Artificial Intelligence, Machine Learning, IoT, & Data Science

The future of technology will be driven by the intersection of Artificial Intelligence, Machine Learning, the Internet of Things, and Data Science.

Artificial intelligence is the theory and development of computer systems’ ability to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Machine learning is the capability in which a machine can learn by its own without being explicitly programmed. It is an application of AI that provides the system the ability to automatically learn and improve from experience. The IoT is a link made between connected devices. It allows devices to work outside of the need for human input. Data science be defined as obtaining insights and information out of data. A growing number of companies and industries are requiring talent with skillsets in these areas.

The Artificial Intelligence, Machine Learning, IoT, & Data Science Community is designed to keep students informed about relevant industry news and connect them with related opportunities.

An Interview with an AI Professional at Deloitte Consulting

We recently spoke with Morgann Carlon, a Senior Manager in the Applied Artificial Intelligence Practice at Deloitte Consulting LLP, about the best parts of working at Deloitte, the exciting field of AI, and her advice to job seekers interested in …

By Vault Consulting Editors - Vault
Vault
A comprehensive resource for students and job seekers looking for career advice, job postings, company reviews from employees, and rankings of the best companies and industry employers.
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Data Science Is a High-Paying, Fast-Growing Field—Here’s What You Need to Know About Entering It

Ever wonder how Instagram knows exactly what ad to show you? Or how your supermarket keeps the right food in stock? It’s probably thanks to a data scientist.

You may have heard the words “data science” tossed around a lot …

By Natalie Morse - The Muse
The Muse
Expert advice to answer your career questions.
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Women in Data Science: How to Build and Advance Your Career

What are the different paths toward a career in data science? What do you wish you had known earlier? How do you “own” your career? Data scientists from Uber, Facebook, and Reddit answered these and many other fascinating questions during …

By T.J. DeGroat - Springboard
Springboard
Bridging the world's skills gap through affordable, high-quality, online education.
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