LoseIt, as the name suggests, puts emphasis on losing weight. Based on your current and target weight, height, gender and desired pace of weight loss, it assigns you a daily budget for your food intake. You can scan barcodes to log meals and calculate how many calories you have burnt from a session in the gym.  The app displays green and red bars to indicate which days you hit your goals or overindulged, allowing to track your weight loss journey. LoseIt has a community forum where you can share your favorite meals and enter challenges to keep you motivated.


Monitoring apps can provide a wealth of information about your home, from the status of the current moment to a detailed history of what has happened up to now. You can check your security system’s status, whether the lights are on, whether the doors are locked, what the current temperature of your home is and much more. With cameras as part of your home automation system, you can even pull up real-time video feeds and literally see what’s going on in your home while you’re away.

A process automation or automation system (PAS) is used to automatically control a process such as chemical, oil refineries, paper and pulp factories. The PAS often uses a network to interconnect sensors, controllers, operator terminals and actuators. A PAS is often based on open standards in contrast to a DCS (distributed control system), which is traditionally proprietary. However in recent times the PAS is considered to be more associated with SCADA systems.

COOs initially bought RPA and hit a wall during implementation, prompting them to ask IT’s help (and forgiveness), Viadro says. Now "citizen developers" without technical expertise are using cloud software to implement RPA right in their business units, Kuder says. Often, the CIO tends to step in and block them. Kuder and Viadro say that business heads must involve IT from the outset to ensure they get the resources they require.
Another variation of this type of test automation tool is for testing mobile applications. This is very useful given the number of different sizes, resolutions, and operating systems used on mobile phones. For this variation, a framework is used in order to instantiate actions on the mobile device and to gather results of the actions.[9][better source needed]
You need collaboration and extensive automation to achieve Continuous Delivery. According to Fowler, the rewards of doing so successfully include reduced risk, believable progress, and user feedback. Continuous Delivery is an important method in Agile development. It helps remove obstacles that prevent the frequent deployment of features. Automation testing is a fundamental part of the continuous development practice associated with Agile.  
Even if you hate cleaning, shelling out several hundred dollars for a robot vacuum can seem a little extravagant. But at $229, the Ecovacs Deebot N79S is relatively affordable, and offers more for the price than any other vacuum we've tested. In addition to long battery life and manual steering, it supports features we typically see in far more expensive models such as app control and Amazon Alexa compatibility. It also delivers a stronger clean than other vacuums we've tested in this price range.
Implementation: During this phase, set up and customize the technology. If necessary, extend the current IT systems with specialized plugins and add-ons. At this time, documentation is critical, and you should record each and every functionality. You should also implement administrator and select end-user training, followed by end-to-end and user-acceptance testing to determine feasibility before the next phase.
As a spiritual practice, yoga has been in existence for more than 2,500 years. But in strictly financial terms, Chip Wilson’s 1997 session may have been the most consequential yoga class in world history. In the past two decades, Lululemon has sparked a global fashion revolution, sometimes called “athleisure” or “activewear,” which has injected prodigious quantities of spandex into modern dress and blurred the lines between yoga-and-spin-class attire and normal street clothes. According to one survey, the share of upper-income teenagers who say that athleisure stores like Lululemon are their favorite apparel brands has grown by a factor of six in the past decade. (Incongruously, athleisure has grown in popularity among teens at the same time that American youth sport participation has declined significantly.)
No one actually knows how AI and advanced automation will affect future job opportunities. Predictions about what types of jobs will be replaced and how fast vary widely. One commonly cited study from 2013 estimated that roughly 47 percent of U.S. jobs could be lost over the next decade or two because they involve work that is easily automated. Other reports—noting that jobs often involve multiple tasks, some of which might be easily automated while others are not—have come up with a smaller percentage of occupations that machines could make obsolete. A recent study by the Organization for Economic Cooperation and Development estimates that around 9 percent of U.S. jobs are at high risk. But the other part of the employment equation—how many jobs will be created—is essentially unknowable. In 1980, who could have predicted this decade’s market for app developers?
More CIOs are turning to an emerging technology practice called robotic process automation (RPA) to streamline enterprise operations and reduce costs. With RPA, businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work. Others see RPA as a stopgap en route to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs.
This is a more fun way to keep track of the food you eat. MealLogger is a photo food journal which helps you keep yourself accountable by sharing a photo of your meal with others. It is a unique app that connects you directly with a health professional, usually a registered dietitian. You snap a photo of what you eat, add a brief description and upload it to your account. The nutrition coach will then review your meal online, providing advice and guidance to improve your diet. Having a pictorial evidence of how you’re feeding yourself, is a great way to maintain proper portion sizes and can help to stop overeating and snacking.
Testim.io leverages machine learning for the authoring, execution, and maintenance of automated test cases. We use dynamic locators and learn with every execution. The outcome is super fast authoring and stable tests that learn, thus eliminating the need to continually maintain tests with every code change. Netapp, Verizon Wireless, Wix.com and others run over 300,000 tests using Testim.io every month.
If stepping aside is your strategy, you need to focus on your uncodifiable strengths, first discovering them and then diligently working to heighten them. In the process you should identify other masters of the tacit trade you’re pursuing and find ways to work with them, whether as collaborator or apprentice. You may have to develop a greater respect for the intelligences you have beyond IQ, which decades of schooling might well have devalued. These, too, can be deliberately honed—they are no more or less God-given than your capacity for calculus.
This page is NOT designed to tell you what software testing tool is “best” (disclaimer: we’re a software testing tool vendor, so we are obviously biased).  Rather, we aimed to compile the ultimate list of software testing tools lists—so you can rapidly research the available options and make your own decision on what software testing tools you want to evaluate.
“I don’t understand why people would think it’s unethical,” Woodcock says. “You use various tools and forms of automation anyway; anyone who works with a computer is automating work.” He says if any of these coders had sat in front of the computer, manually inputting the data day after day, they’d never be reprimanded. But by demonstrating that they’re capable of higher levels of efficiency, some may, perversely, feel like they’re shirking a duty to the companies that employ them. This is perhaps why automating work can feel like cheating, and be treated as such by corporate policy. On Amazon Mechanical Turk, the tech company’s marketplace for microwork, automation is explicitly against its terms of service—and the gig workers like those on the platform, who labor for cents per task, could stand to benefit from automation most of all.
The truth is, business will become less and less reliant on humans to do mundane, repetitive tasks. Automation will take over and we will be able to use our minds and our creatively ability to make a difference in business and ultimately the world. We will be able to create more, innovate more, and achieve more when we have more time to focus on other things. I can’t wait to see how the creatives, composers, and coaches thrive in the future. Rather than titles, it will be these categories that best setup individuals for long term success. Begging the question, what category do you think you will fall under?
Automated testing or test automation is a method in software testing that makes use of special software tools to control the execution of tests and then compares actual test results with predicted or expected results. All of this is done automatically with little or no intervention from the test engineer. Automation is used to to add additional testing that may be too difficult to perform manually.

