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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Maintaining disparate systems posed a challenge. Processing took several hours to complete.

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Tech Transforms podcast: Government digital transformation and how agencies can balance innovation and security

Dynatrace

Specifically, we considered how to strike the right balance between embracing these advancements and safeguarding systems, data, and users. based Alliance for Digital Innovation (ADI). Agencies] are moving more sensitive data sets and systems into cloud environments because people are working remotely,” Nodurft said.

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Rapid Event Notification System at Netflix

The Netflix TechBlog

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

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Enhancing Operational Efficiency of Legacy Batch Systems: An All-Encompassing Manual

DZone

In the ever-changing realm of modern business practices, ensuring the successful execution of batch jobs is vital for activities like data processing, system upkeep, and the general workflow of the organization. A groundbreaking approach, as outlined in innovation – Patent US1036596B1 , has been introduced to address this challenge.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. Combining causal AI and generative AI will eventually give rise to the next phase of GPT-powered innovation.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Those hours spent troubleshooting can be spent innovating,” Smith continued. Dynatrace truly helps us do more with less.