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SwiftData Tutorial: Swift Data Storage for iOS Apps

Since its debut in June 2023, SwiftData has fundamentally changed how Apple developers approach persistence. Devs the world over love it for its versatility, its declarative ease and its powerful querying system. But if you’re new, SwiftData can take some getting used to. Failures can feel less transparent and relationships can play out differently to how you might expect. So in this tutorial we’ll show you how SwiftData works and how to.

Oracle MCP Server: Connect Oracle Database to AI Agents Safely

Last updated: May 2026 An Oracle MCP server is a service that exposes Oracle Database data as tools an AI agent can call through the Model Context Protocol (MCP). Rather than handing an LLM direct credentials to a database holding ERP, financial, or healthcare records, you put an MCP server between the agent and Oracle.

Snowflake MCP Server: Conversational Analytics with AI Agents

Last updated: May 2026 A Snowflake MCP server is a service that exposes Snowflake warehouses as tools an AI agent can call through the Model Context Protocol (MCP). It sits between AI clients like Claude or ChatGPT and your Snowflake data, translating discoverable tool calls into governed SQL — with row access policies, dynamic data masking, query budgets, and audit logging applied automatically.

Think Big: Inside the Hakkoda/IBM Snowflake Partnership

Ryan Tucker, CRO & Co-Founder of Hakodaa (now an IBM company), shares how their True Blue Snowflake partnership since 2021 drives data transformation and AI value with vertical expertise. He highlights customer wins including Cortex AI-powered sentiment analysis for a UK wealth manager and Snowflake Intelligence for retail executive reporting, and discusses how the IBM acquisition amplifies their Snowflake-specialized DNA with global reach.

Is This a Job for AI? 3 Criteria to Evaluate Your Use Case

It's easy to get caught up in the AI hype, but excitement can stop us from seeing the practical steps needed to make AI truly work. At Appian, we recognize that AI is at its most powerful within a process. Before you get to embedding AI in process, however, you must determine if AI is what you need.

What It Takes to Make Data Ready for AI Systems

“Garbage in, garbage out.” We are not the ones who said this, George Fuechsel did. But when we are talking about AI today, it is hard not to repeat it. We spend a lot of time discussing what AI can do, the outputs, the predictions, the impact it can create. Much less attention goes to what is actually going into these systems.

7 Challenges Delivering Secure Aerospace Software in the Age of AI (with Solutions)

The challenge of any aerospace company is to deliver new capabilities without compromising safety, reliability, or precision. At our current juncture, legacy technology runs into conflict with modern tool stacks. Artificial intelligence (AI) creates fissures in compliance and auditability, and innovation and productivity gains come at a cost of greater complexity. Despite these seismic shifts, the central question remains the same.

Lenses VS Code Plugin - multi-Kafka DevX & governance within the IDE

Engineering is in the middle of an almighty shift. Thanks to AI code-generation solutions, Engineers are being asked to take on a different and wider set of responsibilities in order to be more productive. It’s what’s increasingly being coined as Agentic Engineering - using AI agents to accelerate engineering & operations work while maintaining human oversight, quality and rigour.