Systems | Development | Analytics | API | Testing

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.

Learn about all the new NiFi 2 features in Cloudera Data Flow 2.10, including NiFi 2 General Availability across Flow Drafts, Deployments and Test Sessions and our brand new NiFi 1 to NiFi 2 Migration Experience (Technical Preview)!

Predictive analytics helps businesses move from guesswork to informed decisions—especially when it comes to inventory. Using sales data already stored in BigQuery, this demo walks through how to forecast future demand using BigQuery ML. With just a few lines of SQL, viewers see how to transform raw data, train an ARIMA model, and generate confident sales predictions without needing to export data or manage additional machine learning infrastructure.

In this episode of The AI Forecast, host Paul Muller sits down with Vineet Jain, CEO and co-founder of Egnyte, for a conversation on one of the biggest enterprise challenges in AI: protecting corporate data while enabling innovation.

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.