Systems | Development | Analytics | API | Testing

In this informative session, Toni Ramchandani sheds light on the essential practice of white box testing of AI Models, where participants will uncover the internal mechanics of AI models, gaining valuable insights into neuron activation, layer functions, and model interpretability. From honing skills in robustness and reliability testing to addressing bias and fairness concerns, attendees will explore a comprehensive range of topics crucial for ensuring the effectiveness and ethicality of AI systems.

Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.

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.

Dive into streaming data quality with Gilles Philippart! Learn to keep bad data out with Confluent's Data Quality Rules.

What is the role of data governance in cybersecurity? How do bad developer behaviors affect data quality? How will generative AI impact data management and security? This week, we revisit the Developers Behaving Badly Report with Lauren Maffeo, Senior Service Designer at Steampunk! We talk about data ethics, data governance, cybersecurity, and how they all tie together.