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Research by Carl Benedikt Frey and Michael Osborne of the Oxford Martin School argued that employees engaged in "tasks following well-defined procedures that can easily be performed by sophisticated algorithms" are at risk of displacement, and 47 per cent of jobs in the US were at risk. The study, released as a working paper in 2013 and published in 2017, predicted that automation would put low-paid physical occupations most at risk, by surveying a group of colleagues on their opinions.[91] However, according to a study published in McKinsey Quarterly[92] in 2015 the impact of computerization in most cases is not replacement of employees but automation of portions of the tasks they perform.[93] The methodology of the McKinsey study has been heavily criticized for being intransparent and relying on subjective assessments.[94] The methodology of Frey and Osborne has been subjected to criticism, as lacking evidence, historical awareness, or credible methodology.[95][96] In addition the OCED, found that across the 21 OECD countries, 9% of jobs are automatable.[97]
Protect your home and family and enjoy a Protect your home and family and enjoy a hands-free voice-controlled speaker with a great audio experience at the same time. Introducing the First Alert Onelink Safe & Sound the first-ever smart smoke and carbon monoxide alarm with Alexa Voice Services enabled so you can enjoy the full suite of features ...  More + Product Details Close
BPA is often confused with other terms such as industrial automation, robotic process automation, smart factories, infrastructure management, and enterprise risk management. Industrial automation (IA) uses control systems such as computers to automatically run industrial processes. Primarily found in manufacturing, it replaces the human element and improves the production rate through consistently managed processes. Whereas BPA automates processes and workflows, IA strictly automates the physical human labor in processes and workflows.

This is a pretty consolidated and resourceful piece on list of top software automation software testing tools. It is absolutely right that using automation tools is extremely important to identify and reducing the bugs.We have a similar post and would be great to get your views.Here is the link: https://www.janbasktraining.com/blog/list-software-testing-tools/
This one is great for those that want a little more accountability in that it will give you advice along the way and tips to stay on track with portion control and other various things. They also have a very large database OFFline which is nice for when you don't have signal in some areas, and I have a hard time getting Myfitnesspal to pull up. That doesn't happen that often so it might not be something that is a priority but just giving the full disclosure.
Using a calorie tracker is one of the best ways to get control of your diet. We need to be better informed about what we are eating. Keeping track of what food you’re consuming helps you eat right and make healthier food choices. To lose weight, you have to eat fewer calories than your body burns each day. Tracking calories will help to ensure you create a “calorie deficit”. Likewise, if building muscle, one often needs to eat enough food for a caloric surplus. Tracking calories will help you meet your specific goal. 
Suppose any software has come up with new releases and bug fixes, then how will you ensure about that the new released software with bug fixes has not introduced any new bug in previous working functionality? So it’s better to test the software with old functionalities too. It is difficult to test manually all functionalities of the software every time with the addition of some bug fixes or new functionalities. So, it is better to test software every time by Automation testing technique using Automation Tool efficiently and effectively. It is effective in terms of cost, resources, Time etc.
"This app is basically a personal nutritionist. It comes with a variety of recipes and food options to not only help you track your calories daily but to lose weight. It has a user friendly interface where you can get suggestions on foods to eat, join an online community where you can interact with others and you can search thousands of foods to get ideas of healthy eating. I love this app."

Smart home technology is based on the idea that communication signals can be sent between devices to make something happen - like pressing a button on a remote control lights or on your smartphone to have a light turn on or off or dim.. There are various technologies used to make this happen, some use existing you home power lines, somme using radio frequency, (RF), some using Wi-Fi, and some using a combination of these. Technology Explained:


Another important development in the history of automation was the Jacquard loom (see photograph), which demonstrated the concept of a programmable machine. About 1801 the French inventor Joseph-Marie Jacquard devised an automatic loom capable of producing complex patterns in textiles by controlling the motions of many shuttles of different coloured threads. The selection of the different patterns was determined by a program contained in steel cards in which holes were punched. These cards were the ancestors of the paper cards and tapes that control modern automatic machines. The concept of programming a machine was further developed later in the 19th century when Charles Babbage, an English mathematician, proposed a complex, mechanical “analytical engine” that could perform arithmetic and data processing. Although Babbage was never able to complete it, this device was the precursor of the modern digital computer. See computers, history of.
Interview Wardrobe Mistakes That Are Costing You the Job - Job seekers spend so much time crafting the perfect resume they often overlook other elements that are essential to a successful interview – like their wardrobe. While some jobs don’t require such formal attire as a suit and tie, there’s still a fine line between what’s acceptable and what should be avoided at all costs.... Read more »

