Stop Letting Tools Decide What You Measure #MarketingLeadership

Charlie Grinnell of RightMetric breaks down a mistake too many GTM teams make: Letting tools drive the metrics, instead of letting business needs drive the tools. Easy-to-track ≠ strategic 76% of low-growth companies track web traffic as a top KPI High-growth teams focus on what actually matters — even when it’s hard to track.

From Cost Center to Revenue Generator: Energy-Optimized GPU-as-a-Service

By Erez Schnaider, Technical Product Marketing Manager, ClearML The GPU-as-a-Service market is experiencing hyper growth. Yet across telecommunications companies, cloud service providers (CSPs), and enterprise organizations, GPU infrastructure has been viewed as a necessary cost center rather than a strategic asset. This perspective is changing as energy optimization technologies and multi-tenant capabilities transform GPU infrastructure into monetization engines and competitive differentiators.

Expanding the AI Data Landscape: Confluent's Q3 Integrations Summary

In an era when every second counts, enterprises that can act on information the moment it arrives are positioned to win—and real-time streaming data is the fuel that brings artificial intelligence (AI) to life. Powering agentic AI and advanced analytics can’t be done with static or delayed data; organizations need a comprehensive, reliable supply of streaming data representing their entire businesses.

Snowflake: The Platform For The AI Era

The age of AI has arrived, bringing unprecedented opportunities and complex new challenges. The Snowflake AI Data Cloud is the unified platform and connected ecosystem built for this new era of innovation. Our platform empowers organizations to break down silos, activate their data and build powerful AI applications with speed and trust. Join us and discover why Snowflake is the place where data does more.

The Unsung Hero of Enterprise Data: The Data Operator

In an era where 74% of companies struggle to achieve and scale AI value despite widespread adoption of integration tools, a fundamental disconnect has emerged between enterprise data infrastructure and business execution velocity. On one hand, enterprises need professionals who can own data integration outcomes without becoming engineers.

Zero Downtime Data Migration: A Real-World Healthcare Blueprint

Patient care systems don’t shut down for maintenance. Emergency rooms process admissions at 3 AM. Surgical units access medical histories mid-procedure. Yet healthcare organizations still face a persistent challenge: moving years of clinical data, billing records, and operational systems to modern platforms without interrupting any of these critical functions. This operational reality creates a specific technical problem.

Enterprise Data Consolidation: Your Comprehensive Guide

Organizations tend to accumulate data systems the way cities accumulate roads—one at a time, for specific purposes, typically with little consideration for how they’ll eventually need to work together in the future. Customer records sit in five CRMs. Financial data spans three ERP systems. Operational metrics scatter across dozens of legacy databases. The infrastructure works. Each system performs its designated function.

Coming Soon - Passing Dynamic Selections - Taking Action On Your Data - Qlik Automate & Qlik Cloud

In the works: Part 4 of the Do More with hashtag#Qlik Taking Action on Your Data series! This chapter dives into how you can be proactive with your analytics — dynamically passing discovered insights from Qlik Analytics into Qlik Automate. Qlik automations can trigger any backend process — helping you close the loop between insight and action. From notifications and approvals to system updates and workflows, you’ll see how intelligent, action-driven dashboards can do more than visualize data — they can actually move business forward.