Remove topic subject analytics-and-data-science
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Higher-ed CIOs embrace academia’s AI challenges

CIO

Broadly speaking, it’s needed by researchers, in fields from medical studies to social sciences, and is a vital tool to keep universities running efficiently, assist professors with courses, predict academic failure in time to make changes, and give students the help they need with administration.

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Vote for the roundtables you want at Disrupt 2023

TechCrunch

Back in February, we started calling for content — urging startup subject-matter experts to submit applications to lead roundtable discussions or breakout sessions at TechCrunch Disrupt 2023 on September 19–21 in San Francisco. This post lists the roundtable topics. And by crikey, answer the call they did.

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Digital listening reveals 3 leading innovation drivers

CIO

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

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Revere is creating a ratings system for the venture capital industry

TechCrunch

Using data provided by an emerging venture firm, Revere uses 20 categories to verify, aggregate and research into the quality of the firm across 5 areas: sourcing, team, value add, track record and firm management. The venture capital industry is built on signals. The 11-person startup currently takes around two weeks to whip up a report.

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Top Data science books you should definitely read

Apiumhub

Data Science is one of the highest-paid and most popular fields nowadays. And there is nothing better than reading data science books to get the ball rolling. Top Data science books you should definitely read. Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. Travel data: external and internal sources.

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Integrating AI In Power BI: Know Why 44% Companies Trust AI for Better Decision-Making

Sunflower Lab

Power BI, a key business analytics service, leads a revolution in how companies use AI and machine learning to future-proof their operations. To stay competitive, industrial leaders need to make informed decisions based on a deep understanding of their data. Competition is tough, margins are slim, and technology is advancing rapidly.