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Arc Flash Analysis Software - Creative Safety - 0 views

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    It is the legal duty of any factory's management to make sure that it protects its employees from the dangers of arc flash. Most importantly, they need to comply with the OSHA industry standards which among other things, require that the management conducts a proper assessment of the arc flash hazards within and around the workplace. Have you heard about the arc flash analysis software? You need to consider it as you deal with the dangers of arc flash when working with high voltage equipment. Arc flash analysis is theoretically quite straightforward. It involves collection of data from the power distribution system. You also look at the dimensions of the electrical cables; the cross-section area and length. Once management has sourced this and other relevant information, they use the arc flash analysis software to conduct the short-circuit analysis of the system. The data realized is then used to get comparisons with the standards. With resultant data, the management is able to decide on the best PPE equipment for the employees. After using the arc flash analysis software, the resulting PPE requirement is in most cases too expensive. What can the management do to avoid paying the high costs? One way of doing this is upgrading the equipment to newer and more efficient versions. You may have noticed how easy it is for old circuit breakers to trip. This is simply because these breakers have low reaction times. The arc flash analysis software helps management to conduct sensitivity study, and the results of such a study might suggest an overhaul of the existing circuit breakers. You might be wondering whether arc flash analysis software is that important. In the industry setting, the primary concern for the manager should be the safety of employees. Arc faults are very dangerous and can cause burns, serious health complications and in some instances, death. It is important for the management to take arc flash analysis and warn of such hazards and so as to curb the
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Why Is Sentiment Such A Big Deal? - The AI Company - 0 views

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    Sentiment, Sentiment Analysis, Sentiment Tracking have become a hot topic with multiple 'AI' startups focussing on providing sentiment driven insights to enterprises. The number of such startups points to the potential that enterprises see in Sentiment analysis and the impact it has on how the enterprise plans, operates, executes and delivers value. Sentiment Analysis is process of extracting sentiment (emotion or feelings) captured in signals that are embedded in various types of media such as print, text, audio, video, images etc. For example, if a reporter submits a report on a particular enterprise, the sentiment embedded in the article can point to how excited, worried, upbeat or impassive they might are about the enterprise. This sentiment can be then used by the enterprise to understand the perception about the enterprise that the external market carries and whether that perception is improving, degrading or staying unchanged. This insight can be used by the enterprise to improve their go to market plans, change their PR strategy or even go deeper and change their product strategy. Sentiment Analysis Is Not New The tracking, measurement and use of Sentiment is not a new scenario. Enterprises have been leveraging the output of sentiment analysis for a long time. User surveys, focus groups, market research, customer interviews etc. are all examples of generating data to perform and track sentiment. Similarly, influencer marketing through association with influencers or events or organizations with a certain perception or sentiment associated with them is a common technique to improve the enterprise's own sentiment. Sentiment Analysis and strategizing based on the analysis is a common and required function for any enterprise. Sentiment Analysis Using Artificial Intelligence With the advent of Artificial Intelligence (AI), enterprises now have another technique in their kitty to understand how they are perceived in the market and how that perception i
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Are you worried about the quality of your data? - The AI Company - 0 views

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    The quality or the lack thereof can be a huge contributing factor to a fractured and sluggish digital journey where ROI is hard to achieve and results come in short supply. The quality of data has a direct impact on the ability of the enterprise to be aware of relevant events, its reaction time, the decision time and its action time. A clear and concerted effort is required to measure and improve the data quality to drive better decisions and actions. Common Quality Issues The following are the most common quality issues Comprehensiveness Comprehensiveness quality issues refer to key attributes or data points missing from the data collected by the enterprise. This can occur when the data producing systems or the data delivery networks have glitches or malfunction or are incorrectly configured to miss entire rows of data or attributes of the data. Integrity Integrity quality issues refer to the corruption of the values of key attributes to contain unidentifiable or unreadable data. When key attributes are empty or null when they are by design, not allowed to be empty/null or when an attribute contains a value that does not meet the specifications of the type of the attribute for example, a string column contains an integer or a timestamp column contains a string not parse-able into a timestamp. Integrity of data is important before data can be included in the data set to drive analysis, decisions and actions. Sampling Sampling quality issues refer to the inclusion or exclusion of a certain percentage of the records in a data set with the assumption that the remainder records are good, representative sample of the original data set. Bad or inaccurate sampling can lead to a distorted view of reality and that can lead to bad decisions. In addition, sampling itself can make the data set inappropriate for certain types of analysis that require the entire dat set to be utilized for training. Filtering An upstream filtering scheme can end up removing too many or
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SKM System Analysis, Power System Software, and Arc Flash Systems - Creative Safety - 0 views

