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…Continue
Added by Michael Grogan on July 5, 2019 at 8:30am — No Comments
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.
Added by Chris Kachris on May 17, 2019 at 4:50am — No Comments
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…Continue
Added by Chris Kachris on May 14, 2019 at 11:30pm — No Comments
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…Continue
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.…Continue
Added by Elianna Hyde on February 1, 2018 at 7:00pm — No Comments
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…Continue
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.
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.…Continue
Added by Peter on May 9, 2016 at 1:30am — No Comments
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
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…Continue
Added by Sergei Kharchenko on November 16, 2015 at 8:00am — No Comments
Cloud computing vulnerabilities
Added by David Schwartz on September 27, 2015 at 3:43pm — No Comments
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…Continue
Added by Dr. William Tribbey on September 19, 2015 at 10:00am — No Comments
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…
Added by David Schwartz on September 10, 2015 at 10:26am — No Comments
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…Continue
Added by MARIUS MARCU on September 3, 2015 at 8:00am — No Comments
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…Continue
Added by David Schwartz on August 10, 2015 at 7:07am — No Comments
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…Continue
Added by Michael Singer on May 5, 2015 at 12:00pm — No Comments
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…Continue
Added by Gridlex on April 1, 2015 at 7:30pm — No Comments
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,…
Added by Peter Higdon on November 24, 2014 at 4:35am — No Comments
As we move to a more technologically advanced workflow, the need for bigger data storage…Continue
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…Continue