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.

RPA is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems. RPA scenarios range from something as simple as generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system.


Knowing the specifics can help you set realistic goals, monitor your progress and maintain your motivation. In a series of blog posts, we will explore the different reasons and methods of keeping track of your fitness progress. We will start with nutrition as you all probably heard the saying that “Abs are made in the kitchen”. We will break this further, exploring why and how to track the following:

Red Hat® works with the greater open source community, on automation technologies. Our engineers help improve features, reliability, and security to make sure your business and IT performs and remains stable and secure. As with all open source projects, Red Hat contributes code and improvements back to the upstream codebase—sharing advancements along the way.
Summary: Provides application security as a service with a single platform to view and manage security risk, develop security testing schedules and run remediation projects. Fortify on Demand runs automated tests with a full audit of results and includes support for the SAST, DAST and IAST spaces (due to addition of the legacy WebInspect tool) as well as limited support for MAST.
To be sure, many of the things knowledge workers do today will soon be automated. For example, the future role of humans in financial advising isn’t fully clear, but it’s unlikely that those who remain in the field will have as their primary role recommending an optimal portfolio of stocks and bonds. In a recent conversation, one financial adviser seemed worried: “Our advice to clients isn’t fully automated yet,” he said, “but it’s feeling more and more robotic. My comments to clients are increasingly supposed to follow a script, and we are strongly encouraged to move clients into the use of these online tools.” He expressed his biggest fear outright: “I’m thinking that over time they will phase us out altogether.” But the next words out of his mouth more than hinted at his salvation: “Reading scripts is obviously something a computer can do; convincing a client to invest more money requires some more skills. I’m already often more of a psychiatrist than a stockbroker.”
Today, BPA is a normal part of the toolkit for process excellence and continuous improvement, with components like systems integration, enterprise resource planning (ERP) systems, and workflow tools. With the Internet of Things (IoT) connecting objects to the digital world, BPA enables the transfer of data over a network without any human interaction. Advances in mobile technology have enabled a remote workforce, which can dramatically decrease company expenses.
It is often argued that technological progress always leads to massive shifts in employment but that at the end of the day the economy grows as new jobs are created. However, that’s a far too facile way of looking at the impact of AI and automation on jobs today. Joel Mokyr, a leading economic historian at Northwestern University, has spent his career studying how people and societies have experienced the radical transitions spurred by advances in technology, such as the Industrial Revolution that began in the late 18th century. The current disruptions are faster and “more intensive,” Mokyr says. “It is nothing like what we have seen in the past, and the issue is whether the system can adapt as it did in the past.”

Today’s software testing tool market offers testers more options—and more confusion—than ever before. Both the open source community and commercial vendors are introducing new software testing tools at an unprecedented rate. On top of that, the past couple years have brought tremendous turmoil in the software testing tools marketplace (think HPE-Micro Focus spin merge, the IBM Rational- HCL deal …). Given all the new choices and changes, it’s not surprising that there are now 100+ software testing tools lists making the rounds on blogs and software testing community sites.


