Organizations are increasingly adopting EnterpriseDB's EDB Postgres AI platform due to a rising demand for enhanced control over data in AI systems, particularly in sectors like banking, insurance, retail, and trading. Research from MIT Technology Review Insights indicates that prioritizing AI and data sovereignty significantly predicts success in AI initiatives, with such organizations achieving five times the return on investment.
In South Korea, the Industrial Bank of Korea migrated 15 core systems to EDB Postgres AI, citing significant reductions in licensing costs compared to Oracle and improved scalability for future AI services. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB, overcoming challenges related to legacy database licensing and emphasizing the importance of operational stability.
Beyond finance, companies like MNTN, Euronext FX, and Kyobo Book Centre have adopted the platform to reduce vendor reliance, manage data workloads, and enhance compliance control. MNTN uses EDB for large-scale analytical processing, Euronext FX has implemented it across four data centers, and Kyobo Book Centre migrated from a costly data warehouse to the EDB solution.
A common trend among these deployments is the use of a single Postgres-based platform for transactional processing, analytics, and AI tasks, reflecting an industry initiative to simplify operations and reduce costs. Hensley noted the critical convergence of AI systems with operational data, as AI agents operate against live data in high-volume workflows, highlighting the drawbacks of using separate platforms for transactions and analytics. EnterpriseDB has also received industry accolades for its data management and contributions to the open-source community, reinforcing its market position.
Microsoft has made its local Language Model APIs for Windows 11 accessible on non-Copilot+ PCs, requiring an NVIDIA RTX 30 series GPU with at least 6GB of VRAM. Copilot+ PCs, which debuted on June 18, 2024, require 16GB of RAM, an SSD, and a minimum of 40 TOPS NPU. The new APIs allow broader access to AI functionalities, including AI-powered text formatting, summarization, text rewriting, text-to-table conversion, and general prompt generation, through a compact language model called "Phi Silica." Users with compatible NVIDIA GPUs can utilize these features locally, enhancing privacy compared to cloud-based models. However, some features remain exclusive to devices with NPU chips.
PostgreSQL has become the most utilized database for developers for two consecutive years as of 2026, while SQL Server has introduced native AI capabilities and vector search functionalities in its latest release. PostgreSQL is favored for new projects due to its permissive licensing, cross-platform operation, and extensive ecosystem of extensions, whereas SQL Server is preferred by organizations already using Microsoft products for its robust tooling and enterprise support.
As of June 2026, SQL Server ranks third in the DB-Engines popularity ranking with a score of 698, while PostgreSQL ranks fourth with a score of 688. Developer adoption trends show that 49% of respondents in the Stack Overflow 2024 Developer Survey use PostgreSQL, compared to 27% for SQL Server.
The latest stable version of PostgreSQL is 18.4, released on May 14, 2026, while SQL Server 2025 (version 17.x) became generally available on November 18, 2025. PostgreSQL is free under a permissive license, while SQL Server's Enterprise Edition can cost upwards of ,123 per two-core pack, with an eight-core minimum.
PostgreSQL supports various operating systems, including Linux, Windows, macOS, and BSD, while SQL Server operates on Windows and Linux. PostgreSQL uses PL/pgSQL as its primary procedural language, allowing for multiple procedural languages, whereas SQL Server uses T-SQL. PostgreSQL's JSONB type offers rich indexing, while SQL Server added native JSON support in its 2025 release.
Both databases are capable of handling high transaction volumes, but PostgreSQL excels in read-heavy scenarios due to its multi-version concurrency control, while SQL Server's columnstore indexes provide advantages for analytical workloads. PostgreSQL supports tables up to 32 TB, while SQL Server can handle a maximum database size of 524 PB.
SQL Server's high availability technology includes Always On Availability Groups, while PostgreSQL offers built-in streaming and logical replication. The security features of both databases meet enterprise standards, with PostgreSQL providing a transparent patching process and SQL Server integrating with Microsoft tools.
Real-world usage examples include Stack Overflow using SQL Server, while Instagram and Reddit utilize PostgreSQL. Developer sentiment increasingly favors PostgreSQL for new projects, emphasizing flexibility and open-source solutions.
For new startups or greenfield projects, PostgreSQL is recommended due to its zero license cost and compatibility. Existing Microsoft enterprises are advised to stick with SQL Server for its integration benefits. Migration from SQL Server to PostgreSQL is becoming common, with a structured approach required for successful transitions.
Microsoft has introduced the Surface Laptop Ultra and the Surface RTX Spark Dev Box, specifically designed for software developers and technical professionals. The Surface RTX Spark Dev Box features the NVIDIA RTX Spark superchip, providing up to 1 petaflop of AI compute and 128 GB of unified memory, enabling local execution of complex AI models. It comes pre-configured with Windows 11 Pro and essential development tools, ensuring a focused environment for developers. The device incorporates security features aligned with Microsoft’s Zero Trust principles, including secured-core PC architecture and BitLocker encryption. It will be available later this year in the U.S. exclusively through Microsoft.com.
Many individuals are experiencing AI fatigue, with concerns about uninspired content, job displacement, and environmental issues related to data centers. The term ‘AI slop’ reflects growing skepticism towards AI-generated media. However, the author had a positive experience with AI-generated podcasts using NotebookLM, particularly during a visit to South Korea. The podcast 'Understanding Korea, One Story at a Time' by Jiwon Yoon featured AI-generated voices, which initially caused conflict for the author but ultimately impressed them due to the accuracy derived from Jiwon’s expert notes. While the author prefers human hosts, they acknowledge that NotebookLM can outperform subpar traditional podcasts and help academics share their insights in accessible formats. NotebookLM allows for quick conversion of academic essays into podcasts, facilitating the dissemination of knowledge that might otherwise remain obscure.
