Automation | Jabil

High-volume products such as consumer electronics are steadily increasing in complexity while getting considerably smaller. Many assembly tasks have become very difficult for manual labor, or require training that cant be justified with shrinking margins. At the same time, many existing automated lines are aging, or havent been updated with capabilities that could significantly improve production. In either case, the goals are clear:

Partnering with Jabil, manufacturers gain global access to leading automation engineers and state-of-the-art robotics and processes. Jabil applies its unique expertise to deliver best practices, standards, and divisional resources that focus on specific products and market requirements. Companies have reduced platform equipment costs up to 30% and implemented core processes that are up to 30% faster using considerably less factory floor space.

Final Assembly, Test, and Pack (FATP) Automation

In addition to helping companies optimize their automated lines, Jabil offers the Standard Integration Module (SIM) platform that uses interchangeable modules to automate basic-to-complex FATP applications. These pre-engineered solutions including wafer and PCB assembly applications greatly minimize risks, simplify integration, and reduce lead times, and can be used inline or as standalone workstations.

The Jabil SIM platform offers:

SIM building blocks include contact tooling, part presentation and feeders, manipulators, material handling systems, vision systems, and software.

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Automation | Jabil

Execute Automation Automation Testing Automated (5.5 …

Test automationcan automate some repetitive, but necessary tasks. But if youre not careful, you can quickly fall into the rabbit hole of chasing failing tests and lose sight of the equally necessary exploratory questions:Can our users easily complete the user journey? Are there potential bugs with this journey? Is the quality of this journey regressing?

Tests are brittle because the underlying mechanics of XPaths, CSS selectors, element IDs, and other descriptors are often tightly coupled with automated tests. This is particularly painful when you have apps with dynamic locators or locators that arent necessarily unique, such as can be the case with Angular and React apps.

A machine-learning-driven testing solution like mabl handles apps with dynamic UIs to help testers focus on the human side of testing, which makes the testing role so unique and powerful in the first place.

How does mabl do this? Its all built into her test adaptation ability.

As testers interact with themabl trainerto create a test, under the covers, mabl captures your user journeys using our own proprietary domain-specific language. She also gathers a great deal of DOM element attributes, properties, and visual details (like XPaths, tag names, class attributes, text, and various contextual identifiers) to help identify conceptually equivalent elements in future test runs of the journey.

So now that she has an understanding of the user journey, as well as all this additional information, mabl knows enough about each action in the journey to identify the appropriate element again, or find likely replacements for it as the UI changes.When theres only one likely candidate available, mabl will incrementally update her models for the corresponding step of the journey, so tests will stay up to date even after several successive UI changes.

Much of this information can even be applied to the same journey in other environments, so tests running through the same app will run consistently. As mabl gathers more information about replacement candidates across many apps, this will ultimately be used in more advanced models to prioritize future candidates across journeys and even across apps.

But the question is regardingrobustchanges; can mabl still adapt? What does mabl do when theres no obvious right answer?

mabl uses the collected information to be experimental. Based on past identifications of elements, she can rank partial and uncertain matches.To verify if the experimental action was correct, mabl evaluates how the remainder of the journey unfolds.

For example, she considers whether assertions pass, whether she can complete subsequent actions, and the visual appearance of the resulting app state compared to previous runs. If mabl determines that her fix for the test was successful,shell let you know what the proposed fix was.From here, you can simply reject mabls fix for the journey if it was incorrect, and mabl will remember that for future runs.

As mentioned at the onset, one of the difficulties with handling a variety of modern web frameworks like Angular and React is that they rely heavily on DOM manipulation and JavaScript execution. In particular, the DOM elements generated by these frameworks often include minimal and opaque attributes, making them hard to distinguish.

However,humansmust be able to recognize how to take a particular action across iterations of the UI; mabl gathers some of the same contextual clues.Although element attributes may be insufficient to identify a particular element for interaction during a journey, there are a variety of other dynamic or computed properties to be used, like inner text and rendered location or size.

Consider a simple example of a dynamically generated list in an Angular app withngFor(similarly withng-repeatin AngularJS 1.x or an array of generated list elements in React):

In this example, we have a screen that shows a list of user roles in a hypothetical app where each role can be clicked to get a detailed description of the role. This gets instantiated as a series of list (

  • ) elements, each containing an anchor () element with the clicks handled by Angular the href attribute of each anchor is the same, self-referential, # value even though a click results in displaying a different role description for each through DOM manipulation by Angular JavaScript code. Just considering the element attributes, each element looks identical (e.g., or just in React), but the inner text of each differs.

    We can train mabl to click on the roles in a specific order. On the bottom right is themabl trainer,recording each step as we interact with our Angular app:

    Below youll find the test output from the mabl app. You can see her collecting information at each step of the journey, then completing the test successfully (accompanying screenshots that mabl collects of the app at each step are shown on the right):

    So when our hypothetical app adds an A.3 role in the list ahead of B.0, mabl is still able to identify the Role B.0 anchor element by using the inner text properties of the anchor elements, and updates what she knows about that element.

    If the names of the roles were later changed (e.g., B.0 becomes Beta-Zero), mabl would know that the correct element was last seen in the 4th position of the list (both by visual location and by last known XPath). So she would rank the Beta-Zero link as the most likely candidate and evaluate the rest of the journey to determine that she had made a correct choice and update her knowledge about the new text for the element.

    With machine intelligence, mabl makes automated testing easy, low-maintenance, and available to every QA team.

    You can try mabl out in your own apps for free, atapp.mabl.com.

    Public link to Angular example:https://stackblitz.com/edit/mabl-angular-list-example?file=app%2Fapp.component.ts

    Public link to corresponding React example:https://stackblitz.com/edit/mabl-react-generated-array-example?embed=1&file=index.js

    Excerpt from:

    Execute Automation Automation Testing Automated (5.5 ...

  • Rencol Automation Ltd – Our Products

    Welding Positioners

    An extensive range of ISO and CE Certified, European Standard Welding Positioners. Our Welding Positioners range from 50kg capacity table-top machines for small workpieces, and up to heavy duty 200 tonnes capacity for very large workpieces.

    An extensive range of ISO and CE Certified, European Standard Welding Rotators and Turning Rolls. Our Welding Rotators range from 1 tonne capacity up to 650 tonnes capacity and are suitable for a wide range of tubular and cylindrical work pieces.

    A unique space-saving swing-arm racking system. Our racking has been specifically designed to meet the needs of Steel Stock Holders and Metal Workshops. Store materials of up to 3m or 6m length, including pipes, tubes, solid bars, rolled strips and more.

    An extensive range of high quality work holding and clamping solutions. Our Chucks, Self Centering Vices and Jaws are suitable for a broad range of workpiece shapes, weights and size. Compatible with most Welding Positioners.

