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Special Episode: Fivetran and Databricks CEOs reveal the secret to AI

George Fraser, CEO and co-founder of Fivetran, and Ali Ghodsi, CEO and co-founder of Databricks, are building products that power the modern data stack. They offer an insider’s perspective on the hardest parts of building and deploying generative AI in the enterprise.

Episode 5: Data democratization and readiness for AI | Powell Industries

The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.

Episode 3: Taming data chaos in digital advertising | Tinuiti

Lakshmi Ramesh, Vice President of Data Services at Tinuiti, which services brands like Rite Aid, Nestle, and Instacart, joins us to talk about her work at the intersection of tech, data and marketing. We discuss how the company manages data from hundreds of platforms to serve both clients and internal teams.

Episode 2: Building a foundation for customer 360 | BODi

In this episode of Data Drip, Aarthi Sridharan, VP of Data Insights and Analytics at BODi, examines her experience leading a complex data migration project to achieve customer 360 in a rapidly evolving fitness industry. She reflects on the challenges of migrating from multiple on-premises data warehouses to a unified cloud-based system and highlights the most important lessons she learned about planning, adapting, and managing a major multi-year project.

Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI

Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.

Episode 1: Why everything doesn't need to be generative AI | Rocket Software

Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? We talked with Parag Shah, Senior Director of Data and Analytics at Rocket Software, to explore the hype and hope around both generative and predictive AI.

Sorenson Plugs & Plays Data Integration at Scale with Fivetran

Sorenson Communications is a leading provider of captioning and interpretation services for the hard-of-hearing and deaf, with the mission to make communication accessible and clear regardless of signed or spoken language. Automated, real-time translation of all kinds depends heavily on natural language processing and the data used to train it.

Automate Building ML Experiments with Databricks, AutoML, and Fivetran: Predicting Wine Quality

Learn how Fivetran’s automated data movement platform allows you to quickly set up a relational database connector to the Databricks Lakehouse to move a wine quality dataset over to the lakehouse and ensure that it’s ML-ready. Then you’ll see how to use Databricks and AutoML to run classification experiments on the dataset to generate models for wine quality predictions based on a variety of parameters, including citric acid, ph, residual sugar, and sulphates. An extra bonus is that you don’t have to be a data engineer, ML engineer, or a wine expert to deliver quick value with this tech stack and approach.

Accelerate Building Data Apps with Snowflake, Streamlit, and Fivetran: Workday Talent Management

Learn how Fivetran accelerates and automates data movement for Workday HCM data to the Snowflake Data Cloud. Using Fivetran’s fully automated and fully managed data movement service, you can achieve self-service data integration for all Snowflake data workloads quickly and securely and always be 100% automated. Kelly Kohlleffel steps you through creating a Workday to Snowflake connector with Fivetran for both the initial sync and ongoing incremental change data capture while creating a data app-ready dataset in Snowflake that is immediately useable, trusted, organized, and understandable by Streamlit.