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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

Photo by Christina Morillo from Pexels Introduction The current decade is a time of unprecedented growth in data-driven technologies with unlimited opportunities. Since the last decade, as data science and AI have started appearing in the mainstream production environment, the collection and maintenance of massive […].

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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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RN Coders Can Improve Hospital Data Strategies

Smart Data Collective

Healthcare providers are investing more heavily in big data technology, as they strive to deal with growing challenges such as declining operating margins and an increasingly complex regulatory environment. However, many healthcare providers lack the technology or knowledge to use data prudently.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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Eating the Elephant of Data Strategy

Paul Blogs on BI

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?”

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What is your data strategy for an AI future?

CIO Business Intelligence

A longer-term danger may arise from “data inbreeding,” as AI models are trained on sub-standard synthetic data that produce outputs, which are then fed back into later models. Artificial Intelligence, CIO, Data Management, IT Leadership, IT Strategy