    A comprehensive selection of large and small Lifting Magnets with lifting capacity from 70kg to 6 tonnes. Our Lifting Magnets are ideal for lifting flat and cylindrical work pieces including long pipes and large sheets.

    Electric and pneumatic thread tapping machines able to tap from M3 up to M42. Features include quick change collets with overload clutches, plus mounting accessories including work-tables or magnetic-feet.

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    Rencol Automation Ltd - Our Products

    HPE Automation :: Automation Specialists

    About HPE Automation

    Serving all of Florida, the Caribbean, and Central & South America since 1980!

    HPE Automation originally started in business as Hydraulic & Pneumatic Engineering in 1980. Our primary mission at that time was helping customers design advanced hydraulic systems for heavy duty equipment.

    Over the years we have selectively added additional lines: Intelligent Actuator, manufacturer of electric actuators and robots; Mitsubishi, one of the world leaders in robotics and motion control; and 80/20, manufacturer of aluminum extrusions used to build machine frames and guarding systems. HPE is proud to additionally represent a number of other fine companies that allow us to bring a complete automation solution to our customers.

    It is our belief that having a thorough knowledge on a reasonable number of product lines serves our customers much better than having little knowledge on a long list of lines.

    Thats what you get when you call HPE. Real people answer the phones, not machines, and we strive to answer your questions quickly. HPE Automation was founded on personal customer service. We know your time is valuable. Our knowledgeable staff can typically answer your technical questions without calling the factory.

    Need part numbers or a pdf on a certain component? Our Inside Sales people are here for you. Have a custom project in mind? Our Outside Sales people will be happy to visit your facility to personally review your requirements. They will work with you during the entire project and not turn you over to other people after your order is placed.

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    HPE Automation :: Automation Specialists

    What is Industrial Automation? – Sure Controls

    What is Industrial Automation?

    Industrial automation is the use of control systems, such as computers or robots, and information technologies for handling different processes and machineries in an industry to replace a human being. It is the second step beyond mechanization in the scope of industrialization.

    Earlier the purpose of automation was to increase productivity (since automated systems can work 24 hours a day), and to reduce the cost associated with human operators (i.e. wages & benefits). However, today, the focus of automation has shifted to increasing quality and flexibility in a manufacturing process. In the automobile industry, the installation of pistons into the engine used to be performed manually with an error rate of 1-1.5%. Presently, this task is performed using automated machinery with an error rate of 0.00001%.

    Lower operating cost: Industrial automation eliminates healthcare costs and paid leave and holidays associated with a human operator. Further, industrial automation does not require other employee benefits such as bonuses, pension coverage etc. Above all, although it is associated with a high initial cost it saves the monthly wages of the workers which leads to substantial cost savings for the company. The maintenance cost associated with machinery used for industrial automation is less because it does not often fail. If it fails, only computer and maintenance engineers are required to repair it.

    Although many companies hire hundreds of production workers for a up to three shifts to run the plant for the maximum number of hours, the plant still needs to be closed for maintenance and holidays. Industrial automation fulfills the aim of the company by allowing the company to run a manufacturing plant for 24 hours in a day 7 days in a week and 365 days a year. This leads to a significant improvement in the productivity of the company.

    Automation alleviates the error associated with a human being. Further, unlike human beings, robots do not involve any fatigue, which results in products with uniform quality manufactured at different times.

    Adding a new task in the assembly line requires training with a human operator, however, robots can be programmed to do any task. This makes the manufacturing process more flexible.

    Adding automated data collection, can allow you to collect key production information, improve data accuracy, and reduce your data collection costs. This provides you with the facts to make the right decisions when it comes to reducing waste and improving your processes.

    Industrial automation can make the production line safe for the employees by deploying robots to handle hazardous conditions.

    The initial investment associated with the making the switch from a human production line to an automatic production line is very high. Also, substantial costs are involved in training employees to handle this new sophisticated equipment.

    Industrial automation has recently found more and more acceptance from various industries because of its huge benefits, such as, increased productivity, quality and safety at low costs.

    Call us to discuss your calibration needs at:(877) 298-2258.

    I am the Electromechanical Manager at Sure Controls with a passion for delivering smiles to receive smiles. At Sure Controls we are passionate about helping keep Manufacturers competitive in the United States, specifically in the great state of WI. We have an extensive team of highly qualified experts looking to help improve safety, quality, and, efficiency. Our core competencies are focused on applications & markets requiring Thermal Process Control, Web Handling, and Robotics & Motion Control. My passion for automation extends into my passions for anything with an engine, running, and most importantly spending time with my family.

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    What is Industrial Automation? - Sure Controls

    Automation – Cloud process & workflow automation …

    Simplify cloud management with process automation

    Automate all of those frequent, time-consuming, and error-prone cloud management tasks. Azure Automation helps you focus on work that adds business value. By reducing errors and boosting efficiency, it also helps to lower your operational costs.

    In Automation, Windows PowerShell scripts and workflowsknown as runbookshelp you work smarter by handling the creation, deployment, monitoring, and maintenance of Azure resources and partner applications. The Azure Automation Runbook Gallery puts samples, utilities, and scenario runbooks at your fingertips, so that you can get up and running quickly with your automation tasks. Use the Runbook Gallery to browse and import runbooks to your Automation account without leaving the Azure portal

    Automation runbooks work with the Web Apps feature of Azure App Service, Azure Virtual Machines, Azure Storage, Azure SQL Database, and other popular Azure services. Use them with any service that offers public Internet APIs. Easy-to-read dashboard charts and log records make runbooks easier to monitor.

    By efficiently handling processes that span tools, systems, and department silos, Automation lets you deliver services faster and more consistently. Its highly reliable and you can create checkpoints to resume your workflow after unexpected errors, crashes, and network issues.

    Author and manage PowerShell configurations, import configuration resources, and generate node configurations, all in the cloud. Use Azure Configuration Management to monitor and automatically update machine configuration across physical and virtual machines, Windows or Linux, in the cloud or on-premises.

    Related products and services

    Quickly create powerful cloud apps for web and mobile

    Start your free account with Automation

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    Automation - Cloud process & workflow automation ...

    Automation – Cloud process & workflow automation | Microsoft …

    Simplify cloud management with process automation

    Automate all of those frequent, time-consuming, and error-prone cloud management tasks. Azure Automation helps you focus on work that adds business value. By reducing errors and boosting efficiency, it also helps to lower your operational costs.

