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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 108
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The rise of the data lakehouse: A new era of data value

CIO

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The new query acceleration platforms aren’t standing still.

Data 210
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Should You Move Your Data Analytics to the Cloud?

Datavail

In many instances, businesses find that as they move through the states of business intelligence maturity, and as their companies grow, they need more space and/or power. Your Organization’s Business Intelligence Maturity. The fifth and final stage comes after your organization has mastered the learning curve.

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How Data Integration Can Help Transform Tech Operations?

The Crazy Programmer

Some of the most tangible benefits linked with data integration include: Data-backed decision-making: Standardized and cleansed data becomes the strong foundation for robotics, machine learning , and various other modern technologies. Besides they accompany BI which helps the businesses to make better decisions.

Data 100
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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper. Analytics maturity model. Ground level of analytics.

Analytics 102