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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. The conference features talks from practitioners and open-source leaders from the ecosystem from Netflix, Microsoft, Expedia, AWS, and Preset.

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Cloud Data Lakes - The Keystone to the Decade of Data

Tom Tunguz

Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. Cloud data lakes are a key technology enabling the innovation in analytics and machine learning. This time, the conference will build on the foundation from last year’s event. Data engines query the data rapidly, inexpensively.

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Top 10 Trends for Data in 2024

Tom Tunguz

Whether it’s data being used inside applications, feeding machine learning models, or downstream analysis, companies are increasingly reliant on this data, and that’s not changing. 80% of data is unstructured within organizations.

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AWS beefs up SageMaker machine learning

IT World

Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning toolkit to address a number of challenges that enterprises confront when trying to operationalize machine learning, from model organization, training, and optimization to monitoring the performance of models in production.

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The Innovations Free Compute and Storage Unleash

Tom Tunguz

AWS has decreased prices for EC2, elastic compute cloud, and S3, simple storage service, 42 times in eight years. The first manifestation of large scale, near-free compute I’ve seen is in machine learning. When I worked at Google in 2005, we would test individual machine learning models one or two at a time.

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Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

And if you think about AWS, if you think about the rise of cloud data warehousing, that is a big technology change and a big game changer for a lot of companies. Instead of being automated out of his job, he’s now leveraging machine learning to help him do his job better and increasing his value to the company.

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Best Examples of AI in Marketing: Tools & Best Practices

User Pilot

TL;DR AI marketing involves leveraging AI technologies like machine learning, deep learning, etc., There are four groups of marketing AI apps today: standalone machine learning, standalone task automation, integrated machine learning, and integrated task automation apps. AI-powered marketing tools.