process systems

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Published By: Schneider Electric     Published Date: Jun 07, 2019
New digital technology now makes it feasible to integrate process control and SIF within a common automation infrastructure. While this can provide productivity and asset management benefits, if not done correctly, it can also compromise the safety and security of an industrial operation. Cybersecurity and sabotage vulnerability further accentuate the need for securing the safety instrumented system (SIS). Certainly, a common platform approach using similar hardware and software dedicated for control and safety functions, respectively, can provide the potential for cost savings. However, it is widely acknowledged that utilizing separate, independent, and diverse hardware/software for safety and control is the optimal way to protect against potentially catastrophic common cause and systematic design and application errors. Different vendors offer varied degrees of integration and solutions. The question is: how to provide an integrated control and safety solution with advanced functionality and productivity without compromising safety and security? And, where do users draw the line? A third-party (e.g., TÜV) certification of the hardware/software systems to IEC 61508 specifications carries significant advantages, but should this be the only criterion? How does a third-party certificate extend to the plant’s overall assignment of risk reduction credits for all independent protection layers (IPL)? Control system embedded safety logic solvers may actually increase the SIL requirements of the SIF if no credit is allowed for the distributed control system (DCS) as an IPL. Download the white paper to learn more.
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
New digital technology makes it feasible to integrate process control and safety instrumented functions within a common automation infrastructure. Download the white paper to learn more.
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
Leveraging IIoT advancements, learn how to break traditional barriers between your power and process control systems to solve challenges across the full lifecycle of the plant. Download the white paper to learn more.
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power, digital transformation, industrial internal of things, smart control, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, defence in depth, industrial automation, process control, process systems, power and process
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
Industrial Internet of Things (IIoT) technologies and concepts can transform and enhance process safety practices if appropriately applied. Download the white paper for guidance on leveraging IIoT tools and techniques to deliver industrial safety in a profitable manner.
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems, safety instrumented systems
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
Industrial process safety management has evolved beyond simple functional safety. Some companies are at risk because management and business process aspects are not integrated into the overall safety plan. Such gaps can impact both operational integrity and profitable performance. Explore the change drivers affecting plant process safety management and learn how operators can find, measure, and manage gaps to maintain safe conditions and improve profitability. Download the white paper to learn more.
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems, safety instrumented systems
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
The safety of operations can have a direct, positive impact on the operational profitability of the plant. Environmental health and safety (EH&S) can now be viewed not just as a cost center, but as a profit center, and new levels of both safety and profitability can result. Real-time safe profitability is no longer a dream—it is a reality!
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems, safety instrumented systems
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 03, 2019
New trends in life cycle management of automation assets are paving the way for the “continuously current enterprise”, to improve both availability and utilization of automation assets. Download the white paper today to learn more.
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smart control, empowered operators, optimized assets, future of automation, reliability, safety, cybersecurity, operational profitability, ecostruxure plant, process automation, profitable safety, defence in depth, industrial automation, process control, process systems
    
Schneider Electric
Published By: Group M_IBM Q2'19     Published Date: May 21, 2019
There are many paths and possible entry points, from standalone software solutions to sophisticated business process management systems and full outsourcing. Each has its own advantages, drawbacks, potential benefts and level of risk.
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Group M_IBM Q2'19
Published By: Larsen & Toubro Infotech(LTI)     Published Date: May 21, 2019
Leading multinational corporation and technology company wanted to simplify, streamline and automate their highly complex & business-critical processes, and improve SLA compliance. LTI provided 24x7 support with distributed teams across the onsite/offshore locations. Our Design-Thinking-led approach for the next-generation platform, using Altassian Jira, helped connect the client’s multiple systems through microservice integration patterns. Download full case study
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Larsen & Toubro Infotech(LTI)
Published By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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compliance, audit, fraud, data, detection, transactions, investigation, cost
    