    In Automation, Windows PowerShell scripts and workflowsknown as runbookshelp you work smarter by handling the creation, deployment, monitoring, and maintenance of Azure resources and partner applications. The Azure Automation Runbook Gallery puts samples, utilities, and scenario runbooks at your fingertips, so that you can get up and running quickly with your automation tasks. Use the Runbook Gallery to browse and import runbooks to your Automation account without leaving the Azure portal

    Automation runbooks work with the Web Apps feature of Azure App Service, Azure Virtual Machines, Azure Storage, Azure SQL Database, and other popular Azure services. Use them with any service that offers public Internet APIs. Easy-to-read dashboard charts and log records make runbooks easier to monitor.

    By efficiently handling processes that span tools, systems, and department silos, Automation lets you deliver services faster and more consistently. Its highly reliable and you can create checkpoints to resume your workflow after unexpected errors, crashes, and network issues.

    Author and manage PowerShell configurations, import configuration resources, and generate node configurations, all in the cloud. Use Azure Configuration Management to monitor and automatically update machine configuration across physical and virtual machines, Windows or Linux, in the cloud or on-premises.

    Related products and services

    Quickly create powerful cloud apps for web and mobile

    Start your free account with Automation

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    Automation - Cloud process & workflow automation | Microsoft ...

    Test automation – Wikipedia

    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.

    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.

    There are many approaches to test automation, however below are the general approaches used widely:

    Test automation tools can be expensive, and are usually employed in combination with manual testing. Test automation can be made cost-effective in the long term, especially when used repeatedly in regression testing. A good candidate for test automation is a test case for common flow of an application, as it is required to be executed (regression testing) every time an enhancement is made in the application. Test automation reduces the effort associated with manual testing. Manual effort is needed to develop and maintain automated checks, as well as reviewing test results.

    In automated testing the test engineer or software quality assurance person must have software coding ability, since the test cases are written in the form of source code which, when run, produce output according to the assertions that are a part of it. Some test automation tools allow for test authoring to be done by keywords instead of coding, which do not require programming.

    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]

    What to automate, when to automate, or even whether one really needs automation are crucial decisions which the testing (or development) team must make.[3] A multi-vocal literature review of 52 practitioner and 26 academic sources found that five main factors to consider in test automation decision are: 1) System Under Test (SUT), 2) the types and numbers of tests, 3) test-tool, 4) human and organizational topics, and 5) cross-cutting factors. The most frequent individual factors identified in the study were: need for regression testing, economic factors, and maturity of SUT.[4]

    A growing trend in software development is the use of testing frameworks such as the xUnit frameworks (for example, JUnit and NUnit) that allow the execution of unit tests to determine whether various sections of the code are acting as expected under various circumstances. Test cases describe tests that need to be run on the program to verify that the program runs as expected.

    Test automation mostly using unit testing is a key feature of agile software development, where it is known as test-driven development (TDD). Unit tests are written to define the functionality before the code is written. However, these unit tests evolve and are extended as coding progresses, issues are discovered and the code is subjected to refactoring.[5] Only when all the tests for all the demanded features pass is the code considered complete. Proponents argue that it produces software that is both more reliable and less costly than code that is tested by manual exploration.[citation needed] It is considered more reliable because the code coverage is better, and because it is run constantly during development rather than once at the end of a waterfall development cycle. The developer discovers defects immediately upon making a change, when it is least expensive to fix. Finally, code refactoring is safer when unit testing is used; transforming the code into a simpler form with less code duplication, but equivalent behavior, is much less likely to introduce new defects when the refactored code is covered by unit tests.

    Many test automation tools provide record and playback features that allow users to interactively record user actions and replay them back any number of times, comparing actual results to those expected. The advantage of this approach is that it requires little or no software development. This approach can be applied to any application that has a graphical user interface. However, reliance on these features poses major reliability and maintainability problems. Relabelling a button or moving it to another part of the window may require the test to be re-recorded. Record and playback also often adds irrelevant activities or incorrectly records some activities.[citation needed]

    A variation on this type of tool is for testing of web sites. Here, the "interface" is the web page. However, such a framework utilizes entirely different techniques because it is rendering HTML and listening to DOM Events instead of operating system events. Headless browsers or solutions based on Selenium Web Driver are normally used for this purpose.[6][7][8]

    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][bettersourceneeded]

    Another variation is script-less test automation that does not use record and playback, but instead builds a model[clarification needed] of the application and then enables the tester to create test cases by simply inserting test parameters and conditions, which requires no scripting skills.

    API testing is also being widely used by software testers due to the difficulty of creating and maintaining GUI-based automation testing. It involves directly testing APIs as part of integration testing, to determine if they meet expectations for functionality, reliability, performance, and security.[10] Since APIs lack a GUI, API testing is performed at the message layer.[11] API testing is considered critical when an API serves as the primary interface to application logic since GUI tests can be difficult to maintain with the short release cycles and frequent changes commonly used with agile software development and DevOps.[12][13]

    Continuous testing is the process of executing automated tests as part of the software delivery pipeline to obtain immediate feedback on the business risks associated with a software release candidate.[14][15] For Continuous Testing, the scope of testing extends from validating bottom-up requirements or user stories to assessing the system requirements associated with overarching business goals.[16]

    Testing tools can help automate tasks such as product installation, test data creation, GUI interaction, problem detection (consider parsing or polling agents equipped with test oracles), defect logging, etc., without necessarily automating tests in an end-to-end fashion.

    One must keep satisfying popular requirements when thinking of test automation:

    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.

    The main advantage of a framework of assumptions, concepts and tools that provide support for automated software testing is the low cost for maintenance. If there is change to any test case then only the test case file needs to be updated and the driver Script and startup script will remain the same. Ideally, there is no need to update the scripts in case of changes to the application.

    Choosing the right framework/scripting technique helps in maintaining lower costs. The costs associated with test scripting are due to development and maintenance efforts. The approach of scripting used during test automation has effect on costs.

    Various framework/scripting techniques are generally used:

    The Testing framework is responsible for:[17]

    Test automation interface are platforms that provide a single workspace for incorporating multiple testing tools and frameworks for System/Integration testing of application under test. The goal of Test Automation Interface is to simplify the process of mapping tests to business criteria without coding coming in the way of the process. Test automation interface are expected to improve the efficiency and flexibility of maintaining test scripts.[18]

    Test Automation Interface consists of the following core modules:

    Interface engines are built on top of Interface Environment. Interface engine consists of a parser and a test runner. The parser is present to parse the object files coming from the object repository into the test specific scripting language. The test runner executes the test scripts using a test harness.[18]

    Object repositories are a collection of UI/Application object data recorded by the testing tool while exploring the application under test.[18]

    Tools are specifically designed to target some particular test environment, such as Windows and web automation tools, etc. Tools serve as a driving agent for an automation process. However, an automation framework is not a tool to perform a specific task, but rather an infrastructure that provides the solution where different tools can do their job in a unified manner. This provides a common platform for the automation engineer.

