Towards AI

SEPTEMBER 5, 2023

Although Google remains a distant third in the infrastructure-as-a-service/platform-as-a-service race, Google is adopting a long-term strategy and heavily investing in AI as a key driver of its cloud computing future. Five 5-minute reads/videos to keep you learning Transformers Revolutionized AI. What Will Replace Them?

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Dataconomy

APRIL 4, 2024

In 2017, some researchers published a seminal paper called, “Attention is all you need.” Hardware is everywhere : GPUs from gaming, Apple’s M-series chips and cloud computing make immense computing resources trivially easy to deploy. You no longer need to buy and install software. Anyone with a browser can try it.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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Heartbeat

DECEMBER 4, 2023

For this reason, multiple software, hardware, and even off-machine solutions such as cloud computing have been made a staple. arXiv preprint arXiv:1704.04861 (2017). Phones and other mobile devices have become more powerful as the need to leverage more processing power for consumer devices has gained traction.

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IBM Journey to AI blog

MAY 26, 2023

Cloud is transforming the way life sciences organizations are doing business. Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability.

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AWS Machine Learning Blog

MARCH 14, 2024

Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models. They also require ample computational resources like advanced hardware and cloud computing capabilities to run complex FMs.

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DrivenData Labs

DECEMBER 11, 2024

A number of breakthroughs are enabling this progress, and here are a few key ones: Compute and storage - The increased availability of cloud compute and storage has made it easier and cheaper to get the compute resources organizations need.

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Mlearning.ai

AUGUST 6, 2023

That was in 2017. I also learnt about cloud computing, specifically, AWS. Here, we share our datasets as well as acquire additional compute resources. I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning.

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Heartbeat

OCTOBER 9, 2023

Web-based platforms, mobile applications, and cloud computing advancements will allow a broader audience to participate in virtual heritage experiences, regardless of physical location or technological expertise. Finally, computer vision has evolved as a strong tool for preserving, documenting, and exploring our cultural legacy.

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Explosion

APRIL 1, 2017

— Richard Socher (@RichardSocher) March 10, 2017 The problem is that there’s any number of “structures” that an unsupervised algorithm might recover. This challenges the current trends towards thin clients and centralised cloud computing, and is one of many reasons to bet against Machine Learning as a Service.

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Data Science Blog

MARCH 14, 2023

Cloud Computing , erst mit den Infrastructure as a Service (IaaS) Angeboten von Amazon, Microsoft und Google, wurde zum Enabler für schnelle, flexible Big Data Architekturen. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

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Flipboard

MAY 17, 2023

You wrote a famous article in 2017, “ The Seven Deadly Sins of AI Prediction. “ My understanding is that Microsoft’s initial investment was in time on the cloud computing rather than hard, cold cash. Will companies marketing large language models every justify the enormous valuations some of these companies are now enjoying?

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O'Reilly Media

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. What are now-gigantic companies to do when their immense market capitalization depends on rapid growth and the expectation of growing profits to match? These companies did continue to innovate.

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Dataconomy

MARCH 19, 2025

Edge computing TPUs facilitate advancements in edge computing by providing real-time processing capabilities, essential for applications requiring low latency. This allows devices at the edge of networks to analyze and act on data promptly, improving responsiveness and operational efficiency.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

Implication: The strong revenue growth, particularly in AWS and advertising, highlights Amazon’s diversified revenue streams and the growth opportunities in cloud computing and digital advertising. It’s 2017, 2017 Ford Fusion. My name is Violet Vviolet. My last name is King King. Ok, I got the call last week.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Daniel Sánchez is a senior generative AI strategist based in Mexico City with over 10 years of experience in cloud computing, specializing in machine learning and data analytics. Since joining in 2017, he’s worked with startups and global customers to build innovative solutions using AI on AWS.

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