This, in combination with Apple and its fellow tech giants tightening up privacy protections, has reinforced the primacy of first-party data.ĭata has become a precious asset some say it is more valuable than oil. With Google's forthcoming sunsetting of the 3rd party cookies, marketers will have to find new ways to be effective in a world without this method of identification. People started to take stock of their privacy, leading to the emergence of privacy-related legislation and regulation that drives tectonic changes in the market and customer expectations. The Cambridge Analytica scandal was an eye-opening global event. Data scientists use the data to learn, develop adaptive models, and make actionable predictions - often without a transparent, explainable process. Building ML models require vast data some might be business-sensitive, and some private information. Almost any modern product or service is expected to include services based on advanced machine learning algorithms providing values such as predictive maintenance in manufacturing or cyber incident detection.Įmerging technologies almost always bring privacy and confidentiality considerations, yet the scale and application of AI create unprecedented and unique challenges. Andrey Plaksin, Chief Technology Officer, Strauss GroupĪI and ML are the key drivers of digital transformation.
0 Comments
Leave a Reply. |