EP 15: Why Marketers Struggle with Data

Today’s digital environment is noisier than ever. For brands to stand out, they need to be hyper-relevant to their customers. That’s where the power of data comes in. In this episode of The AI Forecast, we’re joined by marketing expert Zontee Hou. Not only does Zontee have 20 years of experience in the marketing industry, she’s also the author of Data-Driven Personalization, the founder of Media Volery, the managing director of consultancy Convince & Convert, and the host of the Data-Driven Decisions podcast. To put it lightly, she is pretty busy!

The Confluent Q1 '25 Launch

The Confluent Q1 ’25 Launch includes Freight clusters and Tableflow, the features needed to make streaming data cheaper and feeding your data lake easier. We’re also introducing AI tools for Apache Flink, VS Code Extension, a new premium Oracle CDC Connector, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Tableflow: Represent Kafka topics as Apache Iceberg or Delta Lake tables in a few clicks

Tableflow represents Kafka topics and associate schemas as open-table formats such as Apache Iceberg(Generally Available) or Delta Lake (Early Access) in a few clicks to feed any data lake, warehouse, or analytics engine. It removes the need for complex, costly and error-prone data pipelines that are currently being used to feed streaming data to data lakes while delivering strong read performance and automated data maintenance. Customers can also bring their own storage ensuring flexibility, cost savings, and security.

How Retail and Media Leaders Drive Customer Satisfaction and Profits with Data and AI

Nearly nine out of 10 business leaders say their organizations’ data ecosystems are ready to build and deploy AI, according to a recent survey. But 84% of the IT practitioners surveyed spend at least one hour a day fixing data problems. Seventy percent spend one to four hours a day remediating data issues, while 14% spend more than four hours each day.

The FinOps Advantage: Aligning Data Teams with Financial Goals in Databricks Environments

Aligning technical operations with financial objectives is crucial yet challenging. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to unite data teams and finance for Databricks success. You will gain the knowledge and tools to create a FinOps framework that aligns your Databricks operations with your organization's financial goals. With Unravel's Data Actionability Platform, you can see deep insights into your cloud spending and make informed decisions that balance innovation with cost-efficiency.

Ep 4 - From Legacy to Cutting-Edge: Henry Schein One's Data Streaming Vision

Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming. In this episode, Chris Kapp, Software Architect at Henry Schein One (HS1), shares how his team modernizes data management to stay competitive and unlock real-time insights. You’ll learn about: Get ready to future-proof your data strategy with this must-listen episode for technology leaders facing scalability, governance, or integration challenges.

Unleashing AI's Full Potential: Hitachi Vantara to Help Solve the Data Challenge Using NVIDIA AI

Every article I read highlights the need for rapid adoption of AI, with emphasis on agentic and generative AI redefining the boundaries of data architectures. As organizations expand automation, personalization and real-time decision-making, they face a fundamental challenge: data gravity – especially to meet the demands of AI reasoning inference workloads – is pulling AI workloads toward storage, but disaggregated architectures struggle to keep pace with the need for rapid data access.