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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. One of the primary sources of tension?

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Enhance your Lending with Predictive Analytics

BizAcuity

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

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IT leaders embrace the role of business change maker

CIO Business Intelligence

Foundry / State of the CIO That distinct view, coupled with ongoing pressure to accelerate digital business brought on by pandemic-era changes and economic uncertainties , have launched CIOs into the change management hot seat.

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Why Analytics Are Essential in Times of Crisis

Sisense

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Automate, track, and predict positive outcomes. Evan Castle is Head of Market Intelligence & Strategy at Sisense. Best of all, data preparation is 70% automated. Insights over instinct.

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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

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Oshkosh puts digital solutions into overdrive

CIO Business Intelligence

How extensive is your data-driven strategy today? An example of that enterprise-level digital strategy and alignment process was the creation of three advanced capabilities: AI and analytics, intelligent automation, and digital manufacturing. Khare: I look at uncertainty at two tiers.