Businesses have entered the most rapid period of technological change in history, and artificial intelligence (AI) is on the cusp of revolutionizing the entire workforce. According to the
World Economic Forum report on The Future of Jobs, in 2018, 29% of the tasks are handled by machines across 12 industries. By 2022, 42% of all tasks and 62% of organization’s information and data processing and information search will be handled by machines and algorithms. This is a radical shift in just four years.
The journey to AI is through a well-crafted information architecture. The vast majority of AI failures are due to data preparation and organization, not the AI models themselves. Success with AI models is dependent on achieving success first with how you COLLECT your data. You need to establish a strong foundation of data, making it simple and accessible, regardless of where that data resides. To help customers manage and gain insights from many data sources or a hybrid, multicloud environment, IBM has accelerated integration of end-to-end scenarios with Cloud Pak for Data with the MongoDB Enterprise Advanced. The integration with MongoDB also addresses challenges around developer experience, insight activation and application management.