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Automation Gives DevOps More Horsepower

erwin

Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. Data Intelligence: Speed and Quality Without Compromise.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. The journey starts with sound data. If the training data is biased or incomplete, the models may generate inaccurate content.

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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. The tipping point came when a significant payroll model took six people half a day to resolve without a definitive answer, leading to a loss of confidence in the Excel model.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. Data integration and analytics IBP relies on the integration of data from different sources and systems.

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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Big Data Hub

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. What is data quality?

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EUROPE: Data protection regulators publish myth-busting guidance on machine learning

DLA Piper Privacy Matters

During the development and training of their algorithms, ML systems begin to adapt and recognise patterns within its data. They can then use this training to interpret new data and form outputs based on the intended process. For example: How is the data interpreted? How can an outcome be verified as accurate?

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How to streamline and enhance critical F&A functions with generative AI

IBM Big Data Hub

Perhaps you are using a next-gen Enterprise Resource Planning (ERP) system and an unmatched F&A planning platform that delivers advanced predictive analytics. Imagine the future of Finance and Accounting (F&A). In this future, your F&A function is cutting edge.