Boost your digitalization: artificial intelligence

Every few weeks, it appears, we’re treated to another breakthrough innovation in artificial intelligence. Whether it’s Deepmind’s system beating the world champion Go player, GPT-3 dazzling us with Turing-test-breaking abilities or Dalle-2 generating images that are simply stunning, it seems like we’re on the cusp of general AI. In reality, in my view, we’re much less advanced than what these news-making innovations seem to suggest, and for the typical company that I work with, many of the machine learning and deep learning (ML/DL) models are still living mostly in prototypes and experimental setups.

For companies to be successful in their digital transformation, it’s not sufficient to use more software and collect more data. We also need to use this capability to collect data for more than traditional data analytics. The data provides an excellent basis for training ML/DL models as well and if we don’t exploit this opportunity, others will and out-innovate us.