Operations | Monitoring | ITSM | DevOps | Cloud

May 2019

Anodot Demo: eCommerce

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.

Outlier Analysis: A Quick Guide to the Different Types of Outliers

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.

5G is Rolling Out: Here's How Cognitive Analytics Will Take Part in the Revolution

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.

Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

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.

Predictive Maintenance: What's the Economic Value?

The global predictive maintenance market is expected to grow to $6.3 billion by 2022, according to a report by Market Research Future. However, a new paradigm is required for analyzing real-time IoT data. Predictive maintenance, which is the ability to use data-driven analytics to optimize capital equipment upkeep, is already used or will be used by 83 percent of manufacturing companies in the next two years.

Who Will Win and Who Will Die: 'Game of Throne' Fans Use Data Analysis to Predict What Happens Next

In the era of Peak TV, there is probably no more emblematic version of worthy binge watching than “Game of Thrones”. At the cusp of the series’ eighth and final season, the internet is buzzing with some painstaking analysis – using algorithms, AI, and big data sets, to find hidden Easter eggs. The numbers capture the mind-boggling detail author George R. R. Martin weaved into his novels and how easy it is to get lost in a fictional world as intricate as our own.

5 Critical Shortcomings of Traditional BI Tools

Business Intelligence (BI) tools have taken the business world by storm. According to new research, over 80% of executives believe that tools such as advanced visualization, dashboards, and reporting are critical tools when it comes to parsing data. However, many end users aren’t bringing in those dashboards because they really use them, rather they are hoping to get a sense of security (incorrectly) that they will know everything about their business.