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All Blog Posts Tagged 'cloud' (23)

Deploying Python application using Docker and AWS

The use of Docker in conjunction with AWS can be highly effective when it comes to building a data pipeline.

Let me ask you if you have ever had this situation before. You are building a model in Python which you need to send over to a third-party, e.g. a client, colleague, etc. However, the person on the other end cannot run the code! Maybe they don't have the right libraries installed, or their system is not configured correctly.

Whatever the reason, Docker alleviates this…

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Added by Michael Grogan on July 5, 2019 at 8:30am — No Comments

How to make ML engineers 5x more efficient

Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and experienced work force. Demand for data scientists, ML engineers and data engineers is booming and will only increase in the next years. The January report from Indeed, one of the top job sites, showed a 29% increase in demand for data scientists year over year and a 344% increase since 2013.

Salaries and…

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Added by Chris Kachris on May 17, 2019 at 4:50am — No Comments

How to save over $200k on your next machine learning project

Machine learning applications require powerful and scalable computing systems that can sustain the high computation complexity of these applications. Companies that are working on the domain of machine learning have to allocate a significant amount of their budget for the OpEx of machine learning applications whether this is done on cloud or on-prem.

Typical machine learning application…

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Added by Chris Kachris on May 14, 2019 at 11:30pm — No Comments

Speedup your Machine Learning applications without changing your code

Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack…

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Added by Chris Kachris on November 6, 2018 at 7:00am — 2 Comments

Why 80% U.S Companies Will Be Shifted Towards Cloud Based Apps

According to the research  team at IBM, about 80% of the companies in the U.S. today want to use more cloud managed services. There are two main reasons for this.…

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Added by Elianna Hyde on February 1, 2018 at 7:00pm — No Comments

Demystifying Data Lake Architecture

According to Gartner, 80% of successful CDOs will have value creation or revenue generation as their Number 1 priority through 2021.

To create the maximum value out the organization’s data landscape, traditional decision support system architecture are no longer adequate. New architectural patterns need to be developed to harness the…

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Added by Pradeep Menon on August 1, 2017 at 5:00am — 3 Comments

Deep Learning for Everyone – and (Almost) Free

Summary:  The most important developments in Deep Learning and AI in the last year may not be technical at all, but rather a major change in business model.  In the space of about six months all the majors have made their Deep Learning IP open source, hoping to gain on the competition from the power of the broader developer base and wide adoption.

 …

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Added by William Vorhies on August 8, 2016 at 7:36am — 2 Comments

How to Avoid Data Breaches in the Cloud

The world that we live in today becomes more technologically advanced by the day. These advancements have done wonders for society as a whole and have offered much improvement in productivity in the workplace. However, as more applications are being run and more data stored online, in addition to rapid cloud expansion, there is one obvious parallel that is seemingly unavoidable – increased security risks.…

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Added by Peter on May 9, 2016 at 1:30am — No Comments

3 reasons why companies are not engaging with data as much as they ought to

A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.

According to Hewlett Packard

  • 87% Of enterprises cannot fully exploit their data
  • 85% Cannot Analyse data quickly enough…
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Added by Bruce Robbins on November 20, 2015 at 1:30am — 1 Comment

Cloud Data Replication and Routes to Business Opportunity

Cloud data replication is good for backups, but what else might you do with it? For forward-looking users, data replication in the cloud is also a lever for better information, increased autonomy, enhanced productivity, and bigger business opportunities down the line. By conserving an untouched valid reference copy of data, users are free to process or change the other replicated instances, according to their individual…

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Added by Sergei Kharchenko on November 16, 2015 at 8:00am — No Comments

The Top Cloud Computing Vulnerabilities and Threats

Cloud computing vulnerabilities

When contemplating to migrate to cloud computing, you have to consider the following security issues for you to enhance your data safety.



