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Like many other branches of technology, security is a pressing concern in the world of cloud-based computing, as you are unable to see the exact location where your data is stored or being processed. This increases the risks that can arise during the implementation or management process. Cost management and containment. Compliance.
Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. The key is good dataquality. have their own additional regulations.
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Most use master data to make daily processes more efficient and to optimize the use of existing resources. This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems.
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Then there’s the broader stuff like economic uncertainty, which means really interesting choices about where you invest in technology, and the short- and long-term trade offs, hybrid workplaces, global workplaces, mobility, and how to get new tech like AI, gen AI, IoT, and quantum right and humming.
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In an earlier post, I shared the four foundations of trusted performance in AI : dataquality, accuracy, robustness and stability, and speed. You should first identify potential compliance risks, with each additional step again tested against risks. That might mean a piece of data is an outlier. Is rain 40% likely?
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Here, we discuss how you can empower your SAP operations teams through times of economic uncertainty. To reduce the risk of delays, seek out a technology solution that empowers operations and finance teams to generate their own reports with the ERP and other organizational data they have.
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