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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

Since the last decade, as data science and AI have started appearing in the mainstream production environment, the collection and maintenance of massive […]. The post An Enterprise Data Strategy for Building the Trustworthy AI Practice appeared first on Analytics Vidhya.

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Podcast: The Data Strategy Show

DataKitchen

Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. Christopher Bergh is the CEO and Head Chef at DataKitchen. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Enjoy the chat.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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The Unexpected Cost of Data Copies

How replicated data increases costs and impacts the bottom line. How a next-gen data lake can halt data replication and streamline data management. What to consider when implementing a "no-copy" data strategy. How Dremio delivers clear business advantages in productivity, security, and performance.

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Secrets to Data Strategy Success from Data Champions Online Europe

Corinium

Three key themes emerged as 17 of Europe’s top data leaders shared the secrets of their success with more than 250 attendees at this insight-packed five-day event.

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Transform Your Data Strategy with the Denodo Platform and Snowflake

Data Virtualization

Reading Time: 3 minutes In today’s fast-paced, data-driven world, organizations are always looking for new ways to make the most of their data while keeping it accessible, secure, and cost-effective. That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes.