Generative AI will double that number

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Most of the data we store is unstructured. As it accumulates, it becomes a real problem, but 2024 will bring new ways to manage it, says Anand Babu Periasamy, co-founder and CEO of MinIO. “In 2024, we will see an explosion of truly unstructured data (audio, video, meeting recordings, conversations, presentations) as AI applications come online. This is very useful content for training AI, and collecting it into an AI data lake will greatly improve the intelligence of the enterprise as a whole, but it will also create unique challenges,” he says. “There are specific performance challenges when dealing with tens of petabytes that typically cannot be addressed with traditional SAN/NAS solutions — they require the attributes of modern, high-performance object storage. This is why most AI/ML technologies (e.g., OpenAI, Anthropic, Kubeflow) use object storage, and this is why most databases are moving to object storage.”

According to Forrester, the amount of unstructured data spain mobile database by enterprises will double in 2024, opening up new, potentially lucrative opportunities for AI. “Data and analytics decision makers around the world say that only 27% of the data their organizations manage is unstructured,” the research group notes. “ as companies implement more conversational experiences for customers and employees. Enterprises will struggle to store, analyze, and make sense of this flood of unstructured data. This trend will manifest itself in the area of ​​data pipelines, where 80% of new pipelines built in 2024 will be dedicated to collecting, processing, and storing unstructured data.”

In 2024, many enterprises around the world will be adopting a data-first architecture to simplify their data management strategies, according to Jeff Heller, vice president of technology and operations at Faction. “Companies are going through a paradigm shift: they are either choosing one cloud or changing the architecture to meet their needs,” he says. “In 2024, organizations will have to think about which type of cloud is best for them to get the most out of their data. Decisions based on short-term goals rather than long-term growth will lead to data lockup. Data must be accurate and accessible to make timely decisions. Data management is becoming increasingly complex for organizations. The need for an effective data management strategy is paramount. Enterprises will turn to solutions that provide access to a single set of data in a convenient location across all clouds, ensuring data accuracy and increasing efficiency.”