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Understanding artificial intelligence and machine learning in digital business

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The problem of learning and decision-making is at the core of human and artificial thought, which is why scientists introduced machine learning (ML) into artificial intelligence (AI). AI is a platform or solution that appears to be intelligent and can often exceed the performance of humans. It is a broad description of any device that mimics human or intellectual functions, such as mechanical movement, reasoning or problem solving. ML is a widely used AI concept that teaches machines to detect different patterns and adapt to new circumstances and can be both experience- and explanation-based. For instance, in robotics, ML plays a vital role by optimizing machine-based decision-making, which eventually increases a machine's efficiency by enabling a more organized way of performing a particular task.


The technology behind AI in PPC

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I believe artificial intelligence (AI) will be a key driver of change in PPC in 2018 as it leads to more and better PPC intelligence. So far, I've discussed the roles humans will play when PPC management becomes nearly fully automated and six strategies agencies can take to future-proof their business. In this final post on the state of AI in PPC, I'll cover the technology of AI. AI has been around since 1956, and PPC has existed since the late 1990s. So why did it take until now for AI's role in paid search to become such a hot topic in our industry?


3 Scorching Hot Artificial Intelligence Stocks: Are They Buys?

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Most technology companies are betting that artificial intelligence (AI) will lead to big changes for their businesses. For some, it should make their operations more efficient. For others, it may improve how they deliver content to their users, make their devices smarter, or enhance their hardware and software. But beyond those improvements that will be widely enjoyed across the sector, a handful of companies are actually leading the way. So what are these companies doing in AI, and is there more room for investors to benefit?


3 Scorching Hot Artificial Intelligence Stocks: Are They Buys?

#artificialintelligence

Most technology companies are betting that artificial intelligence (AI) will lead to big changes for their businesses. For some, it should make their operations more efficient. For others, it may improve how they deliver content to their users, make their devices smarter, or enhance their hardware and software. But beyond those improvements that will be widely enjoyed across the sector, a handful of companies are actually leading the way. So what are these companies doing in AI, and is there more room for investors to benefit?


AI in 2018: Google seeks to turn early focus on AI into cash

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This straightforward order to display pictures of delicious fried confections, spoken into a Google Pixel 2 smartphone with the Google Assistant, is the type of command that users have been executing in Alphabet Inc.'s GOOGL, 1.71% GOOG, 1.64% search engine for years. Behind the scenes, however, the response to this type of query now leverages an enormous amount of machine-learning technology that Google has spent years and billions of dollars developing, in hopes of being a leader in artificial intelligence. For that command to function, software produced by Alphabet-owned Google needed to deploy image content analysis systems, voice recognition and a host of other technologies that revolve around machine learning and AI, mostly pumped through high-tech data centers the company has built. It also decided to make the hardware that runs it, with an eye on pushing the abilities of its services to new places in 2018 and beyond. Since 2013, Alphabet has ramped up its infrastructure spending, pouring $57.36 billion into capital expenditures--roughly $10 billion a year.


AI in 2018: Google seeks to turn early focus on AI into cash

#artificialintelligence

This straightforward order to display pictures of delicious fried confections, spoken into a Google Pixel 2 smartphone with the Google Assistant, is the type of command that users have been executing in Alphabet Inc.'s GOOGL, -0.24% GOOG, -0.17% search engine for years. Behind the scenes, however, the response to this type of query now leverages an enormous amount of machine-learning technology that Google has spent years and billions of dollars developing, in hopes of being a leader in artificial intelligence. For that command to function, software produced by Alphabet-owned Google needed to deploy image content analysis systems, voice recognition and a host of other technologies that revolve around machine learning and AI, mostly pumped through high-tech data centers the company has built. It also decided to make the hardware that runs it, with an eye on pushing the abilities of its services to new places in 2018 and beyond. Since 2013, Alphabet has ramped up its infrastructure spending, pouring $57.36 billion into capital expenditures--roughly $10 billion a year.


AI - Technology of the year

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As 2017 comes to a close, I have been noodling about what deserves the title of "Technology of the year." Clearly, Artificial Intelligence (AI) is the winner! Quite a few terms are used interchangeably when discussing the subject of AI, including Deep Learning, Machine Learning, Neural Networks, Graph Theory, Random Forests, and the list goes on. AI is the broad subject, describing how intelligence is gained through machine learning using various algorithmic options like graph theory, neural networks, random forests, etc. Deep learning is a specialized form of machine learning which expands the sample data sets to multi-layer learning. I first worked on Artificial Intelligence during my final semester of engineering school.


AI - Technology of the year

#artificialintelligence

As 2017 comes to a close, I have been noodling about what deserves the title of "Technology of the year." Clearly, Artificial Intelligence (AI) is the winner! Quite a few terms are used interchangeably when discussing the subject of AI, including Deep Learning, Machine Learning, Neural Networks, Graph Theory, Random Forests, and the list goes on. AI is the broad subject, describing how intelligence is gained through machine learning using various algorithmic options like graph theory, neural networks, random forests, etc. Deep learning is a specialized form of machine learning which expands the sample data sets to multi-layer learning. I first worked on Artificial Intelligence during my final semester of engineering school.


A Deep Dive on AWS DeepLens - The New Stack

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Last week at the Amazon Web Services' re:Invent conference, AWS and Intel introduced a new video camera, AWS DeepLens, that acts as an intelligent device that can run deep learning algorithms on captured images in real-time. The key difference between DeepLens and any other AI-powered camera lies in the horsepower that makes it possible to run machine learning inference models locally without ever sending the video frames to the cloud. Developers and non-developers rushed to attend the AWS workshop on DeepLens to walk away with a device. There, they were enticed with a hot dog to perform the infamous "Hot Dog OR Not Hot Dog" experiment. I managed to attend one of the repeat sessions, and carefully ferried the device back home.


How the Rise of AI is Shaping the Data Center Industry

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Artificial intelligence has profound implications for society, and for the data centers that will power it. The rapid growth of AI is contributing to the building of new services, as well as enhancing products already on the market. And the growing popularity of machine learning as a business is also boosting demand for powerful high performance computing hardware. The emergence of AI is a key theme here at Data Center Frontier. The rise of AI applications will drive demand for data center space, and have design implications for how high-density racks are powered and cooled.