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000-017 Foundations of Tivoli Process Automation Engine

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000-017 exam Dumps Source : Foundations of Tivoli Process Automation Engine

Test Code : 000-017
Test Name : Foundations of Tivoli Process Automation Engine
Vendor Name : IBM
: 92 Real Questions

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IBM Foundations of Tivoli Process

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IBM reshapes Tivoli with raft of company management items | Real Questions and Pass4sure dumps

IBM has introduced greater than 30 new and upgraded programs administration products because the groundwork of its automated and server integration-pleasant business affect administration approach for Tivoli techniques consumers.

The newest portfolio is designed to aid valued clientele close the hole between business manner consequences and infrastructure administration of complicated multivendor techniques through a predictive-based mannequin.

The method will lend itself toward pinpointing and prioritising advantage problems surrounding software, server, or community-level administration earlier than performance or IT operation is affected, noted Carl Kessler, vice-president of products, for the Tivoli IBM software group.

Kessler signalled that IBM Tivoli service level marketing consultant (SLA) changed into probably the most colossal new items. The product offers customers the means to foretell outages in accordance with performance analysis metrics and managed provider degrees.

"The precise problems their customers face are a lot greater [about] predicting [issues]," Kessler talked about. "lots of the time or not it's the mundane that maintain things from working neatly. they are able to address that."

Kessler mentioned future types of IBM Tivoli carrier degree marketing consultant, arriving as early as subsequent year, should be able to plug into an assortment of methods administration platforms in addition to Tivoli.

an additional predominant product announcement from IBM is the IBM Tivoli enterprise facts Warehouse. built to use DB2 know-how, the information warehouse answer is capable of archiving programs management statistics from distinct providers across a variety of domains.

via consolidation of efficiency information throughout distinctive functions and company ambitions, IBM Tivoli business facts Warehouse is bringing Tivoli shoppers IBM's infrastructure and statistics extraction electricity to the product. This should still bring stability to historically advanced administration, observed analyst Audrey Rasmussen, vice-president of business management associates.

"if in case you have numerous management items deployed, regularly they have their personal databases. regularly the nuggets are scattered in every single place the infrastructure," Rasmussen pointed out.

"Now if or not it's pulled into the records warehouse, there are opportunities for users to go through and look at trends and have more suitable co-ordination of administration statistics coming from a lot of disparaged sources."

by way of embedding Tivoli expertise inside IBM's WebSphere utility server, Rasmussen talked about, customers can expect a breadth and depth of administration and information other end-users should be compelled to acquire via utility plug-ins.

"or not it's high-quality to look [IBM] pulling the infrastructure and management pieces to give greater cost for Tivoli valued clientele," she added.

other IBM product bulletins include:

  • IBM directory Server four.1. based on lightweight listing entry Protocol (LDAP), the product enables identification of clients and substances throughout an business. The directory server could be shipped free in Tivoli answer choices.
  • IBM Tivoli switch Analyser. aspects auto-discovery and population of all community layer-2 switches.
  • IBM Tivoli enterprise Console Integration with NetView. mixed to form advanced multilayer root-trigger evaluation and event correlation automation.
  • IBM Tivoli privacy Wizard. obtainable without charge download, the wizard produces and manages a platform-agnostic, automated XML-version of an company's privateness policy for various statistics varieties.
  • IBM Tivoli Storage manager 5.1. enhanced efficiency, elevated storage equipment/library, and platform help for windows, sun Solaris, Novell NetWare, Macintosh, HP-UX, and IBM AIX.
  • IBM has also simplified and repackaged Tivoli product household suites to consolidate and offer distinct CDs and built-in expertise for purchasers.

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    Foundations of Tivoli Process Automation Engine

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    Accelirate Inc. Announced Four New Partnerships | real questions and Pass4sure dumps

    EDISON, N.J., April 3, 2019 /PRNewswire/ -- Accelirate Inc., the largest pure play Business Process Automation Service company in the United States, is announcing new partnerships with four new Process Automation industry leaders. Accelirate has recently partnered with both UK-based RPA Platform Giants, TrustPortal Solutions and Enate, alongside two other partnerships with the OCR company ABBYY and the low-code process automation platform, K2.

    TrustPortal is a dynamic software company focusing on innovative developments in the Robotic Process Automation (RPA) industry. TrustPortal offers an integrated digital workforce that combines human to robot technology with the RPA Platform Blue Prism and enables users to dynamically interact with any given automated process in real time. What TrustPortal does is allow customers to take advantage of a wide range of new automation capabilities through its secure and dynamic front-end user interface, resulting in a complete end-to-end experience. The benefit TrustPortal offers to organizations is the ability to collaborate and streamline decision making on any given automated process, including approval, sign-off, change and review. By enabling these digital services to interact with Blue Prism RPA it allows human interactions to be implemented by robot-driven workflows, thus extending Blue Prism's Digital Workforce to all functions across an organization.

