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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? The internet protocols helped keep the internet open instead of closed.

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How to Fix ‘AI’s Original Sin’

O'Reilly

Only the most deep-pocketed AI companies will be able to afford pre-emptive payments for the most valuable content, which will deepen their competitive moat with regard to smaller developers and open source models. This architecture is not dissimilar to the model of early online information providers like AOL and the Microsoft Network.

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Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. The following are a few examples of functional test automation tools: Quick Test Professional from HP Rational Robot from IBM Selenium, which is an open-source framework.

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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Apache Spark.

Analytics 212
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source. Major Use Cases.

Big Data 321
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OpenTelemetry enables automated operations management at scale

Dynatrace

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This includes CPU activity, profiling, thread analysis, and network profiling.

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Infrastructure Monitoring tools: 3 steps to evolve ITOps into AIOps

Dynatrace

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. Getting adequate insight into an increasingly complex and dynamic landscape.