Real-Time Feature Engineering

Name: Real-Time Feature Engineering
Brand: Iguazio
Rating: 5 (3 reviews)

Ingest real-time data, perform data transformation, generate and share real-time features across environments and teams to build and deploy high-performance AI applications

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Real-Time Feature Engineering
in Production

Feature engineering in machine learning is like an art—a very challenging art. Generating a new feature based on batch processing takes an enormous amount of work for ML teams, and those features must be used for the training stage as well as the inference layer. Feature engineering for real-time use cases is even more complex than for batch. Real-time pipelines require an extremely fast event-processing mechanism, that can running complex algorithms to calculate features in real time. With the growing business demand for real-time use cases such as fraud prediction, predictive maintenance and building real-time recommendation engines, ML teams are feeling immense pressure to solve the operational challenges of real-time feature engineering for machine learning in a simple and reproducible way. The Iguazio MLOps Platform solves these challenges, with one single logic to generate real-time and offline features for training and serving, and an extremely fast event processing mechanism to calculate features in real time.

Feature Engineering Made Simple

Enable your data science team to create complex features using a simple API, and eliminate effort duplication and the consumption of excess engineering resources. Easily create aggregations on sliding windows, enrich your streaming events, calculate complex formulas and work on live-streaming events using an abstract API.

Native Feature Store Integration

Consume any feature immediately, whether for production or feature analysis. All features, including real-time features, are managed, stored and analyzed in the Iguazio integrated feature store.

Ready for Production

Eliminate the need to translate code and break the silos between data scientists and data engineers by automatically converting features written in Python into scalable low-latency production-ready functions.

Real-Time Graph

Create a real-time graph with built-in libraries for common tasks, with just a few lines of code, to easily make sense of multi-step dependencies.

“Using Iguazio, we are revolutionizing the way we use data, by unifying real-time and historic data from different sources and rapidly deploying and monitoring complex AI models to improve patient outcomes and the City of Health’s efficiency”

Nathalie Bloch, MD
Head of Big Data & AI at Sheba Medical Center’s ARC innovation complex

“Joint customers of NetApp and Iguazio manage data at scale and run increasingly complex algorithms on that data. By making critical features available within their data science platform, adding ‘smart data’ with NetApp AI is simple. With easy access to features that are ready for use across the enterprise on any AI project, customers can develop and deploy these projects efficiently and accurately.”

Hoseb Dermanilian
Head of Global AI and Analytics Business Development

“With Iguazio’s feature store, MongoDB Atlas, our fully managed cloud database, can easily store features that are ready to use in machine and deep learning, making MLOps a reality. This refines the experience for both our advanced users, who are scaling AI, and those just starting out on their AI journey to innovate on top of an already powerful database.”

Boris Bialek
Global Head of Enterprise Modernization at MongoDB

“At Tredence, we serve leading Fortune 500 clients, who always expect rapid business value. Iguazio’s MLOps solution and built-in feature store enables the rapid development, deployment and management of AI applications across the enterprise, providing a competitive edge to clients looking to deploy innovative AI solutions in today’s cutthroat market”

Sumit Mehra
CTO and CO-Founder at Tredence

“Real time AI is critical to ad performance...Working with Iguazio enabled us to get our AI application up and running in a matter of weeks.”

Daniel Meehan
CEO of PadSquad

“At Tulipan, we use novel techniques to convert information into knowledge, taking a holistic approach to data. That’s why we were so happy when we came across Iguazio - Iguazio’s data science platform enables the unification of data from all types and sources, along with the development and rapid deployment of AI applications across use cases and environments. Now, Iguazio’s integrated feature store takes real-time data engineering to the next level of automation”

Santiago Gutiérrez
CEO at Tulipan

"Iguazio allowed us to unify and combine any data type to create real-time machine learning models with an out of the box data science toolkit. That to us was worth its weight in gold."

Jason Evans
Director of DXP Innovation

“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives”.

Yaron Weiss
VP Corporate Security and Global IT Operations