Group items tagged Automation - Blog & Blogging..!!

Amazon Automation - Save Time & Grow Big With AMZ Automation - 0 views

cydomedia.com/amazon-automation

Amazon Automation

shared by cydo_media on 24 Nov 21 - No Cached

cydo_media on 24 Nov 21

Amazon Automation? You must be wondering how it's possible to see automation in amazon? No matter how much big your business is, automation is essential. Amazon business automation plays a vital role in automating the entire process with vibrant results.

<div class="cArrow"> </div><div class="cContentInner">Amazon Automation? You must be wondering how it's possible to see automation in amazon? No matter how much big your business is, automation is essential. Amazon business automation plays a vital role in automating the entire process with vibrant results.</div>

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AED & CPR - Creative Safety - 0 views

blog.creativesafetysupply.com/aed-cpr

blog creative safety AED CPR

shared by pintadachica on 23 Aug 18 - No Cached

pintadachica on 23 Aug 18

People today work 40+ hours per week, meaning they are spending about half of their waking hours at work. Given the total number of hours employees are spending at work, it is inevitable that some of them will experience serious medical problems while at the facility. When this happens, employers have a responsibility to be able to contact the paramedics right away, and to provide the initial care until professionals can arrive. In the event of respiratory or cardiac arrest, it may be necessary to perform CPR or even use an AED. Providing instruction to employees on how to use an AED, and how to properly perform CPR is essential. Some companies will offer the training to everyone in the facility, and others will only train a select few. The important thing is that there is someone who can respond to emergencies, and help keep the person alive until the paramedics can arrive. What is CPR? CPR, or Cardiopulmonary resuscitation, is one of the most commonly seen emergency procedures. It is performed on television all the time, and even in real life it is far more common than most people might think. While it might look easy to perform on TV, the fact is, it needs to be done with proper technique or it can cause a lot of damage. Fortunately, training people to properly perform CPR is fairly simple, and doesn't take very long. In many cases a full CPR class can be given in a half of a day, and the employees in the class can become certified to perform this life saving procedure. During the training classes, employees will learn when they should attempt CPR, and how it should be performed. Some interesting things that employees will learn include: CPR is done to help push the blood through the body when the heart is not beating. Keeping the blood circulating will prevent damage to the heart, brain and other vital organs. Rescue breathes are actually optional. While most people surveyed believe that breathing into the mouth of the victim is the most important part of

<div class="cArrow"> </div><div class="cContentInner">People today work 40+ hours per week, meaning they are spending about half of their waking hours at work. Given the total number of hours employees are spending at work, it is inevitable that some of them will experience serious medical problems while at the facility. When this happens, employers have a responsibility to be able to contact the paramedics right away, and to provide the initial care until professionals can arrive. In the event of respiratory or cardiac arrest, it may be necessary to perform CPR or even use an AED. Providing instruction to employees on how to use an AED, and how to properly perform CPR is essential. Some companies will offer the training to everyone in the facility, and others will only train a select few. The important thing is that there is someone who can respond to emergencies, and help keep the person alive until the paramedics can arrive. What is CPR? CPR, or Cardiopulmonary resuscitation, is one of the most commonly seen emergency procedures. It is performed on television all the time, and even in real life it is far more common than most people might think. While it might look easy to perform on TV, the fact is, it needs to be done with proper technique or it can cause a lot of damage. Fortunately, training people to properly perform CPR is fairly simple, and doesn't take very long. In many cases a full CPR class can be given in a half of a day, and the employees in the class can become certified to perform this life saving procedure. During the training classes, employees will learn when they should attempt CPR, and how it should be performed. Some interesting things that employees will learn include: CPR is done to help push the blood through the body when the heart is not beating. Keeping the blood circulating will prevent damage to the heart, brain and other vital organs. Rescue breathes are actually optional. While most people surveyed believe that breathing into the mouth of the victim is the most important part of </div>

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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!
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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

<div class="cArrow"> </div><div class="cContentInner">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</div>

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5 signs why your digital transformation might be in trouble - The AI Company - 0 views

