Operations | Monitoring | ITSM | DevOps | Cloud

How Smart Drone Technology Is Transforming Aerial Operations

The rapid advancement of artificial intelligence (AI) has significantly enhanced the potential of drone technology, enabling smarter and more versatile aerial operations across various industries. Today's drones can perform highly complex tasks-from precision agriculture to streamlined logistics-making them indispensable tools for modern enterprises. A significant enabler in this space is the AI drone pilot, which leverages AI to deliver autonomous flight and intelligent decision-making at scale.

Get Kafka-Nated S2E1: Giannis Polyzos on Fluss, Lakehouse, and the Future of Streaming

Season 2 of Get Kafka-Nated kicks off with Giannis Polyzos for a deep dive into Fluss and one of the most enduring questions in data infrastructure: streaming vs batch, or both? Drawing on his experience as a member of the Fluss PMC, Giannis breaks down what Fluss is, how it fits into modern lakehouse architectures, and where the lakehouse model is heading as we look toward 2026.

Time Series Meets Graph: Understanding Relationships in Streaming Data

Data systems rarely operate as isolated components. Machines depend on sensors, services rely on other services, and devices exchange data through shared gateways. When something changes, the impact often spreads beyond a single metric. To trace how changes move through complex systems, many teams turn to graph-style analysis to map dependencies and follow cause and effect.

Optimizing BESS Operations: Real-Time Monitoring & Predictive Maintenance with InfluxDB 3

For IT and OT engineers managing Battery Energy Storage Systems (BESS) and other distributed energy resources (DER), the challenge isn’t just dealing with energy. It’s a data problem, or managing the massive stream of real-time telemetry these systems generate. For example, a BESS site produces a constant stream of time-series data from BMS, PCS, SCADA, EMS, and more, and operating it means ingesting, correlating, and acting on that data in real time. And this challenge changes with scope.

Technology forecasting should have better tools

Technology moves in waves: breakthroughs, hype, adoption, disappointment, then quiet infrastructure building. The challenge is that traditional forecasting often lags behind reality. Reports are published after the market has moved, expert opinions can conflict, and social media trends can distort what feels important. This is why the idea of a technologies prediction market is compelling. It offers a mechanism for turning diverse beliefs into a live probability signal that updates as new information appears.