Edmonton, Alberta, Feb. 07, 2018 (GLOBE NEWSWIRE) -- OneSoft Solutions Inc. (the --Company-- or --OneSoft--) (TSX-V:OSS, OTC:OSSIF)--is pleased to announce that its wholly owned subsidiary, OneBridge Solutions, Inc. (--OneBridge--), has entered into a Pilot Program agreement with another U.S.-based, Fortune 500 natural gas, oil and petrochemical company (the --Client--). The Client, whose operations include natural gas gathering, treating, processing, transportation and storage, primarily in the United States, will evaluate OneBridge--s Cognitive Integrity ManagementTM (--CIM--) SaaS solution.
We are on the brink of a simmering industrial revolution where IOT sometimes feels like an alchemical sorcerer's stone that could turn anything into gold. Industrial Internet of Things or IIOT actually does have solutions to a lot of problems faced by the industry and beyond but faces its own unique challenges too.
My colleagues and I had the privilege of attending Tata Consultancy Services' (TCS) Analyst Day event held in Boston on September 21, 2017. There were several interesting and informative presentations covering topics such as the concept of Business 4.0 and how TCS is deploying Digital, deep domain expertise and its deep and vast portfolio of services and solutions to provide its customers with exponential value through mass customization, leveraging ecosystems to help its customers embrace and manage risk while maximizing business outcomes. As one of the ARC Analysts focused on upstream and midstream oil & gas it was great to learn more about how TCS is leveraging'cognitive automation' through its solutions such as Ignio, an product that provides some very powerful horsepower through its self-learning capability, empowered by machine learning and artificial intelligence (AI), that can move customers from predictive maintenance to prescriptive maintenance, thereby extending the life (and availability) of an asset such as a pump or compressor and also optimizing that asset's performance and the process for which it is being utilized. I know first-hand that TCS is successfully helping customers in Australia with pump optimization and increasing pump availability as well as, more importantly, helping to increase the customer's gas processing operations by saving over 100-man days per year, reducing pump downtime and increasing production. Harrick Vin, Global Head of Digitate, explained that he envisions advanced analytics platforms such as Ignio as being technology being augmented by people and one that is capable of learning over time.
In this blog post we will look at some of the achievements during a 5-day machine learning hackathon we arranged recently. We were curious about one of the key concepts in our current strategy – could we manage to become a bit more "data smart" on integrity management and maintenance planning on pipelines? We wanted to learn more about the opportunities and maturity level with technologies like big data, machine learning, artificial intelligence and the internet of things. How easy was it to apply and how could it potentially fit into our current product portfolio? In our hackathon, we set up a mixed team of business representatives, experienced developers, data scientists and domain (pipeline) experts.
Artificial Intelligence is simply a machine displaying the intelligence level of a human, at least for the specific domain it has been programmed for. One of the earliest precursors was Eliza, a chat program that had responses pre-programmed in. It would pick up words and/or phrases from sentences, and compare the words (or their synonyms) against its response database for an answer. Its responses appeared to be well-thought out, and surprisingly, it offered a human-like level of interaction. Artificial Intelligence has come a long way since then.
It's a dirty job but somebody's got to do it. And when it comes to the expensive, claustrophobic and sometimes dangerous work of inspecting natural gas and oil pipelines, that somebody is a robot. "We can make sure that these critical elements of energy infrastructure operate more safely, more reliably, more economically," said Edward Petit de Mange, the managing director at the San Diego hub of Diakont, an international high-tech engineering and manufacturing company with offices in Russia, Italy and North America. According to the federal government, more than 2.6 million miles of pipelines supply the nation's energy needs. But aging and deteriorating pipelines pose substantial risks.
SEE ALSO: Drones are smuggling so much contraband into prisons that the UK created a'squad' Turgeon had used a drone, which he says he later returned, to record video of Native American-led protests against the construction of the Dakota Access Pipeline, which would run through Native American land. For this, Turgeon was arrested and charged with felony and misdemeanor counts of reckless endangerment as well as a misdemeanor count of physical obstruction of a government function, according to Motherboard. At about 33 minutes into the video below, you can see what is alleged to be Turgeon's drone flying nowhere close to a North Dakota Highway Patrol plane that is also in frame. The misdemeanor reckless endangerment charge came from allegedly flying a drone above protesters, "creating a substantial risk of serious bodily injury or death."
Many machine learning applications require extensive preprocessing on the data for state-of-the-art performance. A large number of preprocessing procedures have to be fused with a learner to create a wrapped learner, which assures that the same preprocessing is used in training and prediction. This creates a preprocessing chain which can be added to any learner with a single command to construct a configurable pipeline. The R programming language already offers a general purpose package for piping function output to new functions, magrittr. This is heavily utilized by the package dplyr for data manipulation, but mostly consists of basic low level functionality, e.g., mutation, aggregation, selection, filtering etc.
When you hear the term "artificial intelligence," you may think of tech giants Amazon, Google, IBM, Microsoft, or Facebook. Industrial powerhouse General Electric is now aiming to be included on that short list. It may not have a chipper digital assistant like Cortana or Alexa. It won't sort through selfies, but it will look through X-rays. It won't recommend movies, but it will suggest how to care for a diesel locomotive.