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Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups…

ODSC - Open Data Science

Video of the Week: Beyond Monitoring: The Rise of Data Observability Watch as Monte Carlo’s Shane Murray introduces “Data Observability” as the game-changing solution to the costly reality of broken data in advanced data teams.

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What Is Data Observability and Why You Need It?

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It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your data observability strategy. In either case, the change can affect analytics.

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How Data Observability Helps to Build Trusted Data

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Author’s note: this article about data observability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Is your data ready to use? That’s what makes this a critical element of a robust data integrity strategy. What is Data Observability?

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Cloud-Based Data Management Platforms in the Age of Privacy

Dataversity

Currently, many businesses are using public clouds to do their Data Management. Data Management platforms (DMPs) started becoming popular during the late 1990s and the early 2000s. Click to learn more about author Keith D.

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Data Trends for 2023

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Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

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Data Integrity Trends for 2024

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But with data integrity, you gain more trustworthy and dependable AI results for confident data-driven decisions that help you grow the business, move quickly, reduce costs, and manage risk and compliance. Mainframe and IBM i systems remain critical parts of the modern data center and are vital to the success of these data initiatives.