Szlachetna Paczka 2025: A Weekend of Miracles and Team Tradition
For Szlachetna Paczka 2025, DS Stream and Fremint teams set laptops aside to prepare gift boxes for a family in need during the Weekend of Miracles.
Blog - Page 10
Webinar: AI-Driven Category Management & Assortment Optimization
Webinar on AI-driven category management and assortment optimization in FMCG, with DS Stream experts and lessons from work with Lorenz Polska.
Webinar: AI-Driven Data Engineering in Water Metering
Webinar on AI-driven data engineering in water metering: how Databricks and agentic AI turn metering into a predictive, self-optimizing system.
Custom AI vs Off the Shelf SaaS in Retail: How to Choose What Actually Fits Your Business
Off-the-shelf SaaS or custom AI for retail? How to decide based on data readiness, process complexity and business scale, and avoid tool sprawl.
Magdalena Okrzeja
Beyond the Hype: Why Data Engineering Needs Proof-of-Value (PoV) Instead of Proof-of-Concept (PoC)
Most AI projects stall before production. Why data engineering teams should run a business-first Proof-of-Value instead of a Proof-of-Concept to show ROI.
Andrzej Gabryel
Why 95% of AI Projects Fail in Retail – and How to Be in the Successful 5%
Learn how to join the successful 5% of retailers by prioritizing clear business outcomes and practical execution over flashy technology experiments.
Magdalena Okrzeja
Customizing AI Agents for CPG Field Sales Success
How customized AI agents support CPG field sales by turning sales data into guidance on visit planning, routes, inventory and promotions for field reps.
Magdalena Okrzeja
The Orchestration Dilemma: Declarative vs. Imperative Patterns in Modern Data Engineering
Declarative Delta Live Tables or imperative Databricks Workflows? How to choose an orchestration pattern that fits your data platform and your team.
Warsaw Game Jam 2025 Highlights
DS Stream supported Warsaw Game Jam 2025 at the Warsaw Film School. Highlights from an event full of young game developers and their new ideas.
Smarter, Faster, Stronger: The AI-Powered Operating Model for Data Engineering
An AI-powered operating model for data engineering turns noisy pipeline failures into fast, auditable recoveries, with earlier detection and safe fixes.
Andrzej Gabryel
Neural Networks vs Deep Learning: What Is the Difference?
Neural networks vs deep learning: what separates them, what each one needs in data and maintenance, and how to pick the right approach for your business.
The Great AI Showdown: Why Your Next Business Decision Between Machine Learning and Deep Learning Could Make or Break Your ROI
Discover, based on real-world experimental data, when to choose traditional Machine Learning over Deep Learning for better speed, efficiency, and ROI.