Summary: Simplifies inviting beta users, distributing builds and collecting feedback for beta testing of mobile apps. Applause Mobile Beta Management is mobile-only. It allows users to share feedback and submit bugs directly from within the app they are testing and provides managers with bug and feedback reports as well as participant session information and automatic crash reporting.
As most people in the software industry know, there are distinct differences between manual testing and automated testing. Manual testing requires physical time and effort to ensure the software code does everything it’s supposed to do. In addition, manual testers have to make a record of their findings. This involves checking log files, external services and the database for errors. If you’re familiar with manual testing, you know this process can be extremely time-consuming and repetitive.
Whether it's a switch or something else, there's a good chance that you'll want to build your smart home's starting point into something a little more complex. If you're adding something to your system, the key is compatibility -- you want something that'll play well with the rest of your system, rather than buying into a separate, walled off ecosystem.
The Perfect Bake Pro takes out the guess work and risk when baking. It's a baking scale connected to an app to help newbies (and seasoned bakers alike) get everything just right when it comes to kitchen chemistry. Just follow the app as the scale measures everything you add. As long as you can tell salt from sugar, you're probably going to be just fine.
“I’ve worked with many clients to improve their business process efficiency. The main way I achieve efficiency is through the integration of financial and operational applications. There are many ways to use cloud applications to get rid of redundancies, reduce data lag/availability, and — by eradicating human intervention — improve accuracy in the collection of data. You will often observe that a human entering or moving data through a process is susceptible to inaccuracies and the delays of office life. By automating these processes, you reduce or eliminate the inaccuracies and can significantly cut down on the time it takes to get actionable data.
What if we were to reframe the situation? What if, rather than asking the traditional question—What tasks currently performed by humans will soon be done more cheaply and rapidly by machines?—we ask a new one: What new feats might people achieve if they had better thinking machines to assist them? Instead of seeing work as a zero-sum game with machines taking an ever greater share, we might see growing possibilities for employment. We could reframe the threat of automation as an opportunity for augmentation.
Experts say that BPM has five to six stages: planning and strategic alignment, process analysis, process design, process implementation, process monitoring, and process refinement, although the planning and strategic alignment stage is under debate. Regardless, all experts agree that the last step should include continuous improvement activities, making the overall process a cycle that never really ends.
“AI is very much in its infancy,” says MIT’s Acemoglu. “We don’t really know what it can do. It’s too soon to know its impact on jobs.” A key part of the answer, he says, will be to what extent the technologies are used to replace humans or, alternatively, to help them carry out their jobs and expand their capabilities. Personal computers, the Internet, and other technologies of the last several decades did replace some bank tellers, cashiers, and others whose jobs involved routine tasks. But mainly these technologies complemented people’s abilities and let them do more at work, says Acemoglu. Will that pattern continue? “With robots, and down the line with artificial intelligence, the replacement part might be far stronger,” he cautions.

