How intelligent automation will impact and revitalise global supply chains

The idea of automation in manufacturing and the supply chain is nothing new – since the earliest days of the industrial revolution we have sought to automate tasks with machines, and lower the cost of manufacturing processes.

In countless cases, the application of machines, and more recently software, has meant improvements in the consistency of products, facilitated near 24/7/365 production and has meant staff can be focused on higher value tasks in their company.

Yet the use of technology in the industry may not be fully understood; a recent Capgemini survey showed that nearly half (48%) of UK office workers are optimistic about the impact automation technologies can have. However, while respondents to the survey had a general idea of the benefits that might accrue, they were less clear as to how these technologies could be applied to their specific area of work. And worryingly, only 20% said they felt their organisations were currently benefiting from automation – clearly the industry is missing a trick.

However, as utilisation stagnates for certain companies, the market is maturing. Automation is now reaching far beyond simple process software and mechanisation. Technologies such as the Internet of Things (IoT), cognitive computing, advanced robotics, Digital Fabrication and blockchain are becoming increasingly popular, bringing together the power of automation and analytics.

Yet other areas such as artificial intelligence (AI) and machine learning, which are proven enablers for new ways of optimizing the supply chain and manufacturing processes, are less understood. It’s agile, forward-thinking businesses that are able to utilise these technologies in a thoughtful way that will reap the benefits.

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3 ways to strengthen security with software supply-chain automation

Federal agencies are striving to become more innovative and iterative, leading to growing adoption of open source within the government. The issuance earlier this year of the Federal Source Code Policy illustrates how this technology, once anathema to government agencies, has become the de facto standard for the creation and deployment of many applications.

With the explosive adoption of open-source components being used to assemble applications, agency personnel are now tasked with ensuring the quality of the components that are being used. Developers must have confidence in components’ security, licensing and quality attributes and know for certain that they are using the latest versions.

Unfortunately, many agencies that are adopting the RMF are also relying on outdated and inefficient practices and tools that are not designed for today’s open and agile world. In addition to relying on potentially vulnerable components to build applications, some agencies have continued to depend too heavily on common application security tools, such as static application security testing and dynamic application security testing.

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How to Use Big Data to Enhance Employee Performance

Big Data has been one of the most significant and influential aspects of the Information Age as it relates to the enterprise world. Essentially, Big Data is the massive collection, indexing, mining, and implementation of information that emanates from just about any activity that can be monitored and managed electronically. Some of the uses of Big Data include: marketing intelligence, sales automation, strategizing, productivity improvement, and efficient management.

Enhancement of the workforce is one of the exciting and meaningful benefits of Big Data for the business sphere. Recently, human resource managers and analysts have been researching the implementation of Big Data as it relates to employees, and the following trends have emerged:

Employee Intelligence

For many decades, companies and organizations have tried various methods to gain knowledge about what their employees are really like. The productivity that workers can contribute to their employers is based on personal needs as they are balanced against the performance of their duties. With Big Data solutions, both personal needs and performance can be diluted into metrics for efficient analysis.

Modern workplace analytics originates from tracking employee records as well as metrics on their performance, interactions and collaboration. The idea is to focus on the right metrics to create a climate of positive engagement.

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