How to enable smart manufacturing with AI-powered insights
Connect data from across all sources to see, understand, and predict every aspect of manufacturing operations and optimize decision making.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The Agentic Semantic Layer and OSI: A New Standard for AI
At ThoughtSpot, we've long understood that a robust semantic layer is the linchpin of a successful data strategy. Our Agentic Analytics Platform is built on a semantic foundation that makes it possible for anyone to get trusted, instant answers from data using simple natural language. However, the industry has struggled with a foundational challenge for years: a lack of a common semantic standard.
Driving Climate Action Through Data: How C40 Cities is Scaling Knowledge for a Healthier Planet
The climate crisis is the defining challenge of our time, and cities are on the frontlines. Home to more than half of the world’s population, cities are both major contributors to global emissions and critical drivers of climate solutions. Delivering cleaner air, healthier communities, and resilient infrastructure requires not just commitment, but the power of data to guide and accelerate action.
Power ON: Plan, Forecast, and Enrich Data Directly in Power BI
As Power BI continues to become a more critical component of business operations for organizations across the globe, many of those businesses are looking to enhance their utilization of Power BI and transform it into an even more productive business tool.
AI Wins Start With Data Streaming
AI is only as good as the data it runs on. Confluent’s Sean Falconer dives into why AI wins start with data streaming—and shares best practices for building reliable systems.
Introducing Spotter 3: The Boundaryless Analytics Agent
What if your AI agent could reason like a data analyst and connect to all of your data? Meet Spotter 3, our new boundaryless analytics agent. This isn't just a search tool; it's a game-changer. Spotter 3 can: Stop guessing and start knowing. Watch now to see how Spotter 3 is providing deeper insights and more confidence for every decision.
#shorts - Serve Insights Faster: Meet Table Recipe in Qlik Cloud Analytics
Qlik’s new Table Recipe makes preparing data faster and easier than ever. In a familiar, spreadsheet-style interface, you can clean and transform data without writing a single line of code. Split fields, format dates, filter rows, and rename columns — all with a few clicks. Then, publish your recipe to generate clean, reusable datasets in QVD, CSV, or Parquet formats, and even schedule automatic refreshes. It’s a simple, powerful way to keep your analytics running on trusted, ready-to-use data.
New in Databox: Build Annual Plans That Actually Work With OKRs and Forecast Modeling
It’s annual planning season! Across the company, leaders are setting targets, scoping new initiatives, and shaping the roadmap for the year ahead. But if you’ve been through this before, you know how quickly plans lose relevance. Goals that looked clear on paper become harder to measure in practice, teams lose sight of the bigger picture, and the assumptions you made about resources and impact rarely hold up.
From What to Why: How Contextual Insights Elevate BI
Traditional dashboards often show what happened but not why, causing a decision-making gap. The solution lies in adding contextual insights, made possible using tools such as gen AI and natural language query (NLQ), which empower business users to get plain-English explanations and ask their own questions, leading to greater confidence, agility, and business impact. Book a demo and try Yellowfin AI-assisted contextual insights for yourself.
How to Automate CSV Data in Real Time (2025)
CSV files are still the lifeblood of data operations in many mid-market companies across the U.S. From marketing teams exporting leads, to product managers analyzing usage data, to operations teams exchanging files with vendors, CSV remains a go-to data format. But with their flexibility comes fragility: missing values, duplicate rows, inconsistent types, and encoding errors can cause downstream chaos in analytics, automation, and reporting.