Redwood City, CA, USA
Many data-driven companies struggle with tracking anomalous behavior in their KPIs, let alone their more granular metrics, because traditional BI tools just can’t keep pace with big data. Manual processes, whether monitoring dashboards or setting static thresholds, often leads to missed incidents or prolongs time to resolution.
May 29, 2019 | By Itay Witzer
Getting the right metrics at the right time could be the difference between running a smooth operation and making costly mistakes. And yet, data delays are still very much a part of data analysis today.
May 28, 2019 | By Debbie Meron
The global data supply reached 4.4 zettabytes (ZB) in 2013 – or 4.4 trillion GB – but less than five percent of that data was actually analyzed, according to the seventh Digital Universe report by the IDC. Approximately 22 percent of all existing data would actually be useful if tagged and analyzed.
May 22, 2019 | By Ira Cohen
Success in business hinges on making the right decisions at the right time. You can only make smart decisions, however, if you also have the insights you need at the right time. When the right time is right now, outlier detection can help you chart a better course for your company as storms approach – or as the currents of business shift in your favor. In either case, quick detection and analysis can enable you to adjust your course in time to generate more revenue or avoid losses.
May 22, 2019 | By Vikram Pulakhandam
5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.
Feb 1, 2019 | By Anodot
Learn how leading adtechs like Rubicon Project, Uprise, and NetSeer are leveraging the power of machine learning - discovering outliers in time series data and turning them into valuable business insights.
Jun 10, 2019 | By Anodot
Anodot is a proactive way to run your IT Operations, used by the world’s leading data-driven companies. Our Autonomous Analytics platform uses AI to continuously scan all ETL metadata to monitor changes in behavior. Billions of events are filtered into just the alerts you need.
Personalization is key to eCommerce today. But with all the app permutations, how do you maintain great service for every customer? For every experience? Anodot is a proactive way to run your eCommerce business, used by the world’s leading data-driven companies. See how our patented AI/ML analytics platform gives you just the alerts you need, cutting time to detection and time to resolution, and saving you from costly incidents.
Anodot is a proactive way to run your IT Operations. Used by the world’s leading data-driven companies. How? Using AI. Our Autonomous Analytics platform continuously scans all ETL metadata to monitor changes in behavior. Billions of events are filtered into just the alerts you need.
May 20, 2019 | By Anodot
Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.
May 6, 2019 | By Anodot
Anodot VP Product and Marketing Amit Levi discusses the next wave of data analytics and how AI/ML is allowing companies to scale their event monitoring and anomaly detection.