"Just as in the global context, new tools are being used by the media in Latin America and Central and Eastern Europe (CEE). The use of artificial intelligence and machine learning (ALI/ML) is not limited to large, corporate media. But the reality of different news organisations with a variety of budgets and markets can vary deeply. In Latin America, only a handful of media organisations are embracing AI or machine learning in house, most notably in Argentina, Perú and México and none as part of a long term effort to embrace the technology. While most of the news organisations consulted are using some sort of AI implementation through vendors or third party solutions and there is strong appetite for more it is rarely part of a strategic vision. In CEE, digital natives are embracing AI/ML solutions and the region has been produced a few AI/ML based third party solution providers with global reach or ambitions. Competition for talent is a major bottleneck, as media have to compete with the global outsourcing of IT jobs to the region. The other challenge is state pressure on media, especially in such markets as Russia or Belarus, which makes long-term planning and investment impractical." (Key findings, page 5)
1 Foreword, 3
2 Executive summary, 4
3 Key findings, 5
4 Our approach, 7
5 Glossary of terms, 9
6 10 tips for media to get into AI/ML, 10
7 Overview of key findings, 12
AI as a disruptive bridge to the future for media -- Opportunities from automated content to subscription management -- Product and agile thinking -- Finding talent -- Collaboration in multiple forms
8 Deep dive: Latin America, 26
9 Deep dive: Central and Eastern Europe, 35
10 Recommendations, 47
11 Appendix I: Country Profiles, 49