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    Our customers have had great luck printing from SKM and we recommend SKM to anyone looking for arc flash software. SKM has a great support staff and they offer lots of training seminars to help their clients in using their software. After working with thousands of clients on arc flash, we have seen SKM grow to be a large company that have always put its customers first, if you have any questions please call 866-777-1360 or click on the links below. A Brief History of SKM Software: SKM Systems Analysis, Inc. is a California-based corporation founded in 1972. They originally developed the DAPPER power system analysis software on a mainframe at the UCLA Computer Center. By 1978, DAPPER was running in time-share mode on the Control Data Corporation mainframe, and being used by engineers both in the United States and internationally. The first PC version of DAPPER was released in 1981, followed in 1983 by the CAPTOR software. A_FAULT was developed in 1988 and IEC_FAULT in 1991, to provide ANSI and IEC-909 fault calculations. SKM released Power Tools in 1995, completely rebuilding it from ground up using the latest Arc Flash development tools. The new Windows PTW line of software offers the same powerful studies that have been available in DOS, but adds greater flexibility. No other software can match SKM's Power Tools for project analysis flexibility, speed, or database integration. With over 35,000 users worldwide, no other software package has the breadth of support from the professionals in the engineering community of SKM Power Tools for Windows. From industry leaders like Cutler-Hammer, GE, Square-D and Siemens Westinghouse, to independent contractors and leaders in every industry, Power Tools is the application of choice when it comes to electrical engineering software.
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Are You Leaving Money On The Table And Why A Monetization Strategy Is Key - The AI Company - 0 views

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    Enterprises across the board have a lot of untapped potential in their data. The data is not only relevant and useful within the enterprise but can be a valuable source of insights for the enterprise partners and customers. In some cases, the value of this data can be high that partners and customers are willing to pay extra to get access to this information at a certain fidelity, freshness or scope. Enterprises that do not have a clear and coherent monetization strategy are leaving money on the table. In addition, they stand to lose customers to competitors who gain the first movers advantage by addressing this market need. The Value of Data The first step in determining a monetization strategy is an audit of the enterprise data assets and a determination of the customers who are interesting and willing to pay a premium for access to this data. The Value of Data is proportional to the following: Freshness The more "fresh" a dataset is higher its value typically. This is because there is an advantage in the early visibility provided by first access to new information. 'Freshness' is defined the latency between the creation of data and the delivery of the data to the consumer. Consumers of data will pay a premium for fresh data if it fits into their decision and action strategy. Fidelity Higher the "fidelity" of data i.e. how much detail a particular data point carries also increases the value of the data in the eyes of the data consumer. Higher fidelity data offers more information and detail enabling the consumer to design highly valuable analysis that leverages the additional details offering a deeper insight into the situation at the present or historically. Raw The more "raw" a data set, higher its value as it can support a much larger set of analysis scenarios that a processed data set could support. Data sets that are aggregated, sampled, filtered or transformed can have a lower value as they can severely limit the type of analysis. Raw
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Are You Prepared To Be A Digital Organization - The AI Company - 0 views

