Data Lakes: Storing Raw Frames & Insights Side-by-Side
Storing raw images and their insights in one data platform is no longer a luxury — it’s a competitive edge. Lakehouse architectures now make it possible to ingest JPEGs and JSON outputs from computer vision APIs into the same environment, enabling seamless SQL queries across pixels and business KPIs. From retail analytics to compliance reporting, this blog explores how to structure, govern and optimize a lake-native image strategy — unlocking visual data’s full potential while controlling costs.
Top AI Trends in the Oil and Gas Industry for 2025
As the oil and gas industry faces increasing pressure to improve efficiency, reduce costs and meet environmental regulations, AI-powered technologies are transforming operations at every level. From predictive maintenance that prevents equipment failures to computer vision systems that enhance worker safety and environmental monitoring, artificial intelligence is reshaping how energy companies explore, extract and manage resources.
In 2025 and beyond, the integration of AI-driven analytics, automation and real-time monitoring will be key to staying competitive in a rapidly evolving energy landscape. Companies that strategically adopt AI solutions will not only reduce operational risks and optimize production but also gain a significant advantage in sustainability and cost-efficiency.
The future belongs to those who embrace AI-driven innovation — leveraging intelligent automation, data-driven decision-making, and custom AI solutions to unlock higher profitability, improved safety and long-term resilience in the oil and gas sector.