IDC: Applying Advanced Analytics and Machine Learning to Modern Network Architectures
Learn how applying AI & ML to modern network architectures can accelerate the evolution toward digital transformation.
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The Place Where Modern Operations & Technology Come Together
6 myths and facts about deep learning
Despite decades of development, deep learning has been boosted by the increasing processing power of computers and the immense amount of data available, which has allowed it to obtain some achievements that were unthinkable years ago. Deep learning is at the heart of what we know today as artificial intelligence. However, like everything that is talked about a lot, deep learning has formed a series of myths that do not always obey reality.
Technology trends and their impact on IT management
Join Rajesh Ganesan,VP, #ManageEngine and Pradyut, Product Manager, ServiceDesk Plus as they discuss about how technology has evolved over the last 20 years, the current #technology #trends such as #AI, ML, blockchain, etc. and how these impact #IT management. In addition, you’ll also get a glimpse of what’s in store for ManageEngine and ServiceDesk Plus in 2019.
Rethinking UX for AI-driven Alerting
I’ve been designing monitoring tools for almost 10 years now, and in that time a lot has changed. The infrastructure we build software on, for example, has been transformed multiple times—moving first from physical hosts to VMs in the cloud, then from VMs to containers, and now from containers to serverless and cloud service-based infrastructure.
How to build the one job skill they can't automate (yet)
Artificial intelligence (AI) is already competing with humans for the jobs so many of us have built our careers on. Whether this is progress or the beginning of the end of civilization, it’s probably inevitable. But don’t panic: robots still can’t feel, which is good news for anyone aspiring to a long and fruitful career.
How CA Operational Intelligence enables IT operations teams to make smarter decisions -- Live Demo
See how CA Operational Intelligence enables IT operations teams to make smarter, faster decisions for enhancing user experience and improving IT service quality and capacity through mainframe to the cloud contextual intelligence. In this demo, you'll see how machine learning-driven analytics, along with out-of-the-box visualization and correlation, can help you drive a superior user experience and boost operational efficiency by up to 60%. Live demo presented by Adeesh Fulay, Director, Product Management
Combining Threat Detection with Artificial Intelligence, Logz.io Launches Security Analytics App for ELK Stack on its Continuous Operations Platform
Boston and Tel Aviv, October 24, 2018 — Logz.io, the leader in AI-powered log analysis, releases the first robust security application built on the open source ELK Stack, bringing powerful and scalable security monitoring and analysis directly into the DevOps workflow.
EMA AI Rants - Why CA Operational Intelligence was Selected into the EMA Top 3 for AI and ML
Modern IT infrastructure monitoring needs to fully focus on applications and business services. EMA Top 3 product CA Digital Operations Intelligence achieves this goal by connecting to the entire application stack, from top to bottom, eliminating the artificial separation between servers, NOC, apps, middleware, databases in data centers and clouds.
EMA AI Rants - Why Artificial Intelligence and Machine Learning are Critical for IT Operations Today
In today's world of massively complex hybrid application environments, Artificial Intelligence and Machine Learning (AI/ML) are the core technologies many of us are placing their hopes into when it comes to lowering IT OPEX. Torsten Volk (EMA) and Umair Khan (CA) discuss the potentially disruptive character of these technologies for modern hybrid IT.
The Platform Advantage: AI, Machine Learning and IT Ops featuring Nancy Gohring, 451 Research
In this 451 Research 4-part video series, senior analyst Nancy Gohring shares her views on the advantage of combining a platform monitoring approach with AI and machine learning and what are the key drivers and upsides for customers.