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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!

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Recapping the Cloud Amplifier and Snowflake Demo

Towards AI

Last Updated on January 29, 2024 by Editorial Team Author(s): Cassidy Hilton Originally published on Towards AI. Recapping the Cloud Amplifier and Snowflake Demo The combined power of Snowflake and Domo’s Cloud Amplifier is the best-kept secret in data management right now — and we’re reaching new heights every day.

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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

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The best way to start an AI project? Don’t think about the models

Flipboard

Did you know that 85% of all AI projects fail to reach the production or operation stage ? It’s very common for businesses to come up with creative ideas to use AI to improve customer experience or simplify workflows. But, as we’ve seen with OpenAI’s new ChatGPT, AI can be as entertaining as it can be problematic.

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Top 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

Artificial intelligence (AI) is rapidly transforming our world, and AI conferences are a great way to stay up to date on the latest trends and developments in this exciting field. The 2023 edition of Big Data & AI Toronto will be held on October 18-19, 2023 at the Metro Toronto Convention Centre.

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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning Blog

With the integration of SageMaker and Amazon DataZone, it enables collaboration between ML builders and data engineers for building ML use cases. ML builders can request access to data published by data engineers. Additionally, this solution uses Amazon DataZone. intended_uses="Not used except this test.",

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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

Flipboard

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. The following screenshot illustrates the SageMaker Unified Studio.

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