In the last 12 months, there have been myriad developments in machine learning (ML) tools and applications, and hardware for AI and ML is also progressing. Google’s TPUs are in their third generation, the AWS Inferentia chip is a year old, Intel’s Nervana Neural Network Processors are enabling deep learning, and Microsoft is reportedly developing its own custom AI hardware.
This year, Algorithmia has had conversations with thousands of companies in various stages of machine learning maturity. From them they developed hypotheses about the state of machine learning in the enterprise, and in October, they decided to test those hypotheses. Building on the State of Enterprise Machine Learning report they
published in 2018, they conducted a new two-prong survey this year, polling nearly 750 business decision makers across all industries from companies actively developing machine learning lifecycles or just beginning their machine learning journey.
Algorithmia seeks to empower every organization to achieve its full potential through the use of artificial intelligence and machine learning by delivering the last-mile solution for model deployment at scale.
Download this thought-provoking whitepaper today to find out more!
In the last 12 months, there have been myriad developments in machine learning (ML) tools and applications, and hardware for AI and ML is also progressing. Google’s TPUs are in their third generation, the AWS Inferentia chip is a year old, Intel’s Nervana Neural Network Processors are enabling deep learning, and Microsoft is reportedly developing its own custom AI hardware.
This year, Algorithmia has had conversations with thousands of companies in various stages of machine learning maturity. From them they developed hypotheses about the state of machine learning in the enterprise, and in October, they decided to test those hypotheses. Building on the State of Enterprise Machine Learning report they
published in 2018, they conducted a new two-prong survey this year, polling nearly 750 business decision makers across all industries from companies actively developing machine learning lifecycles or just beginning their machine learning journey.
Algorithmia seeks to empower every organization to achieve its full potential through the use of artificial intelligence and machine learning by delivering the last-mile solution for model deployment at scale.
Download this thought-provoking whitepaper today to find out more!