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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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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. In fact, a data framework is critical first step for AI success. There is, however, another barrier standing in the way of their ambitions: data readiness.

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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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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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Mastering the Art of Data Science Strategy: A Conversation with AI Visionary Vin Vashishta

Analytics Vidhya

Dive into the transformative world of data science with Analytics Vidhya’s groundbreaking series Leading With Data. In this exclusive interview from the series, Kunal Jain, CEO of Analytics Vidhya, engages in a riveting conversation with Vin Vashishta, a distinguished AI leader.

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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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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. VentureBeat reports that only 13% of companies are delivering on their big data strategies.