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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Google Cloud users will come together to learn from Google experts and partners on topics from generative AI to cloud operations and security.

Google 258
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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And industry watchers have begun to make their technology predictions for 2024. Data indicates these technology trends have taken hold. Technology prediction No. Technology prediction No.

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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246
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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

Not only are cyberattacks increasing, but they’re also becoming more sophisticated, with tools such as  WormGPT  putting generative AI technology in the hands of attackers. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 192
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Revolutionizing System Testing With AI and ML

DZone

The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers. This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools.

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Extract metrics from business events to increase the value of business analytics

Dynatrace

Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies.

Analytics 197