    Enate is a global company that offers a Robotic Service Orchestration (RSO) platform to govern the delivery and management of services across a hybrid workforce of humans and automation bots. Enate has recently partnered with UiPath as a new integration to their Robotic Process Automation Service Orchestrator Platform. As a current partner with UiPath, Accelirate was eager to explore the capabilities of Enate, thus inspiring the want to partner with such an incredible company. Enate provides the foundation to digitize services regardless of what RPA, AI, or cognitive technology is in play. The platform enables the delivery of services from multiple locations to local standards while maintaining complete visibility and control (including the automation of KPIs and SLAs), all aligned to a detailed reporting of cost and productivity.

    ABBYY is a Global Provider of Content Intelligence for Robotic Process Automation. They focus on making Process Automation Smarter by turning unstructured content into structured and actionable information using optical character recognition (OCR) technology. The software development kit ABBYY FineReader Engine allows software developers to create applications that extract textual information from paper documents, images, or displays. This AI-powered OCR Software Development Kit provides the automation application with excellent text recognition, PDF conversion, and data capture functionalities, enabling it to convert scans into searchable PDF, Word, or Excel documents, along with the added capability of being able to access data on photos or screenshots.

    K2 is a Global Technology Company that focuses on a low-code digital process automation platform as an alternative to traditional business process management (BPM). With K2's low-code digital process automation platform, you can develop and deploy powerful process applications quickly and at scale across an organization. Whether the goal is to automate departmental workflows or streamline enterprise-wide systems as part of a digital transformation, K2 offers both cloud-based and on-premise solutions to build, empower, and control business processes. K2 focuses on a low-code system to accelerate the development process, which is a main goal of Accelirate Inc.

    Accelirate is solely focused on Business Process Automation and their main goal is to constantly be improving enterprise productivity through the implementation of the Automation Mindset by selecting the right processes to automate that will bring in the biggest ROI and time savings for the client Enterprise. These four new partnerships give Accelirate the opportunity to expand automation capabilities and offer countless new benefits to clients. For any further information on Accelirate Inc. their comprehensive RPA & AI services, or their new partnerships with TrustPortal, Enate, ABBYY, or K2, please contact or visit

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    SD times news digest: Sublime Text 3.2, dotData 1.4, and GraphQL Foundation’s collaboration with the Joint Development Foundation | real questions and Pass4sure dumps

    The latest version of the Sublime text editor is now available. Sublime Text 3.2 features Git integration, incremental diffing, new theme functionality and block caret support. According to the team, the release builds off of a lot of work done in Sublime Merge, its latest Git client.

    Other features include improved performance of file watching, a number of syntax highlighting enhancements, and support for Unicode 11.0.

    Full release details are available here.

    Deque and Microsoft collaborate on open-source accessibilityDeque Systems has announced it is working with Microsoft to bring Windows support to the company’s axe accessibility engine. According to the company, the axe accessibility rules engine with one of the most widely deployed engines with 25 million devices. As a result of collaboration with Microsoft, web, Windows, Android and iOS developers will be able to test their code with a common approach.

    “We’ve been working for 20 years building up to this moment,” said Preety Kumar, CEO of Deque Systems. “Deque’s core mission has been to make accessibility a daily responsibility of every development and design team in the world. This collaboration is a huge step toward making that a reality.”

    DotData updates data science automation platformDotData 1.4 has been released with significant updates, deeper insights, and greater performance. DotData provides a data science automation platform for the entire data science process from data collection to production-ready models. Key features include the ability to leverage geo-temporal patterns, support for more machine learning algorithms, enhanced automatic data pre-processing, and drag-and-drop data collection.

    “One of the most exciting enhancements in Version 1.4 is the support of AI-powered feature engineering for geo-temporal data which are very rich but difficult-to-analyze data sources, providing deeper insights over a geographical spectrum,” said Ryohei Fujimaki, PhD, CEO of dotData. “We’ve also made significant enhancements in the machine learning and data preparation components of the platform, giving enterprises the freedom to solve more data science challenges, faster.”

    GraphQL Foundation teams up with Joint Development Foundation on GraphQL specificationThe GraphQL Foundation will be working with the Joint Development Foundation to accelerate the adoption and development of GraphQL’s specification and open standards. The Joint Development Foundation was designed to help users quickly establish projects with open source and standards development. The foundation joined the Linux Foundation at the end of last year.

    “We’re thrilled to see GraphQL and the Joint Development Foundation join forces and get to work so quickly to advance open standards,” said Jim Zemlin, executive director of the Linux Foundation. “Working with the JDF, the GraphQL community is able to leverage turnkey infrastructure to create and manage open standards more quickly and nimbly than ever before. This allows developers to continue to break barriers and modernize application development.”

