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Showing posts from February, 2022

Digital Forensics for Cybersecurity

Digital forensics for cybersecurity is the process of gathering evidence from digital devices and media to help identify the perpetrator of a crime. The digital forensics process includes steps such as data acquisition, data analysis, and reporting. This process is important for any organization that has sensitive information on their devices. It is a relatively young field that has been propelled by the growth of digital media, e-business, and mobile computing. To better understand how to protect against cybersecurity threats, companies need to know what they are up against. Digital forensics helps them understand the different types of attacks and how they work so that they can create better security systems for their company. Cybersecurity is a growing concern. Companies are looking for ways to protect their data from hackers, and the Internet of Things (IoT) has made it even easier for them to do so. The IoT is a network of physical devices, vehicles, buildings and other items tha

How AIOps can Transform Manufacturing and Logistics

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  The manufacturing industry is undergoing a major transformation with the help of Artificial Intelligence (AI) and the Internet of Things (IoT). The new technology is aimed at improving the efficiency, safety, and quality of production. AIOps can help with manufacturing and logistics by predicting when equipment will need maintenance, monitoring inventory levels, and ensuring that production lines are running smoothly. This can save companies both time and money. AIOps for the manufacturing industry Conducting quality checks AIOps can be used for quality checks in manufacturing and logistics. It can help identify errors in production processes such as incorrect assembly of parts, missing items, or improper packaging. It also helps monitor and analyses the supply chain for any disruptions or delays that may cause problems with production. Predicting exhaustive capacity AIOps predicts the capacity of a manufacturing plant by analysing data from machines, sensors, and other sources. This