this time around, there are true innovations with AI that are transforming businesses. Mega tech companies like Google, Microsoft, and Facebook consider the category to be a major…
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Structure of AI
In this chapter, we’ve covered many concepts. Now it can be tough to understand the organization of AI. For instance, it is common to see terms like machine learning and deep learning get confused. But it is essential to understand the distinctions, which we will cover in detail in the rest of this book. But on a high-level view…
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Technological Drivers of Modern AI
Besides advances in new conceptual approaches, theories, and models, AI had some other important drivers. Here’s a look at the main ones: All these factors reinforced themselves—adding fuel to the growth of AI. What’s more, these factors are likely to remain vibrant for many years to come.