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Are you worried about the quality of your data? - The AI Company - 0 views

www.autolearn.ai/...about-the-quality-of-your-data AI company autolearn Business innovation technology digital journey strategy data transformations
shared by pintadachica on 20 Dec 18 - No Cached
  • pintadachica on 20 Dec 18
     
    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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Are You Leaving Money On The Table And Why A Monetization Strategy Is Key - The AI Company - 0 views

www.autolearn.ai/...you-leaving-money-on-the-table artificial intelligence autolearn innovation technology digital strategy enterprises monetization
shared by pintadachica on 07 Jan 19 - No Cached
  • pintadachica on 07 Jan 19
     
    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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What is a VPN, ExpressVPN Features, Pricing and FAQs - WinErrorFixer - 0 views

winerrorfixer.com/svpn-features-pricing-and-faqs VPN Apps Network Internet Mobile Computer
shared by rasel136 on 22 Dec 20 - No Cached
  • rasel136 on 22 Dec 20
     
    VPN, i.e., Virtual Private Network, establishes a secure connection to public and private networks over the Internet. VPN helps to protect your identity and provides a secure network for accessing data. Initially, the VPN connects business networks securely over the Internet. It also allows you to access a business network from home. What is a VPN? How does it work? Why should you use it? These are some common questions that come in the mind of every person who wants to use a VPN. So, let's find out the answer to all these questions. Contents [show] How Does a VPN Work? How Does a VPN Work It is not rocket science to understand how a VPN works. We can simply learn the process of VPN by reading the following steps. Step 1: At first, you need a reliable VPN provider (ExpressVPN Recommended). Then download and install the software. Now select the preferred security settings and set up a safe connection with your desired VPN server. Step 2: After the connection is established; VPN software encrypts your data traffic on your computer and sends it to the VPN server through a secure connection. Step 3: The VPN server decrypts the encrypted data from your computer. Step 4: Your data is being sent on the Internet by the VPN server and receive a reply, which is meant for you. Step 5: This traffic is again encrypted by VPN-server and is sent back to you. Step 6: VPN software will decrypt the data on your device so you can understand and use it. Why ExpressVPN is the Best? The best thing I like about ExpressVPN is that it has a no-logging policy. Apart, from this ExpressVPN is fast, secure, and keeps your IP hidden. ExpressVPN allows you Torrenting/P2P and even works with Tor for the maximum level of privacy. It has a user-friendly interface and a great design that is easy to operate. ExpressVPN uses the government-grade encryption method as default. You can even try doing it manually. ExpressVPN is the best excellent premium VPN service to trust and work.
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So here's how today started out... - Creative Safety - 0 views

blog.creativesafetysupply.com/so-heres-how-today-started-out creative safety blog
shared by pintadachica on 01 Aug 18 - No Cached
  • pintadachica on 01 Aug 18
     
    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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To be AI-first, move beyond managing data infrastructure - The AI Company - 0 views

www.autolearn.ai/...d-managing-data-infrastructure Auto Learn Artificial Intelligence Ai Company First
shared by pintadachica on 10 Nov 18 - No Cached
  • Unfortunately, the past few years, driven by the big data hype, have encouraged enterpris
  • pintadachica on 10 Nov 18
     
    Success with AI is heavily influenced by the data maturity of an organization i.e. their ability to procure, clean, curate, store and analyze data to power value generating applications. A data-mature enterprise know what data it has, knows what the data means and can ensure that the data is accessible to whoever needs it. Unfortunately, the past few years, driven by the big data hype, have encouraged enterprises to focus on updating their data infrastructure to leverage new big data technologies. With a lot more data now available, enterprises already stuck with massive data storage costs, are being forced to choose between storing data that might eventually be useful for stabilizing, if not reducing their storage costs.
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Do you have a complete, comprehensive, single version of the truth about your business?... - 0 views

www.autolearn.ai/...-the-truth-about-your-business autolearn business technology innovation tech digital strategy blockhain data
shared by pintadachica on 20 Dec 18 - No Cached
  • pintadachica on 20 Dec 18
     
