AI applications Archives

Tech Optimizer

June 17, 2025

EnterpriseDB targets AI development with latest update

EnterpriseDB has introduced new features for its EDB Postgres AI platform, including a low-code/no-code environment for application development and enhanced data observability across various databases. The platform, launched in May 2024, integrates relational and non-relational data, automates data pipelines, and supports multiple workloads. The new capabilities aim to improve the success rate of AI projects, which face an estimated 80% failure rate in transitioning from development to production. The updates include tools for managing PostgreSQL databases in hybrid cloud and on-premises environments, Transparent Data Encryption for security, and an analytics engine optimized for AI workloads. EnterpriseDB's enhancements were influenced by customer feedback, focusing on maximizing the value of existing data and supporting GenAI workflows. The company plans to expand its AI ecosystem and enhance its competitive position within the PostgreSQL community.

Tech Optimizer

June 17, 2025

EDB Postgres AI Accelerates New Era of Sovereign Data and AI for Enterprises, Industries, and Nations

EnterpriseDB has introduced significant advancements to its EDB Postgres AI (EDB PG AI) platform, enabling secure and compliant deployment of AI solutions across Postgres environments. The platform integrates transactional, analytical, and AI workloads into a unified system, featuring automatic pipelines and built-in development tools for data automation. Key capabilities include low-code/no-code simplicity for rapid AI pipeline creation and comprehensive hybrid management for real-time insights across databases. Recent research indicates that only 13% of enterprises have successfully implemented agentic AI applications at scale, with early adopters achieving up to 227% higher ROI. Collaborations with Red Hat aim to provide organizations with solutions for successful AI outcomes. New features include enhanced data security, a purpose-built PG AI Analytics Engine for high-performance queries, and a universal data store for various data models. Performance advantages include six times better total cost of ownership (TCO) compared to SQL Server and up to 150 times faster NoSQL performance than MongoDB. A comparative analysis showed that EDB PG AI reduced overall complexity by 67% and maintenance costs by 38%.

Tech Optimizer

June 17, 2025

Databricks Unveils Lakebase Database for AI Applications

Databricks acquired the serverless Postgres startup Neon for approximately billion and integrated this technology into its offerings, launching Databricks Lakebase, a new operational database designed for intelligent applications. Lakebase is a fully-managed Postgres database aimed at addressing the integration of operational and analytical data for AI workloads. It operates on PostgreSQL and allows developers to manage data applications without server infrastructure concerns. Databricks also introduced additional products, including Lakeflow Designer, a no-code ETL tool, Databricks One for easy access to data and AI capabilities, and Agent Bricks for automating the creation of customized AI agents.

Tech Optimizer

June 16, 2025

Databricks rolls out Lakebase Postgres and Agent Bricks for AI-era apps

Databricks has introduced the Lakebase Postgres database layer to enhance its lakehouse architecture, facilitating AI applications and analytics on operational data. The company also launched Agent Bricks to simplify the development of automated AI agents. During the Data + AI Summit, CEO Ali Ghodsi emphasized the importance of transitioning from outdated systems to modern solutions for AI. Lakebase, powered by Neon technology, is a fully managed, Postgres-compatible database that supports data loading from over 300 sources. Databricks aims to unify operational and analytical systems for real-time decision-making. The summit outlined a three-chapter framework: establishing the lakehouse, integrating AI, and introducing Lakebase. Agent Bricks enables business users to create AI agents without extensive technical knowledge, while Managed Iceberg Tables support external engines and promise performance optimizations. Databricks announced partnerships with Microsoft and Google Cloud for deeper integration and AI model usage. The company is investing 0 million in AI education and plans to release Lakeflow Designer for no-code ETL capabilities. Databricks anticipates reaching .7 billion in annualized revenue by July, with a growth rate of 50 percent and plans to hire 3,000 employees in 2025. Lakebase is currently in Public Preview.

Tech Optimizer

June 14, 2025

Striim Announces Neon Serverless Postgres Support with Databricks

The integration of real-time data for AI applications is crucial, but traditional ETL processes can introduce latency and complexity. Open-source Postgres is a popular choice for developers, and Neon has developed an AI-driven approach to database creation. Databricks has launched Lakebase, a managed Postgres database, after acquiring Neon. Striim has expanded its Postgres offerings to facilitate high-throughput ingestion from Neon into Databricks for real-time analytics and enables rapid data delivery from legacy systems into Neon. This allows for seamless data flow for AI applications, including support for real-time ingestion, Change Data Capture (CDC), and event streaming from Apache Kafka. Striim's platform supports operational data replication from various traditional systems and upholds data governance with AI-driven PII detection. This expansion enhances partnerships with Databricks and supports real-time SQL Server data access.

