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Build a Bionic Eye that extracts data from Photos with The Google Vision API.

  • February 19, 2018

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Today, companies from all around the world are searching for reliable, innovative ways to learn more about their customers. As the marketplace for almost every industry becomes increasingly competitive, customer experience and satisfaction are becoming the primary differentiators for brands who want to set themselves apart from the crowd. Since the best way to discover what your audience needs is to learn more about them, it's no surprise that deep learning "artificial intelligence" services are growing increasingly popular.

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Accessing Cloud-Native Hadoop and Spark with Google Cloud Dataproc

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Last year, Google supported the growth of the digital world once again by adding a new product to its range of impeccable data services on Google Cloud Platform (GCP).
Google Cloud Dataproc solution is an intuitive service that helps tech professionals to manage the Hadoop framework or Spark data processing engine on fully-managed services like Cloud Dataflow, or virtual machine engines.

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Machine Learning Big Data Solutions on Google Cloud Platform

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Here at Coolhead Tech, we've been helping companies to tap into the power and versatility of cloud infrastructure for almost a decade. Most people know us for our award winning G Suite Business Support. However, when you dig down into what we can really accomplish for the digitally-transforming IT department, you'll begin to discover that our secret weapon is really our in-depth expertise in big data and predictive analytics.

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The Mid-Market Journey to Big Data with Google BigQuery

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These days, it seems like everyone and their IT manager is talking about "big data". As a diverse and over-reaching subject in the world of technology and communications, big data is something that appeals to every avenue of IT, from the network admins that are trying to deliver more secure access to the right information, to the system admins trying to figure out how to store that info safely.

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Come One, Come All:  Google Machine Learning is in Reach for Businesses of Any Size

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In only two decades, Google has transformed from an experiment in search engines conducted at Stanford University, to a fully-managed technology giant, packed full of cloud-based opportunities for those who want to take their business to the next level.

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Here's Our 2018 Lineup of Google Cloud AI Products

  • January 18, 2018

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Artificial Intelligence is quickly becoming a crucial part of almost everything we do in today's digitally-transformed landscape. Not only are machines picking the kind of social media stories you're reading, but they're also identifying people in photos, and making sure you're less likely to end up in an accident on the road.

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Big Data, Blockchain and Cloud Computing in 2018

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It's easy to suggest that Blockchain technology and Bitcoins could be the future of the finance world. Currently, we're forced to deal with money through an outdated, and somewhat underwhelming physical and digital infrastructure that doesn't have much to offer in the way of accountability. As more is discovered about the possibilities of Blockchain, many believe that these systems will overhaul the money management solutions of the past, and create a new future for cash management.

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A Google Admin's Guide to Using TensorFlow for Business Intelligence.

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The rise of Artificial Intelligence is more significant than ever as we head into 2018. With a new year of technology evolutions to look forward to, system admins and IT developers are currently searching for new and improved ways to take advantage of everything from machine learning to customer analysis. The good news is that everyone's favorite search engine giant, Google, is here to help.

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Containers and Microservices to Rule 2018 and Beyond.

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It's safe to say that the words Microservices and Containerization have been hot topics in the technology industry for some time now. However, as we enter 2018, these terms will become more than just standard buzzwords blowing in the wind.  Soon, we'll be seeing companies from all backgrounds adopting the unique advantages that microservices and containerization bring.

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