Download PDF
Iguazio
Overview
HQ Location
Israel
Year Founded
2014
Company Type
Private
Revenue
$10-100m
Employees
51 - 200
Website
Twitter Handle
Company Description
Data science is too important to today’s businesses to be held back by delays and inefficiencies. Iguazio was created to remove the obstacles preventing data science from seeing the light of day, helping teams seamlessly implement their creations into business applications and make game-changing impact on their industry.
IoT Solutions
THE IGUAZIO DATA SCIENCE PLATFORM POWERS End-to-End Machine Learning Pipelines, automates and accelerates complete machine learning workflows, cutting the time to impact of your data science creations.
IoT Snapshot
Iguazio is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the finance and insurance, retail, and telecommunications industries.
Technology Stack
Iguazio’s Technology Stack maps Iguazio’s participation in the platform as a service (paas), and analytics and modeling IoT Technology stack.
-
Devices Layer
-
Edge Layer
-
Cloud Layer
-
Application Layer
-
Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
HCI’s Journey to MLOps Efficiency: A Case Study
Home Credit International (HCI), a global consumer financial provider, recognized the potential of Machine Learning (ML) models in financial institutions, particularly in risk-related use cases. However, they faced challenges in deploying ML models efficiently. The time to delivery was long and access to data was limited. HCI’s internal research revealed that nearly 80% of the time spent on data science-related tasks was dedicated to collecting datasets and cleaning and organizing the data, leaving only about 20% of the time for core tasks like building training sets, mining data, and refining algorithms. In 2021, the average delivery time of an AI initiative, from prototype to production, was more than seven months. The biggest blocker for more efficient use of AI/ML was access to data, followed by the need for a proper AI/ML environment.
Similar Suppliers.
Supplier
C3 IoT
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009
Supplier
Altair
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Supplier
Cloudera
Cloudera delivers an Enterprise Data Cloud for any data, anywhere, from the Edge to AI.Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Today, Cloudera has more than 1,600 employees. They have offices in 24 countries around the globe, with their headquarters in Palo Alto, California.