Systems | Development | Analytics | API | Testing

This is one question a banking team can ask Spotter right now, "Which customers are likely to churn based on declining balance activity over the last 90 days?" No ticket to the data team, no waiting on a dashboard build, and no SQL. Just a plain-language question and an answer your retention team can act on today. That's the shift from reactive reporting to agentic analytics. Your data answers back.

Your customer service team flags churn risk in a quarterly review. Your product team spots low adoption in a dashboard two weeks later. By the time anyone acts, the customer is already gone. The delay is the real cost of fragmented analytics in software companies. Spotter for Software and Tech surfaces those signals in real time. It connects product usage, sales pipeline, and customer health data so that teams can ask questions like “Which accounts dropped engagement this month and what changed?” This way, they get answers quickly and can act immediately.

Is AI a tool or a threat? Wharton Professor Stefano Puntoni explains why "self-preservation mode" is killing AI adoption in the workplace. Puntoni joins Cindi Howson (The Data Chief host) & breaks down why AI isn't a strategy—it's a tool that requires a "meet in the middle" approach. To succeed, leaders must provide the vision and resources, while empowering workers to co-create the roadmap.

Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact.

95% of AI projects fail. Is your "tech-first" mindset to blame? @wharton’s Stefano Puntoni breaks down the Human-AI gap with podcast host Cindi Howson on.

Most healthcare teams are making decisions from multiple different dashboards and systems that don't talk to each other, which means someone is manually stitching together the picture—one that's always slightly out of date by the time it's ready. Outdated or incomplete data can lead to fragmented patient care and experiences. And no health system wants that. Whether tracking enrollment targets or auditing claims denials, Spotter applies standardized clinical logic to your unified dataset so you can focus on what matters: the patient. Go from chaos to clarity.

In the high-stakes world of financial services, an incomplete answer is more than a typo—it’s a liability that leads to compliance breaches, eroded client trust, and missed fraud. While general BI tools often force analysts into the weeds of manual data reconciliation, Spotter for Financial Services was engineered specifically to handle the industry's unique complexities.

Supply chain leaders are constantly balancing supply and demand in a world where volatility is the only constant. But tracking disruptions after they happen isn't enough—true agility requires seeing them coming. In this session, Ivan Seow, our Senior Director of Product Marketing, takes the wheel for a deep-dive demo of Spotter for Supply Chain. He demonstrates how to move beyond reactive analytics and into a world of proactive, industry-tailored foresight.