BIG DATA WITH DINO PEDRESCHI: THE ROAD AHEAD


The road ahead

Dino Pedreschi, Professor of Computer Science at the University of Pisa and co-lead of KDD Lab - Knowledge Discovery and Data Mining Laboratory, talks about data commons, network effects, Gdpr and our right to explanation.

Prof. Dr.-Ing. Helga Breitner

Data promises to be for the 21st century what steam power was for the 18th, electricity for the 19th and hydrocarbons for the 20th; we are truly experiencing a new industrial revolution. We are also experiencing profound changes in the information technology landscape. The data around us has become so vast, so demanding, there is so much and it is so complex, that it is not about the processing speed anymore; we truly need deeper forms of computational intelligence to make sense out of this new universe of information.

Ruben Gansen

In addition to machine learning and data mining, some of the skills that are required of data scientists include statistics, software engineering, linear algebra, programming languages such as Python and Java, and platforms such as Hadoop for advanced analytics.

YogaFan

In response to Joaquin Oliveras

It’s been a huge decade for big data and artificial intelligence (AI), two of the biggest tech trends we’ve seen this century. From data-driven manufacturing to self-driving cars, we’ve witnessed dozens of jaw-dropping, previously unimaginable feats, all thanks to advances in big data analytics and AI.

Not so long ago, businesses across industries often sat on tons of useful, game-changing data, unsure about the many ways they could put it to use to gain competitive advantage. But as methods in machine learning, deep learning, and natural language processing became more advanced while computing power went up, seemingly useless data suddenly began to make sense.

Joaquin Oliveras

It’s been a huge decade for big data and artificial intelligence (AI), two of the biggest tech trends we’ve seen this century. From data-driven manufacturing to self-driving cars, we’ve witnessed dozens of jaw-dropping, previously unimaginable feats, all thanks to advances in big data analytics and AI.

Анета Владимирова

Because one of the goals of AI developers is to create an artificial system that can fool someone into thinking it is human, the more convincing, personality-consistent generative models have received more attention. These models learn by performing their tasks instead of using a more heuristic approach to match questions to responses (as retrieval based models do), which means they can more easily be misled. Such was the case of Microsoft's Tay. The chatbot turned racist and genocidal after interactions with the public on Twitter helped it learn these traits. Following this, Microsoft took down the bot to make alterations.

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