Rocket-Powered Data Science

JUNE 17, 2022

While the event was live in-person in Las Vegas, I attended virtually from my home office. Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Trend #5: The rise of mobile EAM solutions Mobile technology is making EAM more accessible than ever.

Cost-Benefit 59

Cost-Benefit IoT Internet of Things Enterprise 59

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. They can create and distribute information across the production line, dispatching work orders and work instructions based on trigger events.

Software 72

Software Manufacturing Cost-Benefit ROI 72

Rocket-Powered Data Science

JULY 6, 2021

AIOps appears in discussions related to ITIM (IT infrastructure monitoring), SIEM (security information and event management), APM (application performance monitoring), UEBA (user and entity behavior analytics), DevSecOps, Anomaly Detection, Rout Cause Analysis, Alert Generation, and related enterprise IT applications. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Sisense

MAY 11, 2021

Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Rocket-Powered Data Science

JULY 21, 2023

My strong interest hasn’t diminished, and neither has Splunk’s developments and product releases in that space, as seen in observability’s prominent mention within many of Splunk’s announcements at this year’s.conf23 event. I call that “digital resilience for the win!”

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190