Predictive analytics harnesses the power of big data, statistical algorithms and machine learning techniques to anticipate future outcomes based on historical data. Various industries use predictive analytics, from finance and healthcare to retail and marketing. Among its many uses, predictive maintenance and anomaly detection are two significant applications.
It’s pretty clear that AI is changing how people consume, create, and extract data and information. When it comes to cloud costs, having everything automated can give our users personalized analysis without spending much time on it. Imagine resolving these frequent cloud cost challenges with a simple search: Get ready because this dream is about to turn into reality! Our new AI tool, CostGPT provides instant insights into cloud cost structure.
Self-hosting is effective for many companies. But when is it time to let go and try the easier way? There’s no such thing as free lunch, or in this case, free software. It’s a myth. Paul Vixie, vice president of security at Amazon Web Services, creator of the original Domain Name System (DNS), gave a compelling presentation at Open Source Summit Europe 2022 about this topic.
Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. This week we’re looking into how your business can leverage big data analytics to reduce operational costs. At the core of a well-oiled enterprise machine is a fine-tuned data management process.
Combining these two platforms provides an efficient, scalable and customizable tool for real-time data monitoring and alerting. In the data analytics and visualization world, it is crucial to have a system that not only effectively monitors your data, but can also alert you about any potential discrepancies or anomalies that may arise. One powerful tool set that enables you to monitor and alert on time series data is Grafana and InfluxDB Cloud Serverless.
