Pinaki Laskar on LinkedIn: #ArtificialIntelligence #MachineLearning #dataquality

The global AI/ML industry is predicted to reach $190.61 billion market value in 2025. The increasing growth in the use of AI and ML models has led to a boom in the requirement of data annotation, with an expected growth of 32.54% CAGR from 2020 to 2027. Developing an AI/ML model requires huge amounts of training data and the biggest challenge remains to get access to high-quality training datasets. Data quality is one of the reasons AI projects succeed, fail, or overshoot budgets of AI and ML companies. The success of #ArtificialIntelligence and #MachineLearning applications completely depends on data and #dataquality and that is the reason on average, 80% of the time spent on an AI project is on #datalabeling. You need to identify your project requirements, find out the volume of data needed, organize and clean your data, put a quality check process in place, and structure the workflow.