Operations | Monitoring | ITSM | DevOps | Cloud

AI

Logz.io Releases Alice The First Observability Bot to accelerate Chat-Ops and Data Insight On-the-Go

Boston and Tel Aviv — August 22, 2018 — Logz.io, the leader in AI-powered log analysis, releases Alice, a new Slack-based ChatOps solution that empowers DevOps teams to easily accelerate collaboration and data exploration in a manner that is flexible and accessible on-the-go. The tool enables DevOps teams to implement a ChatOps approach to logging and monitoring directly within Slack and remain connected regardless of their location.

Logz.io Teams up with AWS to Expand Global Access to AI-Driven Machine Data Analysis

Boston and Tel Aviv–July 19, 2018–Logz.io, the leading provider of AI-powered log analysis, announces the release of its intelligent log analysis platform on Amazon Web Services (AWS) Marketplace. The Logz.io platform is the first and only ELK solution offered on the AWS Marketplace, giving AWS customers worldwide access to powerful capabilities for extracting actionable insights from machine data.

AI and Machine Learning in Your Organization

Digital transformation has led to complex environments that continuously generate new data. As a result, organizations are left unsure about how to best use their data to foster growth and edge out the competition. It's not enough to just have mountains of data, it needs to be analyzed and made sense of in a way that best suits the business.

The real-time journey from raw streaming data to AI-based analytics

Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Anodot’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.

Using AI analytics to detect real-time application issues

Anodot’s Solutions Engineer and AI specialist, Steven Kirkpatrick, presents how leading gaming companies are leveraging the powerful anomaly detection capabilities of Anodot’s AI Analytics to proactively address business incidents in real time, minimizing revenue loss and identifying opportunities.

What Artificial Intelligence Means for MSPs

Managed service providers (MSPs) are feeling the impact of AI use, mostly when it comes to the power of chatbots. Chatbots are an incredible way for MSPs to save time and money when it comes to the lower levels of their customer support. Well-programmed bots can take the burden off techs and your support staff when it comes to answering simple questions and troubleshooting common issues.

How you can take back control over your log analytics with AI

We’ve all been there — you’re on-call, fast asleep at 3 AM when suddenly, in comes the alerts–in overdrive. Your system is notifying you of some sort of abnormal behavior, but with all the alerts and data coming through, its difficult to figure out what your system is trying to tell you. Is there potential malicious behavior? Did someone write faulty code? Is it an important issue or can it wait? Is it nothing at all?

Five worthy reads: Revolutionizing IT with artificial intelligence

Netflix recommends Stranger Things to you because it knows you like watching sci-fi thrillers. Tinder lets you swipe right into your next date because it’s learned your interests and partner preferences. Amazon keeps showing you Fitbit because you’ve spent a considerable amount of time browsing through the fitness and wellness category.

Data snapshot: AI Chatbots and Intelligent Assistants in the Workplace

Computer programs that talk to people aren’t new. The natural language processing program ELIZA , which played the role of a digital psychologist, first debuted way back in 1966. This early chatbot was capable of “listening” to you as you shared your life story, delivering mostly coherent, yet vague canned responses to whatever you typed in.