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5 ways IBM helps manufacturers maximize the benefits of generative AI

IBM Big Data Hub

While still in its early stages, generative AI can provide powerful optimization capabilities to manufacturers in the areas that matter most to them: productivity, product quality, efficiency, worker safety and regulatory compliance. Generative AI can improve the fidelity of images that are then reviewed for quality assurance.

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FDA FSMA: Providing value beyond compliance

IBM Big Data Hub

Though the rule doesn’t go into effect until January 2026, companies must proactively and strategically prepare their supply chain now, as this complex regulation will require companies to collect and maintain detailed information about the ingredients, processing and distribution of certain products.

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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

Here, we will look at examples and applications of renewable energy across a variety of industries, its impact on energy systems and the energy technologies that will drive its use in the future. trillion in 2023. But with all of this new capacity, how are renewable energy resources really being used? What is renewable energy?

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Five Steps to Rethink Manufacturing with Product Design Data Exchange Strategy

Rocket Software

Manufacturing is a complex, evolving industry, and disruptions in the past year and a half have complicated these operations even further. According to KPMG’s Global Manufacturing Outlook Report , the greatest threat to manufacturers’ growth over the next three years is the risk to the supply chain.

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The proposed EU Cyber Resilience Act: what it is and how it may impact the supply chain

Data Protection Report

The CRA introduces common cybersecurity rules for manufacturers, developers and distributors of products with digital elements, covering both hardware and software. For example: “ products must protect the availability of essential functions, including the resilience against and mitigation of denial of service attacks”. .

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

Based on our experience speaking with CTOs and IT leaders in large enterprises, we have identified the most common misconceptions about cloud data warehouses that cause companies to hesitate to move to the cloud. What is holding back the other 50% of datasets on-premises? In addition, companies have complex data security requirements.

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Big California Privacy News: Legislative and Enforcement Updates

Data Matters

For businesses operating in California or whose websites, products or services reach California residents, these changes mean new compliance obligations, some of which could require significant investments of time and resources. Just like the original version of CCPA, the Attorney General has sole enforcement powers (e.g.,

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