    There are various types of frameworks. They are categorized on the basis of the automation component they leverage. These are:

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    Test automation - Wikipedia

    Automation (Automation) – msdn.microsoft.com

    This documentation is archived and is not being maintained.

    Automation (formerly called OLE Automation) enables software packages to expose their unique features to scripting tools and other applications.

    Automation uses the Component Object Model (COM), but may be implemented independently from other OLE features, such as in-place activation.

    While Automation runs on several platforms, the focus of this content is on applications that run on the Microsoft Windows operating system.

    To get the most out of this content, you should be familiar with:

    The Microsoft Windows programming environment.

    The OLE protocols that are implemented through dynamic-link libraries (DLL) and used in conjunction with other Windows-based programs.

    The Component Object Model (COM).

    Overview of Automation

    Automation enables software packages to expose their unique features to scripting tools and other applications.

    Exposing ActiveX Objects

    Exposing objects makes them available for programmatic use by other applications and programming tools.

    Accessing ActiveX Objects

    To access exposed objects, you can create ActiveX clients using Visual Basic, Microsoft Visual C++, Microsoft Excel, and other applications and programming languages that support the Automation technology.

    Implementing the IDispatch Interface

    ActiveX or OLE objects can implement the IDispatch interface for access by ActiveX clients, such as Visual Basic.

    Standard Objects and Naming Guidelines

    This section describes the standard ActiveX objects, and discusses naming guidelines for creating objects that are unique to applications, especially user-interactive applications that support a multiple-document interface (MDI).

    Type Libraries and the Object Description Language

    Type libraries enable others to use ActiveX objects you have created.

    User-Defined Data Types

    User-defined data types (UDT) are groups of related data items declared as one type of information.

    Reference

    Contains the reference content for Automation.

    Appendices

    Additional technical details related to Automation.

    View original post here:

    Automation (Automation) - msdn.microsoft.com

    Hong Kong’s financial bosses want staff to adapt to automation at work and upgrade their skill sets, survey finds – South China Morning Post

    Hong Kongs top financial executives are embracing automation in the workplace and urging employees to enhance their problem-solving skills and adapt as machines replace manual duties, a survey has found.

    Recruitment consultancy Robert Half polled 100 chief financial officers and financial directors at major companies in a range of industries, including business services, marketing and logistics. The executives were questioned about their views on automation and expectations for finance staff.

    Some 72 per cent agreed that office automation would not cause a loss of jobs, but instead a shift in the skills required of financial professionals.

    Rather than simply hand over control to robots, finance professionals can actively equip themselves with the skills required to leverage the capabilities of automation, said Adam Johnston, managing director of Robert Half Hong Kong.

    Using more advanced technology in the workplace requires additional, well-developed skills, such as advanced data analysis, interpretation skills, and decision-making skills.

    The survey found 54 per cent of corporate financial bosses wanted employees to more deeply develop their problem-solving skills; 53 per cent said staff should have strategic vision for the company; 34 per cent wanted workers to adapt; and 33 per cent emphasised communication skills.

    Automative solutions are increasingly being adopted in the corporate world, from technology that frees accountants from manual calculations and tax filings, to self-checkout machines at supermarkets and department stores.

    The survey also showed 55 per cent of financial bosses believed automation could bring them better decision-making capabilities; 50 per cent thought it would free up employees to take on more value-added work; and 49 per cent said they foresaw increased efficiency and productivity.

    Contrary to many perceptions about the potential dangers of automation, the benefits of new technologies are attainable for companies who embrace workplace automation rather than resist it, Johnston said.

    While automation may diminish some routine manual roles, it will lead to faster decision making, reduce the risk of errors, and eliminate stresses associated with laborious task-management responsibilities.

    The poll also found 51 per cent of financial chiefs believed their staff could learn new skills more quickly by embracing automation. But 69 per cent admitted companies still had a long way to go in adapting to the phenomenon.

    Change is happening and companies need to adapt to an increasingly automated workforce though theres still a long way to go, Johnston said. It will be an ongoing process for companies to fully adapt to change, and Hong Kong organisations understand they need to refocus the workforce to truly realise the benefits of combining the right human skills with new technology.

    See original here:

    Hong Kong's financial bosses want staff to adapt to automation at work and upgrade their skill sets, survey finds - South China Morning Post

    Could cloud automation solve patient matching challenges … – Healthcare IT News

    As providers drive patient engagement initiatives, population health management programs and quality improvement projects, they're still stymied by challenges with patient identification.

    In fact, many organizations have troves of electronic health records that can't avail themselves of analytics because they can't be matched with other records, according to a new report in the Journal of AHIMA.

    In the article, "Applying Innovation to the Patient Identification Challenge," Lorraine Fernandes, president-elect of the International Federation of Health Information Management Associations, Jim Burke, EMPI and HIE practice lead at Himformatics and Michele OConnor, services manager at data governance startup Collibra, spotlight "innovations that can move the healthcare industry beyond the traditional human resource-heavy, back-end retrospective approach to accurate, automated patient identification and record matching."

    [Also:Cloud-based master patient index could offer patient-matching relief]

    Those new approaches might include augmentation using data from outside healthcare from credit bureaus and government programs, for instance or better leveraging emerging neural network technology to sift through ambiguous patient ID information or analyze digital fingerprints or facial recognition data.

    That said, "the key to innovation in patient identity goes beyond staying up to date with recent technologies it involves a strategic data governance process, said AHIMA interim CEO Pamela Lane.

    Once a solid plan is in place, professionals can leverage the digital assets, such as cloud-based services and other data services, to approach this issue in a complete manner," she said.

    Real-time automation offered by the cloud is a central focus of the AHIMA article, and the authors see big promise for cloud technology's ability to ensure records stay up-to-date.

    "The mainstream acceptance of cloud computing has opened an avenue to incorporate secure external data services into critical business processes such as patient registration, data exchange, and patient identification," they said.

    "Cloud-based data services enable the infusion of referential or authoritative data that may come from large public databases outside healthcare, such as credit bureaus, loan servicing organizations, or telecommunications. These non-healthcare databases and associated business processes capture and validate identity data, update it continuously with each transaction, and retain the history of the persons demographics."

    That could help address one of the key hurdles to accurate patient matching: the fact that patients' demographics can change over time, and between encounters at different facilities.

    "Real-time automation of patient matching with external data also addresses a critical latency issue associated with manual stewardship efforts, which typically dont resolve the ambiguous linkages/tasks (those records not automatically linked by an algorithm) until days or months after a patient presents for care."

