Artificial Intelligence and Machine Learning

                    Challenge

Solution

Ververica processes data in real time, enabling you to ingest, process, and deliver insights to models as events occur, ensuring your models are always operating on up-to-date data.

Agentic AI automatically investigates and creates alerts, offering automated decisions using both real-time and historical data gathered in Ververica's powerful solution. 

AI/ML systems rely on massive volumes of data from multiple sources, and managing and processing data at scale is resource-intensive.

Ververica easily handles growing data streams without compromising performance, supporting limitless horizontal scaling that allows high-throughput data streams while maintaining low latency.

Batch processing isn’t fast enough to meet the demands of AI and ML applications, and data render models obsolete before they can take action on it.

Ververica's event-driven architecture combines low-latency and stateful stream processing to ensure data is processed as quickly as it arrives while retaining past data to inform more complex operations, such as event aggregation, dataset joins, and business rules.

Generating the complex features AI/ML models rely on from raw data is difficult and may require custom solutions. 

Compute complex aggregations and transformations directly on streaming data, reducing time-to-insight and simplifying your ML pipelines.

Inconsistent or incomplete data negatively impacts model performance.

Ververica provides tools for data validation, deduplication, and enrichment as data flows through the pipeline, ensuring AI/ML models are fed clean, consistent data.

Integrating real-time processing systems with ML frameworks is often complex, requiring custom connectors or manual orchestration.

Built-in connectors and integration capabilities make it easy to feed processed, clean data directly into ML pipelines.

AI/ML systems often require multiple stages (data ingestion, processing, model training, and serving) leading to complex and fragile pipelines.

Simplify pipeline orchestration with Ververica’s unified batch and stream processing, so you can manage end-to-end pipelines efficiently within a single system.

Real-time systems must be resilient to failures to prevent data loss or downtime, which negatively impact AI/ML workflows.

With built-in fault tolerance, state snapshots and recovery, data integrity and continuous processing remain undisrupted, even in the event of system failures.