In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Dmitry Slabko, Software Engineer at EPAM Systems to share his experiences.

Build your own generative AI chatbot! This post is a continuation of our earlier blog post, “Assembling a RAG architecture using Fivetran.”

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race.

In this age of AI, the demand for real-time data integration is greater than ever. For many, these data pipelines should no longer be configured and deployed by centralized teams, but distributed, so that each owner creates their flows independently. But how to simplify this, whilst practicing good software and data governance? We are introducing Lenses 5.5.

The path to automation opens a world of possibilities. It’s an opportunity for professional growth, skill enhancement, and a chance to increase your impact on your team and projects significantly. As a QA professional, you possess a unique set of skills and insights that are immensely valuable in the sector of automation. This transition is not merely a change in day-to-day tasks but a promising venture into a space brimming with innovation.

Late last month, innovators from across the telecommunications spectrum — and all the industries that rely on connectivity to succeed — gathered at Mobile World Congress Barcelona (MWC), the biggest telecom conference of the year.