AI

Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas | Amazon Web Services
28 Oct

Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas | Amazon Web Services

stp2y0 CommentsAI
In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. This post presents an architectural approach to extract data from different cloud environments, such as Google Cloud Platform (GCP) BigQuery, without the need for data movement. This minimizes the complexity and overhead associated with moving data between cloud environments, enabling organizations to access and utilize their disparate data assets for ML projects. We highlight the process of using Amazon Athena Federated Query to extract data from…
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Balancing innovation and safety with Karanveer Anand
28 Oct

Balancing innovation and safety with Karanveer Anand

stp2y0 CommentsAI
In the latest episode of The Generative AI Podcast, host Arsenii Shatokhin sat down with Karanveer Anand, a Technical Program Manager at Google, to explore how AI is reshaping the field of program management. They dove into everything from the role of AI in cloud computing to the evolving balance between AI innovation and safety. If you're curious about how AI is influencing the future of technical program management, this discussion is a must-listen.Catch the full episode right here. Why AI enthusiasts should careAI is no longer just a buzzword; it's becoming a critical part of how businesses operate, making…
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Customized model monitoring for near real-time batch inference with Amazon SageMaker | Amazon Web Services
28 Oct

Customized model monitoring for near real-time batch inference with Amazon SageMaker | Amazon Web Services

stp2y0 CommentsAI
Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. In these scenarios, customized model monitoring for near real-time batch inference with Amazon SageMaker is essential, making sure the quality of predictions is continuously monitored and any deviations are promptly detected. In this post, we present a framework to customize the use of Amazon SageMaker Model Monitor for handling multi-payload inference requests for near real-time inference scenarios. SageMaker…
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Apple Intelligence Isn’t Ready to Wow You—Yet
28 Oct

Apple Intelligence Isn’t Ready to Wow You—Yet

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So what can you do right now? Let's start with Writing Tools, which helps to you Rewrite, Proofread, or Summarize text wherever you are in the operating system. Rewrite changes the sentence's tone from casual to professional, for example, while Proofread fixes typos and improves grammar. Too bad it's nearly impossible to remember this feature exists because it only shows up when you highlight words. Perhaps Writing Tools would be better as a little button built into the virtual keyboard.You can type to Siri now, though this is technically not new. Previously this was an accessibility setting, which Apple has…
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28 Oct

DigitalBridge to Acquire Yondr Group

stp2y0 CommentsAI
Strategic Investment to Accelerate Global Hyperscale Data Center Growth to Meet Unprecedented AI Demand DigitalBridge Group, Inc. (NYSE: DBRG) (“DigitalBridge”), a leading global alternative asset manager dedicated to investing in digital infrastructure, today announced it has reached an agreement to acquire Yondr Group (“Yondr”), a global developer and operator of hyperscale data centers, through one of its managed investment funds (the “DigitalBridge Fund”). Yondr has established itself as a key player in the digital infrastructure sector, addressing the complex data center capacity demands of the world’s largest technology companies through the development and operation of sustainable data centers worldwide. With a…
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28 Oct

Chindata Group Unveils AI Data Center Total Solution 2.0

stp2y0 CommentsAI
Chindata Group officially unveiled its latest innovation, the AI Data Center Total Solution 2.0, at the 2024 China Computing Power Conference. Designed to meet the growing demands of artificial intelligence (AI) workloads, the solution addresses critical challenges such as high-density cabinets, hyperscale facilities, and heterogeneous computing environments. The launch took place during the Data Center Technology Innovation and Transformation Forum, co-hosted by Chindata Group and the China Academy of Information and Communications Technology (CAICT). Held at the same conference, the forum brought together industry leaders from CAICT, China Telecom, Intel, Baidu, Alibaba Cloud, Inspur, Seagate Technology, and others to explore the…
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