Systems | Development | Analytics | API | Testing

Choosing The Right LLM: Why Flexibility Is Key

In this Cortex AI roundtable, Snowflake's Arun Agarwal, Yusuf Ozuysal, and James Cha-Earley highlight why AI model flexibility is crucial for real-world applications. Recognizing that no single large language model excels at everything — coding, reasoning, extraction, or conversation — Snowflake Cortex AI brings the strengths of different LLMs together by integrating leading LLMs like OpenAI, Mistral, Anthropic, and Meta into one secure platform.

Yellowfin 9.15 Release Highlights: AI-Powered NLQ, Usability Enhancements & More

Yellowfin 9.15 is a significant version release that introduces a major update to our Yellowfin Guided NLQ feature in the form of AI-enabled Natural Language Query (AI NLQ), as well as a host of general product enhancements, fixes and security updates. In this blog, we will cover what AI NLQ brings to your embedded analytics deployment, as well some of the other highlights arriving in the Yellowfin 9.15 version release. For the full technical list of updates, please visit our release notes page.

What is AI NLQ? Understanding AI-Powered Natural Language Query

The rise of natural language query (NLQ) technology in modern business intelligence (BI) and analytics platforms is empowering many companies to streamline data exploration and analysis, and democratize access to insights for more people - not just data experts. But like any technology, the ongoing challenge is to help stakeholders and customers to see the value in using it.

Automate data pipelines with BigQuery's new data engineering agent

For years, data teams have relied on the BigQuery platform to power their analytics and unlock critical business insights. But building, managing, and troubleshooting the data pipelines that feed those insights can be a complex, time-consuming process, requiring specialized expertise and a lot of manual effort. Today, we're excited to announce our vision, a major step forward in simplifying and accelerating data engineering with BigQuery data engineering agent.

EP 20 | The Path to Safe AI - Education with Peter Norvig

In this episode of The AI Forecast, host Paul Muller speaks with Peter Norvig, an education fellow at Stanford and the co-author of Artificial Intelligence: A Modern Approach, the leading textbook for AI education. Peter explores the critical role of accessible, up-to-date AI education in building skilled practitioners, guiding policy, and fostering public understanding. Listen in as they explore concepts like "AI literacy" and unpack why continuous learning is essential to keep pace with technological change—and how it can help us build a more informed, ethical, and responsible AI future.

How Cloudera Helps Enterprises Meet Their ESG Goals

Across the globe, organizations are united by one shared priority: sustainability. While committing to environmental, social, and governance (ESG) initiatives is simply the right thing to do to preserve our planet for future generations, businesses face additional pressure to prioritize sustainability via regulations, expectations from investors, and consumer preferences. Since 2019, thousands of companies have committed to achieving net-zero emissions.

Ensuring Today Leads to a Sustainable Tomorrow

Earth Day gives us all the opportunity to raise awareness, reflect and take action to support a sustainable future. The day, which offers so many ways to get involved, means many things to different people. Fortunately, in the data infrastructure business, there are many areas where we can make improvements to support resilience, efficiency and optimization. At Hitachi Vantara, we’re committed to the principles of sustainability and responsible business practices.