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With 80% of AI project time dedicated to these tasks, it’s essential to explore how optimizing this process can transform your business. Imagine reallocating that time to drive revenue, accelerate problem-solving, and enhance operational efficiency! Paul and Ann shared invaluable insights drawn from CloudFactory’s extensive experience, encompassing over 10 million hours of labeling work across diverse projects. They provided actionable strategies to maximize your data initiatives, including determining the right amount of data to label, selecting a top-tier workforce partner, choosing the optimal tools, implementing effective auto-labeling, and monitoring key performance indicators.
About the sponsor
CloudFactory is a human-in-the-loop AI data platform company that helps AI leaders like Microsoft, Mitsubishi, Ibotta, and Expensify achieve AI advancements that drive innovation and deliver business value by bridging the gap between AI model development and real-world success.
Over the years, CloudFactory perfected the process of hiring and training a global AI workforce, building a culture of curious and passionate individuals who care deeply about their work. This translated into a team that created tremendous value for their clients. They’ve now helped over 700 clients develop high-quality datasets and high-performing models and launch groundbreaking AI solutions.
Founded in 2010, CloudFactory is on a mission to empower talented people around the world to become the skilled humans in the loop vital for unlocking AI’s full potential. They’re on four continents, with offices in the UK, US, Germany, Kenya, and Nepal.
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