    Twitter:@MikeMiliardHITN Email the writer: mike.miliard@himssmedia.com

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    Could cloud automation solve patient matching challenges ... - Healthcare IT News

    Rockwell Automation: Falling Behind? – Barron’s


    Barron's
    Rockwell Automation: Falling Behind?
    Barron's
    Over the past decade, ROK management often claim that Process automation represents the #1 growth opportunity for the company, but its sales in this market have barely grown in recent years, despite its much smaller sales base compared with established ...
    JP Morgan Upgrades Rating On Rockwell Automation, Inc. (ROK) To NeutralModern Readers
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    all 23 news articles »

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    Rockwell Automation: Falling Behind? - Barron's

    Aging Japan Wants Automation, Not Immigration – Bloomberg – Bloomberg

    Japantends to be less wary of automation, even in nursing homes.

    Japan's next boom may be at hand, driven by the very thing that is supposed to be bad for its economy.

    Japan's aging and shrinking populationhas been partly blamed for the on-again, off-again nature of growth and deflation the past three decades. Lately, it's been drivingadifferent and just as powerful idea: In the absence of large-scale immigration, the only viable solution for many domestic industries is toplow money into robots and information technology more generally.

    Humans will still be needed, of course, and that's behind a separate by-product of Japan's demographic challenges that I wrote about during a visit there last month. With unemployment down to 2.8 percent, companies are increasingly realizing they need to pay up to attract and keep qualified personnel.The other option -- increased immigration -- is politically difficult.

    Japanese tech innovation in yesteryear was about gadgets and games designed to give pleasure. Think Sony's iconic Walkman and Nintendo games. Now the demand in Japan comes from an older demographic. A nursing home may well be the place to look for the next wave.

    As my colleagues Henry Hoenig and Keiko Ujikane wrote this week, an owner of nursing homes in the Tokyo area plans to spend 300 million yen ($2.7 million) on software to make life easier for employees and residents.

    Hoenig, Toru Fujioka and I heard anecdotes like that numerous times during a December trip to Kadoma, a city near Osaka. The area was once an industrial powerhouse that rode Japan's post-1945 industrial surge with local employers like Panasonic Corp. Now, Mayor Kazutaka Miyamoto frets openly about whether there will simply be enough wage earners to pay the taxes to maintain hospitals, public transport and schools (for those few children who are born and actually stay).

    Miyamoto does not share the worries that dominate conversations about robots and AI in the West. He almost laughed when pressed on the issue in a conversation in his office. What if robots eliminate jobs? He said that would be a good thing. He told us to look around: There aren't many people on the streets in the middle of a weekday.

    He doesn't see any real appetite for immigration on a scale that would substitute for more robots and AI. Few businesses we spoke to that day did. One small manufacturer insisted that immigration would dilute Japan's homogeneous society. He would happily get a few robots if he could afford them. Wait until the price comes down.

    Bank of America Merrill Lynch forecast IT investment in Japan to rise as much as 9 percent annually in coming years, with the difference in software investment per worker versus the U.S. falling to 5 to 1 by 2020 from about 10 to 1 now.

    The budding surge isn't limited to manufacturers. Non-manufacturing companies planned 2.4 trillion yen in software investment in the fiscal year ending in March 2018, according to the Bank of Japans Tankan survey, released in July. That would be the most since 2009. Retailers plan to spend 146.4 billion yen on software this fiscal year, the most on record for data going back to 1999.

    Another reason Japanese people don't share American angst about robotics: Astro Boy. Cultural affection for the anime character has made it easier for people to feel more relaxed about robots and technology in their lives.

    Just as well. That nurse assisting you in retirement may soon be a robot, along with the dog that keeps you company.

    This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.

    To contact the author of this story: Daniel Moss at dmoss@bloomberg.net

    To contact the editor responsible for this story: Philip Gray at philipgray@bloomberg.net

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    Aging Japan Wants Automation, Not Immigration - Bloomberg - Bloomberg

    KPMG And Automation Anywhere Form Alliance To Deliver Robotic Process Automation Solutions To Clients – Markets Insider

    NEW YORK, Aug. 23, 2017 /PRNewswire/ --KPMG LLP and Automation Anywhere, a global leader in enterprise robotic process automation (RPA), have announced an alliance to help clients automate manual business processes to achieve cost savings, manage capacity increases effectively, and increase operational efficiency.

    "Across nearly every industry, business leaders are evolving their employees' roles by shifting repeatable tasks like data entry and billing to RPA platforms, allowing their employees to remain more focused on driving innovative and creative approaches to solve larger business issues, such as enhancing a customer's experience," said Todd Lohr, Principal, Advisory, KPMG LLP. "During the past two years, KPMG has completed multiple implementations built on Automation Anywhere's platform. Together, we're helping clients improve decision making across the enterprise, enhance quality, reduce risk and effectively provide governance of RPA programs through a structured framework."

    The global market for RPA software and services reached $271 million in 2016 and is expected to grow to $1.2 billion by 2021 at a compound annual growth rate of 36 percent, according to HfS Research, The Services Research Company. This comesas organizations increasingly automate processes in most applications, including legacy apps where investment costs for traditional automation are prohibitive. KPMG's 2017 Global CEO study noted that 57 percent of CEOs are investing in workforce training over the next three years to help employees keep pace with RPA and other emerging technologies.

    "With this alliance, KPMG and Automation Anywhere will help companies define and execute their RPA strategies, improving efficiency and automating routine tasks," said Mihir Shukla, CEO and cofounder, Automation Anywhere. "Our industry-leading technology, combined with KPMG's experience and deep understanding of their client's business challenges, will help organizations reap the greatest benefits from automation executed intelligently."

    Automation Anywhere offers a user-friendly platform with more than 100 prebuilt commands that can be configured to automate processes. Its technology can perform either surface or graphical user interface (GUI) automation in addition to more sophisticated methods, such as Web service and database calls.

    The alliance with Automation Anywhere is the latest addition to KPMG's growing alliance ecosystem of Intelligent Automation technology companies; offering clients tailored solutions to deliver the most viable automation scenarios.

    Recently, industry analyst HfS Research named KPMG a "High Performer" in its HfS Blueprint Report: Intelligent Automation 2016. The HfS study says KPMG is "at the forefront of educating the market on the implications of Intelligent Automation from a sourcing and process consulting perspective," and "building out the broadest Intelligent Automation capabilities among the Big 4," citing its alliance network with technology companies, such as Automation Anywhere, as a proof point of its strong ranking.

    About KPMG LLP KPMG LLP, the audit, tax and advisory firm (www.kpmg.com/us), is the independent U.S. member firm of KPMG International Cooperative ("KPMG International"). KPMG International's independent member firms have 189,000 professionals, including more than 9,000 partners, in 152 countries.Not permissible for KPMG audit clients and their affiliates.

