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Improvement: Make a Win-Win Situation for Both the Business and it's Employees - Creati... - 0 views

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    In the business world, there is a constant need and desire for improvement. It doesn't matter whether a business specializes in the market of rare auto parts or in making the best enchiladas. The plain and simple truth is that improving business practices to meet the ever-changing and diverse needs of society is essential to the success of any business endeavor. However, with all this change and improvement often comes a little struggle. Sometimes business processes are changed so radically that employees struggle with the changes if they are not adequately informed about what changes are taking place or how the changes actually benefit the specific process or end product. Furthermore, in some cases the problem is not with the employees at all, but instead embedded within the actual process changes. When looking into making improvement changes, it is important to really take the time to evaluate the changes fully to make sure that they are win-win for both the employees and the desired business objectives. Employee Involvement In the improvement process, there are often many things to consider especially such as metrics, data, resources, etc. However, it is important to make sure that employees are also considered within the grand scheme of things. There are times when businesses make essential changes that are needed to stay current with the changing times, but often neglect to involve the actual employees in the process of determining changes, or in the reasoning why specific changes were made. This can leave employees feeling a bit resentful and also leave processes lacking in certain important fundamentals. For instance, the top managers in a business make the decision to improve a production line within the factory because many of the machines were getting older and not handling the work as effectively as needed. In order to update the production line to new standards, new machines were installed and tweaks were made to previous processes in order to help
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Safety Lean Manufacturing - 5 Ways to Combine Safety and Lean - Lean Challenge - 0 views

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    Improving and Implementing Safety Lean Manufacturing Safety Lean ManufacturingWhen people look at facility improvement opportunities they often look at process improvement methodologies, such as Lean Manufacturing. Another thing that is commonly reviewed is facility safety improvements. In many cases, however, they don't see that using lean manufacturing techniques can often also provide safety improvements. Thinking about safety lean manufacturing will allow you to make improvements throughout your facility in a way that will not only reduce waste and increase profitability, but also help improve safety at the same time. The following are five examples of how lean can directly improve safety within your facility. According to DesignSafe's document on, Integrating Safety and Lean Manufacturing Safety must not be viewed as a separate activity that is a non value-added effort with objectives contrary to lean concepts. Elimination of waste can also be interpreted as the elimination or minimization of risk that adversely affects wasted human resources and lost time from injuries. Lean imperatives of faster, better, and cheaper must encompass the issue of running safer as well. Safety Lean Manufacturing - Top 5 ways to Combine Them 1. Eliminate Overproduction to Reduce Unnecessary Interaction with Machines Safety Lean Manufacturing OverproductionOne important focus for lean manufacturing is the elimination of over production. While this is mainly done to help eliminate waste, it will also make for a safer facility because people won't be working on the machines as much. Any interaction with the machine is an opportunity for an accident, so this is a good move for safety too. Look also at the fact that when people are spending more hours working at a machine, they are likely to be more fatigued, which increases the risk for accidents and injuries. 2. Listening to Employees Improvement Ideas One of the trademarks of a good lean manufacturing program is t
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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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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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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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Kaizen Continuous Improvement - Ten Tips - Creative Safety - 0 views

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    Ten Tips to Help You with Your Kaizen Continuous Improvement Strategy The Kaizen methodology encourages ongoing efforts to ensure continuous improvement throughout a facility. This improvement can come in many forms including waste elimination, improved efficiency, safer work environments and much more. To simply say that a facility is employing Kaizen strategies, is essentially meaningless if you don't have any concrete action items you are following. Whether you're just getting started or you are looking for ways to reinvigorate a Kaizen strategy that is not effective, the following ten tips will be very helpful. Each one can give you ideas on what you can do encourage improvement and allow that improvement to grow and expand long into the future. Tip #1 - Harness the PDCA Strategy One of the key concepts used in Kaizen is the "Plan-Do-Check-Act" strategy. This is a quality model that can be used when implementing any type of improvement in the facility. As you might expect, the PDCA strategy is a cycle of ongoing improvement that should never end. The steps are as follows: Plan - This step is where you identify an area where improvement is possible and make an initial strategy on what chance should be made to realize the desired improvements. Do - Implement the change, but only on a small scale. This may mean having one department make the change in some situations or for larger corporations, having one facility make the update. During this step it is also very important to be gathering as much data regarding the change so it can be properly evaluated. Check - Review the results of the change including the data that was collected. Looking to see if they had the desired impact or not is critical to know whether you should move forward with rolling the change out to other areas. Act - IF the data in the check step points to a success, it is time to push the change out on a wider scale. Once the change has been successfully implemented you wi
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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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Future Proofing for Agility - The AI Company - 0 views