But if test automation is so limited, why do we do it in the first place? Because we have to, there is simply no other way. Because development adds up, testing doesn’t. Each iteration and release adds new features to the software (or so it should). And they need to be tested, manually. But new features also usually cause changes in the software that can break existing functionality. So existing functionality has to be tested, too. Ideally, you even want existing functionality to be tested continuously, so you recognise fast if changes break existing functionality and need some rework. But even if you only test before releases, in a team with a fixed number of developers and testers, over time, the testers are bound to fall behind. This is why at some point, testing has to be automated.

In this article, I'll discuss some of the best practices I discovered through on my own journey toward automation. These are practices you should consider when automating your testing cycles to make sure you build a suite of tests that work well and can be maintained throughout the life of your application. (This article is based on a presentation that can be viewed in full here.)
Monitoring apps can provide a wealth of information about your home, from the status of the current moment to a detailed history of what has happened up to now. You can check your security system’s status, whether the lights are on, whether the doors are locked, what the current temperature of your home is and much more. With cameras as part of your home automation system, you can even pull up real-time video feeds and literally see what’s going on in your home while you’re away.
To keep track of our ever-growing suite of tests, we also classify the automation status of our tests ("already automated," "blocked," "cannot be automated," "in progress," "to be automated") and define the scope of each test (API, integration, user interface, end-to-end, etc.) Note that we have recognized that not all tests should (or can) be automated.
More than just a connection to the front door, Intercom Anywhere lets the family stay connected across the globe. Babysitter not answering? With auto-answer enabled on your Control4 Touch Screens, you can dial into and be instantly video-connected to any room from your mobile device. Misplaced your phone? Control4 keeps you connected! Simply call a family member’s cell phone right from a touch screen on the wall or sitting on the kitchen counter.
In August 2015, Trump told a press conference that American-born children should not be citizens if their parents are undocumented. “A woman is getting ready to have a baby, she crosses the border for one day, has the baby, all of a sudden for the next 80 years, hopefully longer, but for the next 80 years we have to take care of the people. No, no, no, I don’t think so … There are great legal scholars, the top, that say that’s absolutely wrong.”

HomeBrite by Feit Electric offers an easy convenient HomeBrite by Feit Electric offers an easy convenient and cost-effective way to introduce smart lighting into any home or business. Simply install HomeBrite LED bulbs and download the free HomeBrite app to your phone or tablet to begin controlling and customizing your lights. The HomeBrite App serves as a virtual ...  More + Product Details Close


As you learn about RPA functionality and suitability, build an automation roadmap in concert with your progress. Also, put together a broader enterprise plan, highlighting where automation could help. Make sure that your business leaders understand the limitations and capabilities of RPA as you ask them to review their departments. This helps them set and manage their expectations. In particular, review organizational areas with suboptimal performance to determine where RPA may be suitable. You should consider RPA opportunities in your overall development lifecycle.
On the other hand, the macro diet is different from other diets because it’s not a one-size-fits-all approach to dieting. Everyone starts with a target macro ratio (for example, a macro ratio of 50% carbohydrates, 25% protein and 25% fat). An online calculator—or better yet, a nutritionist—will help you determine your macro ratio based on your body type, goals, activity level and medical history. As you aim for your specific macro ratio, you might adjust it based on what’s happening with your body. (See below for more info on that.)
“In the future, BPA will allow organizations to define their own processes and process flow. It will endow employees with the ability to have a single sign-on to a complete solution, providing the unprecedented access that people want. Adopting business process automation will remove the guesswork of delegation and responsibility almost completely in that everyone’s direct responsibilities will be clearly defined and integrated within the platform.”
