Dataiku

Ingest CRM and transaction data.

Use visual preparation to join tables.

Train a Random Forest model in the AutoML lab.

Deploy as a batch scoring recipe.

Export high-risk IDs to Marketing Cloud.

Connect to IoT sensor streams in S3.

Apply window functions to calculate rolling averages.

Build an anomaly detection model.

Set up a Scenario to alert engineers via Slack when thresholds are breached.

Collect data from utilities, supply chain, and travel logs.

Standardize units using custom Python code.

Validate data against ESG benchmarks.

Generate automated PDF reports using Dataiku Dashboards.

Stream transaction data via Kafka.

Apply pre-trained Isolation Forest model.

Score transactions on a high-availability API node.

Route suspicious flags to human investigators for review.

Upload internal PDFs to a Dataiku managed folder.

Use the LLM Mesh to embed and store data in a vector DB (e.g., Pinecone).

Build a RAG (Retrieval-Augmented Generation) pipeline.

Deploy a custom web app for employee interaction.

Ingest historical sales and weather data.

Apply DeepAR or Prophet algorithms in the Time Series lab.

Back-test models against recent performance.

Push forecasts to ERP systems via API.

Connect to global watchlists via web-scraping recipes.

Perform fuzzy matching between client names and lists.

Document the audit trail in the Governance Hub.

Automate weekly refresh cycles.