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    A lot has been said about agility and the need for enterprises looking to innovate and disrupt to build agility. Agility, at the same time, also gets confused with the process of scrum. Small and large teams get enamored with the idea of scrum and mistake the process with the state of being agile. This is often more detrimental to the enterprise and can often create more process and not enough real agility. What is Agility Agility is the efficiency with which an enterprise executes and delivers on its objectives and goals. Agility is the ability to react to changes in goals, feedback from customers and shifts in strategy. Agility, from the outside, looks like a predictable stream of value delivered by the enterprise that matches and exceeds the needs of the customer. Organizational agility requires agility at multiple levels within the enterprise to drive the insights that can channel and align the efforts of the entire organization by leveraging data and information to make quick and informed decisions. Business Agility Business and customer-facing employees need to achieve "Business Agility". This is the ability of these employees to react to business critical in real time if needed and have access to the latest information at any decision point. Business Agility enables users to reduce the latency or lag between a need in the market or of the customers and when they are able to service the need. Decision Agility Analysts and data scientists creating the insights to drive decisions require "Decision Agility" i.e the ability to easily discover, leverage and use data for analytics and insights through any and multiple tools and channels. Analysts and data scientists need to produce insights that reduce the time and effort required to convert data into information and insights that are required to drive key decisions and actions. Development Agility Application developers and data engineers need the ability to easily generate, collect, access and deli
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Lean Supplies Chain Management for Companies - Creative Safety - 0 views

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    Lean systems are meant for producing the best products and services with little or no wastage of various kinds of resources. Lean supply chain management purports to create a well designed supply chain management system where all the resources are effectively utilized. The people, processes, technologies and suppliers will be optimized at the beginning of the implementation and it will be an ongoing process. The best of the best features will be implemented and there will be no room for waste. Lean supply chain helps companies deliver high quality products quickly and efficiently. What is expected from lean supply chain management? In fact, lean supply chain management is a new way of thinking to understand the supplier networks. It is required to have cooperation with various suppliers and should be able to balance it with the competition present in the market. There is a great deviation between lean supply chain management and traditional methods. There will be less number of structures in lean model whereas they are more in traditional systems. Most of the lean supply chain management principles are derived from the basic lean principles. How companies will be benefited by the lean implementation? By implementing lean methods in a systematic way, companies will be benefited to the greatest possible extent. The winning business strategy realizes the importance of the relation between the supply chain management and the overall financial status of the company. By streamlining the supply chain management with all the other core aspects of the company, the business will emerge into a profitable enterprise and will be able to deliver cutting edge solutions. Strategy for lean supply chain management In order to implement the lean supply chain management in an effective manner, it is required to build the core infrastructure and should be collaborated internally and should be executed externally as well. The next step would be the selection of the right kind of
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Are Youngevity Products Too Expensive? - Youngevity Australia Distributor - 0 views

  • Are Youngevity Products Too Expensive?
  • So, if you want to ensure that your financial investment in nutritional supplements is actually able to be utilized by your body, and contains only pristine life supporting nutrients, Dr Wallach’s 90 for Life pack delivers exceptional value.
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    We hear this comment occasionally from customers, but the important thing to consider is what are they comparing our products with to make this comparison? Let's have a look…. What are you actually getting when you purchase Youngevity's core 90 for Life Healthy Start pack?90 for Life pack Vitamins that are "grown" from certified organic fruits and vegetables, rather than vitamins produced synthetically in a laboratory. Youngevity grows specific crops in mineralized soils to reap the particular vitamins they include in the Tangy Tangerine and OsteoFX products. Unlike synthetic vitamins, the body rapidly absorbs and uptakes these plant-derived and natural vitamins. They come as nature intended us to have them, complete with enzymes, natural fiber (prebiotics), and probiotics. As such the body can easily utilize them. Plant Derived Minerals, rather than rock-based minerals. Humans were not intended to eat rocks whether crushed or whole! The only way we can readily absorb minerals is after plants have uptaken the rock minerals from the soil and through photosynthesis converted those minerals into many times smaller particles that easily pass through the human cellular structure. These Plant Derived Minerals used in Tangy Tangerine and OsteoFX are typically around 98% absorbable whereas rock-based minerals are at best about 8% absorbable. If you're considering product cost you would have to factor in the cost of 92 cents of every dollar you spend on supplements with rock-based minerals are being flushed down your toilet bowl. Careful production methods are used to ensure maximum nutrient value is retained, and preservatives are not required. Youngevity uses a slow spinning, low heat process to convert the fresh fruit and vegetables in the Tangy Tangerine 2.0 powder and OsteoFX powder formulations which, over many hours, produces the microcrystalline powders in these 2 products. The low heat means vital plant elements such as prebiotics and probiotics are
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How To Verify YouTube Account | YouTube Verification - 0 views