    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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Are You Prepared To Be A Digital Organization - The AI Company - 0 views

www.autolearn.ai/...d-to-be-a-digital-organization digital company autolearn AI Artificial intelligence
shared by pintadachica on 18 Jan 19 - No Cached
  • pintadachica on 18 Jan 19
     
    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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Future Proofing for Agility - The AI Company - 0 views

www.autolearn.ai/...2017-8-30-thoughts-on-agility Proofing agility Ai Company autolearn artificial intelligence strategy digital
shared by pintadachica on 11 Nov 18 - No Cached
  • pintadachica on 11 Nov 18
     
    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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The GHS and You - 5 Big Changes - Safety Blog and News - Informing the Working Communit... - 0 views

www.safetyblognews.com/the-ghs-and-you-5-big-changes safety blog news
shared by pintadachica on 14 Sep 18 - No Cached
  • pintadachica on 14 Sep 18
     
    The GHS and You - 5 Big Changes April 10, 2014 by Tony Ferraro If your workplace handles chemicals, particularly as the initial producer or as a distributor to clients, it's time to familiarize yourself with the global harmonization system (GHS) of classification and labeling chemicals, or the GHS, for short. What is the GHS? The GHS, first proposed to the United Nations in 1992, is an attempt at bringing some uniformity to the chemical labeling procedures of the developed world. Member nations, based upon their own time-frames, signed on to promise to convert to the GHS method of labeling chemical substances by a certain date. The idea was and still remains to make international business and production easier by having chemical labeling procedures that wouldn't slow down import and export, and would be easy for everyone involved to understand. This also greatly reduces transport costs as materials aren't having to be re-labeled or re-inspected as they cross borders. Last, but certainly not least, the GHS protects workers by ensuring the risks of handling any given material are clearly stated in an easy to understand manner from the beginning. According the UN's publishing of a GHS guide, the following are succinct statements of the GHS' most important goals: Defining health, physical and environmental hazards of chemicals: Creating classification processes that use available data on chemicals for comparison with the defined hazard criteria; and Communicating hazard information, as well as protective measures, on labels and Safety Data Sheets (SDS). OSHA.gov - GHS What does this mean for me? In the United States, the time-frame for adoption is staggered over several stages. On March 2012, the final rule for how workplaces should adopt their policies was published, and employees were required to be trained on these new procedures by December 1, 2013. Interestingly enough, the adoption of the standard by product manufacturers is not required until Ju
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Beware of the integration! - The AI Company - 0 views

www.autolearn.ai/...-7-4-beware-of-the-integration autolearn artificial intelligence products technology AI company tech innovation integration software digital strategy
shared by pintadachica on 13 Dec 18 - No Cached
  • pintadachica on 13 Dec 18
     
    Enterprises have to constantly decide, at every step in their digital journey, should they build or buy. This question often is posed as a critical, do or die decision and the answer varies on a case by case basis. Building can be expensive, take longer but offers future proofing and more dependability whereas buying offers a faster time to market, less risk and accountability forced through contractual terms. However, a key point often overlooked is the cost of integration. Integration can be required at multiple levels. Vendor Applications Vendor applications typically require a two-way connection between the enterprise systems and the vendor application. The application requires incoming data and information from somewhere in the enterprise technology stack and an output stream of information back into the enterprise at one or more points in the stack or workflow. Vendor Platforms Vendor provided platforms typically have similar integration requirements as Vendor applications requiring an incoming data & information connection and an outgoing information connection into the enterprise process, workflow, platform or product. Application-To-Application Application to Application integrations where an application needs to be connected to another application to either provide data or signals to enable the downstream application to create value can be seemingly deceptive. Application-To-Application integration costs can grow at O(n^2) as potentially, worst case, each application could be connected with every other application. Enterprise Stack Fragmentation The problem of integration is exacerbated by the fragmentation of the enterprise at the organization level. This problem is also known as "Shadow IT" is driven by superficially differing needs of multiple lines of businesses in an enterprise. Shadow IT typically leads to multiple instances of similar technology stacks that cause data, compute and information to be silo'd. Stack fragmentation and its
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Skateboarding, The AI Company and the Autolearn Boost - The AI Company - 0 views

