February 12, 2020
Newsletter January 2020
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Data annotation: diving into the workings of AI
Behind the promises of artificial intelligence lies data. On the quality of the second one, the performance of the first one will depend. This is a major challenge that requires an ever-increasing amount of annotation work, in which the human and machine eyes work together. In recent years, many companies have entered this multi-billion dollar market. Focus on a booming sector that aims, in a way, to endow artificial intelligence with sight.
Until a few years ago, the work of annotation required little qualification: this is a man, this is a chair... But as the models are perfected, it becomes more and more complex. For example:
A demanding, time-consuming job (80% of an AI project), daunting, but no less essential, for which companies can no longer afford to dedicate their precious data scientists. All the more so as the volume of data is constantly increasing, especially with video: one hour of video requires 800 hours of annotation work. This is where the specialist companies come in.
Video: Understanding Data Annotation
Bonus video: Understand what artificial intelligence (AI) is?
Quantity and quality
Thanks to crowdsourcing, they are able to provide very specific data with a strong guarantee of control and quality:
An essential service for certain sectors, where data quality is vital. Like the startups that develop the autonomous vehicle like Waymo, Argo AI or Lyft, which can spend millions of dollars every month just annotating their data.
A strong business challenge
Indeed, if the quality of the data is not good, not only will the performance of the AI be unsatisfactory, but it will be necessary to start from scratch: collect and annotate the data again. This is time-consuming and costly work, which can have a decisive impact on a company's competitiveness in a context of strong competition. Hence the importance of choosing the right annotation service provider.
Isahit: when technological expertise meets social impact
Isahit has developed a powerful in-house labelling tool in order to meet all the requirements and specificities of its customers. It guarantees, throughout the project :
But beyond this state-of-the-art technology, isahit is above all the will to have a impact positive about the world. As the first socially responsible outsourcing platform for digital tasks, we enable our guests, young women from developing countries, to become digitally emancipated. A winning approach for the latter, but also for companies in the deployment of their CSR policy.
A word from Isabelle Mashola - CEO and co-founder of isahit
"The added value of isahit, the excellence of our work, lies first and foremost in our community. Trained, committed, cultivating mutual aid, she is proof that artificial intelligence can be a vector of social and human progress #AIforHumanity."
One more year of annotating and cleaning thousands of data. One more year of assigning, monitoring and controlling tasks. One more year of supervising and monitoring hundreds of projects.
Since isahit's creation, we measure yearly the social impact generated on our community with the help of a firm specialized on the topic. In 2022, we went even further by developing our own impact measurement indicators to assess - in the future and on an ongoing basis - our impact and the impact generated behind each of our clients' projects.
Depuis la création d'isahit, "l'humain" a toujours été au cœur de notre mission. Aujourd'hui, notre communauté comprend plus de 1400 femmes originaires de 41 pays différents; et leur diversité est notre plus grand force. En cette rentrée de septembre, nous avons souhaité aborder les sujets de diversité et d'inclusion en entreprise, pourquoi est-ce important, quelles politiques les entreprises peuvent mettre en place et comment les promouvoir en interne.
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