Systems | Development | Analytics | API | Testing

Welcome to Episode 5 of The Innovation Blueprint! In The Innovation Blueprint podcast, hosted by Yurii Rudakov, Partnership Manager at ORIL, we explore how technology is transforming industries. From PropTech and AI to the latest emerging tech trends, we bring you insights that are reshaping the future. This Episode’s Guest: Mike Todasco.

Discover how Confluent’s Data Streaming Platform and Microsoft Azure are revolutionizing the retail industry. In this video, learn how real-time data streaming and AI-powered insights can: Explore how Confluent and Azure’s seamless integration enables retailers to break down data silos, streamline operations, and accelerate innovation with scalable, enterprise-ready solutions. Whether you’re looking to modernize your retail infrastructure, enhance customer engagement, or drive operational efficiency, this video is your guide to leveraging AI and real-time data streaming.

How do you bring real-time data to AI and machine learning models? Kai Waehner, Field CTO at Confluent, explains how to use Flink for real-time model inference to power use cases for generative AI, real-time analytics, predictive maintenance, and more.

Services are the core component of service meshes. But what does it mean to send traffic from a workload to a service? What is the identity of a service? How does configuration apply to services? How do services interact when your cluster is multi-zone? Kong Mesh recently accomplished a major overhaul of its service to make them more intuitive and easier to manage that we want to share.

This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.

How often have you sat in meetings trying to answer seemingly basic questions about your business, only to realize you don't have the data to answer them? Questions like: How many touches does it typically take to close a deal? Which lead sources are actually working? Why are some reps consistently outperforming others? If you've struggled to answer questions like these, you're not alone. I recently sat down with Noah Burkholz, Director of RevOps at demandDrive, to learn how they tackled this exact problem.

Have large language models hit their ceiling? Training GPT-5 might cost billions—for what? Marginal improvements? The next frontier is looking like autonomous models, RAG systems, and agentic AI are stealing the spotlight While LLMs may be nearing their peak, innovation is moving in new directions. Learn more in the latest episode of Test Case Scenario.

Learn how to migrate effortlessly from Cypress to Keploy for API testing in this step-by-step guide. Keploy is an open-source testing platform that simplifies API testing by enabling zero-code test generation and mocking, saving time and effort.

Welcome to the very first episode of! In this series, our Co-founder & COO, Rajesh Kumar, sits down for honest conversations with the people shaping Antino's journey. This episode features Naman Srivastava, our VP of Technology, as they discuss something we’re super passionate about, AI at Antino. They talk about how we’re integrating AI into our day-to-day work, how the team is adapting, and why embracing AI is so important for the future.

Depending on who you ask, ChatGPT is either a game-changer or just an incremental upgrade. On Test Case Scenario, we unpack how perceptions of ChatGPT have evolved and why it matters. Early adopters are immersed in its evolution and may overlook how far it’s come. Occasional users are blown away by improvements that feel like a leap forward. Here’s the real question, though. Are we celebrating meaningful progress or are we just too dazzled by small wins to demand true innovation?