Systems | Development | Analytics | API | Testing

What's New: Conversational Applications And NLP With Cortex AI

Get a comprehensive overview of all the new features and services in Cortex AI that enable data and engineering teams to operationalize natural language processing pipelines and chat with your data applications.This BUILD 2024 session, led by the Cortex AI Product Managers, covers the latest LLMs, search, and text-to-SQL enhancements.

What's New: Maximizing The Benefits Of The Snowflake Native App Framework

This BUILD 2024 session dives into the key capabilities of the Snowflake Native App Framework. Discover the most efficient way to find, procure, and use SaaS applications through Snowflake’s expanding ecosystem of Snowflake Native Apps, and see how these apps extend Snowflake’s capabilities with graph databases, generative AI, industry-specific models, and more.

Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI—a strategy that prioritizes data quality over model complexity.

Top 3 Data and Analytics Trends to Prepare for in 2025

2025 is poised to be another year of significant advancements in business intelligence (BI) and analytics. Building on the momentum of 2024, which saw a surge in self-service BI adoption, our attention turns to newer, sophisticated artificial intelligence (AI) solutions. As the data landscape evolves, it’s important to keep agile and adapt to emerging technologies to stay competitive and maximize the value of your analytics investments.

Rightsizing Your Data Infrastructure: Optimizing Snowflake Cluster and Workspace Configurations

Join us for another enlightening session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we focus on the critical aspect of rightsizing your Snowflake infrastructure for optimal performance and cost-efficiency. Achieving the right balance between performance and cost is paramount. However, a striking 80% of data management experts grapple with precise cost forecasting and management (Forrester). The primary culprits? Insufficient granular visibility, data silos, and a lack of AI-driven predictive tools.

EP 1: Exploring the Dark Ages of Data with R "Ray" Wang

Companies have access to more data than ever before – according to IDC, worldwide data will grow 61% by 2025. However, when it comes to adopting AI, there is a difference between companies who merely have internal data and those who have precise, accurate data. The first step to delivering trusted AI is having the right type of data. R "Ray" Wang, principal analyst and founder of Constellation Research, joins The AI Forecast to discuss the value of precision data as we enter what he calls “the dark ages of data”.

What's New: Supercharge Users With The Snowflake Horizon Catalog

To accelerate development, organizations need to supercharge more users to immediately discover and collaborate on relevant data, apps, and models. At the same time, organizations must ensure the platform they work on is secure and that the right people have the right access. Protecting sensitive and/or Personally Identifiable Information (PII) is critical. The Snowflake Horizon Catalog provides built-in governance and discovery for the AI Data Cloud to make all of this easy.