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.
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.)
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The idea of managing all the functions of a home with a centralized control system dates back to at least the beginning of the 20th century. The earliest working prototypes of automated houses debuted in the 1930s at World’s Fairs in Chicago and New York City, but those homes were never intended to be commercially available. [1] It wasn’t until the invention of the microcontroller during the 1970s that marketing a fully-wired, “smart” home automation system became economically feasible. With the growth of computer technology over the last fifteen years or so, the home automation industry has taken off.
Increased automation can often cause workers to feel anxious about losing their jobs as technology renders their skills or experience unnecessary. Early in the Industrial Revolution, when inventions like the steam engine were making some job categories expendable, workers forcefully resisted these changes. Luddites, for instance, were English textile workers who protested the introduction of weaving machines by destroying them.[46] Similar movements have sprung up periodically ever since. For most of the nineteenth and twentieth centuries, the most influential of these movements were led by organized labor, which advocated for the retraining of workers whose jobs were rendered redundant by machines.
With the growing number of web-based applications this is changing, however, as verifying and testing web-based interfaces is easier and there are various tools that help with this, including free open source projects. Please see below for a list of popular and useful tools, projects, books and resources to get started with automated software testing.
The Defense Advanced Research Projects Agency (DARPA) started the research and development of automated visual surveillance and monitoring (VSAM) program, between 1997 and 1999, and airborne video surveillance (AVS) programs, from 1998 to 2002. Currently, there is a major effort underway in the vision community to develop a fully automated tracking surveillance system. Automated video surveillance monitors people and vehicles in real time within a busy environment. Existing automated surveillance systems are based on the environment they are primarily designed to observe, i.e., indoor, outdoor or airborne, the amount of sensors that the automated system can handle and the mobility of sensor, i.e., stationary camera vs. mobile camera. The purpose of a surveillance system is to record properties and trajectories of objects in a given area, generate warnings or notify designated authority in case of occurrence of particular events.[70]
Intelligent machines, Nicita thinks—and this is the core belief of an augmentation strategy—do not usher people out the door, much less relegate them to doing the bidding of robot overlords. In some cases these machines will allow us to take on tasks that are superior—more sophisticated, more fulfilling, better suited to our strengths—to anything we have given up. In other cases the tasks will simply be different from anything computers can do well. In almost all situations, however, they will be less codified and structured; otherwise computers would already have taken them over.

"Smart home" is a very broad term, covering a huge number of connected gadgets, systems and appliances that do a wide variety of different things. "Home automation" is slightly less broad, referring specifically to things in your home that can be programmed to function automatically. In years past, those automations were pretty basic -- lamp timers, programmable thermostats and so on -- but that's fast been changing thanks to the recent sprawl of smart home tech aimed at mainstream consumers.
Rather than spending weeks at the end of the development cycle going through a hardening phase, you want to run automated tests that take a fraction of the time and run regression tests with each build. Unfortunately, many organizations start at the user interface layer, which delivers the smallest return on investment. This is where Mike Cohn's test automation pyramid concept can help. Follow this guide to get the most bang for your buck as you get started with test automation.
One way to generate test cases automatically is model-based testing through use of a model of the system for test case generation, but research continues into a variety of alternative methodologies for doing so.[citation needed] In some cases, the model-based approach enables non-technical users to create automated business test cases in plain English so that no programming of any kind is needed in order to configure them for multiple operating systems, browsers, and smart devices.[2]

The most well-known kind of software application testing tool is automation, which attempts to replace human activities -- clicking and checking -- with a computer. The most common kind of test automation is driving the user interface, where a human records a series of actions and expected results. Two common kinds of user-interface automation are record/playback -- where an automated software testing tool records the interactions and then automates them, expecting the same results -- and keyword-driven -- where the user interface elements, such as text boxes and submit buttons, are referred to by name. Keyword-driven tests are often created in a programming language, but they do not have to be; they can resemble a spreadsheet with element identifiers, commands, inputs and expected results.
In software testing, test automation is the use of special software (separate from the software being tested) to control the execution of tests and the comparison of actual outcomes with predicted outcomes.[1] Test automation can automate some repetitive but necessary tasks in a formalized testing process already in place, or perform additional testing that would be difficult to do manually. Test automation is critical for continuous delivery and continuous testing.
Every day, your employees schedule appointments, request approvals, revise documents and workflows, route information, and look for status updates. In many businesses, people still perform these actions manually. This can be a struggle when you have to scroll through multiple email revisions, replies, and forwards to find the current version of a document. It can also be a challenge when you miss an email that gives you an approval before everything’s ready.

The market is, however, evolving in this area. In order to automate these processes, connectors are needed to fit these systems/solutions together with a data exchange layer to transfer the information. A process driven messaging service is an option for optimizing your data exchange layer. By mapping your end-to-end process workflow, you can build an integration between individual platforms using a process driven messaging platform. Process driven messaging service gives you the logic to build your process by using triggers, jobs and workflows. Some companies uses an API where you build workflow/s and then connect various systems or mobile devices. You build the process, creating workflows in the API where the workflow in the API acts as a data exchange layer.
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