Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.

In this webinar we explored and discussed McKinsey’s vision for harnessing AI agentcs to achieve holistic impact. Watch to delve into.

This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.

This episode of Do More with Qlik Tips and Tricks will present a brief scenario on how to use Data Flow to prepare your data for predictive modeling.

Discover how Confluent’s Data Streaming Platform and Microsoft Azure are revolutionizing the retail industry. In this video, learn how real-time data streaming and AI-powered insights can: Explore how Confluent and Azure’s seamless integration enables retailers to break down data silos, streamline operations, and accelerate innovation with scalable, enterprise-ready solutions. Whether you’re looking to modernize your retail infrastructure, enhance customer engagement, or drive operational efficiency, this video is your guide to leveraging AI and real-time data streaming.

How do you bring real-time data to AI and machine learning models? Kai Waehner, Field CTO at Confluent, explains how to use Flink for real-time model inference to power use cases for generative AI, real-time analytics, predictive maintenance, and more.

This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.