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Seattle startup Revefi, which sells AI cloud data observability tools, lands $10.5M

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million in new funding for its artificial intelligence enterprise observability platform that helps companies keep track of their data costs, usage and performance. (Revefi Photo) Seattle startup Revefi raised $10.5

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The Compelling Case for AIOps + Observability

Dataversity

For instance, a 2021 ITIC report found that a single hour of server […]. The post The Compelling Case for AIOps + Observability appeared first on DATAVERSITY. This also increases the pressure to do more in less time, with a goal of zero downtime and rapid problem resolution. Real costs to the business are at stake.

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Utilizing the strengths of each, they now work to help their clients gain insights from their data in a way that propels society toward greater progress. Tangent Works Recognized by Gartner as a Cool Vendor in 2021, Tangent Works’ goal is to help organizations effectively utilize their time-series data for predictive models.

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Data Trends for 2023

Precisely

By automating the collection of intelligence about data, inferring relationships among various data entities, and detecting anomalies, AI automates many of the key elements of data integrity – including data observability, data quality, and data enrichment.

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6 benefits of data lineage for financial services

IBM Journey to AI blog

Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. Data lineage provides that reliability—and more. This blind spot became apparent in March of 2021 when CNA Financial was hit by a ransomware attack that caused widespread network disruption.

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Data Program Investments are Yielding Business Value

Precisely

The 2023 Survey of Data and Analytics Professionals, from the Center for Business Analytics at Drexel University’s LeBow College of Business ( LeBow ) in partnership with Precisely, asked respondents to share the goals and outcomes of their data programs and initiatives.

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From Data Quality to Data Integrity: The Path to Trusted Data

Precisely

Real-time access to data in the platform of choice, an issue related to data integration success or failure, was ranked third at 37%. And proactive insight into data trends, patterns, and anomalies, with results from investing in data observability, ranked fourth at 30%.