New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content.
Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to production using low-code and autogeneration tools. Let’s dive in.
End-of-life dates loom for MySQL 8.0, PostgreSQL 14, Redis 7.2 and 7.4, and MongoDB 6.0 in the coming months. It’s time to plan ahead.
If we want AI-assisted development to actually scale, we need to confront the barriers to deploying AI-generated code safely and reliably.
Voice AI agents have compelling enterprise use cases, but integrating them with existing telephony systems poses many challenges. Follow these tips.
Activity on the Reddit-style social network for OpenClaw agents raises serious cybersecurity and privacy concerns.
The inefficiencies exposed by AI workloads point to a fundamental shift in how storage and compute must interact.
Mobile platforms operate under fundamentally different trust assumptions than we relied on for web security. Your mobile pipeline could be missing these threats.
Five essential strategies to reduce costs, avoid licensing risk, simplify operations, and future-proof your data infrastructure for the AI era.
Bringing AI agents and multi-modal analysis to SAST dramatically reduces the false positives that plague traditional SAST and rules-based SAST tools.
Cloud-native migration tools, infrastructure as code, and governance solutions have all failed to deliver the infrastructure portability we really need.
Cloud Cloning captures a snapshot of the source cloud infrastructure and maps that infrastructure onto the target cloud’s services and configuration model. Here’s how it works.
For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.
IT teams are stretched to their limit. The solution lies in rethinking who gets to build, who gets to automate, and how work actually gets done.
Engineers who love building, mentoring, and solving complex problems don’t need to manage people to keep growing. You can lead through influence instead.
Vibe coding is fast, useful, and here to stay. The freedom it brings must be matched with awareness that security is necessary and cannot be assumed.
AI can read and write code, but context and architecture still belong to humans.
The ongoing integration of AI into engineering workflows will drive both engineering efficiencies and business advantages.
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices.
While PostgreSQL has thrived in recent years, MySQL has languished. MySQL backers are coming together to change that.
Sure, let your AI agents propose changes to image definitions, playbooks, or other artifacts. But never let them loose on production systems.