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    The process to verify YouTube account is indeed a time-consuming process, but the hassle is worth the time! On YouTube, the verification process enables the users to upload videos that are longer than 15 minutes and customize the video thumbnails for your channel. YouTube Manager is responsible for managing the video content
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The 7 Steps Involved In Animation Process - TheOmniBuzz - 0 views

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    Animators follow a set of actions to engage the audience with their content and create impressive videos. Still, for this, they need detailed guidance on animation principles to integrate them into the videos they're making & animating. In this short blog, we will discuss the top 7 steps necessary for making an impressive animated video. If you wish to read more about the animation process in detail, we have a detailed guidance blog available on our website for you!
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Beware of Technology Congestion - The AI Company - 0 views

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    Technology Congestion is a not a recent phenomenon but the urgency around Digital Innovation and Digital Transformation has brought it front and center. Technology Congestion is a point in the Digital Journey where multiple technology initiatives, executed in parallel become entangled with each in a state where none of the initiatives, hampered by inter dependencies, prioritization, and cost, is able to complete, make progress and deliver business value. Modern Experiences Require Multiple Technologies Building a consumer driven, customer centric experience that truly delights and moves business KPIs requires several technologies to come together in almost a magical experience. This means that not on boarding and deploying multiple technologies is not an option or possibility. Enterprises have to build competencies in multiple technologies (and they have multiple strategic options to do so) and this can be a daunting task. Managing Technology Dependencies Often, an app-centric methodology requires a complete focus on the user and customer's experience. Delivering that experience can requires technologies that leverage each other or are inter-dependent on each other. Inter-dependencies can be sequential i.e. Technology A is required to be installed and operational before Technology B can be initialized. Inter-dependencies can also be matrixed i.e. a service X might require service Y to be complete and Service Y requires Technology B. Inter-dependencies can also be circular where System M feeds information into System N and System N, in turn, provides feedback to enable System M to iterate and improve. Innovation To A Screeching Halt Technology congestion can stall innovation. Sorting out dependencies can delay innovation and new product development and cause the enterprise to become anti-app-centric. The net impact is lost time and energy in technology installation and deployment with less than ideal focus and attention on customer value and user experience.
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Is A Private Blockchain the way to go? - The AI Company - 0 views

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    Blockchain are certain to disrupt almost all industries fundamentally. Though there are technical issues, the idea of utilizing a blockchain to prove ownership, to prevent double spending and to establish trust and transactions in an otherwise trust-deficient world, is gaining excitement and acceptance. More and more enterprises are getting curious about the blockchain and are willing to start investing in learning, prototyping, and building on top of the blockchain technology. Starting out with the blockchain requires investment in a building the domain expertise, establishing the identity, establishing the infrastructure and deciding the blockchain that the enterprise wants to work with. Among these decisions is the question: Should the enterprise choose a public blockchain or a private blockchain. Both have advantages and disadvantages and the question can often come down to what are the short term goals and potential applications that the enterprise wants to build on the blockchain. Public BlockChains The default option when considering blockchains is the public blockchain. This is the blockchain that is truly decentralized, leverageable for any type of transaction and in the case of the Ethereum blockchain, offers SmartContract authoring capability that makes the blockchain very attractive for building contracts that reflect the needs of the real world. However, for an enterprise deciding between public or private contracts, there are some considerations that require attention. Speed and Scalability Public blockchains tend to be slower as they are limited by the number of transactions that can be verified every second and confirmed every 10 minutes. There are several efforts underway to make blockchains faster and more scalable however those will take time to get implemented. Speed and scalability will continue to be an issue and contracts and applications that require instant or near real time execution will suffer from this lack of speed and scale. Se
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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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6 Ways Lean IT Can Help Enterprises - Creative Safety - 0 views

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    Lean has been helping companies streamline their production, eliminate waste, and generally improve the way things are done for many years. Initially, the concepts behind lean were primarily used only in companies and facilities that were directly involved with physical product creation, such as manufacturing plants, factory floors and things of this nature. However, over time the lean methodologies have been adapted and implemented in almost every other type of business, ranging from health care to information technology, and many more. When done properly, lean can help improve virtually any work environment to help eliminate waste, improve communication, and to help ensure that the products or services being developed are indeed something customers will be interested in. For instance, when working in an information technology environment, it is important to be able to understand how lean strategies can be implemented, and why they are so important. The following are some of the most significant reasons why lean IT strategies should be taken seriously by any company that uses technology in their business (which is almost all of them!). Lean Promotes Ownership One of the things about lean strategies in an IT environment is that virtually every task completed is owned by an individual. Even if a person does not do all the work for a particular project, he or she will be directly responsible for overseeing it. This creates a sense of ownership, which can help in a variety of ways. It will give other teams a single point of contact for obtaining updates, providing feedback, or requesting changes. This will also allow the owner of a specific project to drive the progress directly, rather than having to rely on large committees or other types of groups to receive pertinent information. It is important to note that just because one person owns a process or project does not mean that he or she can simply dictate things to other groups. Instead, that person is there to
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What We Can Learn From Lean Project Tracking Software - 0 views

