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Find your perfect movie with ClickHouse, vector search, Hugging Face API, and Next.js

Get an introduction to machine learning using Aiven services and the Hugging Face API to recommend movies based on Wikipedia synopses. We'll build a project that uses vector search to find the perfect movie based on user input. We'll use ClickHouse®, a fast open-source column-oriented database, which already supports built-in vector comparison capabilities. To visualize our results, we'll rely on Next.js and to we'll get vector embeddings using some free tools and a HuggingFace model.

6 Ways Technology Altered the Course of Logistics Industry Evolution

Over the years, technology has had a profound impact on almost every industry. But perhaps one of the most significant transformations has been seen in the logistics industry. The rise of new technologies like artificial intelligence, big data analytics, and automation has completely altered the way companies operate and manage their supply chains. From managing inventory to tracking shipments, technology has revolutionized every aspect of logistics.

Analyzing GCP Costs with BigQuery: A How-To Guide

Effective Google Cloud Platform (GCP) cost management is an essential aspect of cloud administration, ensuring that resources are used optimally without overspending. Utilizing BigQuery for GCP cost analysis offers a comprehensive solution to understand and control your cloud expenses. The integration of GCP billing data into BigQuery allows for real-time analysis and detailed insights into your cloud spend.

Understanding Your Cloud Bill: A Beginner's Guide

Embarking on the journey of understanding your cloud bill can initially seem daunting, but grasping a few essential concepts and familiarizing yourself with common terminology can significantly demystify the process. At its core, cloud billing is the method by which cloud service providers charge for the resources and services that your business consumes.

Improvements to DSDL Container Build Process

We’re happy to announce that with the upcoming release of Splunk App for Data Science and Deep Learning (DSDL) 5.1.1 we’re significantly overhauling the build process for containers in DSDL. More and more customers are adopting DSDL for some of their most complex and advanced workloads. In this newest release, we’re making the process of deploying, building and maintaining containers for DSDL more modular, more secure, more robust, and more scalable as well as adding some new features!