No stranger to outdoor appliances, Sweden-based Husqvarna offers a variety of robot lawn mowers for yards of all shapes and sizes. We got our hands on the Automower 315X, a high-end, feature-packed model with a premium $1,999.95 price. The 315X works with a well-designed mobile app that lets you use your phone to start and stop the mower, monitor its progress, create schedules, and see where it's been on a map of your property. Its user-friendly programming options, outstanding cutting performance, and quiet operation earn it our Editors' Choice for robotic lawn mowers.
Automation testing is a best way to fulfill most of the testing goals with effective resources and time. But be careful before purchasing the automation tool that fulfills the requirement of the application because no any tool can fulfill 100% requirement. You should be having skilled staff before taking decision to automate the application. So get the tool that matches to your requirement and for rest part do the manual testing.
The International Society of Automation (www.isa.org) is a nonprofit professional association that sets the standard for those who apply engineering and technology to improve the management, safety, and cybersecurity of modern automation and control systems used across industry and critical infrastructure. Founded in 1945, ISA develops widely used global standards; certifies industry professionals; provides education and training; publishes books and technical articles; hosts conferences and exhibits; and provides networking and career development programs for its 40,000 members and 400,000 customers around the world.
For now, my pick is the Belkin WeMo Mini, which offers a mature, well-developed system, tons of use scenarios, fairly wide third-party compatibility, and best of all, a price point of just $35. It's a low-risk way to dip your foot into smart home waters, and if you like it, finding compatible gadgets that make it even smarter isn't difficult at all.
According to William Mayben, Principal and Consultant at Wm Mayben and Associates, “Those on the inside are concerned with the rapid advent of AI in the field of business automation and its accelerating effect on the erosion of middle-class jobs. Every technological breakthrough comes with its benefits and costs. We appear to be better at technical progress than we are with the social displacement, which that progress engenders. This is also true in manufacturing, communications, and finance, all fields of human endeavor. 
The UTF's supplies a toolbox of testing tools to ease creation and maintenance of test programs and provide a uniform error reporting mechanism. The toolbox supplied in most part in a form of macro and function declarations. While the functions can be called directly, the usual way to use testing tools is via convenience macros. All macros arguments are calculated once, so it's safe to pass complex expressions in their place. All tools automatically supply an error location: a file name and a line number. The testing tools are intended for unit test code rather than library or production code, where throwing exceptions, using assert(), boost::concept_check or BOOST_STATIC_ASSERT() may be more suitable ways to detect and report errors. For list of all supplied testing tools and usage examples see the reference.
Summary: A desktop tool for load, stress and scalability testing that works with both HTML sites and rich internet applications. SmartBear LoadComplete can generate load from virtual machines, on premise computers or the cloud and offers record and replay capabilities, visual programming, a test cost simulator, distributed load testing, analytics and functional test reuse.
Perfecto’s Eran Kinsbruner (@ek121268) compares the 5 most popular open source testing frameworks on over 25 criteria (including suitability for dev and/or QA). Software testing frameworks covered include Selenium, Appium, Espresso, XCTest UI, and Calabash. Evaluation criteria cover both general and mobile testing capabilities.  [Read this software testing tools list]
The UTF's supplies a toolbox of testing tools to ease creation and maintenance of test programs and provide a uniform error reporting mechanism. The toolbox supplied in most part in a form of macro and function declarations. While the functions can be called directly, the usual way to use testing tools is via convenience macros. All macros arguments are calculated once, so it's safe to pass complex expressions in their place. All tools automatically supply an error location: a file name and a line number. The testing tools are intended for unit test code rather than library or production code, where throwing exceptions, using assert(), boost::concept_check or BOOST_STATIC_ASSERT() may be more suitable ways to detect and report errors. For list of all supplied testing tools and usage examples see the reference.
Thomas H. Davenport is the President’s Distinguished Professor in Management and Information Technology at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior adviser at Deloitte Analytics. Author of over a dozen management books, his latest is Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. 
Automation is, unsurprisingly, one of the two main characteristics of home automation. Automation refers to the ability to program and schedule events for the devices on the network. The programming may include time-related commands, such as having your lights turn on or off at specific times each day. It can also include non-scheduled events, such as turning on all the lights in your home when your security system alarm is triggered.
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.
A test automation framework is an integrated system that sets the rules of automation of a specific product. This system integrates the function libraries, test data sources, object details and various reusable modules. These components act as small building blocks which need to be assembled to represent a business process. The framework provides the basis of test automation and simplifies the automation effort.
Considering all of its shortcomings, we are lucky that testing existing functionality isn’t really testing. As we said before, real testing is questioning each and every aspect and underlying assumption of the product. Existing functionality has already endured that sort of testing. Although it might be necessary to re-evaluate assumptions that were considered valid at the time of testing, this is typically not necessary before every release and certainly not continuously. Testing existing functionality is not really testing. It is called regression testing, and although it sounds the same, regression testing is to testing like pet is to carpet—not at all related. The goal of regression testing is merely to recheck that existing functionality still works as it did at the time of the actual testing. So regression testing is about controlling the changes of the behaviour of the software. In that regard it has more to do with version control than with testing. In fact, one could say that regression testing is the missing link between controlling changes of the static properties of the software (configuration and code) and controlling changes of the dynamic properties of the software (the look and behaviour). Automated tests simply pin those dynamic properties down and transform them to a static artefact (e.g. a test script), which again can be governed by current version control systems.
But if the company had one shared test environment where changes needed to be negotiated through change control, that might not actually save any time. We'd have a big, fat bottleneck in front of testing. As Tanya Kravtsov pointed out recently in her presentation at TestBash New York, automating the thing that is not the bottleneck creates the illusion of speed but does not actually improve speed.
Agent-assisted automation refers to automation used by call center agents to handle customer inquiries. There are two basic types: desktop automation and automated voice solutions. Desktop automation refers to software programming that makes it easier for the call center agent to work across multiple desktop tools. The automation would take the information entered into one tool and populate it across the others so it did not have to be entered more than once, for example. Automated voice solutions allow the agents to remain on the line while disclosures and other important information is provided to customers in the form of pre-recorded audio files. Specialized applications of these automated voice solutions enable the agents to process credit cards without ever seeing or hearing the credit card numbers or CVV codes[90]
As it relates to testing software, Hazen looks at Agile and non-Agile methods of development as being risk-based decisions. According to Hazen, the question of how test automation impacts Agile or other development methods comes down to how much automation “tooling” is used, where it is implemented in testing, and how much it is relied on for the project’s goal.  