TIBCO Software
Published By: Intel     Published Date: Apr 11, 2019
Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its end customers without significantly increasing the cost of the customers’ systems and without requiring modifications to the hardware deployed in the field.
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Intel
Published By: Intel     Published Date: Apr 11, 2019
Robots play a major role in making manufacturing processes more efficient and less labor intensive. They can help control costs and improve quality, as well as increase productivity. The complexity of robotic system design, however, creates obstacles for many manufacturers, and this is made more difficult by the need to identify and integrate subsystems from multiple vendors. NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution integrating artificial intelligence (AI) with machine vision and powered by the new Intel® Vision Accelerator Design products. The solution brings together the insight of artificial intelligence, the mobility of robotics, and the capabilities of machine vision, providing a new level of precision and optimization for manufacturing and industrial implementations
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Intel
Published By: VMware     Published Date: Apr 09, 2019
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future.
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VMware
Published By: Intel     Published Date: Apr 09, 2019
Robots play a major role in making manufacturing processes more efficient and less labor intensive. They can help control costs and improve quality, as well as increase productivity. The complexity of robotic system design, however, creates obstacles for many manufacturers, and this is made more difficult by the need to identify and integrate subsystems from multiple vendors. NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution integrating artificial intelligence (AI) with machine vision and powered by the new Intel® Vision Accelerator Design products. The solution brings together the insight of artificial intelligence, the mobility of robotics, and the capabilities of machine vision, providing a new level of precision and optimization for manufacturing and industrial implementations.
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Intel
Published By: Blue Prism     Published Date: Mar 28, 2019
Robotic process automation describes the use of technology to automate tasks that are traditionally done by a human being. The technology itself mimics an end user by simulating user actions such as navigating within an application or entering data into forms according to a set of rules. RPA is often used to automate routine administrative tasks that typically require a human being to interact with multiple systems, but RPA technology is evolving to support the automation of increasingly sophisticated processes at scale within enterprise architectures rather than on the desktop. Over the past two years, RPA has been adopted by a number of business process outsourcing (BPO) providers and a growing number of end-user organizations are now deploying the technology themselves to create “virtual workforces” of robotic workers.
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Blue Prism
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Intel     Published Date: Feb 28, 2019
The confluence of AI and Industry 4.0 is transforming image processing. As image vision becomes widespread, there is an increasing need to transition stand-alone imaging to an integrated driver of automation feeding insights back into the business systems that monitor overall factory performance. Download the whitepaper to learn more about fitting multiple demands into a single platform— • Building an industrial system with advanced functions like machine vision and Industry 4.0 connectivity • Minimizing the footprint of the systems to save space, cost and power consumption • Adhering to principles of long life, safety, reliability, real-time control functionality alongside AI and IIOT capabilities
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Intel
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Robotic Process Automation was born with the vision of empowering business users to create software bots that could interact with enterprise systems just like humans. Its benefits include substantial time and cost savings, improved customer satisfaction, increased workforce morale, and the ability to build a competitive advantage over competitors. But to fully realize all these benefits, it’s important for businesses to select a solution with a robust RPA security architecture that supports core principles, such as least privileges and separation of duties while delivering end-to-end protection for the critical apps and sensitive data involved. This paper provides an overview of the industry’s highest standard for enterprise-grade security as demonstrated by the market’s leading Digital Workforce platform, Automation Anywhere Enterprise.
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Automation Anywhere
Published By: Viavi Solutions     Published Date: Feb 19, 2019
Is the IT troubleshooting process broken? It’s no secret that enterprise personnel no longer work in the same way as they did in the past. The real mystery is why we keep trying to resolve today’s complex hybrid IT issues with yesterday’s processes and systems. How can we be expected to troubleshoot user experience with network performance data alone?
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Viavi Solutions
Published By: ipoque     Published Date: Feb 14, 2019
Virtualized Evolved Packet Core (vEPC) is a major breakthrough in network function virtualization (NFV). When asked where they have deployed NFV in production networks, communication service providers (CSPs) consistently name vEPC as one of the top answers. Why is that? In order to maximize their processing capacity, CSPs virtualize a subset of their network applications, including mobile edge computing (MEC), base stations (small/macro cells) and the mobile core, because these systems use a large bandwidth. The mobile packet core builds the foundation of the core network on which mobile CSPs offer IP-based services to their customers. Implementing vEPC solutions can help CSPs obtain the scale necessary to accommodate growing numbers of subscribers and large amounts of traffic or connections while controlling costs and improving on quality of experience (QoE). In the past, evolved packet core (EPC) solutions were deployed on purpose-built hardware. NFV enables operators to deploy EPC c
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dpi, deep packet inspection, vepc, sdn, nfv, network analytics, virtual network
    
ipoque
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: VMware     Published Date: Dec 10, 2018
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future. To find out more download this eBook today.
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VMware
Published By: MuleSoft     Published Date: Nov 27, 2018
In today’s digitally disrupted economy, organizations across industries face competition at unparalleled heights. As a result, differentiation through business automation has become synonymous with convenience and speed. However, since the technology landscape is changing at an increasing pace, business automation shouldn’t be thought of as a one-time, centralized effort in a discrete process. Rather, organizations should view business automation as a way to decentralize access to systems and enable the broader organization. Download this whitepaper to learn: The value of business automation Why traditional approaches to business automation – such as custom code, implementing standalone solutions, or using point-to-point connections – do not suffice. The benefits of an API-led approach to business automation. How organizations like Wells Fargo, the State of Colorado, Tic:Toc, and Addison Lee achieved business automation success using APIs.
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MuleSoft
Published By: Vena Solutions     Published Date: Oct 29, 2018
As digitization drives business at ever-faster speeds, CFOs recognize the need to keep pace. They understand the importance of financial planning and analysis (FP&A) solutions that allow their finance teams to develop budgets and forecasts quickly and accurately. They need confidence in their numbers and the decisions they drive. But selecting the right FP&A software is only half the battle.
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fp&a software, fp&a, financial planning and analysis, fp&a solutions, financial planning, financial analysis, fp&a process, fp&a implementation, finance software implementation, financial software implementation, enterprise financial software, financial systems, vena solutions
    
Vena Solutions
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