Systems | Development | Analytics | API | Testing

The 3 Simple Questions Tech VPs Wish You'd Ask

Managing a $3 BILLION supply chain comes down to just 3 simple questions... @swirecoca-colausa6473’s VP of Data, Bharathi Rajan, reveals why you need to ditch the complex frameworks and AI hype before you try to scale. ThoughtSpot’s Cindi Howson drops the ultimate truth bomb: Stop waiting for "perfect" infrastructure. Use what you have today to win. Tune in to for the full blueprint! Music: “The Clermont” by Flash Fluharty Licensed via PremiumBeat, ID: P9IHFMDYNZCKLEFZ.

Best AI Visibility Tracking Tools (2026)

If your brand does not appear when buyers ask ChatGPT, Perplexity, or Google AI Overviews for recommendations, you are invisible to hundreds of millions of potential customers. ChatGPT alone now reaches 900 million weekly users. The shift is clear: buyers now get answers directly from AI engines rather than clicking through to websites.

Ep 80 | Decision Logic: The Difference Between an Answer and a Decision

Ask an AI system a question, and you'll get an answer. Decision logic determines whether you should trust it. In this episode of The AI Forecast, Paul Muller sits down with Darlene Newman, Innovation Lead at Duczer East, to explore the hidden layer that helps AI move from pattern matching to practical decision-making.

7 Best Unstructured Data Tools for Enterprise AI (2026 List)

Enterprise AI depends on data that was never designed for AI. Most business knowledge is not sitting neatly in rows and columns. It is spread across documents, emails, chats, tickets, logs, telemetry streams, PDFs, customer conversations, search indexes, knowledge bases, product content, operational systems, and digital experience platforms.

8 Data Integration Platforms for Lending and Credit Fintechs (2026)

Lending and credit fintechs sit at the intersection of two hard problems: moving sensitive financial data fast enough to make timely credit decisions, and keeping that data secure enough to satisfy regulators, auditors, and enterprise security teams. The platforms that work for this use case share three traits. They replicate data with latency low enough to feed risk scoring models.

Why Your Customers Hate Your Analytics (and What To Do About It)

Monthly active user rates stuck at 23%. A Slack message about another client who can't find the data they need. A support ticket your team has started to joke about: “Can you export this to Excel?” Once upon a time, embedding dashboards inside your product was a differentiator. Today, this is what the feedback looks like when your analytics stop working. AI agents can now respond to complex questions with meaningful insights in seconds.