    About Automation AnywhereAutomation Anywhere is one of the leading companies with an enterprise-grade RPA platform with built-in cognitive solutions and analytics. Over 695 of the world's largest brands use the platform to manage and scale their business processes faster, with near-zero error rates, while dramatically reducing operational costs. Based on the belief that people who have more time to create, think and discover build great companies, Automation Anywhere has provided one of the world's leading RPA and cognitive technology to lead financial services, BPO, healthcare, technology and insurance companies across more than 90 countries for over a decade. For additional information visit http://www.automationanywhere.com.

    Contact:

    Derek Brown

    KPMG LLP

    603-496-5865

    class="prnews_a" rel="nofollow">derekbrown@kpmg.com

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    KPMG And Automation Anywhere Form Alliance To Deliver Robotic Process Automation Solutions To Clients - Markets Insider

    Aging Japan Wants Automation, Not Immigration – Bloomberg

    Japantends to be less wary of automation, even in nursing homes.

    Japan's next boom may be at hand, driven by the very thing that is supposed to be bad for its economy.

    Japan's aging and shrinking populationhas been partly blamed for the on-again, off-again nature of growth and deflation the past three decades. Lately, it's been drivingadifferent and just as powerful idea: In the absence of large-scale immigration, the only viable solution for many domestic industries is toplow money into robots and information technology more generally.

    Humans will still be needed, of course, and that's behind a separate by-product of Japan's demographic challenges that I wrote about during a visit there last month. With unemployment down to 2.8 percent, companies are increasingly realizing they need to pay up to attract and keep qualified personnel.The other option -- increased immigration -- is politically difficult.

    Japanese tech innovation in yesteryear was about gadgets and games designed to give pleasure. Think Sony's iconic Walkman and Nintendo games. Now the demand in Japan comes from an older demographic. A nursing home may well be the place to look for the next wave.

    As my colleagues Henry Hoenig and Keiko Ujikane wrote this week, an owner of nursing homes in the Tokyo area plans to spend 300 million yen ($2.7 million) on software to make life easier for employees and residents.

    Clear thinking from leading voices in business, economics, politics, foreign affairs, culture, and more.

    Share the View

    Hoenig, Toru Fujioka and I heard anecdotes like that numerous times during a December trip to Kadoma, a city near Osaka. The area was once an industrial powerhouse that rode Japan's post-1945 industrial surge with local employers like Panasonic Corp. Now, Mayor Kazutaka Miyamoto frets openly about whether there will simply be enough wage earners to pay the taxes to maintain hospitals, public transport and schools (for those few children who are born and actually stay).

    Miyamoto does not share the worries that dominate conversations about robots and AI in the West. He almost laughed when pressed on the issue in a conversation in his office. What if robots eliminate jobs? He said that would be a good thing. He told us to look around: There aren't many people on the streets in the middle of a weekday.

    He doesn't see any real appetite for immigration on a scale that would substitute for more robots and AI. Few businesses we spoke to that day did. One small manufacturer insisted that immigration would dilute Japan's homogeneous society. He would happily get a few robots if he could afford them. Wait until the price comes down.

    Bank of America Merrill Lynch forecast IT investment in Japan to rise as much as 9 percent annually in coming years, with the difference in software investment per worker versus the U.S. falling to 5 to 1 by 2020 from about 10 to 1 now.

    The budding surge isn't limited to manufacturers. Non-manufacturing companies planned 2.4 trillion yen in software investment in the fiscal year ending in March 2018, according to the Bank of Japans Tankan survey, released in July. That would be the most since 2009. Retailers plan to spend 146.4 billion yen on software this fiscal year, the most on record for data going back to 1999.

    Another reason Japanese people don't share American angst about robotics: Astro Boy. Cultural affection for the anime character has made it easier for people to feel more relaxed about robots and technology in their lives.

    Just as well. That nurse assisting you in retirement may soon be a robot, along with the dog that keeps you company.

    This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.

    To contact the author of this story: Daniel Moss at dmoss@bloomberg.net

    To contact the editor responsible for this story: Philip Gray at philipgray@bloomberg.net

    Go here to read the rest:

    Aging Japan Wants Automation, Not Immigration - Bloomberg

    The self-driving car of security automation – CSO Online

    By Kumar Saurabh, Contributor, CSO | Aug 22, 2017 7:01 AM PT

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    When I speak with CISOs about automation in cybersecurity, it can conjure up parallels to self-driving cars. After all, if machine learning can create cars that drive themselves, why cant we have self-driving security?

    Its a bit early and optimistic, however, to say machine learning and automation will immediately solve all cybersecurity challenges, if ever. Given the threat landscapes inevitable evolution, it will most likely remain an arms race between the defenders and the attackers for the near and long term.

    Alternatively, the promise of a machine doing what we thought only humans could do is quickly approaching reality. Theres a lot of early results, hype and even more potential. In fact, this is also true for self-driving cars. The Washington Post highlighted the different levels of development in regards to autonomy in self-driving cars established by the Society of Automotive Engineers (SAE).

    Specifically, the evolutionary path to the much-hyped fully autonomous car with each stage providing exponential value.

    Similarly in cybersecurity, increasing levels of intelligent automation will also provide exponential benefits. If we compare the levels in the auto industry and apply them to the world of cybersecurity, level zero has very little automation while level five is most autonomous.

    On one hand, you have solutions such as User Behavior Analytics and Network Traffic Analysis that profess to automatically analyze normal behavior and alert anything abnormal. The drawback is the inability to understand the full context of an environment or situation, which results in a tendency to generate too many false positives and requires significant analyst involvement to triage.

    On the other hand, you have early orchestration solutions that can partially automate some of the easier and repeatable actions during an incident response process. While this solution is adequate to collect relevant information for an investigation process, the actual decision making is delegated to the analyst.

    In essence, Level 2 automates actions and repeatable tasks, but not the decision making and judgments that require intelligence.

    The first is full, end-to-end alert triage automation. This is where the system has the intelligence, based on context and awareness of an alerts severity, to make decisions and accept feedback from human analysts. Though more advanced systems are able to provide a full explanation of their scoring, analysts still need to review the systems results. However, 95 percent of the overhead work they used to have to do is effectively eliminated.

    Second is automated threat hunting that is possible after expert analysts map out the logic they would use in an investigation. The system applies cognitive automation to intelligently hunt for threats 24/7, but at a scale with which human analysts cant keep up. This approach can be made more manageable with prescriptive logic flows for specific use cases, such as Threat Hunter for CloudTrail or Threat Hunter for Office 365.

    Such a solution does not exist today, but is often what CISOs hope for when they hear security automation. Achieving this nirvana will require significant advancements in machine learning and computing power.

