Analytics

Gen AI for Marketing - From Hype to Implementation - MLOps Live #32 with McKinsey and Iguazio

In this MLOps Live session we were joined by Eli Stein, Partner and Modern Marketing Capabilities Leader at McKinsey, to delve into how data scientists can leverage generative AI to support the company’s marketing strategy. We showcased a live demo of a customer-facing AI agent developed for a jewelry retailer, which can be used as a marketing tool to offer personalized product recommendations and purchasing information and support. Following the demo, we held an interactive discussion and Q&A session. Enjoy!

Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.

The Business Benefits of Centralized Business Intelligence (BI)

Choosing the right business intelligence (BI) solution is pivotal for independent software vendors (ISVs) and enterprise organizations aiming for data-driven decision-making. But with so many preferences and use cases to account for, certain considerations can, initially, get overlooked. Centralized business intelligence (BI) is one such topic that requires careful preparation to achieve a nuanced understanding.

Special Episode: How to make generative AI a reality | Capgemini

George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.

Handling the Producer Request: Kafka Producer and Consumer Internals, Part 2

Welcome to the second installment of our blog series to understand the inner workings of the beautiful black box that is Apache Kafka. We’re diving headfirst into Kafka to see how we actually interact with the cluster through producers and consumers. Along the way, we explore the configurations that affect each step of this epic journey and the metrics that we can use to more effectively monitor the process.