Systems | Development | Analytics | API | Testing

Demo: Flink Table API, User-Defined Functions (UDFs), Process Table Functions (PTFs)

Aug 18, 2026 By Confluent, an IBM Company In Confluent
Fully managed Confluent Cloud for Apache Flink combines Flink SQL for data engineers with programmatic capabilities like the Table API, User-Defined Functions (UDFs), and Process Table Functions (PTFs) for developers. You can build mission-critical use cases with programmatic capabilities while using familiar dbt- and SQL-based workflows.
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Demo: Real-Time Forecasting with IBM Granite Time Series Models, Apache Flink, and Apache Kafka

Aug 18, 2026 By Confluent, an IBM Company In Confluent
Perform robust real-time forecasting on your Kafka data streams using IBM Granite Time Series models TTM, FlowState, PatchTST-FM right in Flink. Get started easily with zero-config, model flexibility, and lower cost in fully managed Confluent Cloud.
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Demo: Real-time anomaly detection and forecasting, Real-Time Context Engine for AI agents, and more

Aug 18, 2026 By Confluent, an IBM Company In Confluent
What's new in Q3'26: Real-time anomaly detection and forecasting with IBM Granite Time Series models and Google TimesFM model, upserts for Real-Time Context Engine to maintain fresh context for AI, and lightning queries to instantly serve the current state of the business for operational apps, analytics, and more.
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dreamfactory

Build Custom, AI-Ready API Endpoints Without Writing Backend Code

Aug 18, 2026 By Nic Davidson In DreamFactory
Auto-generated APIs changed how fast teams ship. Point DreamFactory at a database and you get a complete REST API in seconds: every table, full CRUD, live documentation, role-based security. For thousands of teams, that is the whole job. But auto-generated APIs mirror your schema. Your applications, and increasingly your AI agents, want something more deliberate: clean paths, shaped responses, and endpoints that match how the consumer thinks rather than how the database is laid out.
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5 Ways Automation Is Improving Food Manufacturing Quality and Safety

5 Ways Automation Is Improving Food Manufacturing Quality and Safety

Aug 18, 2026 By SystemsDigest In SystemsDigest
Food manufacturers have always operated under intense pressure to deliver products that are both consistent and safe. A single contamination event or a batch of mislabeled allergens can trigger recalls, damage brand trust, and put consumers at risk. As production volumes grow and supply chains stretch across borders, manual inspection processes are struggling to keep pace. That's where automation is stepping in, transforming how food is monitored, tested, and cleared for shelves. Continue reading to learn more about how automation improves food manufacturing.
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Who's Responsible When AI Gives You the Wrong Answer? Andy Cotgreave and Francois Lopitaux Debate

Aug 17, 2026 By ThoughtSpot In ThoughtSpot
If an AI agent gives a business user the wrong number, and a consequential decision gets made off it, who's responsible? The data analyst who built the semantic layer? The platform? Or the business user who asked the question and acted on the answer?
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Real-Time Fraud Detection with Edge-to-AI | Cloudera Data in Motion Demo

Aug 17, 2026 By Cloudera, Inc. In Cloudera
Learn how to build an end-to-end, real-time edge-to-AI data pipeline to tackle critical enterprise challenges like credit card fraud detection. In this demo, Diby Malakar (Product Lead for Data in Motion) demonstrates how to process an average of 5,000 transactions per second in low hundreds of milliseconds to detect fraud instantly. Discover how Cloudera’s Data in Motion suite enables application developers to ingest, govern, and enrich streaming edge data to power instant AI model inference and live analytics.
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