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Navigating tomorrow: Role of AI and ML in information technology

Dataconomy

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

ML 121
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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

AWS 89
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Top 10 Generative AI Companies Revealed

Towards AI

Unlearn.AI 👉Industry domain: AI, Health Tech, Generative AI 👉Location: 2 offices 👉Year founded: 2017 👉Programming languages deployed: CircleCI, GraphQL, Jupyter, NoSQL, Node.js, Java, C++, AWS, CSS, Pandas 👉Benefits: Hybrid work model, vision insurance, virtual coaching services, promotions within the organization, (..)

AI 110
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This AI newsletter is all you need #63

Towards AI

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. The WeatherBench 2 dataset aims to enhance ML research in weather forecasting. What Will Replace Them?

AI 105
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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

AWS 133
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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.