Systems | Development | Analytics | API | Testing

Using AI for Data Analysis - A Complete Guide

Ever noticed how you’re always getting relevant ads, whether you’re streaming on Netflix or shopping on Amazon? Or how sometimes, just thinking about something seems to make it appear on your phone? It feels like every application somehow knows what you’re thinking, serving up personalized suggestions with high precision.

AI That Works: The CFO's Guide to Smarter, Faster Finance

The hype around AI in finance is everywhere—but what actually works? In this short video, we explore Agentic Workflows: AI-driven systems that empower CFOs to make faster, smarter decisions without the noise. Learn how insightsoftware is helping finance teams automate intelligently and scale with confidence.

Yellowfin Assisted Insights - Tell Me About My Data feature demo | Full Walkthrough

The future of analytics is conversational, and with Yellowfin 9.16, it's here today. Tell Me About My Data is a powerful AI analytics feature that extends Yellowfin's Assisted Insights capabilities and enables end-users to glean contextual information from reports and charts with just a single click, automatically processing and analyzing the selected data to deliver helpful commentary using clear, natural language explanations and recommended, ready-to-use charts to illustrate its findings.

Ricoh's AI-Powered Transformation: A Seamless User Experience with ThoughtSpot

Discover how @ricoheurope transformed its user experience with ThoughtSpot Embedded Analytics! In this video, Ricoh's Director of Innovation shares how our developer-friendly embedding creates a seamless, branded look, and how the Spotter AI Agent empowers users to get instant data insights, freeing up internal teams.

The real key to culture change = access to real-time data

Cultural change doesn’t start with strategy — it starts with visibility. Andrew Wood explains how real-time access to data helps teams shift their mindset and drive action. With Databox, outdated reporting cycles are replaced by on-demand insights — turning finance and ops from reactive to proactive. Already using Databox to understand your own business? Then it’s time to help your clients—and grow your bottom line.

How Coinbase Simplifies ML Workflows With Snowflake

Hear from Tuhin Ghosh, Head of Data Science for the Platform Product Group at Coinbase, as he shares how Snowflake ML capabilities are simplifying the way Coinbase delivers machine learning at scale. From eliminating complex, multi-tool pipelines to enabling ML workflows directly on the same platform as the Snowflake data, Coinbase is reducing model production time from months to hours.

We Do Advising Differently: Our 10-Step Approach to Advisory Services

As I recently transitioned to Qlik's Professional Services team to lead Advisory Services, I embraced a clear mission: to engage in high-level discussions with business stakeholders that drive faster value and enhance your return on investment (ROI). By employing a structured 10-step approach grounded in a repeatable agile methodology, we are actively enabling out customers to overcome challenges and achieve their strategic objectives.

Ep 33 | AI Means Nothing If You Don't Know Why You're Using It with Cassie Kozyrkov

In the race of not being left behind in adopting new technology—like AI—enterprises often overlook the most straightforward, strategic question: what decision are we trying to make? Cassie Kozyrkov, first and former Chief Decision Scientist at Google and founder of Kozyr, joins The AI Forecast to reframe the conversation. Her take? It’s not about the genie granting the wish—in this case, AI; it’s about the wisher.

Empowering Digital Teams to Own Data Integration: The End of the IT Bottleneck

In today’s enterprise environment, digital transformation no longer lives solely in the domain of IT. Digital architects, digital technology teams, and cross-functional product leaders now carry critical responsibilities for building digital experiences, embedding AI, and delivering innovation on tight deadlines. Yet far too often, these teams are held hostage by a legacy dynamic: IT owns the data.