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Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?

Smart Data Collective

What exactly is artificial intelligence (AI) and what business does it have in higher education? In saying so, the application of AI within higher education brings to light a mutually beneficial relationship between the two. Unsurprisingly, the application of artificial intelligence in higher education is not without its perils.

Education 219
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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Communication and political savvy: Data architects need people skills.

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Can Predictive Analytics Provide Accurate Results Without Burdening Users?

Dataversity

If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. The technology research firm Gartner states that “by 2025, 50% of data scientist activities will be automated by artificial intelligence, easing the acute talent shortage.”

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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education. Big data is the future of education.

Learning 339
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Intelligent Solutions for Sustainable Waste Reduction

SCIP

SCIP Insights Intelligent Solutions for Sustainable Waste Reduction In a world struggling with the challenges of overconsumption and environmental degradation, the need for sustainable waste management has never been more vital. At the forefront of the battle against waste lies the power of data and analytics.

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Plug n’ Play Predictive Analytics for Your Business

Elegant BI

Assistive Predictive Modeling allows business users to leverage a self-serve advanced analytical tool and to enjoy complex, sophisticated forecasting and business predictions in a simple, user-friendly dashboard environment – all without the skills of an analyst, data scientist or IT professional.