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Are Data Silos Undermining Digital Transformation?

BI-Survey

Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate. Data black holes: the high cost of supposed flexibility. Data Black Holes.

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Deriving Value from Data Lakes with AI

Sisense

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Once your data is prepared for analysis, the next question is: how else can AI help you? It’s also a better way to monetize your data in the short term. It’s the future.

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A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

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Achieving Trusted AI in Manufacturing

Cloudera

Yet Gartner reports that only eight percent of industrial organizations say their digital transformation initiatives are successful. The lack of universal industrial data has been one of the major obstacles slowing the adoption of AI among mainstream manufacturers. Develop a data strategy built on a robust data platform.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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How Etihad taps data science to optimise airline operations

CIO Business Intelligence

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Our digital transformation has allowed us to be more streamlined, more agile, and more efficient. Etihad is on a digital transformation journey. A change was needed.

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Why Can’t we Advance Healthcare and Life Sciences this Fast all the time?

Cloudera

While challenges exist in data interoperability, privacy controls, ongoing compliance initiatives, etc, the industry has proven speed is possible despite these obstacles. . The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.