Systems | Development | Analytics | API | Testing

Why CFOs Can't Ignore AI Auditability | Human-in-the-Loop Explained

Can you explain how your AI reached its financial conclusions? If not, you may be facing serious compliance risks. In this quick breakdown, Martin Baker, Product Marketing Lead for AI solutions at insightsoftware, explains why “black box” AI is becoming a liability in the boardroom and how human-in-the-loop design creates accountability and protects CFOs from Sarbanes-Oxley violations.

3 product leaders share their embedded analytics strategies

For today’s SaaS leaders, accelerating product roadmaps is a top priority. That’s why the most forward-thinking teams are embedding AI-native intelligence directly into the tools and workflows their users rely on every day. Recently, I had the privilege of speaking with product leaders from Tekion, Navan, and ASK BOSCO in ThoughtSpot’s executive masterclass on embedded analytics.

Bridgestone's Chief Data Officer on leading with trust and data

In this episode, Johnathan Tate, Chief Data Officer at Bridgestone Americas, shares how he navigates the critical first 90 days in a new role, builds trust with executives, and positions data as a strategic growth driver. Whether you’re currently in a CDO seat or working toward one, Tate’s playbook offers a blueprint for how to accelerate impact, align with business needs, and lead through AI-fueled transformation.

Three Ways Telcos Use Data and AI to Monetize with Cloudera and Zain KSA

At the TM Forum DTW Ignite 2025 conference, telco experts from Cloudera and Zain explain that the industry's primary drivers are enhancing customer experience, reducing costs, and finding new revenue streams. To achieve this, telcos are leveraging modern data architectures and private AI to securely manage massive data volumes and power use cases like network optimization and hyper-personalization. Zain KSA showcases this in practice, viewing AI as a continuous journey to drive revenue and operational efficiency, successfully managing massive real-time events like the Hajj pilgrimage.

Why Your CFO Can't Afford to Ignore AI Auditability (And How to Get It Right)

Picture this: You’re a CFO presenting quarterly results to the board. A sharp-eyed member questions a major variance in your forecasting model. You’re ready, you explain that your AI system caught the anomaly early. But then comes the kicker: “How exactly did the AI reach that conclusion?” Suddenly, your confidence wavers. If your best answer is, “I’m not sure, but the algorithm is sophisticated,” you’re not alone, but you’re on thin ice.

ChatGPT vs Yellowfin for Data Analysis and Visualization

If you’d like to try Yellowfin for yourself, go ahead and request a free trial. Generative AI has made it easier than ever to analyze data with plain English. You’ve probably seen dozens of videos showing how to use ChatGPT for data analysis — upload a CSV, ask a question, and get a chart. But I wanted to see how that stacks up against Yellowfin, which is designed for analytics from the ground up.

From Data to DNA: Qlik and AWS at the Core of Intelligent Decision-Making

Qlik’s partnership with Amazon Web Services (AWS) is at the very core of our cloud data integration and analytics platform. Think of it like the iconic double helix of DNA. Just as DNA’s intertwined strands carry the fundamental instructions for life, the interconnection between Qlik and AWS carries the innovation and reliability that power the future of enterprise analytics, data integration, and AI.

The Evolution of Salesforce Admins: From System Operators to Revenue Enablers

Salesforce is the backbone of revenue teams across industries. Yet, the individuals who keep it running smoothly, the Salesforce Admins, rarely receive the recognition they deserve. For years, Admins have been seen as the people who “keep the lights on” by resetting passwords, fixing workflows, and generating reports. In reality, their role has grown into something far more significant. They are the unsung heroes of revenue operations, bridging the gap between data, systems, and strategy.