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 and find the best way to get their message to the right audience, and today we’re launching new tools to using artificial intelligence and machine learning powered by our new Arrow Intelligence Platform and Amazon Web Services.

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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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Leveraging AI and Amazon SageMaker to Streamline Business Accounting Practices

Since CANDIS manages a service center of trained professionals that extract data from uploaded documents and annotate them with relevant financial metadata, our data scientists had access to a growing dataset they can experiment with. After confirming that initial prototypes of the extraction modules exhibited satisfactory performance, the team faced the challenge of deploying these to production and making them available to the user base.

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How Auris leveraged AWS SageMaker to help marketers with machine learning

When we started GenY Labs a couple of years ago, infrastructure was one of the biggest challenges for us. It wasn’t easy to find machine learning-tuned hardware. Even if we did identify an infrastructure service provider, the challenge was the ability to change the algorithm on their platform. With ambition and fire in the belly, our team at GenY Labs set out to solve this problem.

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Periscope Data Builds ML Solution With Amazon SageMaker to Provide Customers with a Better Picture of the World

When it comes to transforming floods of raw data into clear, decisive business intelligence, Periscope Data remains on the cutting edge. To keep their commitment to their consumers, Periscope Data has developed a machine learning solution that leverages Amazon SageMaker as a core part of its machine learning workflow.

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