AppWizard

June 13, 2025

SAG-AFTRA board approves new contract

The SAG-AFTRA performers union has approved a tentative agreement with leading game companies, encouraging members to vote positively for ratification on June 18th. The new contract includes a 15.17% increase in compensation, annual raises of 3% from November 2025 through 2027, and an increase in health and retirement contributions from 16.5% to 17%, rising to 17.5% by October 2026. It provides protections against exploitation related to artificial intelligence, requiring consent for the use of digital likenesses and mandating their withdrawal during strikes. Safety provisions include the presence of a qualified medical professional during hazardous rehearsals and performances, as well as mandated rest periods for on-camera principal performers. Employers are prohibited from asking performers to undertake stunts during virtual auditions. The tentative agreement led to the suspension of strike action on June 11th.

Tech Optimizer

June 12, 2025

Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks

The demand for real-time data in artificial intelligence is increasing, but integrating data from legacy systems poses challenges due to traditional ETL pipelines that can introduce latency. Open-source Postgres is favored for operational needs, and Neon offers a new approach to database creation using AI agents. Databricks has launched Lakebase, a managed Postgres database for AI applications, after acquiring Neon. Striim has expanded its Postgres offerings to enable high-throughput data ingestion from Neon into Databricks for real-time analytics and supports rapid data delivery from legacy systems into Neon. Striim's platform allows real-time replication of operational data from various traditional systems to Neon, real-time ingestion into Databricks, and enhances generative AI applications with inline data enrichment. Alok Pareek from Striim highlighted the importance of this expansion for Postgres-native teams to build real-time AI architectures. Striim also supports Databricks Delta Lake and SQL2Fabric-X for real-time SQL Server data access. Striim's platform processes over 100 billion daily events with sub-second latency, aiding proactive decision-making.

Tech Optimizer

June 12, 2025

‘Postgres Has Won’

Databricks has launched Lakebase, a fully managed Postgres database, during the Data + AI Summit 2025. Lakebase is currently in public preview and integrates with Databricks' Data Intelligence Platform, targeting AI-driven application development. It introduces an operational layer to the lakehouse ecosystem, allowing developers to build AI applications on a multi-cloud platform. The database architecture, powered by Neon, separates compute from storage for independent scaling, ensuring low latency and high concurrency. Lakebase supports rapid deployment and a usage-based pricing model, and features include copy-on-write clones for development and testing. Databricks aims to create a new category in the database market with Lakebase, which is built on open-source Postgres and compatible with existing tools. The operational database market is valued at over 0 billion, and recent surveys indicate PostgreSQL's rising popularity among developers. The launch follows Snowflake's acquisition of Crunchy Data to enhance its Postgres offerings, indicating a trend towards PostgreSQL in the industry.

Tech Optimizer

June 12, 2025

Databricks launches Lakebase Postgres database for AI era

Databricks has launched Lakebase, a fully managed Postgres database designed for AI applications, currently in Public Preview. It integrates an operational database layer into Databricks' Data Intelligence Platform, facilitating the development of data applications and AI agents in a multi-cloud environment. Lakebase uses Neon technology within a lakehouse architecture, allowing for efficient real-time data processing and scalable operations. Key features include independent scaling of compute and storage, low latency under 10 milliseconds, high concurrency over 10,000 queries per second, rapid launch times under a second, and a consumption-based payment model. It also offers data synchronization with lakehouse tables, an online feature store for machine learning, and is managed entirely by Databricks with built-in security features. During its Private Preview, Lakebase attracted participation from hundreds of enterprises across various sectors. It is supported by a partner network including Accenture, Deloitte, and others, and will receive further enhancements in the coming months.

Winsage

June 11, 2025

‘Classic Apple’: Why Apple is taking the slow road with AI

Apple held its annual Worldwide Developers Conference (WWDC) in Cupertino, California, where it announced updates to its software ecosystem but did not introduce major AI announcements. The company plans to open its AI software to third-party developers, allowing access to on-device language models, which could lead to innovative software solutions and enhance user privacy. New features include live real-time translation in Phone, FaceTime, and Messages, improvements to the Visual Intelligence app, AI capabilities in the Reminders app, and a generative AI-powered fitness coach in the Apple Watch's Workout app. These updates aim to integrate AI into Apple's operating systems, positioning the company competitively in the AI landscape.