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VeloxCon 2024: Innovation in data management

IBM Big Data Hub

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

In 2024, sustainability is taking center stage. In addition to CSRD, California has new mandatory reporting rules coming into play in 2024, while countries around the world are on the verge of implementing their own non-financial disclosure and documentation requirements. trillion to the global economy by 2050.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Epicor announces Grow portfolio to weave AI into ERP

CIO Business Intelligence

Grow will reimagine how AI-powered ERP software can and should serve the supply chain industries and their workers, delivering more than 200 adaptive industry use cases, it said at its Insights 2024 user conference in Nashville, Tennessee. “We Grow Inventory Forecasting, Grow BI, and Grow FP&A are generally available.

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7 customer experience trends in 2024

IBM Big Data Hub

Also, optimizing search on webpages makes for an easier digital customer experience. Along with optimized search, the help center includes blogs, FAQs, contact information, and topic level organization. These metrics can create advancements to relationships, products, and service experiences with a business.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization.

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. After DataRobot AutoML has delivered an optimal model , Continuous AI helps ensure that the currently deployed model will always be the best one even as the world changes around it. Model Observability with Custom Metrics.

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