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The Cloud is Spectacularly Transforming the Manufacturing Sector

Smart Data Collective

We have talked about a number of changes that big data has created for the manufacturing sector. Cloud computing involves using a network of remote internet servers to store, manage, and process data, instead of using a local server on a personal computer. Can Improve Productivity.

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IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

Smart Data Collective

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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Top 10 IoT software development companies in the USA (2023)

Dataconomy

Established in 2015, the company has garnered recognition in the industry through its impressive portfolio, showcasing the expertise of its software professionals across varied verticals. With their expertise in technologies like AI, ML, computer vision, and big data, they deliver innovative and connected solutions for various industries.

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Top 6 Kubernetes use cases

IBM Journey to AI blog

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

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Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

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Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.