Building AI-ready data infrastructure with Fivetran's Connector SDK
Fivetran’s Connector SDK radically simplifies the process of building custom connectors for unsupported data sources.
Closing the AI readiness gap with better data integration
In this episode, Fivetran speaks with Tim Veil, Principal at Two Bear Capital, to unpack the challenges businesses face in operationalizing AI — and why data strategy, not just data volume, is the key to unlocking real business value.
How a CDAO goes from baseball to insurance with Don Vu - New York Life
Step inside the world of data innovation as Cindi Howson talks with Don Vu, SVP and Chief Data and Analytics Officer at New York Life. They'll reveal how a 180-year-old institution is leveraging cutting-edge AI to make experiences proactive and intelligent. Hear how New York Life utilizes their innovative "GuideMe" tool to supercharge agent and client financial planning, tackles the "last mile problem" in data operationalization, and ensures data quality is paramount for both structured and unstructured data.
Unlocking Seamless AI: ClearML's Model-as-a-Service Delivers One-Click LLM Deployment with Unrivaled Control
By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.
How to Unlock More Powerful Data Visualizations in Qlik With Vizlib
Data is everywhere, but transforming it into clear, actionable insights is easier said than done. For organizations using Qlik, the platform offers a strong foundation for analysis, but how do you take your dashboards from functional to exceptional? Enter Vizlib from insightsoftware, the game-changing Qlik add-on that empowers users to turn basic dashboards into engaging data stories.
ThoughtSpot is a Leader in the next era of Agentic Analytics and BI
For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers. It’s a vicious cycle of dashboard sprawl, not true intelligence.
New With Confluent Platform 8.0: Stream Securely, Monitor Easily, and Scale Endlessly
At Confluent, we’re committed to building the world's leading data streaming platform, which gives you the ability to stream, connect, process, and govern all of your data and make it available wherever it’s needed—however it’s needed—in real time. Today, we're excited to announce the release of Confluent Platform 8.0! This release builds on Apache Kafka 4.0, reinforcing our core capabilities as a data streaming platform.
Measuring the Value of Data Products
Today’s savviest business organizations rightfully recognize data as an essential asset. However, measuring data value across the entire data estate is challenging due to its inherent complexity. By breaking data down into smaller units that are business-outcome centric — data products — organizations can more accurately and reliably assess their value.
Data Cleaning Best Practices: The Foundation for Reliable Reporting Across Teams
Here’s the truth: without proper data cleaning, your dashboards, forecasts, and strategy are built on shaky ground. In fact, bad data is already costing U.S. businesses more than $3.1 trillion a year, according to one IBM study. That’s not just a number – it’s lost deals, missed targets, and wasted hours chasing down the wrong metrics.
What's the Hype Around Multi-Agent Systems in AI?
AI is evolving fast. But if we want it to truly solve real-world problems, we need to stop thinking of it as a single brain and start building it like a team. That’s where Multi-Agent Systems come in. Instead of relying on one large model to do everything, we’re now designing AI agents with specialized roles that collaborate, delegate, and execute tasks together, just like high-performing human teams.