Kinetica Predicts AI and IoT Use Cases Will Drive Demand for Next-Gen Databases in 2018

Today's analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights. "Based on its enormous potential, investments in AI can be expected to increase in 2018, while investments in IoT will need to show measurable return," said CTO and Cofounder of Kinetica Nima Negahban. "The ability to operationalize the entire pipeline with GPU-optimized analytics databases now makes it possible to bring AI and IoT to business intelligence cost-effectively. And this will enable the organization to begin realizing a satisfactory ROI on these and prior investments."