AI model Archives

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 During the Data + AI Summit, CEO Ali Ghodsi emphasized the importance of transitioning from outdated systems to modern solutions for AI.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 13, 2025

Postgres and the Lakehouse Are Becoming One System — Here’s What Comes Next

Developers are increasingly using Postgres for application needs alongside lakehouse technologies for analytics and data science. Postgres has evolved into a versatile operational database suitable for various applications, while lakehouse technologies enable organizations to manage and analyze large-scale data efficiently. There is a growing synergy between these systems, although they often operate in silos managed by different teams. An emerging architectural paradigm views Postgres and lakehouses as complementary layers within a modular framework to address both operational and analytical requirements. Historically, OLTP systems were used for transactions and OLAP systems for analysis, but this model is shifting. Scenarios such as financial applications requiring real-time risk reports and SaaS applications calculating usage metrics are becoming standard. Effective communication between product-engineering teams managing operational systems and data teams overseeing lakehouse services is essential for enhancing system resilience. A trend called operational medallion architecture incorporates bronze, silver, and gold layers for real-time and user-facing systems. The bronze layer consists of raw data, the silver layer contains cleaned data in Postgres for real-time analytics, and the gold layer features pre-aggregated data for low-latency experiences. Each layer is queryable, allowing for bidirectional data movement between S3 and Postgres. Key developments facilitating the integration of operational databases and lakehouses include the maturation of Iceberg as a flexible table format, the evolution of Postgres with support for various data types and querying capabilities, and a growing demand for composability among developers. The market is moving towards modular, open, and developer-friendly architectures that integrate operational and analytical layers. Future data infrastructure will focus on interconnected components and coherent modern data architecture that serves both operational and non-operational use cases seamlessly.

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 11, 2025

EDB Postgres® AI Unlocks Rapid GenAI App Delivery for the Enterprise with NVIDIA, at GTC Paris 2025

EnterpriseDB (EDB) has introduced an integration of its EDB Postgres AI platform with NVIDIA NIM microservices, enabling enterprises to easily create and deploy generative AI chatbots and applications with minimal coding. Research from EDB shows that only 13% of global enterprises have implemented comprehensive agentic AI applications, primarily due to fragmented infrastructure and integration challenges. EDB Postgres AI utilizes NVIDIA NeMo Retriever for processing multimodal enterprise data and supports a catalog of NVIDIA NIM microservices to enhance AI model capabilities. The platform is designed for secure and scalable development of agentic AI and operates natively within Kubernetes. EDB Postgres AI is characterized as the first open, enterprise-grade sovereign data and AI platform built on Postgres, integrating transactional, analytical, and AI workloads, with features such as security, compliance, and high availability.

AppWizard

June 9, 2025

Don’t have any AI apps? These are the 5 you need to install right now

AI is increasingly integrated into daily life, with many people preferring chatbot interactions over traditional Google searches due to the nuanced responses provided by AI. ChatGPT from OpenAI has evolved significantly, with a recent Android app update that includes image generation and an interactive audio mode, making interactions feel more conversational. Gemini from Google processes information across various Google applications, offering users control over memory retention from previous interactions, although it may have privacy concerns. Claude from Anthropic has introduced the Claude 4 models in its mobile app, enhancing its coding capabilities and including voice features for all users. DeepSeek, a Chinese AI, offers free access and low-cost options, excelling in web search and deep reasoning, with an open-source version available for private use. PocketPal is a downloadable Android app that operates independently of the cloud, allowing users to access open-source AI models, with smaller models like Qwen3 designed for older devices. The landscape of smartphone AI chatbots is evolving, with major Android manufacturers investing in enhancing device capabilities.

Winsage

June 3, 2025

Windows 11 news and updates: Sora video AI comes to Bing while USB-C changes will make all of our lives easier

Microsoft has made adjustments to Windows 11 and Windows 10 to comply with the Digital Markets Act for users in the European Economic Area, including stopping prompts to set Edge as the default browser and automatically pinning users' preferred browsers to the Taskbar. The optional update KB5058499 (OS Build 26100.4202) for Windows 11, released on May 28, 2025, improves gaming stability and includes upgrades to AI tools. OpenAI's Sora AI model is now available globally in the Bing Video Creator within the Bing mobile app. Notepad has added support for Markdown syntax. Microsoft has committed that all USB-C ports on Windows 11 will support data, charging, and display functionalities, with USB4 ports being compatible with Thunderbolt 3 and USB4 peripherals. The release date for Windows 11 version 25H2 is anticipated between September and October 2025.