www.autolearn.ai/...en-skateboarding-autolearns-ai artificial intelligence innovation technology digital strategy AI company
shared by pintadachica on 09 Jan 19 - No Cached
  • 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!
  • pintadachica on 09 Jan 19
     
    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

blog.creativesafetysupply.com/ontinuous-improvement-ten-tips kaizen tips safety creative safety
shared by pintadachica on 26 Aug 18 - No Cached
  • pintadachica on 26 Aug 18
     
    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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6 Ways Lean IT Can Help Enterprises - Creative Safety - 0 views

blog.creativesafetysupply.com/ways-lean-can-help-enterprises lean ways blog creative safety
shared by pintadachica on 01 Aug 18 - No Cached
  • pintadachica on 01 Aug 18
     
    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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5 Privacy Risks You Might Not Know About - Latest Hacking News - 0 views

latesthackingnews.com/...risks-you-might-not-know-about VPN Privacy Technology cybersecurity Hackings
shared by rasel136 on 21 Dec 20 - No Cached
  • rasel136 on 21 Dec 20
     
    There's no doubt about it, we're surrounded by technology and submit to an awful lot of data collection in return for the convenience factor. Even those of us who consider ourselves tech-savvy and try to keep track of our digital privacy can slip up from time to time. Here are five privacy risks you may not know about and five solutions. Incognito mode is not secure, or private A common assumption is that using a browser's incognito mode means any activity is untracked and hidden. That's not the case, incognito mode merely means your search history is not kept with your standard search history. Solution: VPN encryption Use a VPN to secure connections and effectively hide your internet activity, including your IP address. Google is tracking your purchases It may produce the world's most powerful browser, but Google has a lot to answer for when it comes to online privacy. The tech giant's email client even retains your purchase history. Solution: Stop using Chrome and Gmail The only real way to avoid Google's long and all-pervasive reach is to avoid all of their products. Ditch Chrome, Gmail, Docs, Sheets, and everything Google produced. If that's a step too far for you, try and delete your purchase history (https://myaccount.google.com/purchases) although, that's easier said than done. Free VPNs sell your data Users may think they're being clever and retaining their privacy by using a VPN at all times. However, if you're using a free VPN you're risking your data being used as a commodity. Many free VPNs collect then sell your information. Solution: Switch to a secure paid service Using a paid and trustworthy VPN can guarantee the security of your information. Risk: Google "skim-reads" your emails This well-documented practice has been happening for some time. Google's algorithms skim email messages for information about purchases, trips, flights, and more. Solution: Switch email clients The only real solution here is to avoid Google acro
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Not too late to jump on Blockchains - The AI Company - 0 views

www.autolearn.ai/...oo-late-to-jump-on-blockchains autolearn technology digital strategy data business AI company design blockhains
shared by pintadachica on 20 Dec 18 - No Cached
  • pintadachica on 20 Dec 18
     
