Data Management Briefing

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Here is the latest in data management news. This selection is curated by Data Migration International.

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Today is October 25, 2024. Here is what we are covering. And now it's time for our special section, fun fact Friday. Did you know that the IBM Simon launched in 1992 is considered the world's first smartphone? It featured a touch screen, could send emails, and even sent faxes, pretty groundbreaking for its time.

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Imagine carrying that around back then. A recent survey by SAP titled AI state of adoption reveals a cautious yet progressing landscape of AI integration within the manufacturing sector. While 40% of manufacturing organizations have no plans for AI implementation, 39% are either planning in the next 12 to 24 months or currently evaluating it with only 21% actively using or implementing AI technologies. The primary motivation for these organizations is to enhance business processes by automating repetitive tasks, thus improving operational efficiency and reallocating human resources to increase competitiveness. ERP providers like QAD are aiding manufacturers to adopt AI pragmatically, combining it with solutions like machine learning to ensure quality, privacy, and compliance in their processes.

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Speaking of AI, IBM Consulting's introduction of its Gen AI program raised discussions on AI ownership and cost implications for enterprises. Analysts emphasize the importance of CIOs establishing criteria to decide when to leverage a consultant's AI systems versus their own. IBM scale and integration of AI agents suggest potential efficiencies, but experts advise weighing the benefits and cost effectiveness carefully. Concerns around data management, intellectual property, and the variety of AI models in use further complicate decisions for enterprises considering outsourced AI services. Shifting gears to the electric vehicle market, Tesla is planning to introduce more affordable electric vehicles next year as revealed in their Q3 earnings report.

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The company anticipates the launch of these new models in the first half of twenty twenty five, which will utilize a mix of existing and next generation platform technologies. Despite challenges, including a recall of its Cybertruck and a federal investigation into its full self driving feature, Tesla's Q3 showed financial growth with an 8% increase in net income to $2,510,000,000. This marks an end to their previous 4 quarter trend of missing earnings targets. Scientists at Pacific Northwest National Laboratory are advancing computational chemistry by using cloud computing in the Tech 4 project, which integrates quantum computing and AI. This initiative aims to make supercomputer resources accessible for critical tasks, like breaking down toxic forever chemicals.

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Their proof of concept successfully simulated chemical interactions with perfluoroactanoic acid, revealing potential degradation pathways. Supported by partners such as Microsoft, the team is also developing educational materials at the University of Texas at El Paso to foster a community around this innovative scientific computing approach. Meanwhile, in the world of digital transformation, developing a cohesive data migration plan is essential for organizations transitioning to SAP S4HANA Cloud, especially when handling disparate systems and legacy data. Ensuring data quality and compliance during migration is crucial to avoid lengthy processes and guarantee timely access to critical business data. Solutions like Data Migration International's, Jivs, can automate data cleansing and streamline historical and operational data management as seen with Buhler AG and Hall Armachorn AG, both of which significantly improved their migration processes.

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Buhler reduced operating costs by 80%, and Hall met a tight timeline, demonstrating the efficiency of Jiv's in managing digital transformations.

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That's all for today. Data Migration International is the leading expert in data management, application retirement, and data migration. To learn more about DMI, visit jivs.comjivs.com.