• Google Cloud named a leader in the 2024 Forrester Wave™: Data Lakehouses

    Updated: 2024-04-30 14:45:00
    : Data Analytics Google Cloud named a leader in the 2024 Forrester Wave™ : Data Lakehouses April 30, 2024 Irina Farooq Sr . Director , Product Management Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it To unlock the value of AI , organizations recognize that they need to combine their data and AI . That also means they need a simple way to manage the entire data-to-AI lifecycle . Tens of thousands of organizations already choose BigQuery and its integrated AI capabilities to power their data clouds . Today , we†re excited to announce that Google Cloud has been named a leader in The Forrester Wave™ : Data Lakehouses Q2 2024 report Forrester rated Google Cloud a score of 5 out of 5 across 15 different criteria — a testament to our vision and track

  • Ransomware Protection and Containment Strategies: Practical Guidance for Hardening and Protecting Infrastructure, Identities and Endpoints

    Updated: 2024-04-30 14:00:00
    : , Threat Intelligence Ransomware Protection and Containment Strategies : Practical Guidance for Hardening and Protecting Infrastructure , Identities and Endpoints April 30, 2024 Mandiant Written by : Matthew McWhirt,  Omar ElAhdan , Glenn Staniforth , Brian Meyer  Multi-faceted extortion via ransomware and or data theft is a popular end goal for attackers , representing a global threat targeting organizations in all industries . The impact of a successful ransomware event can be material to an organization , including the loss of access to data , systems , and prolonged operational outages . The potential downtime , coupled with unforeseen expenses for restoration , recovery , and implementation of new security processes and controls can be . overwhelming Since the initial launch of

  • Transform your telecom applications with multi-networking and Kubernetes

    Updated: 2024-04-29 16:00:00
    Telecommunications Transform your telecom applications with multi-networking and Kubernetes April 30, 2024 Ramesh Nagarajan Head , Network Modernization and Partnerships Vlad Moldoveanu Engineering Manager , GDC Solutions Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it Traditional Kubernetes networking excels at basic Pod-to-Pod connectivity , but can fall short when addressing the security , performance , and compliance demands of telecom workloads . This limits telecom providers†ability to fully leverage Kubernetes†scalability and agility . benefits Google Cloud's multi-networking approach empowers telecom providers to overcome these limitations , enabling capabilities such as but not limited : to Strict network : isolation Enforce regulatory compliance

  • Transforming customer feedback: analyzing audio customer reviews with BigQuery ML’s speech-to-text

    Updated: 2024-04-29 16:00:00
    Data Analytics Transforming customer feedback : analyzing audio customer reviews with BigQuery ML†s speech-to-text April 30, 2024 Nivedita Kumari Data Analytics Customer Engineer Michael Kilberry Head of Product AI ML , Data Analytics Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it BigQuery's integrated speech-to-text functionality offers a powerful tool for unlocking valuable insights hidden within audio data . This service transcribes audio files , such as customer review calls , into text format , making them ready for analysis within BigQuery's robust data platform . By combining speech-to-text with BigQuery's analytics capabilities , you can delve into customer sentiment , identify recurring product issues , and gain a better understanding of the voice

  • The power of choice: Simplifying your regulatory and compliance journey

    Updated: 2024-04-26 16:00:00
    : Security Identity The power of choice : Simplifying your regulatory and compliance journey April 27, 2024 Archana Ramamoorthy Senior Director , Product Management Matt Garr Group Product Manager , Google Cloud Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it At Google Cloud , we understand you have a diverse set of regulatory , compliance , and sovereignty needs.  We strive to provide you with the controls you need and the flexibility to meet your requirements . We offer a range of customizable control packages , so you can choose the level of control that best aligns with your risk tolerance and compliance needs . This flexibility allows you to tailor your approach with minimal tradeoffs . Additionally , we work closely with local partners in select

  • Ford achieves reductions in routine database management tasks using Google Cloud database services

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    Databases Ford achieves reductions in routine database management tasks using Google Cloud database services April 27, 2024 Nimisha Shah Director of Database Services , Enterprise Platform Engineering and Operations , Ford Motor . Co Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it Editor†s Note : The Ford Motor Company , one of the most recognizable auto brands in the world , recently updated its database strategy to modernize its workloads and focus on managed database services from Google Cloud . Ford has seen a large drop in the time spent on database-related operational tasks by managing databases in Google . Cloud Since 1903, Ford has been a household name when it comes to automotive innovation . From the first moving assembly line to the latest

  • Announcing PyTorch/XLA 2.3: Distributed training, dev improvements, and GPUs

    Updated: 2024-04-25 23:00:00
    AI Machine Learning Announcing PyTorch XLA 2.3 : Distributed training , dev improvements , and GPUs April 26, 2024 Nisha Mariam Johnson Product Manager Jack Cao Software Engineer Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it PyTorch's flexibility and dynamic nature make it a popular choice for deep learning researchers and practitioners . Developed by Google , XLA is a specialized compiler designed to optimize linear algebra computations – the foundation of deep learning models . PyTorch XLA offers the best of both worlds : the user experience and ecosystem advantages of PyTorch , with the compiler performance of XLA . PyTorch XLA stack diagram We are excited to launch PyTorch XLA 2.3 this week . The 2.3 release brings with it even more productivity ,

  • Modernization vs. migration for data workloads

    Updated: 2024-04-24 16:00:00
    . Databases Modernization vs . migration for data workloads April 25, 2024 Patrick Alexander Customer Engineer Try Gemini 1.5 Pro Google's most advanced multimodal model in Vertex AI Try it Cloud migration involves moving digital assets like data , apps , and infrastructure to a cloud environment . In particular , data and data platforms are essential for application , analytical , or AI ML workloads thus , it†s common to migrate existing data from other platforms , including on-premises or even other cloud providers . For most organizations , determining what to do with their data when moving it to a new platform is the first challenge.  Should you do a simple migration also known as lift-and-shift Or should you consider modernizing the platform and building an entirely new solution

  • GeeksforGeeks A computer science portal for geeks

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  • Python Flask Projects with Source Code Beginners to Advanced

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  • TypeScript Tutorial GeeksforGeeks

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  • WordPress Tutorial GeeksforGeeks

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  • Google Chrome Browser Installation Tips Tricks DevTools Guide

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  • Apple Safari Browser History Tips Tricks DevTools Guide

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  • Microsoft Edge Browser Installation Tips Tricks DevTools Guide

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  • Web Browser A Complete Overview GeeksforGeeks

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