All That Hype: Iguazio Listed in 7 Gartner Hype Cycles for 2021

We are proud to announce that Iguazio has been named a sample vendor in seven 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, Customer Experience Analytics, Financial Analytics and Hybrid Infrastructure Services, alongside industry leaders such as Google, IBM and Microsoft (who are also close partners of ours). Iguazio is listed under the following categories: MLOps, Feature Store, AI Orchestration and Automation Platform and Continuous Intelligence.

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.

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 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 Infrastructure Strategies, 2021 covers innovations and enhancements in infrastructure consumption models, automation/intelligence and architecture. 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 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.

The Hype Cycle for Customer Experience Analytics, 2021 examines the explosion of channels and digital interactions, as well as the volume and connections of diverse data types, driving a transformation in customer experiences.

The Hype Cycle for Financial Analytics, 2021 reviews the maturity and applicability of recent analytics innovations in the financial space, and evaluates trends like autonomous AI, augmented analytics and analytics enablement.

What Does Iguazio Bring to the Machine Learning and MLOps Space?

By 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.

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. 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). The platform's serverless architecture supports extreme performance at scale. The result is a powerful platform that abstracts away the complexities of MLOps and empowers enterprises to create real business impact with AI, across diverse use cases.

An example of this is our work with Ecolab which accelerated the rollout of new AI services by 12X using Iguazio on Microsoft Azure, alongside many other success stories from customers across verticals.

In addition to Iguazio being mentioned in these seven 2021 Gartner Hype Cycles, Iguazio was also mentioned in five Gartner Hype Cycles in 2020, and earlier this year received an honorable mention in the Gartner 2021 Magic Quadrant for Data Science and ML Platforms, for the second year in a row.

To learn more about the Iguazio Platform, or to find out how we can help you bring your data science to life, contact our experts.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.