AppWizard

May 30, 2025

Telegram, Elon Musk’s xAI partner to distribute Grok to messaging app’s users

Pavel Durov, CEO of Telegram, announced a partnership with Elon Musk's xAI to integrate the AI model Grok into Telegram, benefiting its over one billion users. The one-year agreement will provide Telegram with significant financial support, including 0 million in cash and equity from xAI, as well as 50% of revenue from xAI subscriptions sold through Telegram. Grok 3, launched in February, is claimed by Musk to outperform other leading AI models in various fields.

Tech Optimizer

May 24, 2025

Connect Amazon Bedrock Agents with Amazon Aurora PostgreSQL using Amazon RDS Data API

Generative AI applications are being integrated with relational databases, allowing organizations to utilize structured data for training AI models. This integration involves using the RDS Data API with Amazon Aurora PostgreSQL-Compatible Edition and Amazon Bedrock for AI model access and automation. The solution enables natural language queries to be converted into SQL statements, executed against the database, and returns results in a user-friendly format. The architecture includes several steps: invoking the Amazon Bedrock agent with natural language input, generating SQL queries using large language models (LLMs), executing those queries via the Data API, and returning formatted results. Security measures are in place to restrict operations to read-only, preventing modifications that could compromise data integrity. To implement this solution, prerequisites include deploying an Aurora PostgreSQL cluster using AWS CDK and setting up the necessary Lambda functions and IAM roles. The agent is designed to convert natural language prompts into SQL queries and execute them securely. Testing can be conducted through the Amazon Bedrock console or the InvokeAgent API, with options for tracing the agent's steps. Key considerations for this integration include limiting it to read-only workloads, implementing parameter validation to prevent SQL injection, and ensuring comprehensive logging and auditing. For multi-tenant applications, appropriate isolation controls should be established. To avoid future charges, all resources created through CDK should be deleted after use.

AppWizard

May 22, 2025

Oppo says its apps on the Reno 14 series will see full Gemini integration

OPPO has expanded its collaboration with Google Gemini to enhance user experience for the Reno 14 series by creating seamless "multi-app" journeys. This partnership will allow Gemini to interact with various OPPO applications, including Calendar, Notes, and the Clock app, simplifying task completion. The integration of Gemini into OPPO's app ecosystem coincides with the introduction of ColorOS 15 (Android 15) and follows the AI enhancements seen in the Reno 11 series. OPPO aims to provide monthly AI updates for its devices and emphasizes the importance of AI in understanding complex user inputs. The collaboration also involves efforts with MediaTek and utilizes Gemini 1.5 Pro and Google's Flash model for improved communication between OPPO's native applications.

Winsage

May 22, 2025

Can Microsoft Turn PC And Cloud Dominance Into AI Supremacy?

Microsoft is advancing an "agentic" future in enterprise computing by leveraging its strengths in Windows PCs and Azure cloud. At Build 2025, executives presented a vision of an "open agentic web" where intelligent software agents operate across devices and applications. Currently, 15 million developers use GitHub Copilot, and 90% of Fortune 500 firms have developed AI agents using Microsoft tools. GitHub Copilot is evolving into a proactive coding agent capable of performing complex development tasks autonomously. Azure AI Foundry is introduced as a unified environment for AI applications, hosting over 1,900 AI models and enabling enterprises to select optimal models for their needs. Windows is transforming into an AI platform with features like AI-driven shortcuts and local AI model access. The Model Context Protocol (MCP) and NLWeb are central to Microsoft's strategy, promoting openness and interoperability among AI agents. Copilot Tuning allows organizations to customize AI agents for specific business contexts, while Copilot Studio supports multi-agent orchestration. Microsoft's integrated AI approach contrasts with competitors like Google and Amazon, positioning it as a leader in providing comprehensive AI solutions.