Today, businesses rely heavily on data for insight. At the same time, there are many data-driven models and solutions available for businesses to choose from to get their insight. Be it for understanding customer behaviour or getting real-time information from the ground, data-driven models require the right tools to ensure efficiency.
With artificial intelligence being an enabler for automation to get faster results, businesses need a solid foundation in their business model. AI business models can be used on almost any type of business today. But a challenge that businesses face with an AI business model is the ability to harness the data when they want it where they want it.
Let’s take AI-based predictive modelling in business, for example. AI-based predictive modelling allows businesses to understand their customers better. From understanding buyer intent to boosting customer engagement, predictive modelling based on right customer data can give decision making, practices and tools more precision across all enterprise scenarios.
To ensure this happens, the data needs to be able to be read and written on the system to provide the insight needed. But, if you’re running legacy hardware and intending to use predictive AI on your data, you may find yourself spending too much time on getting that valuable information. This is because your legacy system is not able to process the sheer volume of data you’re getting at the desired speeds. The read write process will take a long time.
Take Malaysian companies in the retail industry for example. They have managed to implement storage as well as data management and benefited a lot from it when it comes to getting insights fast, which leads to customer satisfaction and higher sales revenue. This is possible with AI and data-driven models that are able to be read and rewritten. This is possible with all-flash storage.
AI requires an enormous amount of writing and reading data to disk. When AI generates data, the process is continuous. Legacy hardware disks will need to read and write the data continuously. Older systems may not be able to support this huge amount of data. The disks may get heated up and running multiple disks may not be the best solution.
With businesses embracing IR4.0, data growth is a problem that needs to be solved. Add that to the growing IoT devices providing data as well; businesses are finding it harder to collect, store and manage this data. At the same time, generating insights from the high volume of data can be timely.
Now, if the same business were using all-flash storage, it would be a different scenario. The I/O of data moves at a much faster pace. Businesses can improve their data centre economics. All-flash storage solutions today offer faster performance and high capacity in a fraction of the data centre footprint. Businesses will be to make the most from the growing data volumes and at the same time, get the results they want.
If your businesses model relies heavily on AI and data-driven models, you might want to consider having all-flash storage to ensure you are able to get the most out of your data at the fastest speed possible. To find out more about flash storage, click here.