Greg Washenko is a respected Leesburg, Virginia financial executive with experience spanning diverse industries and business environments. Among Greg Washenko’s areas of extensive professional interest is entrepreneurial opportunities in the data analytics sphere.
As reported in TechRepublic, enterprise demand for near real-time and real-time analytics is steadily increasing, as in-memory processing costs decrease and CPUs get faster. Having these capacities enables companies to respond quickly to signals such as online sales volume, financial market and portfolio changes, and evolving production infrastructure requirements.
At the same time, large data flows are being integrated within augmented analytics frameworks that rely on AI-informed, machine generated data queries. This involves the identification of repetitive patterns when it comes to processing, data, and outcomes, and can deliver business insights calibrated to real-time shifts in trends and market realities.
Real-time data, combined with historical data sets, can also be employed in actively understanding complex and evolving situations. The uses of predictive analytics range from investment and infrastructure planning to understanding the various facets of climate change.
As reported in TechRepublic, enterprise demand for near real-time and real-time analytics is steadily increasing, as in-memory processing costs decrease and CPUs get faster. Having these capacities enables companies to respond quickly to signals such as online sales volume, financial market and portfolio changes, and evolving production infrastructure requirements.
At the same time, large data flows are being integrated within augmented analytics frameworks that rely on AI-informed, machine generated data queries. This involves the identification of repetitive patterns when it comes to processing, data, and outcomes, and can deliver business insights calibrated to real-time shifts in trends and market realities.
Real-time data, combined with historical data sets, can also be employed in actively understanding complex and evolving situations. The uses of predictive analytics range from investment and infrastructure planning to understanding the various facets of climate change.