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How to get started with AIOPS

Pierre Aeschlimann, Principal Strategist, Digital Transformation and Value Realization, Ivanti, talks through the AIOPS fundamentals, emphasising the importance of discovery and dependency mapping (DDM), configuring the data sources, discovering the ITSM pain points and opportunities and the use of agile processes to implement solutions.

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The importance of AIOps within Value Stream Management

Companies that choose not to consider the AIOps-powered VSM approach are missing a significant opportunity, argues Gaurav Rewari, CTO and GM of AI and VSM at Digital.ai.

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AIOps: Moving beyond the trigger-driven alerts model with deep learning

Shaun McGirr, AI Evangelist, Dataiku, says that the standard application of AI to IT operations is to mitigate the “overload of red alerts”: too much noise, not enough signal. This is a valid concern as IT estates grow larger, but the emphasis on individual overload does nothing to address the underlying process issue. Machine Learning needs to be used in the right place and with the right data.

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AIOPS moves beyond the ‘angry teenage years’!

Paul Bevan, Navigator, Research Director: IT Infrastructure at Bloor Research, provides some great insights into the state of the AIOPS market, and its place in the overall Ops landscape, covering cloud, observability and Digital Operations Management along the way.

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The importance of intelligent automation

Guy Nadivi, Senior Director, Marketing, Ayehu, and host and producer of Intelligent Automation Radio, emphasises how crucial it is that end users embrace the opportunities of intelligent automation (IA). Firstly, he looks at the consequences of not implementing IA. Secondly, he offers some advice on how to optimise IA projects.

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Applying a business lens to IT performance

Gregg Ostrowski, Regional CTO at Cisco AppDynamics, explains how full stack observability offers many benefits to organisations struggling to make sense of complex, likely hybrid infrastructure, as they work towards digital transformation.

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The key elements of a successful intelligent automation implementation

Recent research from Pegasystems revealed three key components of a successful intelligent automation project. Mans af Klercker, Global Sales Business Systems Specialist at PegaSystems, discusses these with DW, as well as explaining the company’s recent Pega Process AI Platform launch.

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AppDynamics Micro Demo: Synthetics Monitoring

Watch how AppDynamics synthetics monitoring proactively ensure application performance by - Providing availability anytime from locations around the world with browser synthetic monitoring - Using the AppDynamics intelligent cloud agents to monitor Business Transaction performance from browser to back-end, establish performance baselines, manage third party SLAs, and benchmark the competition - Measuring entire multi-page workflows simulating a complete customer journey including form data submission and user-actions via Selenium-based scripting of tests

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ValueOps: A Solution Overview

ValueOps from Broadcom combines our industry-leading Clarity and Rally products to form a powerful digital business and agile management solution. Breaking down the historic silos between business and IT, ValueOps gives companies superior transparency and efficiency for an improved flow of value.

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How To Scale Your Automation For The Agile Enterprise

Explore powerful use cases for device and service lifecycle management, security policy management, AL/ML enabled operations and agile DevOps-based lifecycle management as we will highlight Cisco's automation framework and best practices.

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Helm.ai Deep Teaching - Clip 1

This compilation demonstrates how Helm.ai's Deep Teaching technology performs on lane detection with Botts dots, missing/faded lane marking, glare, shadows, and rain.

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Helm.ai Autonomous Steering Benchmark

Autonomous steering on curvy mountain road Page Mill near Skyline. One camera, one GPU. No maps, no Lidar, no GPS.

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How AI-Driven Network Monitoring is Enabling Broadcom IT to Deliver Reliable Customer Experiences

Learn how Broadcom IT uses AIOps from Broadcom for industry-leading network monitoring that delivers service-aware network intelligence, alarm noise reduction, anomaly detection and automated triage.

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Start the Journey: Autonomous Digital Enterprise

At BMC, we believe the future of business is technology—by 2025, every company will be a tech company. To remain competitive and capable of withstanding the ongoing digital, cultural, and economic changes the world is encountering, businesses must evolve to an Autonomous Digital Enterprise, a state in which intelligent, integrated, value-creating functions can operate with minimal human involvement across every facet of the organization and its ecosystem of partners. Visit bmc.com/ade to learn more about the Autonomous Digital Enterprise and ensure your business is ready for whatever comes next.

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Mitsubishi Electric Innovates IoT with Oracle Cloud

Mitsubishi Electric uses artificial intelligence and process automation from Oracle Cloud Applications and Cloud Platform to increase up-time 60% and production 30%, and to reduce manual processes 55% and floor space 85%.

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News

Nasuni has expanded its leadership team by appointing Michael Sotnick to Senior Vice President of Business and Corporate Development.
Nozomi Networks OT and IoT visibility and threat detection capabilities now part of Yokogawa’s Cybersecurity Managed Services offered to customers in 60 countries worldwide.
98% of top tech execs paused their corporate genAI initiatives to establish policies.
Powerful combination of the AI-native CrowdStrike Falcon XDR platform and the Rubrik Security Cloud delivers visibility and context-rich insights needed to protect critical data.

Expert Opinions

By Frank Catucci, CTO and Head of Security Research, Invicti Security.
By Ian Anderson; Senior Director, Partner Sales, EMEA, Park Place Technologies.
By Jim Downey, Senior Product Marketing Manager, F5.