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Improve Underwriting Using Data and Analytics

Cloudera

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Incorporating these new data sources into the underwriting process does not have to be a massive overhaul of infrastructure that takes years to roll out. Step two: expand machine learning and AI.

Analytics 105
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Winning With Data in the Fight Against Fraud, Waste, and Abuse

Cloudera

Namely, agency leaders and staff lack the modernized data infrastructure and tooling needed to fight FWA with such massive amounts of money and data flowing through their agencies. A team approach: rich, scalable data analytics from Cloudera, GAI, Dell, and NVIDIA. This exacerbated issues that were already in place.

Data 104
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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. However, many businesses still have not been able to take advantage of the benefits of the “real-time” aspect of these analytics. . Reading Time: 2 minutes. The Problem with Kafka: Accessing Real-Time Information.

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What is AIOps?

CircleCI

IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Each incident demands our time and attention, or we risk leaving our infrastructure vulnerable and our data — along with that of our customers — exposed to attackers. Enter the world of AIOps. A brief history of AIOps.

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

Hacker Earth Developers Blog

Adapting to new technology such as when rewriting their code base or changing their underlying infrastructure. 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.

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Promoting cybersecurity awareness in your boardroom

Lacework

The right platform will provide a deep look into your acquisition target’s cloud infrastructure. A strategic use of machine learning analytics can minimize the amount of data that a SIEM processes, which helps businesses cut costs by allowing them to consolidate tools. Acquisition. Post-integration.

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

Tenable

At a high level, according to the Cybersecurity and Infrastructure Security Agency (CISA), AWARE categorizes vulnerabilities in three ways: Software Vulnerability (VUL) – Individual CVEs (Common Vulnerabilities and Exposures) identified on network endpoints by vulnerability scanners. While refinements are anticipated, AWARE 1.0