Systems | Development | Analytics | API | Testing

What Lays Ahead in 2024? AI/ML Predictions for the New Year

2023 was the year of generative AI, with applications like ChatGPT, Bard and others becoming so mainstream we almost forgot what it was like to live in a world without them. Yet despite its seemingly revolutionary capabilities, it's important to remember that Generative AI is an extension of “traditional AI”, which in itself is a step in the digital transformation revolution.

ML-Based Forecasting and Anomaly Detection in Snowflake Cortex, Now in GA

Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality.

Snowflake Announces Agreement to Acquire Samooha to Simplify Building Interoperable Data Clean Rooms in the Data Cloud

When businesses share sensitive first-party data with outside partners or customers, they must do so in a way that meets strict governance requirements around security and privacy. Data clean rooms have emerged as the technology to meet this need, enabling interoperability where multiple parties can collaborate on and analyze sensitive data in a governed way without exposing direct access to the underlying data and business logic.

Simplify and Accelerate Your Data Streaming Workloads With an Intuitive User Experience

Happy holidays from Confluent! It’s that time in the quarter again, when we get to share our latest and greatest features on Confluent Cloud. To start, we’re thrilled to share that Confluent ranked as a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023, and The Forrester Wave(™): Cloud Data Pipelines, Q4 2023! Forrester strongly endorsed Confluent’s vision to transform data streaming platforms from a “nice-to-have” to a must-have.

Crash Analytics and Reporting for Seamless User Experience

In the realm of product analytics, crash analytics plays a pivotal role in shaping a robust and user-friendly software environment. This comprehensive guide explores the significance of crash analytics within product analytics, highlighting its impact on user experience and product development.

Private Cloud Data Services | Data Catalog

Cloudera Data Catalog is now available for Private Cloud customers on the Kubernetes platform called Data Services. Cloudera Data Catalog focuses on the Business Analyst user who needs to find curated data assets and start analyzing them for quicker decision making. The product leverages all the meta-data that is collected in Atlas and provides a unified view of the different SDX configurations. Cloudera Data Catalog is now available for Private Cloud customers on the Kubernetes platform called Data Services.