Mona Named a ‘Cool Vendor’ in the 2021 Gartner ‘Cool Vendors in Enterprise AI Operationalization and Engineering’ Report
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AI monitoring has emerged as a critical component in the MLOps stack, enabling companies to sustain the value of their AI/ML investments through continuous performance visibility. ATLANTA (PRWEB) May 25, 2021 Mona, the leading AI monitoring company, today announced it has been named a Cool Vendor in the 2021 Gartner ‘Cool Vendors in Enterprise AI Operationalization and Engineering report (1). The Mona platform helps AI teams continuously optimize their production environments through real-time visibility into data and model performance.
“The recognition as a Gartner Cool Vendor gives our team great pride”, said Yotam Oren, co-founder and CEO of Mona. “Gartner research validates the emergence of AI monitoring, as a critical component of the MLOps stack”.
Google launches Vertex AI platform to help companies adopt machine learning operations
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Google LLC is helping companies embrace the idea of what’s known as machine learning operations with the launch of a new managed platform today that it says will accelerate the deployment and maintenance of artificial intelligence models.
MLOps is to machine learning what DevOps is to application development. With MLOps, the idea is to add discipline to the development and deployment of machine learning models by defining processes that make machine learning development more reliable and productive.
The discipline brings together all of the engineering pieces that are required to deploy, run and train AI models. That includes steps such as data collection, data verification, feature engineering, resource management, configuration, model analysis and so on.
AI here, there and everywhere
Richard Speed Tue 11 May 2021 // 17:58 UTC Share
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Think IBM s latest attempt at relevance in the cloud world continued at its Think conference by giving its Cloud Pak for Data another beating with the AI stick and unleashing Watson on IT pros. AutoSQL with Cloud Pak for Data
The IBM Cloud Pak for Data turned up three years ago and was geared towards collecting and organising data for AI analysis. Aimed at pretty much any hybrid cloud environment, Big Blue targeted enterprises with a need to bring diverse data together and make sense of it all.
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The business world is changing. Has changed. The COVID-19 pandemic drove companies to transform three times faster in 2020 than in previous years, with 66% shifting to more cloud-based business activities. As enterprise clients undergo rapid change in a turbulent business environment, they need guidance. They may find it at the upcoming IBM Think 2021 virtual event, which promises to teach attendees how to “navigate change through transformation, automation and modernization.”
Business resiliency is the number one attribute required to thrive in the post-pandemic economy, according to market intelligence gathered by International Data Corp. Cloud provides the flexibility to scale operations up and down, allowing businesses to adapt fast to market changes. Add artificial intelligence and machine learning to the cloud model, and the ability to analyze incoming data provides a business with the insights it needs to make course corrections and stay competitive. Yet, w