This week on The AI Forecast: prevent AI agents from going off the rails #short #tech #fyp

*Does your enterprise have governance over teams of AI agents?* This week, Tatyana Mamut, PhD, joins The AI Forecast to talk about why agentic AI needs to be managed like human teams. This conversation goes beyond technology; Tatyana also reflects on leadership and representation in tech, challenging assumptions about opportunity, and exhibiting why diverse ways of thinking are critical in an AI-driven world.

Stop Losing Customers to Analytics Delays: Real-Time Insights with Spotter for Tech/Software

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.

Integrated Financial Planning: How To Streamline Your Plan-to-Close Process

For most finance teams, the journey from annual planning through to financial close is anything but smooth. Spreadsheets pile up, emails get lost in inboxes, and critical financial data lives in disconnected systems across business units. The result? Delayed decisions, eroded profitability, and a planning process that exhausts the very people responsible for driving the organization forward.

Healthcare Data Analytics: Turning Clinical Data Into Better Patient Outcomes

Healthcare isn’t just about medicine anymore; it’s about data. Every test result, clinical note, scan, survey, wearable readout, and insurance claim adds to a growing pool of clinical data. But raw data doesn’t improve outcomes on its own. It has to be interpreted, connected, and acted on.

The Value of Low-Code Development

The benefits of low-code development are well-documented: lower IT costs and greater business agility, being among them. Yet despite all the good press, many organizations are wondering if low-code development is worth all the hype. There's also pushback from data engineers and developers who believe that low-code software will take their places within organizations- which isn't the case. Underneath all the opinions, what does low-code development really bring to your business?

CFO Blind Spots: What Scattered Data Is Costing You in 2026

Finance leaders at top companies all describe the same frustration: scattered data is blocking them from being the strategic partner their organization needs. This guide names the blind spots — and shows what becomes possible when you finally close them. You know what your P&L says. But do you know what your cash position will look like in 90 days?

The Custom Build Trap: What Finance Leaders Learn After the Budget Is Approved

Building your own financial data system sounds lean, flexible, and smart — right up until year two. This guide gives you the honest picture most vendors won't: what a production-grade finance system actually costs, what teams almost always miss, and a decision framework built for CFOs who need to get this right the first time. Your data team is confident. The architecture looks solid.