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    Tips & Tricks for Efficiently Tracking Lean Projects Recently, we wrote about a couple of problems facing many Lean practitioners. These were problems that hindered their learning process and often caused overconfidence. Amongst the advice to help combat these problems arose the need for detailed tracking and note taking with regards to practice and progress. Being able to accurately track not only the effects but also the process of a Lean project is critical to ongoing success, and is a key to stimulating growth amongst not only the receiving end of your project objectives, but also amongst the employees and Lean practitioners themselves. To start off, let's take a look at the current state of Lean project tracking for many Lean practitioners. A recent LinkedIn discussion posed the very question of project tracking, and sought to understand a few different distinct metrics. In addition to measuring the effectiveness of any program when it comes to completion, tracking can also be about measuring the scope of your projects, so that you can accurately project what the effects will be before you actually reach the stage at which you expect them. Part of this "scope" involves tracking exactly who is involved with your project, who is affected, and how they are progressing in their respective tasks. Where we are now First of all, it's important to evaluate the current methods that are prevalent in Lean record keeping. The LinkedIn discussion starter, self-identified as Ian R., mentions in his opening post that, when he last posed the question about a year ago, the consensus was that most practitioners were simply using excel spreadsheets for their tracking needs. While there's nothing wrong with relying on Excel for the basics, other users were quick to offer up some slicker alternatives, signaling a sharp (and welcomed, in our book) departure from some of the more basic methods. Unsurprisingly, there exist several specialist software applications whose n
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Risk Management Webinar from EtQ on October 10, 2012 - Creative Safety - 0 views

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    Farmingdale, NY based risk management company, EtQ, and moderator Quality Digest are presenting a risk management webinar on October 10, 2012 episode of Quality Digest Live at 11:00 a.m. Pacific Daylight Time. EtQ's company website is dedicated to creating quality risk management solutions, and has this to say about its stance on its software products: EtQ's Quality Management Software is an integrated quality and compliance management software system that has been pre-configured to specifically address the needs of the Manufacturing industry and ISO 9000 processes. The webinar on Wednesday offers proactive information and ideas to professionals saddled with risk management duties in their company. The webinar is slated to tackle such lofty goals as to demonstrate how to successfully implement risk management as a strategy - not only as a "post-production event," in which best practices application risk factors can be assessed and targeted not only toward processes, but also to products.
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Help Your Business GO LEAN! - Creative Safety - 0 views

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    These days you may be hearing a lot talk regarding "going lean" and "implementing lean practices," what does this truly mean? When a company implements lean practices they are essentially looking at all areas within the company, evaluating processes, searching for new ways to streamline and improve current processes, all while striving to create a better and more efficient product or service. Even though the implementation of lean practices is a significant undertaking it is well worth the effort with added benefits in production, efficiency, and cost savings.
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The Long & Short Of An AI Strategy - The AI Company - 0 views

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    Much has and needs to be said about an enterprise's AI strategy. Artificial Intelligence or AI is considered a fundamentally disruptive technology similar to the steam engine, electricity etc, a technology that will be pervasive and absolute in its impact on the world and its inhabitants. The ability to find hidden patterns to predict the future or detect a behavior has massive implications across the world, in every industry, sector, and domain. When faced with this realization, enterprise's can find themselves stuck, paralyzed and unsure about how to proceed. The field of AI is decades old already and the early success stories have been practicing AI for multiple years already with the tech industry leading the way. How can an enterprise that has no experience and competency in this area let alone lead the technology or even leverage it appropriately to drive business value? When developing the AI strategy, two ideas are paramount. First, this a fundamentally disruptive technology and the enterprise will need to establish it as a core competency for the foreseeable future. Not doing so will not be an option. Second, a long-term plan to success is superseded by the need to drive quick wins and small successes not only to build confidence but use real-world experience to develop and hone that skill. The Short-Term AI Strategy The short-term AI strategy should focus on driving immediate business value through enhanced customer experiences that leverage any field of AI be it machine learning, deep learning, natural language processing etc. Driving the usage and deployment of AI in front of an end user making them smarter, productive and better informed can pay rich dividends by not only helping the enterprise can real-world experience, but it can also give a perception boost to the company as being innovative and cutting edge. However, most importantly, this can highlight and promote the success and potential of AI in the enterprise and encourage a snowball eff
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