The platform's serverless architecture supports extreme performance at scale.
It includes a unified architecture for real-time and batch processing in research and production, as well as hybrid deployment capabilities (multi-cloud, on-premises and edge).
#GARTNER HYPE CYCLE AI OFFLINE#
Iguazio has a strong competitive advantage in the MLOps space due to its built-in online and offline feature store, integrated model serving and model monitoring capabilities. The Hype Cycle for Hybrid Infrastructure Services, 2021 evaluates the maturity of hybrid infrastructure services as they remain highly focused around cloud and IT services, with growing complexity and change What Does Iguazio Bring to the Machine Learning and MLOps Space?īy marrying a strong data engineering infrastructure with cutting-edge ML orchestration and pipeline automation capabilities, Iguazio simplifies the challenges of MLOps for enterprises, enabling organizations to work in a production-ready environment, fostering closer collaboration between data scientists, data engineers and DevOps teams and facilitating faster deployment of AI to production with better resource utilization. The report includes a look at net zero data centers, the disruptions and opportunities of containers and cloud delivery, and the maturity of software-defined innovations. The Hype Cycle for Infrastructure Strategies, 2021 covers innovations and enhancements in infrastructure consumption models, automation/intelligence and architecture. The Hype Cycle for Analytics and Business Intelligence, 2021 evaluates the maturity of innovations across the ABI space, including consumer-focused augmented analytics, composability of D&A ecosystems, and the governance and education required to execute a variety of analytics at scale. The Hype Cycle for Artificial Intelligence, 2021 takes a look at the acceleration of AI as more enterprises embrace digital transformation of their core operations, and how leaders can successfully navigate AI-specific innovations that are in various phases of maturation, adoption and hype. The Hype Cycle for Data Science and Machine Learning, 2021 analyzes how accelerated digitization is driving the urgency to productize experimental data science and machine learning initiatives, and assesses the evolution of existing and emerging trends to orchestrate and productize DSML. Iguazio is listed under the following categories: MLOps, Feature Store, AI Orchestration and Automation Platform and Continuous Intelligence. We are proud to announce that Iguazio has been named a sample vendor in five 2021 Gartner Hype Cycles, including the Hype Cycle for Data Science and Machine Learning, the Hype Cycle for Artificial intelligence, Analytics and Business Intelligence, Infrastructure Strategies and Hybrid Infrastructure Services, alongside industry leaders such as Google, IBM and Microsoft (who are also close partners of ours).