    Security operations technologies have greatly evolved in the past decade. The first big wave was driven by log aggregation and analytics, followed by predictive technologies. The next generation of solutions will be Prescriptive Security Intelligence, offering specific solutions to typical security use cases. The industry will take time to enter a fully autonomous state. If security automation is your end goal, start by looking for Level 3 security solutions that can drive 80 percent of the way to your destination.

    This article is published as part of the IDG Contributor Network. Want to Join?

    Kumar Saurabh is the CEO and co-founder of security intelligence automation platform LogicHub. Kumar has 15 years of experience in the enterprise security and log management space leading product development efforts at ArcSight and SumoLogic, which he left to co-found LogicHub.

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    The self-driving car of security automation - CSO Online

    PMMI Set To Release Automation Report – Automation World

    While the packaging and processing industries have always been key adopters of automation technologies, there is a growing trend across these industries to use greater amounts of automation than they previously have.

    According to a new report from PMMI, The Evolution of Automation 2017 for the processing and packaging, food, beverage, pharmaceutical and personal care industries, there are six key trends driving greater plant floor automation use across these industries. (Editors note: PMMI Media Group, publisher of Automation World, is owned by PMMI, The Association for Packaging and Processing Technologies.) Those trends are:

    Though these factors are driving greater interest in and use of automation across the industries surveyed, the actual implementation of automation technologies in these industries is progressing at a moderate rate due to several factors. The PMMI report highlights the following reasons for the steady, yet slow, adoption of increased levels of automation across the packaging and processing industries:

    One chart in the report, A Projection of How Automation Will Advance in Processing and Packaging Companies, (shown above) indicates that all aspects of machine and software automation will increase significantly over the next decade. This prediction is based on the collective average response of survey participants, with larger companies automating and integrating faster; small to medium-sized enterprises (SMEs) are also investing more, but at a slower rate.

    The report notes that SMEs are embracing automation not just to optimize production processes, but also to survive in an increasingly faster-paced market driven by supply chain partner and consumer demands. Though one of the drawbacks to greater automation use for SMEs is the cost of the technology, the report highlights three key benefits that can help offset a significant portion of those costs:

    When it comes to spending on automation technologies, over half of the end users taking part in the research said, There is not a separate line item specifically for automation, but capital budgets are increasing. Despite this lack of spending clarity from a majority of respondents, one quarter of respondents noted that they do have a budget specifically set aside for automation investments.

    Breaking out respondents comments to assess spending trends across the vertical industries covered in the study, the PMMI report shows:

    The full report from PMMI will be released following PACK EXPO 2017 at http://www.pmmi.org/research. Highlights from report will also be showcased during the PACK EXPO event in Las Vegas, September 25-27.

    Link:

    PMMI Set To Release Automation Report - Automation World

    Global Terminal Automation Market in the Oil and Gas Industry 2017-2021 – Key Vendors are ABB, Emerson, Implico … – PR Newswire (press release)

    The global terminal automation market in the oil and gas industry to grow at a CAGR of 6.72% during the period 2017-2021.

    Global Terminal Automation Market in the Oil and Gas Industry 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report also includes a discussion of the Key vendors operating in this market. To calculate the market size, the report considers new installations, value, and aftermarket services market.

    Terminal automation is a system that eases the product handling at the terminal and enables integration of these operations with the business software. It is used to measure, control, automate, and report all the exchanges and transfers. It offers complete management from receipt of the product to inventory control to dispatch recording. Terminal automation systems are deployed in various applications in the oil and gas terminals. Oil terminals include truck and pipeline terminals, whereas gas terminals include liquefaction liquid natural gas (LNG) and regasification LNG terminals.

    One trend in the market is emergence of IoT and cloud integration. IoT is the next generation technology for all the applications due to its superior advantages in connectivity.

    According to the report, one driver in the market is global expansion in oil terminals. Oil terminals are required to store the crude oil and petroleum products. The tank terminal industry is one of the spurring industries since last decade. The oil terminal owners made profits owing to the increased trade of oil and gas and increasing demand for storing the product in the high oil and gas prices scenario.

    However, in low oil prices scenario, the industry is propelled by the trading and marketing activities by the countries. With low crude oil prices, oil and gas supply chain market structure is contango (a situation in which future value of the commodity is higher compared to spot pricing).

    Further, the report states that one challenge in the market is huge capital investment and business downtime. Terminal automation provides several benefits ranging from increased operational efficiency to lowering the manual interference.

    Key vendors

    Other prominent vendors

    Key Topics Covered:

    Part 01:Executive summary

    Part 02: Scope of the report

    Part 03: Research Methodology

    Part 04: Introduction

    Part 05: Market landscape

    Part 06: Market segmentation by product

    Part 07: Market segmentation by application

    Part 08: Geographical segmentation

    Part 09: Decision framework

    Part 10: Drivers and challenges

    Part 11: Market trends

    Part 12: Vendor landscape

    Part 13: Key vendor analysis

    Part 14: Appendix

    For more information about this report visit https://www.researchandmarkets.com/research/ccf8nt/global_terminal

    Media Contact:

    Research and Markets Laura Wood, Senior Manager press@researchandmarkets.com

    For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

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    Global Terminal Automation Market in the Oil and Gas Industry 2017-2021 - Key Vendors are ABB, Emerson, Implico ... - PR Newswire (press release)

    Automation, Unemployment and Moravec’s Paradox | National Review – National Review

    Writing in the Guardian, heres Larry Elliott on automation.The whole article is well worth a read, even if its too simplistic to argue (as he does) that the Luddites were wrong. Over the longish term they most certainly were. The industrial revolution paved the way for an immense improvement in living standards. But what that happy history omits is the fact that it took a while to do so, a phenomenon known as the Engels pause:

    In the first half of the nineteenth century, the real wage [in Britain] stagnated while output per worker expanded. The profit rate doubled and the share of profits in national income expanded at the expense of labour and land. After the middle of the nineteenth century, real wages began to grow in line with productivity, and the profit rate and factor shares stabilized.

    Put another way, the Luddites were (broadly) right about what the new technology could do totheir prospects and those of their children, but hugely wrong about what it would mean for their grandchildren.

    Its worth noting that the Engels Pause was also a time of growing popular political discontent in Britain,

    Convinced by the logic that the hit to demand from mass unemployment will (to oversimplify) constrain the extent to which tasks are handed over to the robots, Elliott argues that the robots will create more jobs. More jobs? Im not convinced, but hes on stronger ground when he asks this:

    [W]hat if these jobs are less good and less well paid than the jobs that automation kills off? Perhaps the weak wage growth of recent years is telling us something, namely that technology is hollowing out the middle class.

