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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

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5 Ways Data Engineers Can Support Data Governance

Alation

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.

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How Data Ethics Supports Governance & Monetisation

Alation

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. Data as an Insight: Operational Transformation.

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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. The final article in this series will be devoted to debugging.). Identifying the problem.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.