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What companies get wrong about data transformation

CIO Business Intelligence

I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”. So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Analytics, Chief Data Officer, Data Management

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e., incorporates the business context of the data and data products that are being recommended and delivered). As you would guess, maintaining context relies on metadata.

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A new data platform revitalizes a century-old manufacturer

IBM Big Data Hub

Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, used worldwide by many leading food and beverage brands, recently began just such a reinvention. A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge.

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Key Challenges Affecting Data Transformations—Dev and Testing

Wayne Yaddow

Common challenges and practical mitigation strategies for reliable data transformations. Photo by Mika Baumeister on Unsplash Introduction Data transformations are important processes in data engineering, enabling organizations to structure, enrich, and integrate data for analytics , reporting, and operational decision-making.

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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

The BMW Group is headquartered in Munich, Germany, where the company oversees 149,000 employees and manufactures cars and motorcycles in over 30 production sites across 15 countries. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses. Manufacturers are attempting to monitor their facilities in near real-time. Factory Monitoring?—?