Both robotics equipment and the products produced by such equipment generate large volumes of data useful for ensuring optimal ongoing operation of production processes. Asset analytics for robotic equipment generates several benefits. IBM provides a market-leading analytics platform enabling
In practical terms, what does the fourth Industrial Revolution really mean to industrial manufacturers, and what is actually different now? Here are some examples of how the fourth Industrial Revolution is transforming the manufacturing and industrial landscape.
Data collection has rapidly moved beyond the walls of the enterprise data center. Insights for advanced business models and strategic operations are drawn from international sources that can be subject to a variety of privacy and governance regulations. What’s needed is a comprehensive, managed,
The simultaneous convergence of three major technological forces is ushering in what many people believe will be the fourth Industrial Revolution. Data with analytics, cloud computing and engagement are underpinning new degrees of automation and collaboration among people and machines and among the
Internet of Things continues to grow by leaps and bounds. Though beneficial for highly innovative applications, all that data broadens the potential for security exposures. Organizations with a vital stake in Internet of Things data need to take data security seriously.
Ranchers and farmers worldwide are being called upon to expand production of food from livestock and agriculture to meet the needs of a growing population. Discover how GrowSafe Systems using sustainability and deep analytics to intensify crop and livestock systems.
Many executives and strategic consulting firms deem risk management and uncertainty and improving business performance as high-priority objectives and challenges. Discover why many industries need to apply advanced evaluation and assessment of safety-related risk for personnel and processes to
GrowSafe Systems employs disruptive innovation using Internet of Things data to solve the problems that help feed the world. For the livestock industry, ongoing data collection can be bolstered by what IBM is doing in the areas of secure cloud environments and predictive analytics. The Internet of
The Internet of Things presents new challenges for ensuring security and integrity of applications, communications, data, devices and the user interfaces built to support them. Addressing these challenges is an engineering problem for which much expertise and technology is available to apply to the
IBM is helping create and use the Internet of Things by leveraging analytics, cloud, mobile, security and social media technologies. The connectivity of things presents a broad set of security challenges. Review this infographic for an overview of security and privacy for Internet of Things systems.
Khaled Al-Shami, enterprise asset management solutions manager at Consolidated Contractors Group, discusses the organization’s approach to distributed enterprise asset management that utilizes analytics of Internet of Things data to enhance operational visibility, help reduce downtime and bolster
Recalls due to safety issues continue to rise despite decades of evolving technology that has dramatically improved the performance and safety of automobiles. Discover how the auto industry can address safety problem resolution by maturing organizational and analytical initiatives.