Systems | Development | Analytics | API | Testing

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Nick Winfrey, Vice President of Data Science and Data Strategy at The Walt Disney Company. They explore Disney's extensive use of AI, automation, and data science to optimize advertising and enhance fan experiences. The conversation also delves into the importance of diversity in data teams, the crucial role of AI and ML in media and entertainment, and how Disney leverages audience behavior and loyalty across different platforms.

Learn about recent additions to the Snowflake Horizons catalog as well as new resources for updating your data skills in this month's edition of the Snow Report. You'll also find information on Summit 2025, Snowflake's premiere annual conference, as well as links to podcasts, news announcements, and more.

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Teresa Tung, Global Data Capabilities Lead at Accenture. They discuss how enterprises can accelerate and broaden the application of data to attain more business value through agentic AI, the pivotal role of proprietary data as a competitive advantage, and the need for data practitioners to adapt to new responsibilities involving data quality and AI agent interaction.

Senior Software Engineer Khushboo Bhaitia takes you behind the scenes of Snowflake’s coding interviews, breaking down what to expect and how to succeed. In this video, Khushboo shares practical strategies, gives insider tips, and walks through a mock scenario to help you feel more confident and prepared. Get ready to COAST through the interview process, as Khushboo helps crack the code to success in Snowflake’s coding interviews.

Principal Software Engineer Polita Paulus is no stranger to Snowflake’s interview process. In this video, she offers a behind-the-scenes look at how to approach Snowflake's system design interviews with confidence and clarity. Drawing from her own experience, Polita shares practical strategies, insider tips, and a clear breakdown of what interviewers are really looking for. You’ll gain a better understanding of how to think through complex design challenges, communicate your ideas effectively, and showcase your technical strengths.

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.

Get insights from your unstructured data in minutes without wrestling with pipelines or infrastructure. Using simple SQL, enterprises can translate multi-language text, understand and extract sentiment from reviews, classify key themes, and summarize millions of records faster than ever. With built-in governance, enterprise-grade security, and production scalability, you can trust the speed and reliability of your intelligence. Join Snowflake’s Arun Agarwal, Renee Huang, and Vino Duraisamy to see how Snowflake Cortex AI makes this easy.

Find the full podcast interview here: https://youtu.be/c95B1arxZlU

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In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Sridhar Ramaswamy, CEO of Snowflake. They discuss the impactful integration of AI with enterprise data, Snowflake's efforts to demystify AI for its customers, and future prospects for agentic AI and its potential to transform business processes.