Systems | Development | Analytics | API | Testing

Leveraging Cortex AISQL For Multi-Modal Analytics

Snowflake's Senior Product Manager Renee Huang demonstrates how to leverage Snowflake's powerful Cortex AISQL functions for advanced analytics on unstructured and structured data. Her demonstration includes a look at how to use functions such as AI_AGG, AI_CLASSIFY, AI_COMPLETE, and AI_FILTER on your data to accelerate insights. For more information, check out this blog post.

Choreo CLI Now Supports Model Context Protocol (MCP): Conversational Development Begins

We're excited to introduce a major update to the Choreo CLI: support for the Model Context Protocol (MCP). This enhancement brings conversational AI capabilities into your development workflow, enabling you to manage your Choreo environment using natural language commands.

From Database to AI-Ready: How DreamFactory's RBAC Security Controls Future-Proof Your Data Access

Want secure, AI-ready data access? DreamFactory's Role-Based Access Control (RBAC) system simplifies managing who can access what in your databases and APIs. Why it matters: Poor data management causes 1 in 3 AI projects to fail. Breaches by insiders cost $4.99 million on average, yet only 24% of AI projects include proper security. How DreamFactory helps: Assign roles to users, control access to specific data, and limit actions (like view vs. edit) without custom code.

Tech, talent or trust: What's holding back AI adoption the most?

Tech, talent or trust: What’s holding back organizations from AI adoption the most? Along with exploring that question, in this short video, Practice Director for Data Management, Analytics & AI at Informa TechTarget’s Enterprise Strategy Group, Michael Leone, discusses AI adoption with Hitachi Vantara leaders, including: The video also explores exciting AI use cases, the data issues hindering AI and tips for measuring the success of your AI initiatives.

AI initiatives and obstacles: How to stay competitive

By failing to adopt AI and modern data strategies, companies risk falling behind. According to Informa TechTarget’s Enterprise Strategy Group (ESG), 86% of enterprise-class organizations are planning to invest at least $1 million in data and AI initiatives. To help your business keep up, in this video ESG’s Practice Director for Data Management, Analytics & AI, Michael Leone, explores how to build a trusted data foundation, the biggest data challenges faced by companies, and much more.

Introducing the Agentic Semantic Layer: A New Standard for Data Foundations

For data analysts and engineers, the journey from raw data to actionable business insights for business users is never as simple as it sounds. The semantic layer is a critical component in this process, serving as the bridge between complex data sources and the business logic required for informed decision-making. However, not all semantic layers are created equal, and the evolving landscape of AI-powered analytics demands a new approach.

AI in Agriculture - The Future of Farming

Agriculture has long been the backbone of human survival, proof of our deep connection with and dependence on nature. But as the world evolves, so do the challenges in farming. From shrinking arable land to unpredictable weather patterns, how can farmers keep up? How do we ensure there's enough food for future generations? There’s no doubt that farming has come a long way, but let’s be honest, it’s getting harder every year.