The notions of collaborative innovation, openness and portability are driving enterprises to embrace open source technologies. Anyone can download and install Kubernetes, Jupyter, Spark, TensorFlow and Pytorch to run machine learning applications, but making these applications enterprise grade is a whole different story.
It's a wrap! We had a full house at MLOps NYC, Iguazio's annual conference about managing and automating machine learning pipelines in order to bring data science into business applications. With an outstanding caliber of speakers and audience, the MLOps conference went beyond theory, shedding light on painful and successful machine learning experiences which involve...
Let’s explore the complexity and vulnerability of IT infrastructure and how to build a modern IT infrastructure monitoring solution, using a combination of time series databases with machine learning.
Ever wonder if it’s possible to train machine learning (ML) models with regulated data which can’t be sent to the cloud? Has your edge solution gathered so much data that it just doesn’t make sense to send it all to
the cloud?
2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.