The Industrial Revolution 4.0 is upon us and manufacturers who want to stay competitive need to adapt or they will inevitably fall behind. However, that’s easier said than done. Updating proprietary legacy systems can be expensive, complicated, and lead to unwanted downtime that can slow production on the plant floor. How do companies accomplish such a critical change without draining budgets and upending workflow? Surprisingly, the answer doesn't always involve completely rebuilding systems from scratch. Instead, removing antiquated equipment and streamlining connectivity without creating new security risks could successfully start organizations on their path to reaping the benefits of Manufacturing 4.0
The Industrial Revolution 4.0 is upon us and manufacturers who want to stay competitive need to adapt or they will inevitably fall behind. However, that’s easier said than done. Updating proprietary legacy systems can be expensive, complicated, and lead to unwanted downtime that can slow production on the plant floor. How do companies accomplish such a critical change without draining budgets and upending workflow? Surprisingly, the answer doesn't always involve completely rebuilding systems from scratch. Instead, removing antiquated equipment and streamlining connectivity without creating new security risks could successfully start organizations on their path to reaping the benefits of Manufacturing 4.0.
Grass Valley, the world's second largest broadcast and professional solutionssupplier, is a leading provider and innovator in media production services and technology. Their cameras, production equipment, servers and other systems are the choice of many of the largest broadcast networks and production/post-production facilities around the globe. Read this case study to find out why they chose Cornerstone OnDemand.
Hyper-complex production meets cognitive computing. Electronics manufacturing is surrounded by continuous complexity. Executives face rising resource costs in traditionally low-cost production markets. They must address increasing customization, shorter lead times, frequently changing requirements and shrinking order sizes – all while managing a sophisticated supply network. They need to examine automation potential and maintain critical institutional knowledge. Thinner margins and increased competition threaten consistent quality, risk greater downtime and reduce desired flexibility. Investments in new equipment and automation systems are increasing the amount of data available from the shop floor, but most is not used to its full potential. Now, cognitive manufacturing is transforming production to address such complexity.
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated
drive as you read the morning news. We are getting very close to that kind of
scenario, and companies like Ford expect to have production vehicles in the latter part
Driverless cars are just one popular example of machine learning. It’s also used in
countless applications such as predicting fraud, identifying terrorists, recommending
the right products to customers at the right time, and correctly identifying medical
symptoms to prescribe appropriate treatments.
The concept of machine learning has been around for decades. What’s new is that
it can now be applied to huge quantities of data. Cheaper data storage, distributed
processing, more powerful computers and new analytical opportunities have dramatically
increased interest in machine learning systems. Other reasons for the increased
momentum include: maturing capabilities with methods and algorithms refactored to
run in memory; the
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
When you’re a worldwide manufacturer with a premium brand, you can’t afford production bottlenecks or live with creaking systems that stifle your inventiveness. Now, with a new Cisco network architecture implemented by Black Box Network Services, Whirlpool Corporation has greater operational agility and efficiency.
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
Published By: OpenText
Published Date: Aug 19, 2014
An integrated production faxing solution offers a number of benefits to the enterprise. This paper highlights the financial and workflow improvements you can expect by automating the document delivery process in your organization. See why companies that have made considerable investment in back-office automation systems take this next logical step to automate delivery of high volume, transactional paper documents.
Published By: Sanbolic
Published Date: Aug 21, 2009
Today, most video post production for standard-definition content has moved onto disk-based, non-linear editing (NLE) systems. These systems offer improved flexibility over linear, tape-based systems by allowing a workstation fast access to any part of the digital media file.
In order to align their production plans with customer's demand, metal fabricators must integrate seamlessly into the customer's own processes. As a result, integrated systems are essential, bringing design, product lifecycle management and service together in ways that predict, act and rapidly change in accordance with the customer's needs.
Published By: Delphix
Published Date: Apr 15, 2011
See how Delphix database virtualization shrinks nonproduction database storage requirements by up to 10x, and reduces database provisioning and refresh times from days to minutes with zero impact to production systems.
Industrial enterprises around the world are retooling their factories with advanced technologies to boost manufacturing flexibility and speed, achieving new levels of overall equipment effectiveness (OEE), supply chain responsiveness, and customer satisfaction in the process. This renaissance reflects very real pressures industry players face today. For years, traditional factories have been operating at a disadvantage, impeded by production environments that are “disconnected”—at the very least strictly gated—to corporate business systems, to supply chains, and to customers and partners.
Published By: Carbonite
Published Date: Aug 02, 2017
The risk and downtime associated with server migration have prevented many IT organizations from making the move to cloud. Some have valid concerns about cloud lock-in. Still, without cloud, IT teams are less agile, less flexible and less able to meet the demands of their business. With so much C-suite awareness of the cloud competitive edge, IT can no longer avoid taking this step.
Carbonite DoubleTake™ Cloud Migration Center quickly and easily migrates physical, virtual and cloud workloads over any distance with minimal risk and near-zero downtime. The streamlined process automates 100 manual steps into five easy steps, automating everything from server discovery to target VM provisioning to the ultimate cutover.
Using efficient real-time, byte-level replication technology, Cloud Migration Center creates a replica of the entire server being migrated and keeps it in sync with production systems. The migrated data can be validated without disrupting business operations, and downtime is
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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