Systems | Development | Analytics | API | Testing

Addressing the challenges of user authentication in 2025

User authentication is rapidly evolving to keep pace with rising security threats, AI-driven attacks, and increasing privacy concerns. The biggest challenge for developers? Enhancing security without compromising the user experience. In this webinar, we’ll explore two powerful techniques that address this challenge.

Integrating Tools & Systems with AI Agents via MCPs | Demo

Supercharge Your AI Agents: Real-Time Integration with Your Tools via MCPs! Why limit your AI agents to static responses? With Astera AI Agent Builder’s seamless tool integration through MCPs (Model Context Protocols), your agents can interact with external systems, execute real-time actions such as updating databases, fetching contextual data from CRMs, or triggering workflows in ERP systems.

Using Renter Data in Real Estate - with Michael Broder, RCKRBX | The Innovation Blueprint

In this episode of The Innovation Blueprint Podcast, we speak with Michael Broder, CEO of RCKRBX, a real estate SaaS platform focused on capturing and analyzing tenant preferences to support better decision-making across investment, development, leasing, and management. We discuss the value of forward-looking data in real estate, the technical considerations behind collecting and interpreting that data, and how AI is used to enhance operational efficiency and forecasting.

Forecast Product Demand with BigQuery ML

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.

Prepare Sales Data for Analysis & Reporting in Minutes Using a Simple Chat-Based Interface

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AI and the Future of Finance: Decoding Earnings Calls

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.