We strongly believe that humans will continue to play a crucial role in the Generative AI production process. What we call the Human-in-the-Loop in our Data Labeling/Processing industry. Humans possess unique qualities, including precision, contextual understanding, judgment, creativity, and background knowledge, which machines cannot fully replace but rather complement and enhance... The key lies in strategically integrating Generative AI into our daily operations, leveraging its potential to assist us in producing relevant content, developing outstanding products, and making informed decisions.
Explore the advantages and disadvantages of outsourcing and insourcing micro-tasks. Make informed decisions for your business with our comprehensive analysis.
Discover the distinctions and benefits of BPO, crowdsourcing, and managed workforce solutions in the outsourcing landscape. Gain insights into their unique features, advantages, and drawbacks to make informed decisions for your business's outsourcing needs.
Human intervention in the development of AI, the concept of Human-in-the-Loop.
Entrepreneurship is already a tough road to travel, but for those seeking to make a positive impact on the world, the challenges are even greater. Did you know that only 1 in 10 startups focused on social or environmental impact will receive funding, compared to 1 in 4 traditional startups? Yet, businesses with a social or environmental purpose are on the rise, with more than 275 certified B Corps in France alone.
We interviewed the co-founder of isahit to understand how to start an impact business! Check out these valuable tips and best practices for launching an impact business.
Paris, le 27 mars 2023. Artefact, société internationale de conseil en services data et IA, s’engage à recommander à ses clients les services d’isahit lorsque leurs données ont besoin d’être labellisées pour améliorer la qualité de la data en entrée des solutions d’IA déployées. Le rapprochement d’Artefact et isahit repose sur les valeurs communes des deux entreprises autour d’une conception éthique et responsable des services d’IA : réduction des biais, explicabilité des algorithmes, qualité des données et respect des droits humains fondamentaux.
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