Intelligent Tech Channels Issue 15 | Page 18

ENTERPRISE TECHNOLOGY Christian Putz, Director Emerging Markets EMEA, Pure Storage. clean, transform, label, and store larger amounts of data. Adding additional high- quality data points directly translates to more accurate models and better insights. “A fundamental reason why deep learning has seen a surge in success is the continued improvement of models with larger data set sizes. In contrast, classical machine learning algorithms, like logistic regression, stop improving in accuracy at smaller data set sizes. As of 2016, a rough rule of thumb is that a supervised deep learning algorithm will generally achieve acceptable performance with around 5,000 labelled examples per category, and will match or exceed human performance when trained with a dataset containing at least 10 million labelled examples,” explains Christian Putz, Director Emerging Markets EMEA, Pure Storage. Recent research from Google has shown the advantages of increasing the dataset size, showing logarithmic increase on performance in vision tasks as data sets increase in size to 300 million images. Even further, this research suggests that higher capacity models require proportionally larger datasets. Separation of compute and storage also allows independent scaling of each tier, 18 Nick Jheng, Sales Account Manager at Synology. A fundamental reason why deep learning has seen a surge in success is the continued improvement of models with larger data set sizes. avoiding many complexities of managing both together. As the data set size grows or new data sets are considered, a scale out storage system must be able to expand easily. Similarly, if more concurrent training is required, additional GPUs or DGX-1 servers can be added without concern for their internal storage. Solution selling The demand for cloud storage, no matter public or private, will only increase as data grows exponentially. With on-premises private cloud solution such as a network attached storage, businesses can rest assured that they enjoy higher levels of data protection and data sovereignty. The enterprise storage market continues to evolve, especially with the trends and growths of mobile devices, Internet of Things, Big Data, and Artificial Intelligence. “The technology for data storage will only advance as demands grow. The network attached storage industry itself has gone through many stages of innovations as well, from scale-up to scale- out and the currently highly requested hyper-converged infrastructure. Channel partners need to continue cultivating their knowledge in the application of network attached storage,” explains Nick Jheng, Sales Account Manager at Synology. In addition, customers, especially business users, need a complete solution. As network attached storage is only one puzzle piece in the business IT infrastructure, channel partners need to constantly educate themselves in other aspects, such as networking products and information security. This allows them to provide integrated, comprehensive solutions for their customers. Issue 15 INTELLIGENT TECH CHANNELS