Building AI with MongoDB: Conversation Intelligence with Observe.AI

The text discusses how Observe.AI uses MongoDB to power its AI-driven conversation intelligence platform. Observe.AI focuses on improving contact center performance by analyzing customer interactions. The company has developed advanced AI and ML models for tasks such as text classification and sentiment analysis. They also use speech processing techniques for tasks like automatic speech recognition. The text highlights the role of MongoDB in storing and processing unstructured data. Additionally, the text features an interview with Markandey Pathak, a certified developer in multiple programming languages, discussing the benefits of having a versatile skill set in the tech industry.

Read: https://www.mongodb.com/blog/post/building-ai-mongodb-conversation-intelligence-observe-ai

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Where is the Complexity? Part 3

Continuation of my series on the complexity of ensuring data consistency in microservice based applications.

Read: https://blogs.oracle.com/database/post/where-is-the-complexity-part-3

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Революция в цифровой инфраструктуре: контейнерные центры обработки данных (КЦОД)

Приветствую всех! Я Геннадий Гужов, студент Высшей школы экономики и продакт-менеджер в компании "Солдвиг", специализирующейся на контейнерных дата-центрах. В этой статье я расскажу о контейнерных дата-центрах: что они из себя представляют, из чего состоят и какие преимущества они предлагают. Мы изучим ключевые аспекты, помогающие понять, почему эта инфраструктура становится важной частью современного бизнеса. Будьте в курсе последних тенденций и развития технологий — ваше знание — ваша сила!

Давайте начнем с основ: что такое дата-центр?


Читать: https://habr.com/ru/articles/811423/

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Search PDFs at Scale with MongoDB and Nomic



Read: https://www.mongodb.com/blog/post/search-pdfs-at-scale-mongodb-nomic

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Consolidating Development Environments with Autonomous Database Elastic Pools

Learn how Autonomous Database Elastic Pools can provide a consolidation environment for development databases.

Read: https://blogs.oracle.com/database/post/consolidating-development-environments-with-autonomous-database-elastic-pools

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MongoDB AI Applications Program Partner Spotlight: Cohere Brings Leading AI Foundation Models to the Enterprise

Cohere, a leading enterprise AI platform, has joined MongoDB's new AI Applications Program (MAAP) to help organizations build and deploy generative AI applications at scale. Cohere's Command R series of generative models supports advanced retrieval augmented generation (RAG) and offers tools for automating complex business processes. By integrating Cohere's technology with MAAP, companies can easily implement AI-powered solutions to address real-world business challenges. MongoDB and Cohere aim to be trusted AI partners for enterprises, delivering cutting-edge applications with data privacy and security in mind. Another example of AI technology using MongoDB is Observe.AI, which focuses on conversation intelligence for contact centers. The company has raised over $200 million in funding and uses advanced AI and ML techniques to provide analysis and coaching to improve customer service. MongoDB's technology platform has been instrumental in helping both Cohere and Observe.AI deliver AI solutions for businesses globally. The text discusses the challenges faced in the financial, retail, and manufacturing industries when dealing with large volumes of unstructured PDF data. It highlights the importance of leveraging technologies like semantic search, AI, and PDF search capabilities to improve information discovery, automate processes, and unlock the full potential of data. The use of advanced technologies can lead to increased efficiency, accuracy, and cost savings, ultimately driving digital transformation and operational improvements. The text also mentions the benefits of using MongoDB Atlas Vector Search and Nomic Embed for efficient PDF search applications in various industries. It encourages organizations to explore innovative solutions through innovation workshops with industry experts.

Read: https://www.mongodb.com/blog/post/ai-applications-program-partner-spotlight-cohere-leading-ai-foundation-models-enterprise

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Нельзя предполагать, что все используют UTF-8

Как вычислять кодировку при помощи статистики

Люди говорят на бесчисленном количестве разных языков. Эти языки не только несовместимы между собой, но и представляют огромную трудность при транспиляции в среде исполнения. К сожалению, все попытки стандартизации провалились.

По крайней мере, в таком положении вещей есть, кого винить: Бога. Ведь именно он вынудил человечество говорить на разных языках из-за древнего спора о строительстве объекта недвижимости.

Однако человечество может винить себя за то, что сложности в общении испытывают компьютеры.

