Author: workhouse123
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RPA in the Real World
To get a better sense of how RPA works and to understand the benefits, here’s a look at a case study of Microsoft.12 Every year, the company pays billions of dollars in royalties to game developers, partners, and content creators. Yet the process was mostly manual, involving the sending of thousands of statements—and yes, this was a big…
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Pros and Cons of RPA
Of course, quite a bit of time for a typical employee—in the back office—is spent on routine tasks. But with RPA, companies can often get a strong ROI (Return on Investment)—so long as the implementation is done right. Here are some other advantages: While all this is great, RPA still has its drawbacks. For example, if you have…
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What Is RPA?
The term Robotic Process Automation can be a bit confusing. The word “robotic” does not mean physical robots (we’ll cover these in Chapter 7); rather, it is about software-based robots or bots. RPA allows you to use low-code visual drag-and-drop systems to automate the workflow of a process. Some examples include the following: This is all done by…
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An Easier Path to AI
By interacting with applications just as a human would, software robots can open email attachments, complete e-forms, record and re-key data, and perform other tasks that mimic human action. —Kaushik Iyengar, director of Digital Transformation and Optimization at AT&T1 Back in 2005, Daniel Dines and Marius Tirca founded UiPath, which was located in Bucharest, Romania. The…
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Conclusion
While Marcus has pointed out the flaws in deep learning, the fact is that this AI approach is still extremely powerful. In less than a decade, it has revolutionized the tech world—and is also significantly impacting areas like finance, robotics, and healthcare. With the surge in investments from large tech companies and VCs, there will be further…
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Drawbacks with Deep Learning
Given all the innovations and breakthroughs, it’s reasonable that many people consider deep learning to be a silver bullet. It will mean we no longer have to drive a car. It may even mean that we’ll cure cancer. How is it not possible to be excited and optimistic? This is natural and reasonable. But it…
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Deep Learning Hardware
Regarding chip systems for deep learning, GPUs have been the primary choice. But as AI gets more sophisticated—such as with GANs—and the datasets much larger, there is certainly more room for new approaches. Companies also have custom needs, such as in terms of functions and data. After all, an app for a consumer is usually…
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Deep Learning Applications
With so much money and resources being devoted to deep learning, there has been a surge in innovations. It seems that every day there is something amazing that is being announced. Then what are some of the applications? Where has deep learning proven to be a game changer? Let’s take a look at some that…
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The Various Neural Networks
The most basic type of a neural network is a fully connected neural network. As the name implies, it is where all the neurons have connections from layer to layer. This network is actually quite popular since it means having to use little judgment when creating the model. Then what are some of the other…