AWS Startups Blog

Category: SageMaker

How OAG Analytics Leverages AI and Machine Learning to Optimize the Profitability of Oil and Gas Wells

In 2013, Luther Birdzell formed OAG Analytics to create an AI platform that enables oil and gas companies to use more of their data to help solve critical problems like well spacing. Today, the OAG-Amazon SageMaker integration enables customers to unify their datasets and create proprietary analyses using virtually unlimited compute.

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Studio71 Leverages AI and Machine Learning to Navigate Influencer Marketing

It’s an understatement to say that the influencer marketing space is highly complex. New influencers, new types of content, and new ways to post and promote said content seem to pop up daily. Studio71, the LA-based digital network I joined seven years ago, has always been a great partner for brands to help them navigate the influencer marketing space.

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MyCelebs Builds an ML Solution with Amazon SageMaker to Provide Immediate Opportunities to Monetize Artificial Intelligence

The travel industry is quickly changing to adopt artificial intelligence (AI). However, it has yet to make effective use of the rich data that the industry has accumulated over the years. As a solution, MyCelebs—a global AI agency that prides itself on the strength of its pragmatic, efficient, and business-ready approach to AI transformation—provides a collaborative opinion recommendation service engine.

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Fiverr Relies on SageMaker to Streamline and Simplify Machine Learning Models

When it came time for Fiverr to analyze the data around user behavior on its platform, the freelance services website did what many modern businesses do in terms of recruiting the right tool for the task: they engaged Amazon Web Services’s SageMaker. Amazon SageMaker is an API that enables developers and data scientists to readily build, teach, and position machine learning models to serve any need and at any scale.

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