Strategy

Sesame Asie Podcast Interview on AI (French) Sesame Asie Podcast Interview on AI (French)

Sesame Asie Podcast Interview on AI (French)

AI in China in Spring 2023 In the Spring of 2023, Stephane Monsallier, Founder and CEO of System In Motion, was interviewed by Raphael Seghier for the podcast Sesame Asie. With 30 years of experience in technology, Monsallier discussed the impact of new AI technologies emerging in China since the country reopened its doors.

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What is ChatGPT's IQ?' What is ChatGPT's IQ?'

What is ChatGPT's IQ?'

Would you hire ChatGPT? Before you use ChatGPT as a copywriter, personal assistant, translator, strategy consultant, or marketing analyst, shouldn’t ChatGPT go through an interview? If you rely solely on the massive buzz to try and play with ChatGPT you won’t get a fair assessment of its capabilities.

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How Good Processes Produce Good Data How Good Processes Produce Good Data

How Good Processes Produce Good Data

Good data is the basis of good decisions in companies. Good data is also necessary to enjoy the benefits of business intelligence and machine learning. It is then surprising how much corporates spend on shiny technology versus producing good data. High-quality data can be an asset to companies that know how to use them.

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Remote Work - It is not only about the Tech Remote Work - It is not only about the Tech

Remote Work - It is not only about the Tech

Remote work is not just about your information systems or any particular aspect of your business. It covers a much large scope so much so that it becomes a company culture for everyone to embrace it through everything they do.

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Data Lie Detectors - 7 Ways to Spot and Stop Data Lie Detectors - 7 Ways to Spot and Stop

Data Lie Detectors - 7 Ways to Spot and Stop

Companies collect, store, process, and analyze data to make decisions. But the data is lying, the decision may not be the best, despite great care and effort. Why would data lie to you? There are many reasons why the data is lying. That could be the result of one of several mistakes at any stage of the process. That could be conscious or unconscious bias from one of the actors of the processing chain. There could be an agenda behind the data manipulation, or it could be an unfortunate coincidence. As companies are more and more data-driven, there is a tension between automating as much as possible the data management and processing, and the need for a bit of caution. There is a strong incentive to trust the data, but there should be a healthy suspicion about the data. Data must be treated as questionable until proven trustworthy. The issues with implementing this strategy are:

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Data-Driven Corporate Culture Data-Driven Corporate Culture

Data-Driven Corporate Culture

The current crisis has changed the way we do business forever but in hindsight, it has also given us the time to reflect on our habits and lean more towards efficient business practices, towards a data-driven corporate culture.

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