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Review: Google Cloud Vertex AI irons out ML platform wrinkles

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When I reviewed the Google Cloud AI and Machine Learning Platform last November, I noted a few gaps despite Google having one of the largest machine learning stacks in the industry, and mentioned that too many of the services offered were still in beta test. I went on to say that nobody ever gets fired for choosing Google AI. This May, Google shook up its AI/ML platform by introducing Vertex AI, which it says unifies and streamlines its AI and ML offerings. Specifically, Vertex AI is supposed to simplify the process of building and deploying machine learning models at scale and require fewer lines of code to train a model than other systems. Google's summary is that Vertex AI brings Google Cloud AutoML and Google Cloud AI and Machine Learning Platform together into a unified API, client library, and user interface.



Machine Learning With Google Cloud - AI Summary

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From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity." However, being acutely aware of the concerns around intelligent technology, the company's AI research division Google Brain recently published an AI Precision Safety whitepaper. Powerful Infrastructure Underpinning all of these projects, as well as the company's flagship Search, Translate and Youtube products is Google Cloud Platform, providing developers with the tools to build a range of programs from simple websites to complex, intelligent applications. As part of our AI in Business Festival, we spoke to Miles Ward, Global Head of Solutions at Google Cloud Platform, to find out more about the machine learning tools they offer to developers. From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity."


Discover how you can innovate anywhere with Azure Arc

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Welcome to Azure Hybrid, Multicloud, and Edge Day--please join us for the digital event. Today, we're sharing how Azure Arc extends Azure platform capabilities to datacenters, edge, and multicloud environments through an impactful, 90-minute lineup of keynotes, breakouts, and technical sessions available live and on-demand. Now you can build, train, and deploy your machine learning models right where the data lives, such as your new or existing hardware and IoT devices. When I talk with customers, one of the things I hear most frequently is how new cloud-based applications drive business forward. And as these new applications are built, they need to take full advantage of the agility, efficiency, and speed of cloud innovation. However, not all applications and infrastructure they run on can physically reside in the cloud.


Vendor-agnostic Setup for Running ML & DL Experiments with GPU Support

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. With many emerging solutions like AWS Sagemaker, Microsoft Azure Machine Learning Studio, Google Cloud AI Platform, etc, It can be overwhelming to choose a solution given the cost constraint and use case.


C3 AI Named Google Cloud Technology Partner of the Year for AI and Machine Learning

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C3 AI, the Enterprise AI application software company, announced it has been awarded the Google Cloud Technology Partner of the Year in the artificial intelligence and machine learning category for 2021. C3 AI has been recognized for achievements in the Google Cloud ecosystem, including helping cross-industry customers accelerate the deployment of Enterprise AI applications. "We're proud to recognize C3 AI as our Technology Partner of the Year for AI and Machine Learning, and we look forward to continuing our work together building and creating business value for customers with cloud technologies." "Our team is honored to be selected as a Google Cloud Technology Partner of the Year award winner," said Ed Abbo, C3 AI president and chief technology officer. "C3 AI and Google Cloud are fully aligned to unlock customer value by accelerating delivery and operation of innovative industry-specific AI applications."


The One with End-to-End MLOps Infrastructures

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These are fully managed, commercial services offered by a variety of cloud platforms such as Amazon SageMaker (based on AWS), Microsoft Azure, Google Cloud Platform (GCP) etc. which provide the developers the ability to build, train, and deploy ML models efficiently and effectively. In this blog, we learnt about the existing commercial infrastructures which offer an end-to-end support for building, maintaining, and automating your ML pipelines. However, often these systems come with some unprecedented costs and maintenance efforts that can exponentially increase over time. Hence, in the next blogs, we introduce two other ways of using MLOps infrastructures, which can be used if you're looking for some level of customisation.


The Top IoT Integrators You Should Know About - IoT Worlds

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If you're looking for a way to connect your devices and data, then you need to know about the top IoT integrators. These platforms offer a variety of services that make it easy to manage and monitor your information. From Amazon Web Services to IBM Watson IoT, 2smart and Google Cloud IoT mainly, there's an IoT (Internet of Things) platform that can meet your needs. The internet of things (IoT) is becoming more and more prevalent in today's society. Businesses and individuals are always looking for ways to make their lives easier and more connected.


How long does it take to calculate 100 trillion digits of pi? Ask Google

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For thousands of years, mathematicians and scientists have worked on calculating the digits of pi -- a project that could literally go on forever. For now, we at least know the first 100 trillion digits of pi, thanks to a project at Google. You can view the entire sequence of numbers on this demo site. Google Cloud's Developer Advocate Emma Haruka Iwao has set a new world record for calculating the most digits of pi, using Google Cloud infrastructure to determine that the 100-trillionth decimal place of pi is 0. The project took her just under 158 days and some serious computing power. Iwao's record beat the 2021 record set by scientists at the University of Applied Sciences of the Grisons, who calculated the mathematical constant to 62.8 trillion decimal places.


Leviton Selects Esker Cloud Solution to Automate Its Order Management Process

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Esker, a global cloud platform and leader in AI-driven process automation solutions for finance and customer service functions, announced that Leviton Manufacturing Co., Inc. ("Leviton"), America's most widely used electrical wiring device brand, is automating its order management process with Esker. "In terms of scalability as a cloud solution, its integration with Oracle and the AI capabilities built into the system, Esker was identified as a clear match for our priorities moving forward" Leviton offers a full portfolio of electrical devices including smart switches and dimmers, outlets, fiber and copper cabling systems, lighting products and more. To expand its growth and continue to pursue opportunities in new markets, Leviton initiated a review of its internal business operations for modernization opportunities. This facilitated the company to replace its legacy ERP with Oracle E-Business Suite (EBS) ERP solution; however, its digital transformation efforts were just beginning. Most recently, Leviton determined a need to update its order management process as well -- with Esker's Order Management solution proving to be a good fit.