И одна из самых больших проблем одновременно является самой простой: компьютеры не договорились о том, как записывать буквы двоичным кодом.


Читать: https://habr.com/ru/companies/ruvds/articles/811811/

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Atlas Edge Server is Now in Public Preview



Read: https://www.mongodb.com/blog/post/atlas-edge-server-now-in-public-preview

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Atlas Stream Processing is Now Generally Available!



Read: https://www.mongodb.com/blog/post/atlas-stream-processing-now-generally-available

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Elevating Database Performance: Introducing Query Insights in MongoDB Atlas



Read: https://www.mongodb.com/blog/post/elevating-database-performance-introducing-query-insights-mongodb-atlas

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MongoDB Introduces Workload Identity Federation for Database Access



Read: https://www.mongodb.com/blog/post/mongodb-introduces-workload-identity-federation-database-access

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Top AI Announcements at MongoDB.local NYC



Read: https://www.mongodb.com/blog/post/top-ai-announcements-at-mongodb-local-nyc

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Welcome to MongoDB.local NYC 2024!



Read: https://www.mongodb.com/blog/post/welcome-to-mongodb-local-nyc-2024

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Building Modern Applications Faster: New Capabilities at MongoDB.local NYC 2024



Read: https://www.mongodb.com/blog/post/building-modern-applications-faster-new-capabilities-mongodb-local-nyc-2024

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Leading Industry Analysts Comment on the Release of Oracle Database 23ai

Oracle Database 23ai, the latest release of Oracle’s converged database is now generally available as a broad range of cloud services. This long-term support release includes Oracle AI Vector Search and more than 300 additional major features. Read reactions from leading industry analysts on this exciting news.

Read: https://blogs.oracle.com/database/post/oracle-database-23ai-industry-analyst-reactions

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Oracle Announces General Availability of AI Vector Search in Oracle Database 23ai

Oracle Database’s ability to store vector data marks a significant milestone in the evolution of database technology by unifying enterprise business data with AI data. AI Vector Search enables a new class of applications by enhancing traditional business search with semantic search. The feature allows you to generate, store, index, and query vector embeddings along with other business data, using the full power of SQL

Read: https://blogs.oracle.com/database/post/oracle-announces-general-availability-of-ai-vector-search-in-oracle-database-23ai

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New! Discover connections with SQL Property Graphs in Oracle Autonomous Database

A brief introduction to new support for Oracle Database 23ai SQL Property Graphs -- a capability to create and query property graphs in SQL -- in the new Autonomous Database Always Free service on OCI and Autonomous Database Container Image.

Read: https://blogs.oracle.com/database/post/sql-property-graphs-in-oracle-autonomous-database

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Try Oracle Database 23ai for Free

Oracle Database 23ai has game-changing innovations for AI and developer productivity, and the easiest and quickest way for you to try out these new features today is with Oracle’s free database offerings.

Read: https://blogs.oracle.com/datawarehousing/post/23ai-autonomous-database-free

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JSON Relational Duality: The Revolutionary Unification of Document, Object, and Relational Models

JSON Relational Duality is a landmark capability in Oracle Database 23ai that provides game-changing flexibility and simplicity for Oracle Database developers. This breakthrough innovation overcomes the historical challenges that developers have faced when building applications, either when using the relational model or when using the document model. JSON Relational Duality delivers a solution that provides the benefits of both relational tables and JSON documents.

Read: https://blogs.oracle.com/database/post/json-relational-duality-app-dev

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Oracle Announces General Availability of JSON Relational Duality in Oracle Database 23ai

JSON Relational Duality is a new capability in Oracle Database 23ai that delivers a solution that unifies the benefits of both the relational and document models. Developers now get the flexibility and data access simplicity of the document model as well as the storage efficiency, consistency, and use-case flexibility of the relational model.

Read: https://blogs.oracle.com/database/post/oracle-announces-general-availability-of-json-relational-duality-in-oracle-database-23ai

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Announcing Oracle Database 23ai : General Availability

Oracle Database 23ai, previously known as Oracle Database 23c, is now Generally Available. This blog will describe some of the major features and where you can download the software.

Read: https://blogs.oracle.com/database/post/oracle-23ai-now-generally-available

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