Why is real-time data processing so challenging?

6 min read

Real-time data analysis is all about closing the gap between data collection, analysis, and action. With ever-increasing volumes of data being generated every second, analytics solutions need to keep up the pace. Businesses across industries share the same goal: to minimize the time it takes real-world events to be captured, interpreted and turned into valuable insights. For this, the entire realm of business intelligence tools must adapt to deal with real-time data: machine learning algorithms, predictive analytics, report-oriented dashboards, and visualization tools alike. By investing in real-time data capabilities, businesses gain the opportunity to act on operational trends as they…...

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Josh Miramant Josh Miramant is the CEO and founder of Blue Orange Digital, a data science and machine learning agency with offices in New York City and Washington DC. Miramant is a popular speaker, futurist, and a strategic business & technology advisor to enterprise companies and startups. He is a serial entrepreneur and software engineer that has built and scaled 3 startups. He helps organizations optimize and automate their businesses, implement data-driven analytic techniques, and understand the implications of new technologies such as artificial intelligence, big data, and the Internet of Things. Featured on IBM ThinkLeaders, Dell Technologies, and NYC’s Top 10 AI Development and Custom Software Development Agencies as reviewed on Clutch and YahooFinance for his contributions to NLP, AI, and Machine Learning. Specializing in predictive maintenance, unified data lakes, supply chain/grid/marketing/sales optimization, anomaly detection, recommendation systems, among other ML solutions for a multitude of industries. Follow me on Twitter or LinkedIn. Check out my website. Visit BlueOrange.digital for more information and to view Case Studies.