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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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Striving for the Application Development Specialization with Google Cloud Platform

Perficient

System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. Detailed design documents outline the system architecture, ensuring a clear blueprint for development. Key GCP products used included Cloud Build (Terraform, Jenkins), Cloud SQL, GKE, Data Fusion, and Cloud Storage.

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14 in-demand cloud roles companies are hiring for

CIO

With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success. Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership.

Cloud 322
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Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111
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What is Cloud Computing? Everything You Need to Know – Architecture, Benefits & Much More

Openxcell

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Self-service is essential to cloud computing since it allows users to get started right away by just filling out a web form. Types of cloud computing.

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Fundamentals of Data Engineering

Xebia

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. The best data engineers view their responsibilities through business and technical lenses.

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UC Riverside turns to cloud to supercharge scientific research

CIO

To that end, University of California, Riverside has launched an ambitious cloud transformation to shift from a small on-premises data center to an advanced research platform powered by Google Cloud Platform and its various service offerings. As such, migrating to the cloud alone was not part of Gunkel’s plan.

Research 130