Getting AI results by "going pro"

Guest Blog: Fernando Lucini, Global Lead Data Science & ML Engineering – Applied Intelligence

Research report

In brief

To professionalize their approach to AI, companies must distinguish clear roles for practitioners and create additional standards for how to work:
Demand education and training to create confidence in AI technology, with clear qualifications and standards for practitioners.
Define processes that enable multidisciplinary teams to work together effectively to deliver the best products and services.
Democratize data and AI literacy to prepare the workforce for this quickly advancing technology.

Read the full report by clicking here

Fernando Lucini, Global Lead Data Science & ML Engineering – Applied Intelligence