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.
In this event, Etienne Charlier and I described how AI image generation work, how it can be used by companies, what are the new paradigm to create to use this new tool.
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.
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.
As the workplace becomes increasingly digital due to the pandemic, new ways of communication and collaboration are emerging every day. These investment can be a financial burden or a strategic opportunity. To learn more, join us with a panel of experts, next Thursday, October 22 for a discussion about the the digital transformation of workplaces and effective ways to minimise the impacts of major disruptive events such as Covid-19. We will be looking at the future of the workplace, post pandemic, and at the ways to harvest the forced digitalization that company have adopted.
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:
One step at a time, we can start your AI journey today, by building the foundation of your future performance.
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