Selenium is possibly the most popular open-source test automation framework for Web applications. Being originated in the 2000s and evolved over a decade, Selenium has been an automation framework of choice for Web automation testers, especially for those who possess advanced programming and scripting skills. Selenium has become a core framework for other open-source test automation tools such as Katalon Studio, Watir, Protractor, and Robot Framework.
On the weekend before the opening gavel of what’s being dubbed the Harvard affirmative-action trial, a record-breaking 597 of my fellow members of the class of ’88 and I, along with alumni from other reunion classes, were seated in a large lecture hall, listening to the new president of Harvard, Lawrence Bacow, address the issue of diversity in the admissions process. What he said—and I’m paraphrasing, because I didn’t record it—was that he could fill five whole incoming classes with valedictorians who’d received a perfect score on the SAT, but that’s not what Harvard is or will ever be. Harvard tries—and succeeds, to my mind—to fill its limited spots with a diversity not only of race and class but also of geography, politics, interests, intellectual fields of study, and worldviews.
No one actually knows how AI and advanced automation will affect future job opportunities. Predictions about what types of jobs will be replaced and how fast vary widely. One commonly cited study from 2013 estimated that roughly 47 percent of U.S. jobs could be lost over the next decade or two because they involve work that is easily automated. Other reports—noting that jobs often involve multiple tasks, some of which might be easily automated while others are not—have come up with a smaller percentage of occupations that machines could make obsolete. A recent study by the Organization for Economic Cooperation and Development estimates that around 9 percent of U.S. jobs are at high risk. But the other part of the employment equation—how many jobs will be created—is essentially unknowable. In 1980, who could have predicted this decade’s market for app developers?
Suddenly, it seems, people in all walks of life are becoming very concerned about advancing automation. And they should be: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity. That’s especially true now that automation is coming to knowledge work, in the form of artificial intelligence. Knowledge work—which we’ll define loosely as work that is more mental than manual, involves consequential decision making, and has traditionally required a college education—accounts for a large proportion of jobs in today’s mature economies. It is the high ground to which humanity has retreated as machines have taken over less cognitively challenging work. But in the very foreseeable future, as the Gartner analyst Nigel Rayner says, “many of the things executives do today will be automated.”
Despite the excitement around AI, it is still in its early days. Driverless vehicles are fine on sunny days but struggle in the fog or the snow, and they still can’t be trusted in emergency situations. AI systems can spot complex patterns in massive data sets but still lack the common sense of a child or the innate language skills of a two-year-old. There are still very difficult technical challenges ahead. But if AI is going to achieve its full economic potential, we’ll need to pay as much attention to the social and employment challenges as we do to the technical ones.
Last October, Uber had one of its self-­driving trucks make a beer run, traveling 200 kilometers down the interstate to deliver a cargo of Budweiser from Fort Collins to Colorado Springs. A person rode in the truck but spent most of the trip in the sleeper berth, monitoring the automated system. (The test came just a few weeks after Uber had announced its driverless car service in Pittsburgh.) The self-driving truck developed by Uber’s recently acquired Otto unit reflects remarkable technological achievements. It also provides yet another indicator of a looming shift in the economy that could have deep political consequences.
Control of an automated teller machine (ATM) is an example of an interactive process in which a computer will perform a logic derived response to a user selection based on information retrieved from a networked database. The ATM process has similarities with other online transaction processes. The different logical responses are called scenarios. Such processes are typically designed with the aid of use cases and flowcharts, which guide the writing of the software code.The earliest feedback control mechanism was the water clock invented by Greek engineer Ctesibius (285–222 BC)