Infinity Ward is set to release Modern Warfare 4, its first entry in the franchise in four years. The game will feature the return of the DMZ extraction mode and is set in South Korea. It introduces apex attachments that fundamentally alter a gun's identity, with unique attachments for each weapon unlocking at full level. Movement mechanics have been revamped for a more fluid experience, allowing rapid mantling and smoother transitions. The initial maps follow a classic three-lane structure but lack innovation. The Gunfight mode returns, now expanded to 10v10 with dynamic maps. Quality-of-life enhancements include improved FOV, depth of field adjustments, refined muzzle smoke/flash effects, and improved hipfire mechanics. Loadouts have been simplified to five attachments per weapon and a standard three-perk system, allowing for more personalized gaming experiences.
Google has enhanced the Android checkout experience by integrating stored credentials from Google Wallet, allowing developers to offer a seamless payment process with the new Express checkout feature using Google Pay for Android native applications. Developers can implement dynamic callbacks in their applications for real-time updates on shipping options, taxes, and total prices during transactions, improving the checkout process without closing the payment interface. These dynamic callbacks, previously available on the web, are now fully supported in Android applications, streamlining the checkout funnel. This innovation reduces friction in payments, facilitates a one-click experience, and enhances accuracy and authorization feedback, ultimately driving higher conversion rates. Recent reports indicate that mobile wallets, including Google Pay, are becoming mainstream, with 31% of consumers using a mobile wallet in-store within the past week, and the number of users reporting Google Pay usage doubling year over year. Additionally, 84% of shoppers prioritize one-click options, and 80% utilize stored credentials, highlighting the importance of these features in reducing cart abandonment and enhancing conversion rates.
Mobile applications are increasingly recognized as powerful lead generation tools for businesses, particularly on the Android platform, which has a significant global market share. Unlike websites, apps encourage repeat engagement through features like notifications and personalized content, enhancing user retention and conversion opportunities. Effective lead generation apps address genuine user needs, providing utility that fosters engagement before asking for user information.
Building trust is crucial for lead generation, and businesses should allow users to experience value before requesting personal details. A progressive engagement strategy can effectively draw users in, with free tools leading to more personalized offers later. Personalization enhances user experience by tailoring content and offers based on user behavior, which improves engagement and lead quality.
Designing an app with a focus on conversion paths is essential. Clear onboarding, intuitive navigation, and contextual calls to action can significantly impact user decisions. Social proof, such as reviews and testimonials, can bolster trust and encourage users to take action.
Successful apps integrate with broader sales and marketing systems, enabling intelligent responses to user actions and ensuring timely follow-ups. Monitoring analytics helps businesses refine their strategies and improve lead capture.
While acquisition is important, long-term retention is often more beneficial, as engaged users become warmer leads and advocates for the brand. Retention strategies that maintain relevance, such as new features and exclusive offers, help solidify the app's role as a valuable business asset.
In the first quarter of 2026, Meta's Family of Apps, including Facebook Messenger, reported a revenue of USD 55.9 billion. Messenger's in-chat payment services facilitated nearly USD 6.8 billion in transactions across 47 countries during the same quarter. The platform had approximately 1.12 billion monthly active users as of Q1 2026, with the largest demographic segment being individuals aged 25-34. By October 2025, the Philippines and Vietnam achieved the highest global user reach for Messenger, at 83.3% and 78.1%, respectively. Southeast Asia accounted for 212 million Messenger users by the end of 2025, representing 22.4% of the global total. Users typically spend nearly 13 minutes per session on the app, with 42.6% accessing it daily. Messenger messages have an 80% open rate within the first hour of delivery. Over 60 million businesses utilize Messenger for various purposes, and the platform supports more than 500,000 active chatbots, with 41% of these employing generative AI. Meta matched 100% of the electricity used across Facebook Messenger with clean, renewable energy in 2026.
In Q1 2026, Meta’s Family of Apps generated USD 55.9 billion in revenue. Messenger's business messaging tools contributed USD 3.2 billion to non-advertising revenue in the first half of 2026. In-chat payment services processed nearly USD 6.8 billion in transactions in 2026. Messenger had approximately 1.12 billion monthly active users, equating to about 12% of the global population. As of October 2025, Messenger had nearly 942 million users globally. Users aged 25-34 comprised nearly 32% of Messenger's user base in 2026. By October 2025, 55.8% of Messenger users were men, while 43.5% were women. The highest user reach for Messenger was in the Philippines at 83.3% and in Vietnam at 78.1% as of October 2025. Southeast Asia had 212 million Messenger users by the end of 2025, making up 22.4% of the global total. Users spend about 198-201 minutes per month on the app and open it approximately 183.9 times each month. Each session lasts about 1 minute and 6 seconds. About 42.6% of users open the app daily. Messenger ads reached nearly 947 million users worldwide in 2026.
![Epic Games Store 2026: $400M Record, 317M Users [AU]](https://newapp.site/wp-content/uploads/2026/06/epic-games-store-2026-400m-record-317m-users-au-768x439.webp)
