Overcoming obstacles in using AI-powered marketing analytics
Learn how Fivetran and Databricks work in unison to enable AI-powered upgrades to marketing ROI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How to Use Confluent for Kubernetes to Manage Resources Outside of Kubernetes
Apache Kafka® cluster administrators often need to solve problems like how to onboard new teams, manage resources like topics or connectors, and maintain permission control over these resources. In this post, we will demonstrate how to use Confluent for Kubernetes (CfK) to enable GitOps with a CI/CD pipeline and delegate resource creation to groups of people without distributing admin permission passwords to other people in the organization.
#shorts - New and Improved Search In Qlik Cloud Analytics Hub
There is now an updated search experience for finding datasets, analytics application, and ML models running on Qlik Cloud tenants so that users can access insights quickly and easily.
Tabular Reporting - Do More with Qlik Webinar Replay
This session will demonstrate how Tabular Reporting used within Qlik Sense Applications enables users to efficiently address and manage common operational report creation and distribution requirements. Attendees will discover how report developers can create formatted Excel Templates directly from Qlik data and visualizations. The webinar will also highlight the power of governed Report Tasks, showcasing the seamless distribution and “bursting” of reports to stakeholders. By leveraging Tabular Reporting, the Qlik platform becomes the central source for crucial operational decisions, customer communications, and more.
CSV Formatting: Tips and Tricks for Data Accuracy
Comma-Separated Values (CSV) files are at the cornerstone of data management. They offer a simplistic yet versatile format to organize and exchange data. CSV files are predominantly used in data analysis, machine learning, and database migrations. Their ability to encapsulate large datasets in a plain-text format makes them instrumental for these use cases.
LLMOps vs. MLOps: Understanding the Differences
Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.
6 Ways Marketers Are Using Generative AI: Is It Really Saving Time?
AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.
Snowflake Improves Query Duration by 20% on Stable Workloads Since We Began Tracking the Snowflake Performance Index
Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements.
How To Improve Data Quality with Domain Validation Rules | Data Quality Rules
Dive into streaming data quality with Gilles Philippart! Learn to keep bad data out with Confluent's Data Quality Rules.
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.