Systems | Development | Analytics | API | Testing

The 4-Part Alignment Framework Every SaaS CMO Needs (Kyle Lacy, Docebo)

What would happen if Marketing stopped acting like a request factory and stepped up as the hub of revenue, enablement and strategy? In this episode of Move the Needle, Kyle Lacy (CMO at Docebo, ex-Seismic, ExactTarget, Salesforce) breaks down his "CREM" framework—Communication, Revenue, Enablement, Metrics—and shows how any SaaS team can use it to earn board-level credibility and hit the pipeline number. Along the way we tackle product-level pipeline ownership, building an AI “SWAT team,” and the right way to say “no” to random requests without losing goodwill.

Turn Data Into Dollars: Start Offering BI Services Today #businessintelligence #clientreporting

Are your clients drowning in data? Learn how to turn the work you're *already* doing into a strategic service offering. In this short guide from Databox, we’ll show how agencies and consultants can package, sell, and deliver Business Intelligence as a Service to help clients bridge the gap between raw data and real business decisions. Help clients track performance Spot trends & growth opportunities Package and price BI as a Service Get free training & support from Databox.

Intro to Advanced Analytics | Kong Konnect

In this video, Christian Heidenreich, Product Manager for Konnect Analytics, provides a look into Advanced Analytics in Kong Konnect. Advanced Analytics delivers unparalleled insights into your entire API ecosystem with real-time, context-rich data, empowering both technical and non-technical teams to make informed decisions quickly and efficiently.

LLM Evaluation and Testing for Reliable AI Apps

As LLMs become central to AI-driven products like copilots and customer support chatbots, data science teams need to ensure the LLM performs well for the use case. The process of LLM evaluation ensures reliability, safety and performance in production AI systems. In this guide, we explore how to approach evaluations across development and production lifecycles, what frameworks to use, and how the integration between open-source MLRun and Evidently AI enables more scalable, structured testing.

From Oracle to MongoDB: How to Modernize Your Tech Stack for Real-Time AI Decisioning

Playlists for every mood and occasion. Media recommendations grouped by the most niche theme from your watch history. Sophisticated ad algorithms that optimize pay-per-click ads for the customer experience. Whether you call them digital-native, disruptors, or just tech giants, the likes of Spotify, Netflix, and Amazon have long made uncannily personal experiences a key part of their differentiation or business models.

ClearML Enterprise 3.26 Is Here: Static Routes, NIM Deployment, SGLang Support, and More

ClearML Enterprise v3.26 brings powerful upgrades across model deployment, NIMs container deployment, and dataset management – all part of our end-to-end platform for managing and scaling AI in the enterprise.

Google Cloud Spanner ETL Tools: Low-Code & Code-Based Approaches

For data engineers and architects evaluating Spanner ETL solutions, the landscape has become more complex. Organizations must balance the need for sophisticated data transformations with accessibility for non-technical users, all while managing Spanner's unique architectural requirements. The right ETL tool can mean the difference between a successful implementation that delivers on Spanner's promise of global scale and consistency, or a costly project that fails to meet performance expectations.