    Synopsys Design Compiler NXT now availableSynopsys is aiming to provide faster runtime and improved quality of results with the announcement of its Design Compiler NXT. The release comes with power-driven mapping and structuring techniques, concurrent clock and data optimization and a new approach to distributed synthesis.

    “Our continued investment in the Design Compiler family of products has resulted once again in the delivery of breakthrough synthesis innovations,” said Shankar Krishnamoorthy, senior vice president of engineering, Design Group at Synopsys. “Our customers seamlessly deploy Design Compiler NXT in their production flows and quickly realize the benefits of the runtime, QoR, and convergence improvements it delivers.”

    ERP Lands Starring Role in Intelligent Manufacturing | real questions and Pass4sure dumps

    Now might be a good time to see the latest version of enterprise resource planning (ERP). New systems are putting on a good show with artificial intelligence (AI) and the connectivity fostered by the Industrial Internet of Things (IIoT). This new generation of ERP systems is helping intelligent enterprises to make sense of the data gleaned from their networks of smart machines so their people can merge that operational data with business metrics to make better decisions.

    “The role of ERP systems has evolved,” says Ian Tooke, chief innovation officer and vice president of strategy at Grantek Systems Integration. Much of this evolution has centered around role-based interaction with the system at levels in the enterprise, including production. “The efficiency and transparency of process execution can increase significantly—thanks to IIoT, real-time access to data, and smart analysis of that data.”

    Tooke credits the proliferation of IIoT technology for laying the foundation for ERP’s expanded ability to leverage manufacturing data. “It lowers the price point for gaining access to cleansed data from manufacturing and providing decision support for the predictive planning and execution of processes,” he says.

    ERP vendors have responded accordingly. “Today’s ERP systems have operational extensions that simplify the interface to the factory floor,” explains Glenn Graney, director of industrial and high tech at ERP supplier QAD. As a result, even smaller manufacturers are finding it much easier to reduce the lag that has existed in the upward flow of information from operations to business systems.

    These lags were due in large part to the need to wait for someone to enter progress reports into a computer somewhere. “Pretty much, you would be in a vacuum until the end of the shift, or even the next day, when somebody would enter the production data into the appropriate system,” Graney notes. “More likely, though, any reporting would wait until the job was done.”

    Now, he says, there is no reason to wait. A worker can either report progress on a customized touchscreen or let sensors do it. For an example of the latter, Graney points to an automotive supplier that produces drive-link assemblies resembling heavy-duty bicycle chains. The company could receive an order for 10,000 of these chains, which are used in transmitting power from engines to transmissions. Rather than trying to count them as they come off a pressing operation, the operator periodically presses a button to actuate a scale that weighs the pallet of finished assemblies. Software then translates the weight into a piece count and reports that value to the ERP system.

    In the past, establishing this kind of flow of production data into the ERP system required a capital investment and all the effort that goes into getting such a project approved. “You had to put the purchase of some PLC input and output cards in the budget,” Graney says. “And then you had to pay somebody to change the ladder logic in the PLCs.” Not only could these and other items in the project cost $100,000, but you also had to accept the risks associated with fussing with the ladder logic running your processes.

    Supporting automated decision-making, an ERP system can reorder materials as needed for the factory floor. Source: SAP

    A new act

    The operational extensions that QAD and other ERP vendors are offering today bypass most of these expenses and risks by tapping into data that is readily available in existing layers. With new equipment, the operational extensions capitalize on the well-established industrial communications standards that are driving IIoT and are found in today’s human-machine interfaces (HMIs) and products for supervisory control and data acquisition (SCADA).

    These operational extensions can even receive data from old machinery retrofitted with the appropriate smart sensors. “You hook a sensor to a $200 TCP/IP I/O drop,” Graney explains, and “if you have Ethernet, the data is available across the network.”

    An important industrial standard for ERP is the Business to Manufacturing Markup Language (B2MML), which establishes common data definitions between ERP and production systems. Another improvement in interfaces has been the adoption of RESTful web services, according to Kevin McClusky, co-director of sales engineering at Inductive Automation. “Both cloud-based and traditional ERPs are starting to offer direct web services with the necessary business logic for exchanging information,” he says.

    “Automation vendors have made it easier for us,” adds Mike Lackey, global head of solution management for digital manufacturing at SAP. “Most PLCs on the factory floor today are connected to an OPC server, so their ERP system can go through their connectivity layer to the OPC layer, listen for the data tags that it needs, and pull the desired information from there.” Getting that data no longer requires writing a custom interface.

