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Google’s new cloud service eases data preparation for machine learning | Computerworld

Google's new cloud service eases data preparation for machine learning BigQuery gets a bunch of updates for big data, too One of the challenges that data scientists face when running machine learning workloads is processing information before it’s ready for use. Google unveiled a new cloud service Thursday aimed at easing that pain.Google Cloud Dataprep will automatically detect data schemas, joins, and ano ...

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Why Voice Won’t Replace Screen Search 

Why Voice Won't Replace Screen Search With more than 30 million voice-first devices expected in U.S. homes before the end of the year, it’s no wonder there is so much buzz about voice, the user interface that will transform how brands and marketers engage with customers.There’s a lot of talk that companies need to prepare for a world where voice is the primary — or even the only — way consumers will interac ...

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Why the Financial Sector in India is betting big on Chatbots

Why the Financial Sector in India is betting big on Chatbots Banking gets smarter with as Deep Learning and NLP technologiesHere’s a common scenario in the financial sector – high volume customer support tasks are being standardized and executed by chatbots or software applications that can be scaled up accordingly and are streamlining operations.  From insurance discovery, buying and renewal to handling da ...

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Implement Serverless Log Analytics Using Amazon Kinesis Analytics | AWS Big Data Blog

Applications log a large amount of data that—when analyzed in real time—provides significant insight into your applications. Real-time log analysis can be used to ensure security compliance, troubleshoot operation events, identify application usage patterns, and much more. Ingesting and analyzing this data in real time can be accomplished by using a variety of open source tools on Amazon EC2. Alternatively, ...

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Amazon Web Services’ secret weapon: Its custom-made hardware and network – GeekWire

It’s not unusual for internet and software giants to design and even make their own hardware, to increase efficiency and build a competitive advantage. Google custom-designs its own servers, filling them with millions of chips from Intel, and announced in May that it has designed its own application-specific integrated circuit (ASIC) for use on neural networks. Facebook uses its own switches in its data cen ...

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Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning | AWS Big Data Blog

Air travel can be stressful due to the many factors that are simply out of airline passengers’ control. As passengers, we want to minimize this stress as much as we can. We can do this by using past data to make predictions about how likely a flight will be delayed based on the time of day or the airline carrier. In this post, we generate a predictive model for flight delays that can be used to help us pick ...

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Playing with 80 Million Amazon Product Review Ratings Using Apache Spark

Amazon product reviews and ratings are a very important business. Customers on Amazon often make purchasing decisions based on those reviews, and a single bad review can cause a potential purchaser to reconsider. A couple years ago, I wrote a blog post titled A Statistical Analysis of 1.2 Million Amazon Reviews, which was well-received. Back then, I was only limited to 1.2M reviews because attempting to pro ...

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This company is using Amazon Snowmobile to transfer petabytes of data to the cloud

One of the most dramatic announcements from Amazon Web Services at its 2016 re:Invent conference was the announcement of Snowmobile: It’s a 45’ semi truck that trailers a data center on wheels. Customers can load it up with up to 100 petabytes of data per Snowmobile, which is then driven to an AWS data center and loaded into the company’s cloud. It begs the question: Who’s actually using this? DigitalGlobe ...

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Data Wrangling at Slack

For a company like Slack that strives to be as data-driven as possible, understanding how our users use our product is essential. The Data Engineering team at Slack works to provide an ecosystem to help people in the company quickly and easily answer questions about usage, so they can make better and data informed decisions: “Based on a team’s activity within its first week, what is the probability that it ...

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Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning | AWS Blog

  What do you see when you look at this picture? You might simply see an animal. Maybe you see a pet, a dog, or a Golden Retriever. The association between the image and these labels is not hard-wired in to your brain. Instead, you learned the labels after seeing hundreds or thousands of examples. Operating on a number of different levels, you learned to distinguish an animal from a plant, a dog from a ...

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