Systems | Development | Analytics | API | Testing

What is Generative AI? - The Future of Embedded Analytics in 2025

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.

Invoice data extraction 101: How to extract data from invoices in 2025

Businesses send and receive several invoices and payment receipts in digital formats, such as scanned PDFs, text documents, or Excel files. While digital formats have allowed workplaces to transition to a paperless environment, they have introduced a new challenge for business analysts: extracting the data from invoices and using it to draw relevant insights.

Automate Medical Report Processing with Astera in 4 Simple Steps

Processing medical reports from various labs, clinics, and hospitals can be smooth and efficient with Astera. No matter the format or source, Astera simplifies every step of the process. Automatically ingest reports, extract key data fields like patient details, test results, and diagnoses with precision and deliver clean, ready-to-use data straight to your EMR systems, databases, or Excel. With Astera, your team can save time, reduce manual effort, and focus on delivering faster, more accurate patient care.

Revolutionizing Enterprise AI: ClearML and AMD Collaborate to Drive Innovation at Scale

In a significant stride toward transforming AI infrastructure, ClearML has recently announced a collaboration with AMD. By integrating with AMD’s powerful hardware and open-source ROCm software with ClearML’s silicon-agnostic, end-to-end platform, we’re empowering IT teams and AI builders to innovate with ease across diverse infrastructures and integrate GPUs from multiple vendors.

Generative AI Meets Data Streaming (Part III) - Scaling AI in Real Time: Data Streaming and Event-Driven Architecture

In this final part of our blog series, we bring everything together to unlock the full potential of AI with real-time data streaming and event-driven architecture (EDA). In Part I, we explored how data fuels AI, laying the foundation for understanding AI’s reliance on fresh, relevant information.

Generative AI Meets Data Streaming (Part II) - Enhancing Generative AI: Adding Context with RAG and VectorDBs

In Part I of this blog series, we laid the foundation for understanding how data fuels AI and why having the right data at the right time is essential for success. We explored the basics of AI, including its reliance on structured and unstructured data, and how streaming data can help unlock its full potential.

A Comprehensive Guide to Integrating Product Analytics With Other Data Sources and Systems

In today's data-driven world, product analytics is crucial in understanding user behavior, improving product features, and driving business growth. However, product analytics alone may not provide a complete picture of user interactions and business performance. Integrating product analytics with other data sources and systems is essential to gain deeper insights and make more informed decisions.

Talend vs Informatica- Key Differences to Evaluate

In the realm of data integration and ETL (Extract, Transform, Load) processes, selecting the right tool is crucial for mid-market companies aiming to streamline their data workflows. Two prominent players in this space are Talend and Informatica. From my hands-on experience in data engineering, this comprehensive comparison will delve into the features, strengths, and considerations of both platforms to assist data analysts in making informed decisions.

Google Sheets to BigQuery Data Integration Guide

Transferring data from Google Sheets to BigQuery is a common task for data analysts in mid-market companies. This process enables efficient data analysis and reporting by leveraging BigQuery's powerful querying capabilities. Based on my hands-on experience in the ETL field, here's a comprehensive guide to connect Google Sheets to BigQuery effectively.