The promise of automation, touted by optimistic economists and sanguine futurists, has been that yielding work to machines would eliminate the drudgery of mindless, repetitive labor, freeing humans to fill our days with leisure, creative pursuits, or more dynamic work. In 1930, John Maynard Keynes famously speculated that “automatic machinery and the methods of mass production” would help deliver a 15-hour workweek—and even those hours would only be necessary to help men feel they had something to do.
At NASA, cost pressures led the agency to launch four RPA pilots in accounts payable and receivable, IT spending, and human resources—all managed by a shared services center. Shared services centers are often responsible for implementing RPA in many companies. At the space agency, all four projects worked well and are being rolled out across the organization. In the human resource application, for example, 86% of transactions were completed without human intervention. NASA is now implementing more RPA bots, some with higher levels of intelligence.  
The strategy that will work in the long term, for employers and the employed, is to view smart machines as our partners and collaborators in knowledge work. By emphasizing augmentation, we can remove the threat of automation and turn the race with the machine into a relay rather than a dash. Those who are able to smoothly transfer the baton to and from a computer will be the winners.
For augmentation to work, employers must be convinced that the combination of humans and computers is better than either working alone. That realization will dawn as it becomes increasingly clear that enterprise success depends much more on constant innovation than on cost efficiency. Employers have tended to see machines and people as substitute goods: If one is more expensive, it makes sense to swap in the other. But that makes sense only under static conditions, when we can safely assume that tomorrow’s tasks will be the same as today’s.
“We help our customers address the technology issue. Once they have their automation processes identified, we let them implement those processes on top of the cloud systems they use. For example, automating marketing across email, social, and mobile channels to engage prospective customers, automating the sales process on top of the customer’s CRM, implementing collaboration software, and using documents to shorten the sales cycle and convert more prospects. From a technology perspective, there are a lot of BPA enablers: AI, bots, and automation/integration tools (like ours). There was a lot of buzz around the same in 2016. This will make it increasingly simple to achieve BPA once the people and process parts are taken care of.” 

