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.




Bringing Data Science to Life

Future of AI Fall 2020 Iguazio

AI and ML practices are no longer the luxury of research institutes or technology giants, they are becoming an integral part of any modern business application. According to industry analysts, most organizations fail to successfully deliver AI-based applications and are stuck in the process of turning data-science models, which were tested on sample or historical data, into interactive applications which work with real-world and large-scale data.





Financial Services

From mitigating risks proactively, to creating personalised customer services, Iguazio help Financial Services harness the power of AI to create differentiation and transform their bottom line




The Iguazio Data Science Platform for Telecommunications enables you to develop, deploy and manage AI applications at scale, transforming AI projects into real-world business outcomes




AI is revolutionising the manufacturing industry, resulting in great advancements and gains in quality, productivity and cost reduction. Innovative manufacturers that embrace AI are transforming the way they do business




From determining ways to reach the right customers with the right message at the right time, to ensuring efficiency across distribution channels, Iguazio can help use AI to create differentiation strategies that make a difference



Ad-tech & Gaming

Get a better understanding of your users by leveraging AI and real-time data. Anticipate their next move to reduce churn, increase engagement and provide the best user experience possible




Iguazio and ARC Innovation Center, are revolutionising the way the healthcare sector uses data by rapidly developing, deploying and monitoring complex AI applications to improve patient outcomes and operational efficiency





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Machine Learning Operations

Machine learning operations (MLOps) is the practice of efficiently developing, testing, deploying, and maintaining machine learning (ML) applications in production. MLOps automates and monitors the entire machine learning lifecycle and enables seamless collaboration across teams, resulting in faster time to production and reproducible results.



Industrializing Enterprise AI with the Right Platform

Iguazio and NVIDIA discuss how enterprises need a platform that brings together tools to streamline data science workflow with leading edge infrastructure that can tackle the most complex ML models — one that can bring innovative concepts into production sooner, integrated within your existing IT/DevOps-grounded approach.



Introducing the Platform

The Iguazio Data Science Platform ("the platform") is a fully integrated and secure data science platform as a service (PaaS), which simplifies development, accelerates performance, facilitates collaboration, and addresses operational challenges.





Nehmen Sie Kontakt mit uns auf, um die passende Lösung für Sie persönlich zu besprechen.

+49 (0) 89 9090 199-3


Test out any of our solutions at Boston Labs

To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available

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Business FENWAY-Server im Einsatz: Windows Serverlösungen für Cloud und On-Premises Umgebungen


Business FENWAY-Server im Einsatz: Windows Serverlösungen für Cloud und On-Premises Umgebungen | 30th - 30th September 2022, Online

Am 30.09.2022 um 10:00 Uhr zeigen wir Ihnen in unserem nächsten Boston Tech-Update die neuesten Entwicklungen bei Boston seitens Microsoft und den Windows Serverlösungen, die für den Cloud wie auch On Premises-Bereich geeignet sind.

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