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Machine Learning at scale: first impressions of Kubeflow

OpenCredo

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Google Cloud Platform Overview.

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Pega GenAI brings more LLMs to low-code automation workflows

CIO

Pegasystems has announced plans to expand the capabilities of its Pega GenAI enterprise platform by connecting to both Amazon Web Services (AWS) and Google Cloud large language models (LLMs).

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AES enlists AI to boost its sustainable energy business

CIO

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

Energy 193
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How the C-Suite Can Champion Sustainability Across the Enterprise

CIO

In fact, more than 3,200 companies have set science-based carbon targets , and thousands of companies from around the world are pledging to reach net-zero emissions by either 2040 or 2050. Cloud is key to enabling and accelerating that transformation,” said Justin Keeble, managing director of global sustainability at Google Cloud. “As

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Reducing financial risks of climate change with advanced data and modeling 

Capgemini

Reducing financial risks of climate change with advanced data and modeling Franco Amalfi 22 Jan 2025 Facebook Twitter Linkedin Capgemini Business for Planet Modeling uses the intelligence of Google Cloud capabilities to assess the impact of climate change on corporate financials and accelerate sustainable growth. trillion and $3.1