Big Data and AI

Max Welling, Research chair in Machine Learning at the University of Amsterdam and VP technologies Qualcomm Netherlands, talks about about machine learning, big data, artificial intelligence, historical data, deep learning and algorithms.

Dorothea Petrescu

In response to Gabriel Schurter

What are some examples of AI-based devices we use in our daily lives?

Self-driving and parking cars use deep learning, a subset of AI, to recognize the space around a vehicle. Technology company Nvidia uses AI to give cars “the power to see, think, and learn, so they can navigate a nearly infinite range of possible driving scenarios,” Nvidia explains on its website. The company’s AI-powered technology is already in use in cars made by Toyota, Mercedes-Benz, Audi, Volvo, and Tesla, and is sure to revolutionize how people drive—and enable vehicles to drive themselves.

Gabriel Schurter

What are some examples of AI-based devices we use in our daily lives?

Gaetano Albertini

AI algorithms are usually very complex, often requiring thousands of calculations – sometimes even more –computed every second. With the development of cloud and distributed processing over the past decade, it became possible to process such algorithms, ushering in the current age of AI-powered data analytics.


A deep learning agent is any autonomous or semi-autonomous AI-driven system that uses deep learning to perform and improve at its tasks. Systems (agents) that use deep learning include chatbots, self-driving cars, expert systems, facial recognition programs and robots.

Janko Kyllikki

No, tomorrow’s AI won’t live up to the hype. Freeing ordinary folks from repetitive tasks and giving them personal assistants only allows people to busy themselves with other, more complex tasks. The resulting productivity will mark incremental gains for business owners, but nothing on par with the digital revolution and the industrial one before it. For that, we’ll have to wait for the robots.

Тихомир Безлов

AI will save companies considerable time by doing tasks and collecting data as well as providing decisions based on that data much faster than human beings can do. It seems quite possible that AI has the capability of doing so much more than we can on many levels. It’s an exciting time to watch the changes that AI brings.

Jovanka Pokorny

AI autopilots in commercial airlines is a  surprisingly early use of AI technology that dates as far back as 1914, depending on how loosely you define autopilot. The New York Times reports that the average flight of a Boeing plane involves only seven minutes of human-steered flight, which is typically reserved only for takeoff and landing.

Maria Arlotto Duchamps

Machine learning is a subset of AI. The idea is that machines will “learn” and get better at tasks over time rather than having humans constantly having to input parameters. Machine learning is a practical application of AI. 

Siegfried Castro

In response to Luned Birutė Mag Raith

Data mining is the process of analyzing hidden patterns of data according to different perspectives for categorization into useful information, which is collected and assembled in common areas, such as data warehouses, for efficient analysis, data mining algorithms, facilitating business decision making and other information requirements to ultimately cut costs and increase revenue.

Data mining is also known as data discovery and knowledge discovery.

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