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iVEDiX Inc. Extends Alliance with insightsoftware to Deliver Best-in-Class Support For Longview Analytics Customers in North America

Jet Global

iVEDiX was selected to service the Longview Analytics market in this extended partnership because of their unique history with current customers and their deep understanding of the platform, BI strategy, and customer needs. iVEDiX has delivered brilliantly curated digital solutions for some of the world’s most progressive organizations.

IoT 80
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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Why mainframe application modernization stalls We’ve experienced global economic uncertainties in recent memory, from the 2008 “too big to fail” crisis to our current post-pandemic high interest rates causing overexposure and insolvency of certain large depositor banks. Why did they fail to launch a new mobile app?

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Sentry’s David Cramer on bootstrapping a unicorn

CIO Business Intelligence

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. We rely heavily on automated testing. million developers today.

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New CIO appointments in India, 2022

CIO Business Intelligence

He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations.

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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware.

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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Tie tests to alerts.

Testing 214
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

A look at how guidelines from regulated industries can help shape your ML strategy. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring.