In years past, device functionality was enough to sell most embedded products without much concern for cybersecurity. Of course there were exceptions, such as in critical infrastructure, aviation, and military, for which security was always of importance. But today’s environment has evolved on several fronts. First, organizations across nearly all markets are demanding Internet connectivity to monitor and control devices as well as to aggregate and analyze data. Second, the magnitude of security threats has exploded, driven by highly sophisticated hackers including organized criminal gangs seeking financial returns, creating a constantly evolving threat landscape. Third, the increasingly complex nature of connected systems makes them ever more challenging to protect. The more complex a system, the more potential vulnerabilities it may contain. And fourth, the data generated by connected devices represent an asset that is becoming increasingly valuable for organizations to derive insigh
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.
There is a significant gap between how manufacturing companies value specific aspects of their project execution and how they judge their performance. Better education in project management methodologies and standalone software tools alone will limit a company’s ability to perform at its highest level. A study by Engineering.com found that a web-based Product Lifecycle Management (PLM) solution is the best way for a company to fully achieve its best practices.
This white paper shares how a PLM solution with embedded project management can uniquely provide:
• Full alignment between projects and the product portfolio
• Coordination of a project’s schedule, resources and scope
• Automatic real-time status updates of project tasks
• Mitigation of project risks based upon real-time assessment of product development
Benefit from the unique value provided by PLM systems with embedded project management.
A collaboration between IBM and CLS, the largest provider of settlement and risk mitigation services for the global foreign exchange market, showed how financial institutions can reap blockchain’s benefits by managing and minimizing risks to the existing business. Instead of a wholesale approach of replacing existing systems, new functionalities were gradually embedded into current processes, moving data from legacy systems to the new blockchain solution operating in parallel.
Read this report to learn more about the ongoing CLS-IBM blockchain initiative and what drives the success of its commercial implementation.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Moving to C++ presents opportunities for higher programmer productivity. The requirements of embedded systems, however, demand that the adoption of C++ be carefully measured for the performance impact of run-time costs present in C++, but not in C. This talk suggests strategies for developers who are starting their acquaintance with C++.
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
Enabling a "digital business" is becoming an increasing priority for organizations; the transition to enabling a digital interaction model inside an organization is twofold. There are technologies that underpin interactions as well as the cultural and behavioral changes that support this transition. Enterprise social networks (ESNs), and more broadly, social workflow, can play a significant role in this particularly when thought of as both a platform and a social workflow embedded in business systems where users are getting work done. This study identifies several key areas of market opportunity and provides criteria by which vendors can be judged now and over the next 5 years.
This paper introduces practical approaches to Agile focused on core principles and practices and shows how they improve project results for embedded systems development. Agile methods are a cohesive set of concepts, principles and practices to address the challenges of software development.
Agile is a cornerstone of software delivery from IT to complex and embedded systems. This research-based paper reports on key challenges, patterns and working practices for extending Agile to cross-discipline deployment in product and systems development.
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.