As the business intelligence landscape evolves, organizations are increasingly turning to new and advanced approaches to gain insights from their data. However, these cutting-edge trends often push the limits of traditional CPU-based systems. To fully leverage these new capabilities, organizations must consider GPU acceleration as a key component of their BI strategy.
One of the main trends driving this shift is the move towards cloud-based BI solutions. As more and more businesses adopt remote work models, the limitations of on-premises systems have become increasingly apparent. As a result, many organizations are turning to Software-as-a-Service (SaaS) solutions and cloud-based platforms to gain more flexibility and scalability in their BI capabilities.
This trend towards cloud-based BI also reflects a growing demand for more reactive and agile approaches to data analysis. Businesses want to be able to access insights on-demand, on mobile devices, and in real-time. GPU acceleration can provide the speed and performance needed to support these more interactive, advanced, and exploratory workloads.
Another important trend driving the evolution of BI is the push to bring data analysis and decision-making even closer together. Organizations are looking to increase their data literacy and gain insights that are directly relevant to their business strategies. To achieve this, they need BI tools that can present results in context and provide a narrative through data that relates to strategic decisions.
To support these more advanced visualizations, organizations need powerful tools that can handle large and complex datasets in real-time. GPU acceleration can provide the resources needed to analyse and visualize massive amounts of data without losing any context or detail.
Finally, the rise of augmented analytics, using AI, ML, NLP, deep learning, and more, is driving a new wave of innovation in the BI space. These tools promise to make it easier for non-technical users to gain insights from complex data, but they also require significant computational resources to handle the increased workloads. GPU acceleration can provide the additional resources needed to support these more advanced analytics and visualization capabilities.
Brytlyt is a next-generation analytics and deep learning platform that can help organizations to fully leverage these new BI trends and meet the demands of their data. By leveraging the immense parallel processing power of the latest GPU technology, Brytlyt enables organizations to analyse data in motion, in real-time, even on billion-row datasets, at reduced cost.
Read more about the future of business intelligence and GPU technology’s fundamental role.
Accelerated BI and Analytics: Making data led decisions in real time with GPU Technology
A Whitepaper on the future of Business Intelligence
