Systems | Development | Analytics | API | Testing

#OnTheSpot: Connecting Structured Data with Live Web Search for Smarter PR

Public relations professionals spend hours pulling coverage reports, but our Director of Corporate Communications Russell Dougan does it in minutes In our latest, Russell shows how he uses ThoughtSpot Spotter to prep for his QBR. By connecting structured data with live web search, Spotter analyzes Q2 media performance and delivers a plan for which publications and podcasts to prioritize in Q3. This is what agentic analytics looks like for comms teams.

AI Agents & Enterprise AI Governance: The WPP Blueprint for Brand Brains | The Data Chief

AI agents are transforming enterprise AI, governance frameworks, and business decision-making. In this episode, we explore agentic AI systems, decision intelligence, and brand brains — AI systems designed to produce brand-specific, production-grade content that differentiates businesses. Join @wpp's Daniel Hulme & podcast host Cindi Howson for this insightful discussion. If you're a Chief Data Officer, Chief AI Officer, or enterprise leader, this conversation explains how to deploy AI agents safely, govern them effectively, and automate complex decisions while augmenting human creativity.

How AI Augments Human Creativity at Scale: The WPP Blueprint

Learn how AI agents are reshaping enterprise decision-making, AI governance, and brand creativity. Daniel Hulme, Chief AI Officer at WPP & CEO of Satalia/Conscium, explains how AI agents, decision intelligence, and his concept of “brand brains” (AI systems designed to create brand-specific, production-grade content) are changing how organizations operate. He shares why companies don’t have data problems but decision-making problems, and how AI can augment human creativity at scale.

The Five Pillars of AI Compliance Excellence

95% of AI pilots are failing. Here's why the other 5% are winning. While most organizations scramble to retrofit compliance into their AI implementations, leading finance teams are building it in from the start—and gaining a major competitive edge. Three insights that caught my attention: → Vendor solutions succeed at 2x the rate of internal builds (67% vs 33%)—your team's expertise matters more than you think.

Data Products for Qlik Analytics - SaaS in 60

Qlik Data Products for Analytics is how you turn raw data into something people can actually trust and reuse. It’s built right into Qlik Cloud Analytics and is designed for analytics teams, data producers, and even AI initiatives. Instead of everyone rebuilding datasets over and over, teams can publish curated, governed, analytics-ready data products that include business context, quality checks, and our patented Qlik Trust Score. People discover them in a marketplace, plug them straight into dashboards, apps, or AI workflows, and move fast with confidence. The big value? Less duplication, lower cost, faster app development, and insights you can actually trust.

Embedded Analytics as a Revenue Generator: Turning BI Into Product Revenue

BI is Not a Cost Center The Hidden Barriers Between Embedded Analytics and Revenue Turning Embedded Analytics Into a Scalable Revenue Stream Why YellowfinBI Maps Well to Revenue-Grade Embedded Analytics Proving ROI: Revenue Stories That Survive Finance Review Conclusion: Packaging Embedded Analytics as Revenue FAQ.

Cortex Code CLI expands to support any data, anywhere

Cortex Code CLI is expanding capabilities to accelerate your enterprise data lifecycle inside Snowflake! Introducing dbt and Apache Airflow support, expanded model choice across Claude Opus 4.6, Sonnet 4.6, and GBT 5.2. New enterprise-grade governance controls, and a self-serve subscription option. See how Cortex Code CLI helps you ship workflows faster, integrate data systems, and build with confidence using natural language.

The Data Hiring Dilemma: Scaling Analytics Without Expanding Headcount

The volume of data businesses process is surging exponentially, while budgets for human capital remain constrained. For many CTOs and Data Leaders, a default response to escalating data demands can be an accelerated hiring cycle; get more people. Yet, relying on recruitment to solve challenges around scaling analytics is no longer easily feasible; it can be a significant bottleneck.