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Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. .

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How to Operationalize Your Data Science with Model Ops

TIBCO - Connected Intelligence

Just as you wouldn’t train athletes and not have them compete, the same can be said about data science & machine learning (ML). Model Ops is a cross-functional, collaborative, continuous process that focuses on managing machine learning models to make them reusable and highly available via a repeatable deployment process.

Data 72
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What is AIOps?

CircleCI

AIOps uses machine learning and big data to assist IT operations. It might be easy to dismiss AIOps as yet another passing trend in a market flooded with AI-powered software as companies seek ways to market their machine learning tools. Effective AIOps acts as a frontline interpreter for all this data.

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Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

Hacker Earth Developers Blog

To overcome this challenge, IBM decided to launch a program called the Skills Initiative that aimed to train and retrain IBM employees in high-demand skills, such as cloud computing, data analytics, and cybersecurity. For example, offering eLearning assets to employees every quarter, such as an eBook relevant to their expertise.

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CDM 2020: “Operationalizing CDM” Through Risk-Based Vulnerability Management

Tenable

AWARE then assigns scores for the above three categories of vulnerability based on four metrics: Base – The base CVSS (Common Vulnerability Scoring System) value, scaled to prioritize the worst problems first. To learn more about risk-based vulnerability management, visit: [link].

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Top Tricks to Detect Outliers and Anomalies

TIBCO - Connected Intelligence

The user can choose the similarity metric—Euclidean or Correlation—and other parameters like number of clusters to create line similarity or clustering label column in the data. Hierarchical clustering is also available from the tools menu in Spotfire and results in heat map visualization with dendrogram based on distance metric.

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Technology Trends for 2023

O'Reilly Media - Ideas

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. We use units viewed because it measures what people actually do on our platform. NoSQL databases was second, with 7.6%

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