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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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Enhancing the Business Strategy with Data Engineering Solutions

Trigent

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

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Article: Innovation Startups Modeling Agile Culture

InfoQ Culture Methods

Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. To be agile is to adapt to today's market.

Agile 132
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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363
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5 hot IT hiring trends — and 5 going cold

CIO

Firms that want to innovate and grow while headcounts are in flux are looking to upskill talent from within , promote their firm’s strengths to prospective candidates, and broaden their pool of potential hires from nontraditional backgrounds. IT leaders say the best approach is to focus on adaptability. Careers, IT Skills, Staff Management.

Trends 328
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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. An open lakehouse, and the birth of Apache Iceberg.

Data 90
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.