The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
Published By: Lenovo - APAC
Published Date: Jan 23, 2019
Headquartered in Chicago, Bean Suntory owns over 70 premium spirit brands from whiskey and rum, to vodka, cognac, tequila, and gin. Beam Suntory generates $4 billion in annual revenues.
But that revenue was in danger.
The company’s production software, Wonderware, which controls embedded systems driving almost every critical production process, was underpinned by ageing hardware. If it failed, production would come to a grinding—and expensive—halt.Every hour of downtime results in lost production, which can amount to millions of dollars in losses,” says Sanjay Kirtikar, Director Digital Technologies, Beam Suntory.
To ensure Wonderware never failed, Beam Suntory implemented hyperconverged clusters integrated with Nutanix Enterprise Cloud Platform software
The results were instant and outstanding. Beam Suntory expects a 25-35% cost benefit from lower support and maintenance efforts, and a 50% reduction in power usage.
Published By: Forcepoint
Published Date: Jan 03, 2019
Downtime Is Not an Option: High Availability Next Generation Firewall
Access to applications, data, and resources on the Internet is mission-critical for every organization. Downtime is unacceptable. Security for that network must also be highly available and not cause performance degradation of the network.
The increased workload of security devices as they analyze traffic and defend users from malicious attacks strains computing resources. The next generation of security solutions must build in high availability that can scale as the business changes. Download this whitepaper to find out how high availability is at the core of the Forcepoint NGFW (Next Generation Firewall).
Application downtime impacts everyone. This paper provides best practices for communicating application downtime to end-users in a manner that maintains - or can even improve- your organization's credibility and brand image. Learn what to do and what not to do in this informative white paper.
Journaling is a powerful feature, one that IBM has continued to develop and improve over the years. Yet, depending upon your business requirements, you probably still need more protection against downtime than journaling alone can provide. This white paper will cover what you need to know about journaling, what it can do and how it supports and cooperates with high availability software.
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
Network failures are surprisingly common. How can you be sure your enterprise is prepared for unforeseen downtime?
Network diversity and redundancy supports business continuity. Learn more about how the right network portfolio can prevent operational interruptions and assist in disaster recovery.
Published By: Intel Corp.
Published Date: May 15, 2018
Intel's factories rely on thousands of PCs for manufacturing automation; keeping these PCs up and running can prevent expensive downtime. To manage these systems, Intel IT is using the Intel vPro platform's hardware- based feature, Intel Active Management Technology (Intel AMT), to help reduce production downtime caused by PC incidents by 87.5 percent.
Download this white paper to learn more about these notable findings from IDC's study of HP DC Service customers.
HP Datacenter Care Service can reduce the costs of delivering mission-critical business processes by 23%.
HP's Datacenter Care Service solution is able to reduce downtime by 88%, adding five hours of uptime annually to each internal user and $835,000 in revenue to each organization.
Increasingly, x86 servers will need a higher level of operational support.
On average, companies in this study were able to recognize an average ROI of 456% and pay back the initial investment in HP DC Service in six months.
Business users expect immediate access to data, all the
time and without interruption. But reality does not always
meet expectations. IT leaders must constantly perform
intricate forensic work to unravel the maze of issues that
impact data delivery to applications. This performance
gap between the data and the application creates a
bottleneck that impacts productivity and ultimately
damages a business’ ability to operate effectively.
We term this the “app-data gap.”
Businesses in every sector are increasingly reliant on applications to handle everything from
back-end operations to the delivery of new products, services, and customer experiences.
That is why infrastructure system availability and the elimination of unplanned downtime
are more important than ever before. Recent research has shown that the average cost of an
hour of downtime is about half-a-million dollars,1
and this will only increase with the continued
digitization of industries.
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
Top 5 causes of downtime and poor performance across the infrastructure stack
How machine learning and predictive analytics can prevent issues
Steps you can take to boost performance and availability"
Ponemon Institute surveyed 569 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed.
According to respondents, these attacks cause costly application downtime, loss of customers, and involvement of IT security that can result in a cost of millions of dollars. The survey highlights the challenges in identifying who is accessing their websites using stolen credentials, as well as the difficulty in preventing and remediating these attacks.
Published By: Dell EMC
Published Date: Sep 12, 2016
Your business has tiers of applications and data. The protection needs of those application and data across a spectrum—starting with basic low cost daily backup, and ranging up to zero data loss with zero downtime. Along the spectrum, compliance requirements must also be met.
Many manufacturers are pursuing the immense business benefits available from digitizing and connecting their factories. Major gains in overall equipment effectiveness (OEE), reduced downtime, and manufacturing flexibility can be achieved with a factory that is digitized and connected. By providing visibility to machines and processes, manufacturers can anticipate issues that create unplanned downtime. By putting in place a secure, converged and wireless-ready network, manufacturers can have a platform that enables the agility to quickly start up new machines, cells, and lines, and rapidly deliver new products.
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
-Top 5 causes of downtime and poor performance across the infrastructure stack
-How machine learning and predictive analytics can prevent issues
-Steps you can take to boost performance and availability
Storage is normally the first suspect when identifying
the causes of the App-Data Gap, but the facts tell
a different story. Flash Alone Isn’t Enough.
Infrastructure complexity makes it difficult to pinpoint the real problem, resulting in:
• Extended downtime and frustration
• Inefficient use of IT resources and budget
• Long hours spent resolving cross-vendor issues
Published By: Carbonite
Published Date: Jul 18, 2018
Businesses virtualize to consolidate resources, reduce costs and increase workforce mobility.
But failing to protect VMs with purpose-built protection could erase some of those gains.
Here are five essential requirements IT managers should look for when deploying data protection
for virtual environments.
Published By: Infosys
Published Date: May 30, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed.
A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
Can your business afford to lose $9,000 per minute?
According to the Ponemon Institute $9,000 is the average cost of an unplanned outage. In some cases the costs are much higher. The catalogue of cloud outages over recent years is well publicized and reads like a “who’s who” of the technology industry. It seems no one is immune.
But when it comes to delivering digital content, downtime isn’t the only concern. Today a poor user experience can be just as damaging as an outage. According to Limelight research, 78% of people will stop watching an online video after it buffers three times, and the majority of people will not wait more than 5 seconds for a website to load.
Organizations looking to deliver great digital experiences for their customers often choose to deliver that content using Content Delivery Networks (CDNs). Using multiple CDNs to deliver these digital content experiences promises even greater levels of availability and performance. But it brings with it a host of questi
Sarah Cooke 
Don Shoultz 
Marc Rapport 
