Tips to plan storage elements of artificial intelligence

Organizations create more data than ever before. Newer, faster technologies and storage systems have risen to the challenge, but the storage elements of artificial intelligence can be complex. AI data often requires high-performance, scalable storage and long retention periods. Organizations must find cost-effective storage systems to protect, manage and analyze large amounts of data; to ensure short and long-term success, it's crucial for organizations to assess their storage and data management needs throughout an AI project. Chinmay Arankalle, author and data engineer, has spent years working on big data systems.