    Robots are likely to result in a further hollowing out of middle-class jobs, and the reason is something known as Moravecs paradox. This was a discovery by AI experts in the 1980s that robots find the difficult things easy and the easy things difficult. Hans Moravec, one of the researchers, said: It is comparatively easy to make computers exhibit adult-level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility. Put another way, if you wanted to beat Magnus Carlsen, the world chess champion, you would choose a computer. If you wanted to clean the chess pieces after the game, you would choose a human being.

    In the modern economy, the jobs that are prized tend to be the ones that involve skills such as logic. Those that are less well-rewarded tend to involve mobility and perception. Robots find logic easy but mobility and perception difficult.

    It follows, says Joshi [an economist at BCA Research], that the jobs that AI can easily replicate and replace are those that require recently evolved skills like logic and algebra. They tend to be middle-income jobs. Conversely, the jobs that AI cannot easily replicate are those that rely on the deeply evolved skills like mobility and perception. They tend to be lower-income jobs. Hence, the current wave of technological progress is hollowing out middle-income jobs and creating lots of lower-income jobs.

    Recent developments in the labour market suggest this process is already well under way. In both Britain and the US, economists have been trying to explain why it has been possible for jobs to be created without wage inflation picking up. The relationship between unemployment and pay the Phillips curve appears to have broken down.

    But things become a bit easier to understand if the former analysts and machine operators are now being employed as dog walkers and waiting staff. Employment in total might be going up, but with higher-paid jobs being replaced by lower-paid jobs. Is there any hard evidence for this?

    Well, Joshi says it is worth looking at the employment data for the US, which tends to be more granular than in Europe. For many years in America, the fastest-growing employment subsector has been food services and drinking places: bar tenders and waiters, in other words.

    AI is still in its infancy, so the assumption has to be that this process has a lot further to run. Wage inflation is going to remain weak by historic standards, leading to debt-fuelled consumption with all its attendant risks. Interest rates will remain low. Inequality, without a sustained attempt at the redistribution of income, wealth and opportunity, will increase. And so will social tension and political discontent.

    The Guardian is what it is, thus the call for sustained redistribution, but the risk of social tension and political discontent cannot be wished away. Andthe risk of that will rise significantly asautomation gnaws its way higher up the food chain.

    And gnawing away is what its doing. Here (for example) is a recent story from CNBC on radiologists:

    Arterys, a medical imaging startup, reads MRIs of the heart and measures blood flow through its ventricles. The process usually takes a human 45 minutes. Arterys can do it in 15 seconds.The remarkable power of todays computers has raised the question of whether humans should even act as radiologists. Geoffrey Hinton, a legend in the field of artificial intelligence, went so far as to suggest that schools should stop training radiologists. Those on the front lines are less dramatic.

    Theres a misunderstanding that someone can program a bot that will take over everything the radiologist does, said Carla Leibowitz, head of strategy and marketing at Arterys. Radiologists still use the product and still make judgment calls. [We're] trying to make products to make their lives easier.

    According to Dreyer, a radiologist spends about half the day examining images. The rest is spent communicating with patients and other physicians. Theres only so much that automated systems can take over.

    Our desire to have somebody in control, I dont think that will go away anytime soon, said General Leung, cofounder of MIMOSA Diagnostics, which is testing a smartphone device that uses AI to aid diabetics. Someones always going to want a person to have made the decision.

    True, but what will they be paid to make that decision?

    Meanwhile, at the lower end of the scale, the traditional retail sector is taking a battering from the impact of e-commerce, but so far as retail workers are concerned, the hit from the switch to online shopping will be both direct (store closings) and, in a sense, indirect, as those stores that survive turn to automation to defend their profitability:

    A recent analysis by Cornerstone Capital Group suggests that 7.5m retail jobs the most common type of job in the country are at high risk of computerization, with the 3.5m cashiers likely to be particularly hard hit. Another report, by McKinsey, suggests that a new generation of high tech grocery stores that automatically charge customers for the goods they take no check-out required and use robots for inventory and stocking could reduce the number of labor hours needed by nearly two-thirds. It all translates into millions of Americans jobs under threat.

    None of this will happen overnight, and there will still be room for employees to work alongside them, but there will be fewer of them and what will they be paid?

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    Automation, Unemployment and Moravec's Paradox | National Review - National Review

    Study: Retail automation market worth $18.9B by 2023 – Retail Dive

    Dive Brief:

    The retail automation market is expected to be worth more than $18.9 billion by 2023, expanding at a compound annual growth rate of more than 10.9% between this year and 2023, according to new market research from Research and Markets.

    The new report states that the imminent market growth is being "propelled by the growing deployment of self-automated technologies" such as RFID and others by retailers like supermarkets, hypermarkets and single item stores.

    Asia-Pacific is expected to be the international region with the highest CAGR during the forecast period. The retail automation market in APAC is expected to grow significantly there, especially in China, India and Japan,because of factors such as rising employee wages and overall growth in employment, the research states. These factors drive the consumption of retail products, which is ultimately expected to boost the retail automation market in this region.

    This research suggests that supermarkets are leading the way in adopting self-automated technologies to enhance customer experience, improve inventory management and modernize other processes. Of course, we didn't need to hear that from the number crunchers to believe it, as large grocery retailers are already racing one another to see who can be the first to widely adopt technologies that allow them to accomplish things like eliminating checkout lines.

    Walmart may have just jumped ahead of Amazon in that race by installing a mobile barcode scanning capabilityinto several of its stores. Even last year, Panasonic unveiled what it described as a completely automated checkout machine. The research covers much more than just self-automated checkout, though, including store solutions like Tally, theSimbe Robotics robot that scans store shelves to monitor inventory levels and trends to help stores track inventory more accurately.

    On the technology side, a variety of companies not just Panasonic and Simbe are working to enable further automation of retail processes. The Research and Market press release describes the efforts of one such company Datalogic but companies such as Zebra Technologies, Honeywell Scanning and Mobility, NCR and many others are also contributing to various types of efficiency-enabling automation technologies.

    That doesn't mean the technology will transition without friction. A few months ago, a different research report raised concerns over the retail automation trend, saying that it could replace up to 7.5 million retail jobsin the coming years. Indeed, the new Research and Markets report acknowledges that the "balance between retail automation and employment" is a "burning issue."

    Even as retailers maintain that automation is meant to enhance and assist store associates and other personnel, there is no getting around the notion that more automation in most cases means fewer jobs. That being said, if retailers are to position their brick-and-mortar stores to survive in a changed retail landscape, it's a transition they might need to make.

    Top image credit: SoftBank Robotics

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    Study: Retail automation market worth $18.9B by 2023 - Retail Dive