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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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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

As an integrated solution across critical components of computing, network, storage and security, the platform aims to assist enterprises in addressing regulatory and efficiency demands. Prolonged development cycles might harm automotive manufacturers’ sales and customer loyalty.

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Generative AI use cases for the enterprise

IBM Big Data Hub

The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Imagine training a generative AI model on a dataset of only romance novels.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

And breaches will occur – because bad guys make a living by figuring out ways to circumvent security best practices. Prioritize Data Protection The downfall of many security strategies is that they become too general and too thinly spread. But it requires different levels of security.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Commercial: Marketing content creation, patient experience, rep onboarding & training sales enablement and knowledge hub. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles. An e-commerce conglomeration uses predictive analytics in its recommendation engine.