Systems | Development | Analytics | API | Testing

How To Build a Managed Dashboard With Logi Symphony

When it comes to dashboards, there are usually two schools of thought: self-service dashboards users can build themselves or finished dashboards. In our world, we call these finished dashboards managed dashboards. There is no right or wrong choice. Self-service dashboards are excellent for exploration and flexibility. Managed dashboards are just as valuable because they give users exactly what they need without forcing them to do extra work to get to the data.

Ep 38 | Governing the Future of AI with Ayesha Khanna

A city can’t be smart if its systems don’t serve its citizens. Ayesha Khanna, AI advisor, entrepreneur, and CEO of Addo, joins The AI Forecast to explore how AI is reshaping the cities we live in and the lives we lead within them. She and host Paul Muller dive into the intersection of AI and urban development, where infrastructure, governance, and personalization come together to elevate the quality of life. They discuss the real-world challenges of deploying innovative city technologies, the critical role of data management, and how AI can expand access to services like education and healthcare.

LinkedIn Is a Revenue Channel (If You Know What to Look For) - with Brendan Hufford

Is LinkedIn really just a vanity channel? Brendan Hufford doesn’t think so. In this episode of Move the Needle, Brendan – founder of @GrowthSprints and SaaS growth advisor – shares how he uncovered a direct correlation between LinkedIn impressions and revenue. He breaks down how he ran the experiment, what tools he used, and why more GTM leaders should stop obsessing over perfect attribution and start looking for meaningful correlations across channels.

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.