    It's not too late to jump on to the Blockchains trend. We often hear from customers whether it is too late to get behind blockchain. The number of startups in this space is growing rapidly and the number of large ISVs and SIs providing blockchain capability and expertise is also increasing. However, the market and the technology space for blockchains is far from saturated, settled or stable. Here are three reasons why now is a good time to get into blockchains Early Mover Advantage Blockchains are bound to disrupt fundamentally how business is done. By enabling trust in an otherwise trust-deficient environment, blockchains enable transactions between two or more enterprises who otherwise might not know about each other. Blockchains offer solutions to several common problems faced by the enterprise such as Digital Identity, Secure Data Storage, Secure Data Sharing, Distributed Ledger, Distributed Databases etc. Blockchains are based on strong cryptographic standards based in mathematics, cryptography, and encryption. Building blockchains as a core competency requires a deep understanding of the mathematics behind it and an internal process for deploying, managing and developing on top of the blockchain. Early mover advantage can be generated by taking small steps in this area and targeting simpler scenarios initially. Nascent Technology It is going to take another few iterations of the blockchain technology before it can truly be enterprise-ready. There is a lot of ongoing work to make blockchains more secure, scalable and performant. Innovations are constantly being made and added to the core blockchain technology that is constantly increasing the type and complexity of applications that it can support. As the technology matures, enterprises can be well suited and ready to leverage the advancements by building a core competency in not only the blockchain technology but by becoming a member of the blockchain community, standards and keeping up to date with th
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10 Best JavaScript Data Visualization Libraries You Should Know - 0 views

cydomedia.com/javascript-data-visualization Top 10 Best JavaScript Data Visualization Libraries
shared by cydo_media on 26 Oct 22 - No Cached
  • cydo_media on 26 Oct 22
     
    When it comes to data visualization, there are a lot of technologies that you can use. However, we will discuss the Top 10 Best JavaScript Data Visualization Libraries.
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Is A Private Blockchain the way to go? - The AI Company - 0 views

www.autolearn.ai/...ivate-blockchain-the-way-to-go autolearn artificial intelligence innovation technology AI company software blockhain design
shared by pintadachica on 13 Dec 18 - No Cached
  • pintadachica on 13 Dec 18
     
    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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Arc Flash Analysis Software - Creative Safety - 0 views

blog.creativesafetysupply.com/arc-flash-analysis-software arc flash safety blog creative safety
shared by pintadachica on 18 Jul 18 - No Cached
  • pintadachica on 18 Jul 18
     
    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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The road to Digital Transformation is long, unpaved and full of dangers - The AI Company - 0 views

www.autolearn.ai/...ng-unpaved-and-full-of-dangers Artificial intelligence AI company autolearn innovation technology
shared by pintadachica on 13 Feb 19 - No Cached
  • pintadachica on 13 Feb 19
     
    Digital Transformation has become a necessity for enterprises in every vertical, sector and industry. Software is indeed eating the world and there is no industry that cannot ignore the burning necessity of transforming to a software driven organization. However, the road to digital transformation is long, unpaved and full of dangers. It is a road that most enterprises that are embarking on it have never encountered. These organizations realize that their ultimate survival depends on navigating this road but are hesitant, unsure and scared because this transformation requires competencies, culture and an approach that is alien and unknown. Though, traditional IT departments have always been part of such organizations, they have always been looked upon as plumbing that ultimately is only relevant in the background to keep the lights on. Faced with impending doom, organizations have no choice but to rethink their IT. This is not simply an initiative in the IT team. CEOs and CFOs need to rethink what and how software can and will disrupt their companies. Business and IT need to come together to have a joint software driven experience strategy and needs to be prioritized by the CEO and funded, for the long term by the CFO. Do you need to think about a Digital Transformation strategy? If you answer YES to any of the questions below, you should. Are your teams, data, and systems fragmented? Are your key processes fragmented, manual? (for example, Onboarding, Decision Making, Incident Management, Support) Is your data of low-quality data (customer profile, transactions, glossary, documents) Is your regulatory compliance inconsistent and more a matter of luck than planning? Could your customer relationship, lifecycle, performance management be better? Could the information flow in your organization be matured? Do you have a weak understanding of internal and external events and how they impact your business?

How To Earn Money Online for Students without investment? - 0 views

started by kedarsingh1991 on 25 Jun 23 no follow-up yet
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