“Another common mistake is trying to get testers to do both jobs, so when management gives the go ahead for automation testing, any QA related job these days requires some level of automation and testers might get excited about the potential for test automation. But these are both full-time jobs, so often times [these] teams struggle with deciding what to spend limited time on.”
“If you need a framework to test web services, you may use a different set of tools within a framework,” says Jones. “You should be able to combine tools within a framework in a way that allows you to test, so you are not limited to just UI, integration, or web-services testing. Build your framework in a way that supports a range of testing goals.”

Enterprise Robotic Process Automation is the disruptive force in digital transformation. It is the obvious next big step in markets around the globe. Why is this happening? Because RPA is covering a widening range of enterprise processes and delivering more competitive advantages. Enterprise RPA delivers powerful outcomes at unlimited scale, helping companies become digital businesses faster and gain a valuable advantage on their path to AI.
Jones recommends flexible automation frameworks and cautions against using a framework limited to only UI testing, for example. Some test teams build their frameworks from scratch to satisfy the desired result of the test automation code and activities. According to Jones, most test automation initiatives fail due to the poor design of the test automation framework architecture for that project.
^ Jump up to: a b "INTERKAMA 1960 - Dusseldorf Exhibition of Automation and Instruments" (PDF). Wireless World. 66 (12): 588–589. December 1960. Retrieved 2018-06-18. […] Another point noticed was the widespread use of small-package solid-state logic (such as "and," "or," "not") and instrumentation (timers, amplifiers, etc.) units. There would seem to be a good case here for the various manufacturers to standardise practical details such as mounting, connections and power supplies so that a Siemens "Simatic (de)," say, is directly interchangeable with an Ateliers des Constructions Electronique de Charleroi "Logacec," a Telefunken "Logistat," or a Mullard "Norbit" or "Combi-element." […]
“As a solution, we automated this outreach through our RepuGen software, getting customer feedback and turning the positive comments into reviews. The second way I automated to improve my business was when I created an online portal for my online transcription services company, GMR Transcription. This online portal eliminated the manual process of receiving and uploading audio files, and instead made it possible for the clients to do it themselves.”
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.
The automation of vehicles could prove to have a substantial impact on the environment, although the nature of this impact could be beneficial or harmful depending on several factors. Because automated vehicles are much less likely to get into accidents compared to human-driven vehicles, some precautions built into current models (such as anti-lock brakes or laminated glass) would not be required for self-driving versions. Removing these safety features would also significantly reduce the weight of the vehicle, thus increasing fuel economy and reducing emissions per mile. Self-driving vehicles are also more precise with regard to acceleration and breaking, and this could contribute to reduced emissions. Self-driving cars could also potentially utilize fuel-efficient features such as route mapping that is able to calculate and take the most efficient routes. Despite this potential to reduce emissions, some researchers theorize that an increase of production of self-driving cars could lead to a boom of vehicle ownership and use. This boom could potentially negate any environmental benefits of self-driving cars if a large enough number of people begin driving personal vehicles more frequently.[53]
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.

