Systems | Development | Analytics | API | Testing

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

�������� �������� �������� ������ ���� ������������ ���� ������������ �� ������������������������? �������� ������������ �������� ��������, ���� ����. Prepare your sales data for analysis in just minutes using the chat-based interface. Whether your data is messy or complex, simply type your instructions in plain, natural language and watch as Astera Data Prep, powered by AI, cleans, organizes, and gets it ready for analysis. No technical expertise is required. Just a few simple words and you are ready to gain valuable insights from your data.

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.

Astera's Vision for Agentic AI: The Why Behind Astera AI Agent Builder

Curious to know what inspired the creation of the Astera AI Agent Builder – the fastest way to build, test and launch autonomous AI agents with your enterprise data? In the first episode of Round Table Series, join our AI Product Strategist Ayesha Amjad, AI Product Specialist Muhammad Hasham Qazi, and Software Architect Humza Khatri as they share the story behind the innovation. They’ll talk about the reasons that sparked the idea, the challenges they tackled, and how they’re shaping the future of AI-powered agents with Astera.

Ep 9 - Bottlenecks to Breakthroughs: How Covetrus Solved Latency with Streaming

For enterprises managing sprawling systems and frequent M&A activity, data latency isn’t just inconvenient—it’s a blocker to business value. In this episode, Joe Pardi, Senior Director of Global Data Engineering at Covetrus, explains how his team replaced fragile data pipelines with a robust real-time data streaming architecture that enables instant decisions across the entire enterprise.

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.

How I Built an AI Agent to Automate Customer Support - No Complex Coding Required

What if you could build your own customer service agent that handles real-world support queries automatically, saving time for both customers and our team? Maryam Ahmad from our PRD team did just that using Astera’s low-code and drag-and-drop interface. With Astera AI Agent Builder, Maryam created an intelligent agent designed to handle key customer service tasks for an e-commerce platform: checking order status, cancelling orders, and providing information on refund and return policies, all through a seamless conversational interface.