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    For many enterprises, transforming into a digital organization is a very big priority. Digitization is more than a passing fad; instead it almost is a precursor to survival in the next decade. Analog mechanisms of running businesses are no longer sustainable nor likely to give confidence to customers, employees, stakeholders and shareholders. Measuring Digital A digital organization is characterized by the following Time to Customer Insight The Time to Customer Insight in a digital organization is the time it takes to collect, process, analyze information to determine the health of a customer, their satisfaction with current products and services, their unmet, possibly unstated needs and the impact that external market events might have on the customer. Time to Reaction Time to Reaction is the time taken to react to a customer insight through the introduction of a new product/service to solve an existing or a new problem or through better packaging of existing solutions to address otherwise existing problems. Time to Market Time to Market is the time taken to bring a new capability, product or service to market often as reaction to a customer or market insight or feedback Time to Iteration Time to Iteration is the time taken to solicit, gather, process, analyze customer feedback and effect a change in existing products or services or bring new products and services to market to address the customer feedback. Digital Organizations Digital organizations are characterized with minimal Time to Customer Insight, Time to Reaction, Time to Market, Time to Iteration and a constant effort and investment into further optimizing and minimizing these metrics. Digital organizations focus on the flow of information through the organization and use of the information to generate and deliver more value for the customers. Key Characteristics of Digital Organizations Instrumentation of Interfaces, Products, Systems, Applications, Processes A digital organization ensures
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Do you have a complete, comprehensive, single version of the truth about your business?... - 0 views

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    One of the key milestones on the Digital Journey starting with a Digital Strategy, Digital Transformation and then sustaining on Digital Innovation is the point where the enterprise reaches a point of data maturity powered by a single, organization wide, consistent version of the truth including the state of the customers and the state of the business and the state of the employees. This point is critical as it becomes the launchpad for several, forward looking initiatives including Artificial Intelligence, ChatBots, Blockchain etc. "Complete" A Complete version of the truth ensures that the following criteria is met: Entity Pivot The key entities that need to be tracked to generate a complete, comprehensive version of the truth are the following Employee Employees, regardless of customer facing or not, need to be understood including where they excel vs. struggle and where their struggle impact the customer experience. Key information about employees that should be tracked is what the employees are working on, how productive they are and how often they introduce delay and errors in business processes. Business Business visibility requires that the enterprise be able to track key metrics such as customer lifetime value, customer attribution, customer acquisition cost and customer satisfaction. In addition, the stage of the customer ranging from prospect to commit to paying customer to abandoned needs to be tracked. In addition, the customer's quality of service and experience needs to be tracked and understood. Customer The most critical of the three is the understanding of the customer. Customer KPIs have a direct impact on and are completely impacted by the Business and Employee KPIs. It is extremely important to understand how customers are searching for, discovering, learning, understanding, using and continuing to use the product and services delivered by the enterprise. In addition, it is important to understand what capabilities drive what kin
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Short Circuit Analytic version 1.0 - Creative Safety - 0 views

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    The new Short Circuit Software version is now available. TORONTO, ON - ARCAD Inc. is helping create a safer working environment for repair service people and electrical maintenance workers who service electrical systems by providing on-line and PC based software for short circuit and arc flash hazard analysis. The arc flash software will help a business meet OSHA, NFPA 70D, CSA Z462 regulations and code requirements. SCA V1.0 (Short-Circuit-Analytic) software performs available fault currents calculations in three phase electric power systems. The program will take into consideration electrical parameters of the power supply as well as the power distribution system including cables, bus ducts, transformers, utility, motors, generators, etc. The software will automatically convert the entire system into a unique unit from which the short circuit current at each point is calculated. Because the process is simple and efficient, it will save a business money and time. Short Circuit Analytic Capabilities are as follows: Computes contributions from generators and motors Prints out multi-page single line diagrams Calculates available 3-phase short circuit currents within your power distribution system Saves calculation results and equipment data Compliments ARCAD software for arc flash hazard analysis and labeling Should you encounter any problem installing or running SCA V1.0, contact http://www.arcadvisor.com and they will assist you in identifying and resolving the problem.
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Skateboarding, The AI Company and the Autolearn Boost - The AI Company - 0 views

