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Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

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Trends in data, machine learning, and AI

O'Reilly on Data

The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape. For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019.

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Highlights from the Strata Data Conference in London 2019

O'Reilly on Data

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

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The Future of Machine Learning in Cybersecurity

CIO Business Intelligence

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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Big Data Sets The Tone For Web Development And UI Trends In 2019

Smart Data Collective

Big data and e-commerce have been carefully interwoven for years. Businesses with an online presence have looked to big data to provide better customer service. Big data is going to have a tremendous impact on the future of web technology. The JavaScript language predates the proliferation of big data.

Big Data 101