Source: Don’t look now, but object stores – those vast repositories of data sitting behind an S3 API – are beginning to resemble databases. They’re obviously still separate categories today, but as the next-generation data architecture takes shape to solve emerging real-time data processing and machine learning challenges, the lines separating things like object stores, Read More
Category: Google Cloud AutoML
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Source: enterprisersproject.com Digital transformation and analytics are nearly inseparable. “At the core of any successful digital transformation is the ability to leverage the company’s data assets to drive superior customer experiences, products and services as well as operating model efficiencies,” says Scott Snyder, a Digital and Innovation Partner with Heidrick & Struggles, and co-author of “Goliath’s Revenge: Read More
Source: infoq.com In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility. With Cloud AI Pipelines, Google can help organizations adopt the practice of Machine Learning Operations, also known as MLOps – a term for Read More
Source: nextplatform.com (Sponsored Content) HPC workloads are rapidly moving to the cloud. Market sizing from HPC analyst firm Hyperion Research shows a dramatic 60 percent rise in cloud spending from just under $2.5 billion in 2018 to approximately $4 billion in 2019 and projects HPC cloud revenue will reach $7.4 billion in 2023, a 24.6 percent compound annual Read More
Source: venturebeat.com Google today announced the beta launch of Cloud AI Platform Pipelines, a service designed to deploy robust, repeatable AI pipelines along with monitoring, auditing, version tracking, and reproducibility in the cloud. Google’s pitching it as a way to deliver an “easy to install” secure execution environment for machine learning workflows, which could reduce the Read More
Source: crn.com.au Google partner Servian has revealed that it was behind “Monty”, an AI tool Fox Sports used to predict when wickets would fall during cricket matches, and has already delivered an upgrade to the tool. Monty was developed in 2019 and works by using historical data from previous matches as well as live data, Read More
Source: venturebeat.com Artificial intelligence garnered a lot of attention from the usual players — governments, tech giants, and academics — throughout 2019. But it was also a big year for business AI, with even more growth expected ahead. In a March KPMG survey, more than half of business executives said their company would implement enterprise-scale AI Read More
Source: venturebeat.com Earlier this year, Google took the wraps off of AutoML Natural Language, an extension of its Cloud AutoML machine learning platform to the natural language processing domain. After a months-long beta, AutoML today launched in general availability for customers globally, with support for tasks like classification, sentiment analysis, and entity extraction, as well as a Read More
Source: infoq.com In a recent blog post, Google announced enhancements to a part of its Vision AI portfolio – AutoML Vision Edge, AutoML Video, and the Video Intelligence API each received updates to enhance their capabilities. Both AutoML Vision Edge and AutoML Video were both introduced earlier this year, in April, as a part of Read More
Source: pesmedia.com With the industry in the midst of a skills shortage, businesses are struggling to fill the gap. Here Ramya Sriram, digital content manager of online platform for freelance scientists Kolabtree, discusses the rise of the citizen data scientist. The incessancy of big data shows no sign of slowing down – so much so that if Read More
Source:- marktechpost.com For some years, Artificial Intelligence (AI) and Machine Learning (ML) becoming part and parcel of modern business solutions. While both of these technologies are making huge strides by helping businesses with intelligent means to address customer demands, these technologies are also going through a rapid transformation. Incorporating AI and Machine Learning capabilities into modern Read More