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The COVID-19 pandemic has underscored just how critical it is to be able to quickly analyze and interpret data and the invaluable role that artificial intelligence and machine learning play in savvy decision-making. In the quest for a vaccine, the whole world has witnessed a very practical (and life-saving) application of machine learning, which drives the required training and ongoing fine-tuning of models used by AI for inference in real-time.

Because better trained models result in faster and more accurate AI, it stands to reason that AIs biggest challenge is properly training its ML models.

Well-trained ML models must be fed a steady diet of big data so they can adapt and improve. As the training data sets grow, learning algorithms perform better and become more accurate. Simply put: the more data, the better the outcome. Obviously, huge amounts of data call for huge amounts of storage, but all storage solutions arent created equal in this context. As enterprises evaluate how they can best leverage their own AI/ML applications, its imperative that they dont overlook storage infrastructure in the process.

An organizations ability to successfully sift through and glean actionable insights from the massive, ever-growing data sets necessary for model training is dependent on having a storage architecture that can keep up with exceedingly demanding requirements across all stages of the data pipeline.

Heres why object storage is the most suitable and, quite frankly, the only adequate solution to help solve AI/MLs model-training challenge:

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Enterprises seeking to realize the full value of their AI applications must understand the critical nature and potential challenge of properly training and fine-tuning their ML models. The smart ones will be just as conscientious about choosing the right storage infrastructure as they are about compute requirements. The wisest will come to the conclusion that object storage solutions provide the optimal foundation for ultimately extracting fast and accurate analytical insights, life-saving and otherwise.

About the author: Maziar Tamadon is product and solution marketing director at Scality. Prior to joining Scality, Maziar held product marketing, product management and engineering positions at Seagate, Broadcom, Emulex, Brocade, and Hewlett-Packard, in the US and France. He holds MS in EE and CS from the Institut National Polytechnique de Grenoble in France.

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Why Object Storage Is the Answer to AI's Biggest Challenge - Datanami