A leading bank kept its mainframe as the source of truth but shifted heavy compute to Flink, cutting MIPS by 90 percent in three weeks and saving $1M annually. Architecture includes COBOL to Java refactors, Kafka, Azure Blob, and exactly–once streaming.
Breaks down new rights, penalties, and access rules under the EU Data Act, plus a timeline to the September 2025 deadline and first steps like APIs and granular access control.
Meta’s Diff Risk Score uses a fine–tuned Llama model to score code diffs and flag risky snippets before release, now integrated into review and deploy workflows.
Google Cloud adds data agents to BigQuery and Vertex AI, plus toolkits for building your own. Includes agents for engineering, data science, and conversational analytics, all tied into a unified AI native foundation.
Production blueprint for a chatbot streaming sessions via Kafka while Amazon Bedrock handles generation, document prep, and real–time masking.
BaseModel.ai runs natively in Snowflake to turn behavioral logs into models without data egress, delivering week–one deployments and benchmark wins over top models.
Boosted AI’s Alfa creates persistent AI workers for finance, using multi–LLM architectures and blended datasets for proactive analysis.
Databricks One gives business users a single interface for data and AI insights without coding.
Intro to lakehouse concepts, problems solved, and design principles like modularity and open standards.
Tour of open table formats, partitioning, tiering, and compliance strategies, plus a live demo.
A hands-on guide to setting up a streaming data lakehouse with schema evolution and end-to-end reliability using open-source tools.
Spark pipelines can now read Snowflake data without data movement. This new integration simplifies hybrid workflows and keeps full access control in place.
A lightweight Python library for information extraction with built-in schema validation and few-shot support. Built for fast, type-safe NLP pipelines.