Machine Learning Cloud Platform Comparison

Lauren MarckTechnical TipsLeave a Comment

Last updated on August 6, 2018. Published on August 6, 2018. Forward-thinking organizations are increasingly including Machine Learning capabilities as part of their overall digital business strategy. When used effectively, Machine Learning can enhance existing products and services with new smart features, or reduce operating and production costs. As organizations proceed from strategy development to implementation, Machine Learning platforms and their services support numerous intelligent applications for lightweight, agile POCs as well as highly scalable production deployments, with all the benefits expected from a cloud-based infrastructure. The top cloud platform providers we evaluated are Amazon, Google, IBM, Microsoft, Oracle, Salesforce, and SAP. … Read More

NLP Cloud Platform Comparison

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Last updated on July 24, 2018. Published on July 24, 2018. Choosing the right cloud platform for your business can be tricky and ultimately depends on what specific service-based capabilities you are looking for. To help identify platforms and services to evaluate for your Natural Language Processing (NLP) needs, we have compiled and categorized the related services from several leading cloud platform providers. The cloud platform providers we evaluated are Amazon, Google, IBM, Microsoft, Oracle, Salesforce, and SAP. We looked at the services offered by each and matched up those that provide similar capabilities. Please see the table below. NLP Cloud Platform … Read More

Learn About Industrial IoT Platform Services for Analytics and Machine Learning at BIWA Summit 2017

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This week a team from M&S is at the BIWA Summit 2017 at the Oracle headquarters in San Francisco. The BIWA Summit focuses on topics such as Internet of Things (IoT), Data Warehousing, Advanced Analytics, Big Data, Business Intelligence, and Cloud Computing. We are excited to have one of our Big Data and IoT practice leads, Jay Mason, invited to present a session on “Industrial IoT Platform Services for Analytics and Machine Learning.” A number of IoT platform offerings have recently entered the market. IoT platform applications began with Machine to Machine Intelligence (M2Mi) in 2006, and the M2Mi platform is … Read More

WebLogic Security – Critical Vulnerability Impacts All Recent Versions

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Oracle recently released its Critical Patch Update (CPU) for July 2016, and there is a vulnerability addressed by this CPU that WebLogic administrators need to know about. At M&S Consulting, we have been facilitating the application of the appropriate patches required to address this and other vulnerabilities. It is very important to apply this most recent CPU as soon as possible, as one of the vulnerabilities it addresses, CVE-2016-3510, is relatively easy to exploit and can cause serious problems. About CVE-2016-3510 CVE-2016-3510 affects all versions of Oracle WebLogic Server since 10.3.6. So major versions such as 10.3.6, 12.1.3, and 12.2.1 … Read More

Get Hands-On Experience with Machine Learning by Using H2O

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H20 ai logo

Machine learning is a method of teaching computers how to use data to make predictive models and perform important tasks accurately without manually programming them to do so. In other words, machine learning allows a system to learn from data and experiences so that it can improve its performance in future tasks. For example, have you ever seen on Amazon the “Frequently Bought Together” section? This is where Amazon recommends add-ons or complementary goods based on the product you are looking at. If Amazon had to manually program recommendations for each of its 200 million products, it would take a … Read More

Industrial Internet of Things Platform Comparison

Lauren MarckBusiness Strategy, Industry Trends, Technical Tips16 Comments

IoT Matrix diagram

Last updated June 12, 2017. Published on February 8, 2016. The market for Internet of Things (IoT) platforms is rapidly evolving. With an ever increasing number of available platforms to choose from, we decided it would be helpful to lay out their features and capabilities for easy comparison. To complete our matrix, we used the following criteria: a major IoT player with a platform that has real-world success implementing industrial use cases. The first section gives general information about the various platforms, including the platform name, the Platform as a Service (PaaS) used, and the date the platform became available. Most were … Read More

Black Friday, Cyber Monday, and Giving Tuesday Word Clouds

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Cyber Monday word cloud

There are some fun holidays coming up so we decided to see what people were saying about them on Twitter. Similar to the Valentine’s Day Word Cloud we created, we used R to pull tweets from Twitter, clean them up and display the most frequently used words in a word cloud. See them below! Black Friday: Cyber Monday: Giving Tuesday: