📰 All Data and AI Weekly #229-16 Feb 2026

📰 All Data and AI Weekly #229-16 Feb 2026

( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data )

Edition: February 16, 2026 | Agentic AI, IoT Mesh, and Data Cloud Evolution

Sales Kickoff Week for Snowflake. I was in Portland heads down learning cool new stuff.

🗓️ Upcoming Events: Catch Tim Live!

• 
  March 6: LLM Days NYC - NYC Tim Speaking


• 
  March 11: MCP Conference – NYC Tim Speaking


• 
  March 12: Data for Breakfast – NYC Hands on Labs
  


• 
  May 20: Budapest Data and AI – Budapest, Hungary - Tim Virtual speaking

🛠️ Tim Spann’s Corner: IoT & Agentic Streams

Tim Spann continues to push the boundaries of where data starts and where it ends. From mesh networks to real-time vision, here is the latest:

• 
  Agentic AI Data Streams & Meshtastic: Explore how agentic AI is finding its way into off-grid, decentralized communication networks.
  


• 
  SNACKAI-CoCo-Meshtastic: A new repository focused on combining messaging protocols with AI at the edge.
  


• 
  SenseHAT Snowflake Streaming: A practical guide and codebase for streaming environmental data from Raspberry Pi SenseHATs directly into Snowflake.
  


• 
  OpenAI Guardrails: Essential tools for implementing safety and structure in your LLM-powered applications.
  


• 
  NYC Camera Stream: Real-time data processing using New York City’s public camera feeds.

❄️ Snowflake Spotlight: Cortex & Enterprise Agents

Snowflake is rapidly evolving into an "AI-first" platform. This week’s updates focus heavily on Cortex Code and the scaling of enterprise-grade agents.

🤖 AI & Agents

• 
  Scaling Enterprise Agents: A deep dive into how organizations are moving from simple chatbots to fully autonomous enterprise agents.
  


• 
  Snowflake Cortex Code: Understand why Cortex Code matters and exactly when you should deploy it for your analytics.
  


• 
  Quantitative Research with AI Functions: A developer guide on using built-in AI functions to accelerate financial and data research.

📊 Modern Data Operations

• 
  Cost Attribution Manager in Streamlit: Learn how to build a custom UI to track and manage your Snowflake spend using Cortex Code.
  


• 
  Snowflake Optima: Official documentation for the latest optimization features to keep your warehouse running lean.
  


• 
  SnowConvert AI (Feb 2026): New features to simplify the migration of legacy codebases into the Snowflake ecosystem.

💻 Developer Tools & Open Source

A curated list of repositories and guides for the modern data engineer:

• 
  Open-Source Face Recognition SDK: A high-performance SDK for integrating facial recognition into your applications.
  


• 
  Real-Time Recommendations: Building two-tower networks with Snowflake’s online feature serving.
  


• 
  Snowflake Data UI Guide: Choosing the right interface—from Snowsight to custom Streamlit apps—for every use case.
  


• 
  xleak: A security-focused tool for detecting data leaks.
  


• 
  Antigravity Awesome Skills & Voog: New open-source entries worth starring for your development workflow.

📅 Upcoming Events & Reading

• 
  Webinar: Getting More from SAP Data with Snowflake (Feb 24, 2026).
  


• 
  Article: Pliable AI & Analytics for SMBs - How small businesses are leveraging the AI wave.
  


• 
  Reading List: Snowflake Safe - A curated list of best practices for security and governance.

🍭 2026: SNACK-AI

As we look forward in 2026, we are introducing SNACK-AI. This architectural pattern is designed to power AI applications at any scale—from mobile phones and robots to massive enterprise clusters.

SNACK-AI integrates:

• 
  Snowflake Platform
  


• 
  NiFi (Apache)
  


• 
  Apache Iceberg (Apache Iceberg)
  


• 
  Cortex AI (Agents/Search/MCP)
  


• 
  Kafka (Apache Kafka)

Deep Dive into SNACK-AI:

• 
  Read: SNACK-AI: The 2026 Pattern (Medium)
  


• 
  Code: Official SNACK-AI GitHub Repository
  


• 
  Weekly Context: SNACK-AI Overview
  

Thanks

https://sessionize.com/tspann

https://github.com/timothyspann

© 2020-2026 Tim Spann https://www.youtube.com/@FLaNK-Stack