It’s been one year since the public release of ChatGPT and since then a lot of discussions have taken place about the impact of the technology in the workplace. Some of the discussions were triggered by research. In this post, I offer 5 insights from the research published this year and conclude with 5 implications...
Big data and Artificial intelligence technologies have been described as major performance improvement drivers and many research have quantified their impact. However, these technologies could paradoxically have a negative effect on corporate performance. In which situations could they decrease performance? What are the strategic implications?
In a recent research, 30 years of chess games are analysed and authors conclude on the effect of AI on training for decision making. On one side, practising with AI helps some players to get better and on the other side, it fails at teaching one particular aspect of strategic thinking: exploiting an opponent’s failure....
With the development of Internet of Things technologies (sensors, connectivity, data storage) a lot of product manufacturers changed their business models from product provider to ecosystem orchestrator. It’s definitely not an easy transformation, the road being paved with significant hurdles. Research conclude on 3 changes to succeeed in this journey and highlight the role of...
With AI, algorithms are able to perform tasks much better, faster and with less errors than humans. A recent research concludes in a more subtle way: under certain conditions, humans perform better than machines when it comes to decision making. In which context humans beat the machines? What are the implications for strategy and resources...
Like any relationship, the one between data/AI and environment is complicated. The news is full of examples of how AI is used to preserve resources but is also full of news of the every day bigger energy consumption of data and AI. Are those technologies more beneficial than harmful when it comes to preserving the...
It’s common to say that platforms aggressively compete with incumbents on value capture in non-digital-native markets. A recent research sheds light on the process by which big tech companies enter regulated markets and the role data play in this entry strategy. How do big tech use data to enter markets?
Over the last years, numerous reports have highlighted the gap between the promises of value creation associated with AI and the value captured by companies in reality. A recent research has investigated the drivers influencing success of AI initiatives and concludes on 4 drivers which ensure AI influences performance. Interestingly, they are not directly related...
Recommendations systems are powerful revenue engines: the better the system, the longer the users stay on the platform or the more the clients spend on the website. But systems are numerous and some perform better than others. In particular, some systems are automated and based on other users behaviours whereas others are more manual and...
Recommendation systems are powerful revenue engines. Different types and logics exist but a lot of them rely strongly on personal data. Internet users and regulators exert growing pressures on how personal data is used which curb the ability of platforms to collect them. Recent research investigated how perceived usefulness could play a significant role in the...
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