This is my second favorite, because it's huge on micros which I've become a really big fan of recently. I'm really trying to focus on my overall health and not just about macros so I've been working on getting all of my essential amino acids, vitamins and minerals and it's fun to watch that tick up as the days progress. You might realize that you are overloading in one area with vitamins but not getting any of the others so it helps you to add variety. 
Targeting macros has become increasingly popular with IFYM (If It Fits Your Macros) craze sweeping over the nutritional stratosphere. If you search #iifym on Instagram, you will see over 5 million results!  Counting macros means tracking the number of grams of protein, carbohydrates, and fats that you consume on a particular day. This helps you to focus on food composition and overall healthfulness rather than just low-calorie foods. With the right macros, you can remain full all day, stay energetic, and build lean muscle to achieve that toned look.  A lot of bodybuilders have mastered the art of calculating macros and have no problems with whipping out their food scale anytime and anywhere.

Home automation (also called domotics) designates an emerging practice of increased automation of household appliances and features in residential dwellings, particularly through electronic means that allow for things impracticable, overly expensive or simply not possible in recent past decades. The rise in the usage of home automation solutions has taken a turn reflecting the increased dependency of people on such automation solutions. However, the increased comfort that gets added through these automation solutions is remarkable.[77]
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.
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This table-based example doesn't include if statements or for loops, and the %% sign indicates a variable that can be passed in or assigned. In the past, I have created accounts and users with a standard name, followed by a time stamp, to ensure that the users were unique for each test run. Individual functions, like search_for, followed by what to search and what to expect in the results, consist of code. Those might have if statements or loops in them, but what we expose to the customer is a straight flow.
Summary: Provides visibility into the testing process with capabilities to manage, organize and report on tests. SmartBear QAComplete offers out-of-the-box templates or custom workflow options, defect logging, the ability to trace tests to user stories and reusability across the testing cycle. It also integrates with tools like Jira, Selenium and SoapUI.
I know a little about “Process Automation”, but I work in Flokzu, a cloud tool in the second category. So if you were looking for BPM, I suggest to take a look at this tool that implements the 4 basic stages of BPM: Modeling, Deploy and Automation (with 1 click, no coding), Measuring (using KPI's) and Improving your process. It also provides a free ready-to-use process library that will let you understand what kind of processes can be automated.
The economic anxiety over AI and automation is real and shouldn’t be dismissed. But there is no reversing technological progress. We will need the economic boost from these technologies to improve the lackluster productivity growth that is threatening many people’s financial prospects. Furthermore, the progress AI promises in medicine and other areas could greatly improve how we live. Yet if we fail to use the technology in a way that benefits as many people as possible (see “Who Will Own the Robots?”), we risk fueling public resentment of automation and its creators. The danger is not so much a direct political backlash—though the history of the Luddites suggests it could happen—but, rather, a failure to embrace and invest in the technology’s abundant possibilities.
Jones believes the most common reason for using test automation today is to shorten the regression test cycle. Regression tests are used to determine if changes to the software are the cause of new problems. They verify that a system under test hasn’t changed. To guard against introducing unintended changes, they become part of a regression test suite after the tests pass. Regression tests are automated to ensure regular feedback.
While automated testing has been considered essential for organizations, both large and small, to implement in order to deliver outstanding software and stay competitive in the industry, it can be tough to get started. Outlining an effective roadmap, building robust frameworks, choosing the right tools, and measuring the potential monetary impact that automation could have on your delivery lifecycle are all critical components of any successful automated testing strategy, but each step presents its own challenges and costs.

The first and most obvious beneficiaries of this approach are “smart” devices and appliances that can be connected to a local area network, via Ethernet or Wi-Fi. However, electrical systems and even individual points, like light switches and electrical outlets, were also integrated into home automation networks, and businesses have even explored the potential of IP-based inventory tracking. Although the day is still far off when you’ll be able to use your mobile browser to track down a lost sock, home networks are capable of including an increasing number of devices and systems.
Automated unit tests are extremely fast to execute, and you'll want to run them after every build. This approach will give your team immediate feedback when regressions occur, as your code base continues to grow and evolve. Because the tests are so small and specific, it's easy to troubleshoot them when you have a failure. Having these tests gives your development team the peace of mind to refactor with confidence, safe in the knowledge that they'll quickly detect any new code that causes regressions.
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.