  • What is common between skateboarding and learning to skateboarding & autolearn.ai’s AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don’t, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the “learn” the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company’s platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn’s SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost.  With The AI Company’s AI, you are able to reduce what traditionally in data science would take upwards of a year and multiple data scientists to mere days through the automated training, selection and deployment of the best AI models out of 1000s of variations generated in parallel by AutoLearn. Not only do you reduce the time taken to go live with AI, because of the automation and the efficiency maximizer in AutoLearn’s AutoAI, you are guaranteed the best possible AI model. This is not guaranteed in a manually driven data science practice!
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    What is common between skateboarding and learning to skateboarding & autolearn.ai's AI platform. Lots, turns out. Consider the process of learning to skateboard. One repeatedly tries a move with the skateboard. You look at if you can land the move. If you do, you try a different move. if you don't, you slightly vary something in your technique; maybe you try a different center of gravity or angle your legs slightly differently or move your arms differently. Rinse. Repeat. As the skateboarder tries different variations, the "learn" the intricacies of every move and slowly improve. The more time, the more variations and the more analysis they do, the faster they learn and get better. Over time, one can go from a novice to an expert, having built a massive repository of insights and training that help the brain leverage the learning to control the brain that in turn controls the muscles, bones and body weight to effortlessly skateboard. The AI Company's platform is designed to mimic the process of learning to skateboard. However, instead of sequentially repeating the learning task, the AI platform enables automatically parallelizes the learning process by simultaneously trying out each possible variation for each move and then parallelizing learning multiple moves at the same time. This massive parallelization is accentuated by the automatic selection of the most optimal and accurate insights (AI models) that learn the best in the context of the problem at hand. The best AI models are automatically deployed to production, stored in a very secure form and can be leveraged in traditional app development or in the development of intelligent smart contracts (AutoLearn's SmartChain). Imagine learning a skill instantly by parallelizing your learning so that you can try out the millions of variations, learn from them and ingest the learnings instantly. This is the AutoLearn boost. With The AI Company's AI, you are able to reduce what traditionally in data
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Innovation is not Technology and Technology is not Innovation - The AI Company - 0 views

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    One of the most common misconceptions out there is the belief that technology equates innovation. Innovation is the creation of new value through a better solution for a problem that either does a better job in solving the problem or does so in a manner that the solution is accessible in a larger set of circumstances by a larger number of people. On the other hand, technology is simply the tooling that holds the promise of new solutions but by itself, is meaningless. Enterprises can become enamored by the promise and hype about technology and go down long, complex journeys, invest millions in upgrading technology and still come out empty on the other side because they built technology for technology's sake. Even in well intention boards and C-suite, industry peer pressure and hype around technologies can force action that ultimately leads to massive investments in people, software, technology, and vendors but does not yield the ROI promised by the technology. Leadership The problem can be accentuated when not enough due diligence is done on the applicability of the technology to the enterprise given the current state i.e. the point in time when the technology is being introduced, the customer's propensity to accept the technology-driven solution i.e. are the users ready to embrace, adopt, learn and utilize new solutions and burning problems that necessitate the adoption of new technology to better solve the problem. When the timing of new technology introduction is gotten wrong, it almost always fails to deliver on its promised ROI. Leaders need to rise above the hype and peer pressure and ensure that they understand, first and foremost, the burning problems that plague their customers or make the bedrock of their future strategy. Next, leaders need to ensure and validate that the technology in mind can actually be used to solve the problem through rapid prototyping and minimal investment. Once customer feedback on the prototype has been validated, then only
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Safety Myths We Could All Live Without - 0 views