TL;DR: Testing is a sophisticated task that requires a broad set of skills and with the means currently available cannot be automated. What can (and should) be automated is regression testing. This is what we usually refer to when we say test automation. Regression testing is not testing, but merely rechecking existing functionality. So regression testing is more like version control of the dynamic properties of the software.
Manufacturers have produced a wide variety of “smart” devices, many of which are full of innovative features but few of which offer the kind of integration needed to be part of a complete home automation system. Much of the problem has been that each manufacturer has a different idea of how these devices should be connected and controlled. So while you may have a “smart” TV, washing machine, refrigerator, thermostat, coffee maker or any of the other Internet-ready household devices on the market, the end result is usually a separate control scheme for each device.
“What I quite like about these stories is that it shows that automation still has the potential to reduce the amount of boring work we have to do,” Jamie Woodcock, a sociologist of work at the Oxford Internet Institute, told me. “Which was the promise of automation, which was that we wouldn’t have to work 60-hour workweeks, and we could do more interesting things like stay home with our kids.”
Some software testing tasks, such as extensive low-level interface regression testing, can be laborious and time-consuming to do manually. In addition, a manual approach might not always be effective in finding certain classes of defects. Test automation offers a possibility to perform these types of testing effectively. Once automated tests have been developed, they can be run quickly and repeatedly. Many times, this can be a cost-effective method for regression testing of software products that have a long maintenance life. Even minor patches over the lifetime of the application can cause existing features to break which were working at an earlier point in time.

In general, testing is finding out how well something works. In terms of human beings, testing tells what level of knowledge or skill has been acquired. In computer hardware and software development, testing is used at key checkpoints in the overall process to determine whether objectives are being met. For example, in software development, product objectives are sometimes tested by product user representatives. When the design is complete, coding follows and the finished code is then tested at the unit or module level by each programmer; at the component level by the group of programmers involved; and at the system level when all components are combined together. At early or late stages, a product or service may also be tested for usability.
Anyone who has read a lot of my work knows I take issues with the industries use of ‘Test Automation’, to me it’s become a synonym for automated testing. In my opinion, this is limiting people’s thinking around the use of automation, and how it can support their testing efforts. Therefore when I talk about my thoughts on automation that supports testing, using the word test automation muddles the water, so I personally need to use some others words, those words have ended up being ‘Automation in Testing’ since 2014.
The Obama White House has pointed out that every 3 months "about 6 percent of jobs in the economy are destroyed by shrinking or closing businesses, while a slightly larger percentage of jobs are added".[98] A recent MIT economics study of automation in the United States from 1990 to 2007 found that there may be a negative impact on employment and wages when robots are introduced to an industry. When one robot is added per one thousand workers, the employment to population ratio decreases between 0.18–0.34 percentages and wages are reduced by 0.25–0.5 percentage points. During the time period studied, the US did not have many robots in the economy which restricts the impact of automation. However, automation is expected to triple (conservative estimate) or quadruple (generous estimate) leading these numbers to become substantially higher.[99]
Customer Support – If you own any kind of website, you probably have some sort of customer support software set up. While the software tends to differ in functionality, most of them allow you to automate responses to customers. For example, if your software has problems with users logging in through LinkedIn, and that’s 90% of customer tickets. You can just create an automatic response to any message that has “LinkedIn” mentioned, saying that it’s a known issue and will soon be solved. This allows your support team to attend to tickets that are less-known.

Brady Keller, Digital Marketing Strategist at Atlantic.Net, says, “My favorite type of automation is marketing automation, which was created to help businesses scale relevant, worthwhile digital engagement for a large population of potential customers. No one has the bandwidth to send highly targeted emails to thousands of people at a time. Use the tools you’ve invested in to help you configure that process in the most efficient way possible. Based on the platform you select, you will have a variety of customizable tools and workflows that will work around your specific instructions. You can implement strategies, like autoresponders, transactional emails, algorithmic personalization, and much more.
This helps to make output more predictable, reduce mistakes, and make your team happier (whoever used to have to trawl through the most spreadsheets will suddenly feel a lot better about their job!). Since a machine can run constantly without rest, you could have it process large sets of data on autopilot, 24/7. That’s something you’re not going to get out of even the most dedicated employee.
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