Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […]
The Importance of Anomaly Detection for Service Mesh Monitoring
Click to learn more about author Yuval Dror. Many companies today have adopted the new norm of rapid iteration in software development and now live by Mark Zuckerberg’s famous motto, “Move fast and break things.” This mentality has led to the growth in popularity of a service-oriented architecture (SOA) approach to software design. In particular, […]
Cybersecurity’s Future is Data-Driven: Using UEBA to Thwart Threats
Click to learn more about author Derek Lin. User and entity behavior analytics (UEBA) is one of the fastest-growing areas within enterprise security, growing at a compound annual growth rate of 48 percent per year, according to Gartner. Modern enterprise IT security solutions use this technology to detect and remediate advanced threats that are unable […]
Six Ways Anomaly Detection Can Boost Your Conversion Rates
Click to learn more about author David Drai. There’s no way around it: Customer acquisition is expensive. According to an Econsultancy survey, just 22 percent of digital marketers and e-commerce professionals are satisfied with their conversion rates. And boosting those figures is easier said than done. Businesses have long applied anomaly detection to surface potential […]
NXP and Microsoft Partner on Edge-to-Cloud Machine Learning Solution
According to a recent press release, “NXP Semiconductors N.V. today announced collaboration with Microsoft to bring Artificial Intelligence (AI) and Machine Learning (ML) capabilities for anomaly detection to Azure IoT users. By combining complementary strengths, NXP’s offline machine learning capability and embedded processing with Microsoft’s cloud expertise, the two companies jointly demonstrate a new Anomaly […]
Fraud Detection Using a Neural Autoencoder
Click to learn more about author Rosaria Silipo. The co-authors of this column were Kathrin Melcher and Maarit Widmann. The Fraud Detection Problem Fraud detection belongs to the more general class of problems — the anomaly detection. Anomaly is a generic, not domain-specific, concept. It refers to any exceptional or unexpected event in the data, […]
Cybersecurity Data Science: Minding the Growing Gap
Click to learn more about author Scott Mongeau. Following cybersecurity Data Science best practices can help beleaguered and resource-strapped security teams transform Big Data into smart data for better anomaly detection and enterprise protection. Future Shock: Growing Vulnerabilities and Liabilities The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity […]
The AI Advantage in ITSM: Features and Use Cases
Click to learn more about author Ashwin Ram. Artificial Intelligence (AI) is making its way to IT Service Management (ITSM), promising to redefine the way things work. But will AI fulfill its promise and really make ITSM easier and more efficient? That’s what we’re exploring in this two-part series, “The AI Advantage in ITSM.” Earlier, […]
The AI Advantage in IT Service Management: AI at Work in ITSM
Click to learn more about author Ashwin Ram. With all the advances in the area of Artificial Intelligence (AI) and its widespread application across various disciplines, this new technology is making its way to IT Service Management (ITSM). ITSM has seen multiple waves of new technology, each promising to redefine the way things work. But […]
Numenta Demonstrates Results of Machine Intelligence Algorithm on Real-Time Anomaly Detection
by Angela Guess A new press release reports, “The exponential increase in the use of connected real-time sensors to surface streaming data in the age of the Internet of Things presents significant challenges and opportunities for the emerging field of streaming analytics. Detection of anomalies in streaming data, in particular, has becoming an increasingly important […]