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    Safety Myths We Could All Live Without Safety MythsI'm going to level with you today: There's a lot, and a mean a metric ton, of misinformation when it comes to safety in the workplace. The more experience you have, the more and more you discover which of the things you've been told actually seem to hold up to the action of a real workplace, and which advice becomes clearly idealistic and less useable. That said, why can't we just skip past the clutter? Why do myths about the nature of safety and accident prevention continue to circulate when experienced practitioners know them to be complete bologna? To be honest, I can't answer that, but hopefully what I can do is more useful; in this article, we're going to go over some common workplace safety myths and dissect them so that, with a whole lot of luck, they won't leave anyone's lips ever again. Accidents Happen Safety Myths AccidentsFirst of all, yes, accidents do happen… but the statement itself is dismissive, and suggests that some things are just out of our control. The problem with this sentiment is twofold. First of all, it's a slippery slope: If you decide one thing is out of your control, it's easier to accept that another thing might be as well. Before you know it, you're leaving too much up to chance and not enough up to your problem solving skills. The second problem is that the idea that accidents just "happen" of their own accord is silly and untrue. There is always something you can do, and you should always be actively improving your safety by finding these things as they come along. One counter example to this that people sometimes come up with is a case in which an employee does something really boneheaded and gets themselves into a dangerous situation. "Isn't that kind of out of my control?" one might ask. Actually, there are two possible situations here: 1. The worker deliberately put themselves in harm's way for some unknown reason. In this case, a resu
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https://www.safetyblognews.com/is-your-organization-ready-when-disaster-strikes/ - 0 views

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    According to the Insurance Information Institute, 40% of businesses affected by a natural or human-caused disaster never reopen. When disaster strikes, consumers can only wait so long before moving on to another supplier or service provider if you are not able to get operational in time. Insurance might help to recover some of your loses, but it will do little to replace your customers. More importantly, the safety and well-being of your employees as they cope with disaster is a hefty task in itself to take on. In light of recent events, many organizations are left wondering, are they ready and prepared when disaster strikes? So just what does it mean to be ready? Investing in a preparedness program can make all the difference in the world when disaster strikes and promote an internal belief that your company is ready for disaster when it strikes. This policy should reflect the mission and values of your organization that can be implemented seamlessly throughout the company. Focal points of your preparedness program should detail specific goals including: The overall safety and protection of your employees, visitors, and any other persons that may be at your facility when a disaster occurs. Don't forget to account for persons with disabilities and special needs. Keeping customer service operations functional Protection of assets, both in the physical and electronic form Environmental protection and contamination prevention Companies image and reputation Having a team to help continue the improvement and implementation of your program is vital to its success when needed. Your team should meet regularly to continue the development and focus of the program. Each individual will have their own role and responsibilities when disaster strikes, a proper preparedness program will identify these, insuring an accountable team to help in the recovery process. How do you know what to plan for? It's impossible to predict what the next disaster will be, but accounting f
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So here's how today started out... - Creative Safety - 0 views

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    So here's how today started out… We got an email from a guy who took issue with one of our recent infographics, 10 Astonishing Facts About Arc Flash. Here's what he wrote: "Have you seen the commercial for the insurance company that uses the premise "If it's on the the Internet, it must be true"? I have still not seen the source of these statistics. The Capschell report is what all of these websites, all of which involved in the business of Arc Flash for profit ($$$$), including yours, use without merit. […] Even NFPA 70E does not not cite the source of the statistic regarding "2000 injuries per day". Don't just give me another website that says that again, show me source (ie the study) that produces those statistics. I am not, by any means, attempting to reduce the importance of arc flash, arc flash studies or PPE. I just have a problem when companies use these types of statistics without regard to the source or veracity of the information. Fear Mongering is the term that come to mind. It's on the internet so it must be true." I believe whole-heartedly that our marketing team did a significant amount of research on Arc Flash prior to creating this infographic, and I don't believe the intent of our marketing team to promote or perpetuate bad information. However, I can understand this person's sentiment, and I wanted to know myself what the real numbers were. So, the hunt for accurate data began. Before I go further, it should be addressed that our infographic says that there are 2,000 injuries each year, not every day. Still, where did this figure come from? I started searching to uncover where the 2,000 injuries per year came from. I asked the marketing team for their source, and they provided me with the official NFPA 70E 2012 Handbook. In Annex K(3), it states plainly that 2,000 people a year are injured as a result of arc flash. But, as our accuser points out, there is no citation. Because this is NFPA, a standardization or
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ETAP, Electrical Engineering Software, Arc Flash Software, Arc Flash Labels - Creative ... - 0 views

