Systems | Development | Analytics | API | Testing

Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.

European logistics, freight and delivery companies require real-time data across their shipping network to meet the needs of the festive season.

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.

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.

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.