TTL #159 – Asset Management for Banks

In this webinar, we will explore an intriguing use case on “Asset Management for Banks.” Our focus will be on the technologies and integrations that support modern banking operations. Agenda: Alfresco Modules and Integrations Introduction to the modules used for the demo. Overview of the integrations with other systems and…

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Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack

The topic of GenAI is everywhere now, but even with so much interest, many developers are still trying to understand what the real-world use cases are. Last year, Docker hosted an AI/ML Hackathon, and genuinely interesting projects were submitted.  In this AI/ML Hackathon post, we will dive into a winning…

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Develop Kubernetes Operators in Java without Breaking a Sweat

Developing Kubernetes operators in Java is not yet the norm. So far, Go has been the language of choice here, not least because of its excellent support for writing corresponding tests.  One challenge in developing Java-based projects has been the lack of easy automated integration testing that interacts with a…

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3 Ways to Automatically Sync From AITable.ai to Google Sheets

For teams and individuals who juggle data and project management across AITable.ai and Google Sheets, achieving seamless data sync can seem like a daunting task. But with the advent of automation, this challenge transforms into an opportunity. AITable.ai enables you to leverage connectors and automate data syncing between platforms in…

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Building a next-gen SOC at Pinewood, a leading MSSP, underpinned by Elastic SIEM

Building a next-gen SOC at Pinewood, a leading MSSP, underpinned by Elastic SIEM By Sebastiaan Kors 06 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Cybersecurity is a critical and challenging domain that requires constant vigilance, innovation, and adaptation. As cyber threats evolve…

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v24

v24 Enhanced AI Capabilities with Vector Support & Optimized Caching Performance We are thrilled to announce the general availability of Dgraph v24, which includes DQL and GraphQL support for Vector data type, HNSW vector indexes, and similarity search. Adding embeddings, from OpenAI, Mistral, or open-source models, to your knowledge graph…

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Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling

Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling By Yaru Lin,Ranjana Devaji 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print We're committed to pushing the boundaries of search development and focusing…

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