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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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News alert: MxD roundtable with White House officials highlights cybersecurity workforce needs

The Last Watchdog

21, 2023 — MxD, the Digital Manufacturing and Cybersecurity Institute, today hosted a roundtable discussion with the White House Office of the National Cyber Director. Each participating organization is committed to developing cyber skills and programs to train the workforce across a wide range of industries, including manufacturing.

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National Safety Council data leak: Credentials of NASA, Tesla, DoJ, Verizon, and 2K others leaked by workplace safety organization

Security Affairs

The National Safety Council (NSC) is a non-profit organization in the United States providing workplace and driving safety training. Leaked credentials could have been used for credential stuffing attacks, which try to log into companies’ internet-connected tools such as VPN portals, HR management platforms, or corporate emails.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Imagine training a generative AI model on a dataset of only romance novels.

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MY TAKE: Businesses gravitate to ‘passwordless’ authentication — widespread consumer use up next

The Last Watchdog

Related: Microsoft advocates regulation of facial recognition tools. Passwordless solutions now enable companies to turn BYOD into a strategic tool. Any device manufacturer, software developer or online service provider can integrate FIDO protocols and policies into their products and services. Coming advances.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given. This usually helps to make the model’s predictions more accurate.

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GKN Aerospace — Journey to integrated business planning

IBM Big Data Hub

GKN Aerospace is a leading global supplier in the aerospace industry, specializing in the design, manufacturing, and supply of advanced aerospace systems and components. With physical locations in 12 countries and 34 manufacturing sites worldwide, the company employs over 16,000 people.