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The blueprint for a modern data centerĀ 

IBM Big Data Hub

Part one of this series examined the dynamic forces behind data center retransformation. Now, we’ll look at designing the modern data center, exploring the role of advanced technologies, such as AI and containerization, in the quest for resiliency and sustainability. billion in 2022. billion in 2022.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Keep an eye on the eight top trends below that we believe will be significant in the year 2022. Data Gets Meshier. AI Accountability. Companies Commit to Remote.

Testing 245
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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to ā€œconnect the dotsā€ across their data to drive optimal outcomes. More critically, they will continue to struggle becoming more data-driven within their organizations, missing out on value opportunities.

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How The Explosive Growth Of Data Access Affects Your Engineerā€™s Team Efficiency

Smart Data Collective

Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes ā€” economic, technical, and alterations in customer behavior and marketing strategies , to mention a few.

Big Data 104
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7 famous analytics and AI disasters

CIO Business Intelligence

In 2017, The Economist declared that data, rather than oil, had become the worldā€™s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 142
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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Integrating reporting to move to a more streamlined, efficient approach to data collection.

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5 Alation Customers Sharing Data Successes at Snowflake Summit 2023

Alation

So itā€™s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26ā€“29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance teamā€™s solution?