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    If you are looking for ETAP arc flash Software, or if you're trying to compare Arc Flash software before you purchase, call us today. Find out how we can help you and your company get Arc Flash software and a label printer. With these equipment, you can print straight from ETAP onto vinyl industrial labels that last much longer than paper and have an industrial over-laminate for extra protection. ETAP 11.1 is a multi-lingual edition that comes standard with the following languages: English, Spanish, Portuguese, Japanese, Chinese and Russian. LabelTac Printer Other Arc Flash Software ETAP also has a new DC Arc Flash module offered with the ETAP software and is used to calculate the incident energy and determine the arc flash hazard levels for solar generation sites, substation battery banks, and nuclear plants. This module is compliant with NFPA 70E 2012 DC Arc Flash Analysis. For more information, cal 866-777-1360
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APIS ARE DEAD, LONG LIVE APIS - 0 views

  • We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution.
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    Modern, RESTful APIs are not considered standard, table stakes and expected out of any new project, effort, application, system, service or product. It has become so normal to talk about developer interfaces, developer adoption, application development and innovation in the same breath as APIs that a distinct effort to build APIs for a new product or service seems out of place and abnormal. APIs are the defacto standard of app development. So where do we go from here? We believe that APIs are about to enter the second growth spurt. APIs will evolve from not just interfaces and integration enablers into the rockets that propel enterprises towards innovation and market dominance. Here are three key trajectories that will lead the next API evolution and revolution. Innovation - Starts, and Ends with APIs All modern technologies such as Artificial Intelligence, Machine Learning, ChatBots, Analytics, BlockChain etc. begin and end their stories with APIs. APIs are what enables the communication between front-end user interfaces and the backend technology services. All new machine learning capabilities offered out of the big four tech companies have seen the light of day through APIs. Intent & Sentiment extraction, Topics, Categories, Summarization, Image Recognition, Entity Extraction etc. are all capabilities powered by Machine Learning, Natural Language Processing that is ultimately being delivered as APIs to application developers. Similarly, ChatBots are typically designed to get the user entered text, use an intent API to determine intent and then use a service API to respond to the user conversationally or with a service. Clouds - Multi-Cloud, Hybrid Cloud As the big three cloud providers grow their market share and attempt to attract attention, increasingly, enterprises need to think about how they minimize their risk by building in the flexibility to switch their cloud provider if and when they need. In addition, hybrid architectures or a cloud migration
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HAZWOPER Analysis - 5 Important Steps - Creative Safety - 0 views

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    The term HAZWOPER stands for Hazardous Waste Operations and Emergency Response Standard, and is a set of standards created by OSHA. These standards are specifically applicable to five groups of employers/employees according to OSHA, but they can also be used by many other facilities looking to improve their hazardous waste safety.
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What's in Dr Wallach Beyond Tangy Tangerine 2.0 ? - Youngevity Australia - 0 views

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    We've received the latest analysis of Dr Wallach's Youngevity Beyond Tangy Tangerine 2.0 nutritional supplement powder. Containing 87 of Dr Wallach's 90 essential nutrients, Tangy Tangerine Dr Wallach Youngevity Beyond Tangy Tangerine 2.0offers the best value nutritional supplement available worldwide. With the 60 essential minerals, 16 essential vitamins, 12 essential amino acids all in the correct balance to each other; is it any wonder that we get so many customers reporting noticeable improvements in their health within days or weeks? With careful selection of Non-GMO Certified Organic fruits and vegetables Beyond Tangy Tangerine 2.0 delivers the best, most complete nutrition money can buy.
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