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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. Various roles in your organization, like data scientists, data engineers, application developers, and business analysts, can access data with their choice of analytic tools and frameworks.

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Top 10 Trends for Data in 2024

Tom Tunguz

Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints. 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.

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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. Data engines query the data rapidly, inexpensively. Data quality companies monitor pipelines and alert when anomalies appear.

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Payment and Checkout Scalability for D2C Gaming Partners

FastSpring

FastSpring continuously monitors transaction flow via machine learning models that are under the oversight of an enterprise-grade team of infrastructure and payments experts. Moreover, we have an enterprise-grade engineering team that has built and maintains a scalable and resilient cloud-native stack using AWS.

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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.

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Salesforce’s Mike Kreaden on how to build a platform to drive growth

Intercom, Inc.

Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. It’s really important to turn things around, and we all know about customer-centric design and engineering.

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Intercom’s Fergal Reid and Ciaran Lee on the making of Resolution Bot

Intercom, Inc.

We sat down for a chat with our own Fergal Reid, Principal Machine Learning Engineer, to learn why Answer Bot had to evolve past simply answering questions to focus on solving problems at scale. Fergal Reid: I lead the Machine Learning team at Intercom. I joined Intercom about two and a half years ago.