Breaking changes in data pipelines cost organizations thousands of hours in debugging and lost productivity every year. This article explores three practical strategies that one team used to implement a data contract system that caught incompatible changes before they reached production. Industry experts share their proven approaches to enforcing backward compatibility, implementing approval workflows, and establishing clear data definitions that prevent costly breakage.
Getting the most value from large language model inference doesn't require complex optimization strategies. Industry experts reveal that implementing continuous batching can dramatically reduce costs while maintaining performance. This straightforward technique delivers one of the biggest efficiency gains available to teams running LLM workloads.
This interview is with Ken Marshall, Co-Founder, Meet Sona.
AI code assistants promise to speed up development, but most teams struggle to extract real productivity gains from these tools. This article breaks down eight concrete strategies that separate hype from measurable velocity improvements, backed by insights from engineering leaders who have successfully integrated AI into their workflows. The techniques cover everything from test-driven practices to context management, offering a practical framework for teams ready to move beyond experimental use cases.
Organizations face mounting pressure to manage AI risks while maintaining compliance and operational efficiency. This article explores practical strategies for implementing Software Bill of Materials and Model Cards, drawing on insights from industry experts who have successfully deployed these tools at scale. Learn how to prevent license conflicts and identify potential privacy issues through systematic policy review and artifact management.
Open-source companies face a critical challenge: how to monetize their products without alienating the community that made them successful. This article explores proven strategies for converting free users into paying customers while maintaining the trust and goodwill that open-source projects depend on. Drawing from insights shared by industry experts, learn how to gate premium features effectively while keeping your core offering strong and accessible.
Organizations rushing to comply with the EU AI Act face a complex challenge: tracking and managing AI systems across their entire operation. Industry experts agree that maintaining a continuous model risk registry stands out as the most effective starting point for compliance. This single step provides the foundation needed to meet regulatory requirements while building a sustainable AI governance framework.