    Another important support for ERP’s enhanced role in manufacturing enterprises has been the various IT services available in the cloud. ERP vendors have been adapting their offerings to take advantage of the computing economies available there. The cloud, however, does more than lower the cost and simplify the task of integrating multiple plants belonging to an enterprise and its supply chain. “It also enables easy integration to services outside your four walls,” notes Antony Bourne, president of IFS Industries. “There is plenty of cloud-enabled services that use artificial intelligence to help us analyze data.”

    Some services will use machine learning, a type of AI that looks for trends in data from IIoT-enabled machines and other sources to make predictions about the future. For example, a maintenance service could develop an optimal maintenance schedule by taking into consideration trends in past usage and performance data, as well as demand for the machine in the next few weeks. “In the process industry, a food-and-beverage manufacturer may want to work the weather forecast into its demand planning engine,” Bourne says, because “a heat wave may affect demand for some of its products.”

    SAP’s Lackey notes that AI is often applied at the edge—the point at which an ERP system gathers information from production machinery and processes. “The ERP system can use decisions and optimizations at the machine level to determine the effects on inventory, capacity, quality and even cost structure,” he says.

    Staying on script

    System integrators like Grantek report that they are implementing analytic platforms that give workers access to information about production processes via mobile devices. “The focus in ERP is shifting from the central data repository to facilitating mobile, role-based user interactions,” Tooke notes. With these platforms, “information is called, processed, and displayed immediately.”

    One effective strategy is to create dashboards tailored to presenting timely information specific to the work that users are performing, says Andrew Bolivar, senior consultant at Ultra Consultants and director of the company’s Center of Excellence. “Role-based information presented graphically simplifies the presentation and increases response time,” he says.

    Not only should dashboards present information in a visually intuitive format, but the metrics displayed should be connected somehow to the business’s key performance indicators (KPIs), Bolivar adds. He and his colleagues have been working with manufacturers to create simple metrics that are pertinent to the task at hand, yet also have a connection to KPIs such as overall equipment effectiveness (OEE), production volume, and inventory turns.

    The ability to track key metrics in real time not only helps people to make decisions, but also can support automated decision-making. The ERP system, for example, can reorder materials from existing suppliers. “Sensor 12 on machine 20 on line 14 may send a signal that alerts suppliers in real time to replenish needed materials,” Lackey describes.

    This ability is also crucial for participating in the e-business networks, or e-stores, that are proliferating in the digital world. “How are you going to compete where there are no conversations? If someone posts a request for a bid for an individualized product, you have to respond with your bid within seconds,” Lackey says. “Your rating—whether you get four thumbs up or only two stars—will depend on your ability to deliver on your commitment.”

    The intelligence available through the business context of the ERP system can get you those good marks by determining whether you have enough open capacity, access to the necessary materials, and ability to ship by the delivery date.

    The focus for ERP is shifting from a central repository to more mobile access to information. Source: IFS

    Managing service in the field

    Besides allowing ERP to play a greater role in production, greater connectivity and intelligence have also extended the role it plays in the life of products beyond manufacturing. Machine builders, for example, are able to keep tabs on their installed base of machines over cloud-enabled networks. Not only can ERP help builders to collect and analyze performance data to look for ways to improve their designs, but it also can assist them in managing after-sales service. “This access to performance data gives them the ability to monitor assets and develop a maintenance plan that maximizes uptime,” Lackey says.

    To show how cloud-enabled ERP can help manufacturers improve service on other kinds of products, IFS’s Bourne points to the experience of Anticimex International, a Swedish company that provides pest control and other environmental services to homes and businesses in 17 countries. In response to both a growing resilience of pests to conventional pesticides and increasingly stringent environmental regulations, Anticimex has developed a line of digital traps equipped with IoT sensors and cameras to control rodents. Besides using an IFS Applications ERP system to manage its manufacturing operations, the company also relies on the system to coordinate the technicians who service the installed base of traps.

    Anticimex’s Finnish operation spearheaded the company’s use of a module called IFS IoT Business Connector. Through IoT connectivity, the installed base of digital traps throughout Finland now transmits data directly to the ERP system. Technicians no longer have to visit all traps periodically just to check which ones might be full. Not only does the software tell them which traps need to be emptied and reset, but it also suggests an optimal route for their visits, thereby eliminating unnecessary travel.

    The IoT module has also given Anticimex another way to cut costs and improve service. Besides indicating whether the traps are full, the sensors also track battery power to report which batteries are running low and need recharging. By analyzing patterns in power depletion for each trap, AI can predict when batteries will fail and determine which batteries should be replaced rather than recharged.

    “These analyses have affected the supply chain in that Anticimex can identify any faulty batteries and send them back to the suppliers, which is a capability that the company didn’t have before,” Bourne says. The result is that batteries last longer between charges and require less service, cutting costs and improving customer satisfaction ratings.

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