Where home automation becomes truly “smart” is in the Internet-enabled devices that attach to this network and control it. The classic control unit is the home computer, for which many of the earlier home automation systems were designed. Today’s home automation systems are more likely to distribute programming and monitoring control between a dedicated device in the home, like the control panel of a security system, and a user-friendly app interface that can be accessed via an Internet-enabled PC, smartphone or tablet.
Another problem with test tooling, one that's more subtle, especially in user interface testing, is that it doesn't happen until the entire system is deployed. To create an automated test, someone must code, or at least record, all the actions. Along the way, things won't work, and there will be initial bugs that get reported back to the programmers. Eventually, you get a clean test run, days after the story is first coded. But once the test runs, it only has value in the event of some regression, where something that worked yesterday doesn't work today.

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.
When we first tested robotic pool cleaners, the Polaris 9550 Sport took top honors thanks to its superb cleaning performance, easy-to-clean debris canister, and multiple programming options. The new Polaris 9650iQ Sport brings more of the same, only this time it offers Wi-Fi connectivity and a useful mobile app that lets you control the cleaner from your smartphone. It's expensive at $1,499, but if you'd rather spend more time swimming in your pool than you do cleaning it, it's worth every penny.
Monitoring your calories and macros will help you make sense of your diet, stay on track and keep you motivated. As you learn to track your nutrition, you become a more aware eater. In this way, you’ll be closer to achieving your fitness goals. What works best will depend on what your goal is. When it comes to weight loss, how much you eat is critical. To lose weight you must regularly feed your body less energy than it burns. Therefore keeping track of how many calories you consume is the best way to achieve your goal. If you want to build muscle, what you eat becomes more important. You must be providing your body enough protein to rebuild muscle tissue. In this case, tracking your macronutrients will best help you get in your dream shape.  

Environment issues aside, automated checks that need to be run by hand create a drain on the team. Most teams we work with tend to want to just get started by running automated checks by hand. I suggest a different approach: Start with one check that runs end-to-end, through the continuous integration server, running on every build. Add additional scripts to that slowly, carefully, and with intention. Instead of trying to automate 100%, recognize that tooling creates drag and maintenance cost. Strive instead to automate the most powerful examples.


The majority of home automation boils down to things turning on and off on their own. To this end, a smart switch capable of controlling anything you plug into it makes a very sensible connected home starting point. There are plenty of options available now from names like Belkin and D-Link, as well as options that work with HomeKit like the iDevices Switch and the iHome Smart Plug.
RPA isn’t for every enterprise. As with any automation technology, RPA has the potential to eliminate jobs, which presents CIOs with challenges managing talent. While enterprises embracing RPA are attempting to transition many workers to new jobs, Forrester Research estimates that RPA software will threaten the livelihood of 230 million or more knowledge workers, or approximately 9 percent of the global workforce. 
The IT industry depends on similar Agile practices of different names to meet the market’s demand for their products and services. Test automation is vital to Agile and the companies using Continuous Integration and Delivery, TDD, and BDD. For the titans of technology and the IT industry at large to reap the benefits of test automation, they must rely on automation frameworks.
We know that APIs are critical to your business. Whether you are providing APIs or consuming them, you need to visualize what they do, validate that they function as intended, virtualize them to use in agile testing, and monitor them to make sure they are not just available, but efficient as well. Our ReadyAPI tool set provides all of those capabilities and more – including functional API testing, load testing for APIs, and API security testing.
As mentioned already, it will be my self and Mark making this happen. We have independently developed similar thinking with regard to automation, but more importantly, the same with testing. We’ve been working together for a number of years so this is a great progression for us. We both have strong reputations in this space and I believe our views are respected by the community.
When it comes to business process automation efforts, our experts from around the web give several recommendations for how to get started. Some say that the projects are only successful if you initially approach them from the position of the desired outcome. Others recommend automating first, then figuring out the processes. Some claim that a full map and model of your processes are required prior to any automation. Experts also extol the virtue of having your business leaders on board, even as part of the team. Finally, they emphasize that you should improve all your processes (not just the automated ones) to maximize usefulness. In other words, garbage in, garbage out.
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