www.autolearn.ai/...sformation-might-be-in-trouble

AI Company digital transformation learn cloud artificial intelligence

shared by pintadachica on 10 Nov 18 - No Cached

pintadachica on 10 Nov 18

Digital Transformation is tough, even for seasoned technologists. This is because it is a transformation of an organization at its core. Everything from culture, technology, ideation, development, integration, delivery, and support needs to fundamentally shift to be more customer-centric, service driven, automation first and experimental in nature. No wonder that a lot of organizations take a long time and a lot of investment to see ROI from their digital transformations. Here are 5 signs that your digital transformation might be in trouble. Culture mistrusts the core digital transformation team You are spawning new initiatives before completing previous ones Decisions are top down with low accountability at the leaf nodes You tend to focus on technology stacks with little focus on customer value Inter-organization politics stifles cross-organization scenarios Culture mistrusts the core digital transformation team It is almost impossible to make an entire organization aware and participate in digital transformation at the same time. There are exceptions but in our experience, starting out with a core digital transformation team is a much better strategy than otherwise. This team should be enabled to attack a limited set of important and business relevant problems, build cutting-edge solutions and use them as examples to train and evangelize digital transformation strategies to the rest of the organization. However, the more entrenched an organization in the old way of doing things, the harder they might this central team. Resistance can be active and passive such as refusal to share data or provide the relevant context of the problem. An organization that does not set up the early crusaders for success almost always has a much harder time showing value from their digital transformation activities. You are spawning new initiatives before completing previous ones Executing on a digital transformation strategy is much harder than defining the strategy especially fo

<div class="cArrow"> </div><div class="cContentInner">Digital Transformation is tough, even for seasoned technologists. This is because it is a transformation of an organization at its core. Everything from culture, technology, ideation, development, integration, delivery, and support needs to fundamentally shift to be more customer-centric, service driven, automation first and experimental in nature. No wonder that a lot of organizations take a long time and a lot of investment to see ROI from their digital transformations. Here are 5 signs that your digital transformation might be in trouble. Culture mistrusts the core digital transformation team You are spawning new initiatives before completing previous ones Decisions are top down with low accountability at the leaf nodes You tend to focus on technology stacks with little focus on customer value Inter-organization politics stifles cross-organization scenarios Culture mistrusts the core digital transformation team It is almost impossible to make an entire organization aware and participate in digital transformation at the same time. There are exceptions but in our experience, starting out with a core digital transformation team is a much better strategy than otherwise. This team should be enabled to attack a limited set of important and business relevant problems, build cutting-edge solutions and use them as examples to train and evangelize digital transformation strategies to the rest of the organization. However, the more entrenched an organization in the old way of doing things, the harder they might this central team. Resistance can be active and passive such as refusal to share data or provide the relevant context of the problem. An organization that does not set up the early crusaders for success almost always has a much harder time showing value from their digital transformation activities. You are spawning new initiatives before completing previous ones Executing on a digital transformation strategy is much harder than defining the strategy especially fo</div>

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Why Is Sentiment Such A Big Deal? - The AI Company - 0 views

www.autolearn.ai/...2017-8-3-sentiment

autolearn artificial intelligence AI company sentiment digital strategy technology

shared by pintadachica on 07 Jan 19 - No Cached

pintadachica on 07 Jan 19

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

<div class="cArrow"> </div><div class="cContentInner">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</div>

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Cracking the Growth Hacking Code: 5 Key Rules for Winning with Automated Digital Marketing - 0 views

bestercapitalmedia.com/...th-automated-digital-marketing

blog blogging creative marketing seo company digital AI wordpress

shared by bcm456 on 03 May 19 - No Cached

B2B Lead Generation Strategies in 2019 - Lead Generation | WritersEvoke - 0 views

www.writersevoke.com/-generation-strategies-in-2019

leadgeneration b2bleadgeneration leadgenerationstrategies

shared by Writers Evoke on 20 Jun 19 - No Cached

Writers Evoke on 20 Jun 19

With good results and strategic lead management, you can focus on your customers. This includes being better acquainted with these prospects, providing them with high-quality content and paying attention to the right timing, taking legal compliance into account. Find out how to generate more leads for sales in the future and how to automate B2B Lead Generation Strategies in 2019

<div class="cArrow"> </div><div class="cContentInner">With good results and strategic lead management, you can focus on your customers. This includes being better acquainted with these prospects, providing them with high-quality content and paying attention to the right timing, taking legal compliance into account. Find out how to generate more leads for sales in the future and how to automate B2B Lead Generation Strategies in 2019</div>

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5 Tools That Let You Post on Social Media Automatically - 0 views

contentberg.com/-on-social-media-automatically

socialmediatools 5tools automationtools Hootsuite Bufferapp Twitterfeed

shared by content-berg on 25 Nov 20 - No Cached

content-berg on 25 Nov 20

With social media maturing fast, there are abundant tools available that let you automate mundane tasks so you can focus on posting quality content.

<div class="cArrow"> </div><div class="cContentInner">With social media maturing fast, there are abundant tools available that let you automate mundane tasks so you can focus on posting quality content.</div>

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Blogging related posts - 1 views

Blogging related posts ProWritingAid Review 2020: Write Error-Free articles in your Blog 13 Best Websites to Check Your Blog Page Speed Performance Long Tail Pro Review: Best Keyword Rese...

Blogging

started by Satish Kumar Ithamsetty on 18 Feb 20 no follow-up yet

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