Systems | Development | Analytics | API | Testing

Google Data Management: A Data Integration Perspective

Managing and integrating data efficiently is a critical requirement for businesses dealing with multi-source, real-time, and large-scale datasets. Google Data Management provides a scalable, cloud-native ecosystem designed for seamless data integration, transformation, and governance. This blog explores Google’s data integration solutions, including ETL/ELT pipelines, real-time data streaming, and AI-powered automation for enterprise-grade data workflows.

Agentic AI Needs an API Backbone: Cultivating Discipline & Governance for Scalable Success

For organizations seeking to leverage agentic AI, the journey begins with a steadfast commitment to discipline and governance. This talk underscores that the true foundation of success in agentic AI adoption is a culture that values structured API capabilities and a rigorous approach to digital integration. By fostering disciplined practices and robust governance frameworks, businesses can establish the resilient API foundations necessary for automating complex processes and scaling AI-driven initiatives.

Get the speed you need with our new Linux portfolio

Mobile app developers are obsessed with speed for one simple reason - their customers are too! We expect a lot from the apps we use. They've got to load super fast, always stay up to date, and offer a steady stream of valuable features. For developers, this means relentless pressure to reduce build times and drive efficiency to stay competitive.

10 Client Reporting Tools I Ditched in 2025 (and the ONE I Kept)

“What am I paying you for, again?” — It’s the question no marketer wants to hear. Consistent, insightful reporting is crucial for client satisfaction, but let’s face it: juggling spreadsheets and Google Slides isn’t cutting it anymore. In 2025, clients expect professional, data-driven presentations. But with countless expensive reporting tools flooding the market, where should you invest your hard-earned money? This year, I put several popular options to the test.

Automated Cost Management: Leveraging AI for Snowflake Optimization

Accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-powered predictive tools. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to manage Snowflake costs with AI.

What is Real Estate Data Analytics? - A Complete Beginner's Guide

Real estate data analytics refers to specific software solutions that help real estate and property management businesses gather operational data from various sources into one user interface, analyze key metrics to gain insights into their markets, such as property trends, demographics, and economic indicators, and make data-led decisions regarding buying, selling, renting, or managing properties.

Beyond the Hype: Gen AI Trends and Scaling Strategies for 2025 - MLOps Live #35 with Gartner

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals. They explored key questions that every tech leader should be asking themselves.