Session Riding



Session riding occurs when an online attacker steals an internet user’s cookie to use the application later as the real user. The attackers might also use the CSRF attacks for them to trick the user to send authentic requests to…
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Added by David Schwartz on September 27, 2015 at 3:43pm — No Comments

Data Science In The Cloud With DataJoy

DataJoy is an unbelievably fantastic way for a working data scientist to have their favorite tools at hand. I am a minimalist when it comes to being mobile, whether working on the road, traveling for leisure, and sometimes both. I do not like to keep files on my laptop and I do not, for the most part, like to worry about keeping updated applications on my laptop. I have tried as much as possible to push my life into the cloud. Yes, I travel with a chromebook. Yes, I use…

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Added by Dr. William Tribbey on September 19, 2015 at 10:00am — No Comments

Big Data & Wearables: Is the Benefit Worth The Risk?

Wearable technology is a type of device that is worn by a user and often includes tracking information related to their health and fitness which it can then upload to the cloud. Other wearable tech includes devices that have motion sensors and cameras to take photos and sync with your mobile devices. Wearable devices can be quite useful, but they may present a huge danger to your privacy.



So far, the market has consisted mainly of early adopter businesses…

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Added by David Schwartz on September 10, 2015 at 10:26am — No Comments

The Business Translator - The Missing Link to Make Data Science Projects Stick

Why aren’t models and insights generated by many Data Science projects an instant hit with companies looking for data driven growth? They miss the Business Translator, an important role that nobody is currently recruiting for. Read on to learn about my proposal on how to make Data Science projects stick at your company and build an enduring business…

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Added by MARIUS MARCU on September 3, 2015 at 8:00am — No Comments

Cloud Services: Open Source vs. Proprietary

Open source and proprietary cloud services both aim to provide end-users with reliable software. Some users prefer the backing of a large company like Amazon or Microsoft, with a tailored list of compatible programs and services. Others prefer the interoperability and flexibility of open source alternatives like OpenStack or Eucalyptus. It's not necessarily an issue of right or wrong, for some people open source software is the obvious choice. Those who want more managed solutions…

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Added by David Schwartz on August 10, 2015 at 7:07am — No Comments

Good Cloud. Bad Cloud. Why Cloud?

cloud over chessboard

Article written by OpenText Director of Industry Marketing, Deb Miller 

Confused about the cloud? You're not alone. Adoption is projected to grow at double…

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Added by Michael Singer on May 5, 2015 at 12:00pm — No Comments

6 Cloud Based Machine Learning Services

Developing machine learning solutions that give a lift from your existing prediction algorithms is not an easy task. They require a multitude of activities to get it right including cleaning up the data, setting up the infrastructure, testing &re-testing the model & finally deploying the algorithm.

Here are five machine learning services that can help…

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Added by Gridlex on April 1, 2015 at 7:30pm — No Comments

Where The Cloud Meets The Grid

Companies build or rent grid machines when data length doesn't fit into HDFS, or the latency of parallel interconnects is too slow in the cloud. This review explores the overlap of the two paradigms at the ends of the parallel processing latency spectrum. The comparison is almost poetic and leads to many other comparisons in languages, interfaces, formats, and hardware, but there is amazingly little overlap.



Your Laptop Is A Supercomputer



To put things in perspective,…

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Added by Peter Higdon on November 24, 2014 at 4:35am — No Comments

The Present and the Future of Big Data and Mobile Technology

As we move to a more technologically advanced workflow, the need for bigger data storage…

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Added by Kyle Albert on March 5, 2014 at 10:06pm — 1 Comment

The Data Science Toolkit - The Future Web Toolkit

There's a lot of confusing jargon and buzzwords in this new field. It helps to know who some of the major players are and what services they offer. This list is a mild introduction and far from exhaustive.



Amazon Web Services: Infrastructure as a service (IaaS). EC2 virtual servers, S3 storage, Mechanical Turk, analytics, and more.

Yandex: Russian competitor for google. Recently launched Cocaine server based on Docker.

Salesforce: Customer Relationship Management…

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Added by Peter Higdon on February 25, 2014 at 7:51am — 1 Comment

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