What’s the Deal with Data Science and Artificial Intelligence?

Whether you’re at home or at work, AI and data science now play an integral role in everyday modern life. But while this may now be considered quite the norm, ethical questions and concerns are still being voiced surrounding advancements in artificial intelligence and data science.

After all, how much privacy and personal information are we willing to surrender for the sake of improved security or a more personalized online shopping experience?

Although a number of myths and falsehoods surrounding these technologies are frequently debunked, ethical responsibility and an improved discourse between machines and humans is still very much needed as advancements in technologies begin to outpace government regulations. Which again, leads us nicely onto our next point…

With the growth of AI in the workplace, it’s becoming increasingly apparent that there’s a need for more (and different) training in order for businesses and society to keep up.

Realizing this, universities such as Bocconi University are rolling out specially designed degree programs to train students in advanced technologies and how to best implement them.

Their STEM-oriented graduate programs include Cyber Risk Strategy and Governance, Data Science and Business Analytics, Economics and Management of Innovation and Technology, while their “[BSc in Mathematical and Computing Sciences for Artificial Intelligence] program meets the increasingly urgent demand for new job profiles coming from the professional world as well as from academia and research,” said Professor Gianmario Verona.

“On the one hand, they [students] require a mastery of the most sophisticated mathematical, computational and modeling methodologies, and on the other hand, they [students] must understand the algorithms of modern artificial intelligence,” he added.

It’s worth nothing that we’re only at the tip of the digital era iceberg when it comes to not just the volume, but the variety of technology that comes out of AI and data science. Although we may still be unsure where we’re going next, it does look exciting!