Name: Behavioral Correlation Delivers on the Promise of AIOps
Start: 2021-03-24T15:00:00Z
End: 2021-03-24T15:00:34.000Z
Location: BrightTALK
Rating: 5

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises.

IT technical talent, already in high demand, is now at a critical shortfall. The global Great Resignation magnifies the existing talent shortage which in turn heightens the need for automation. Digital transformation initiatives in hyperdrive, stumble when IT talent is hard to source and swamped with routine tasks. At the same time, businesses can’t tolerate operational delays and service disruptions.   

Organizations are turning to Artificial Intelligence for IT Operations (AIOps) solutions in large numbers. These solutions enable automated processes that free valuable resources to pursue innovation, drive digital transformation, and slash service disruptions.  

But what exactly is AIOps?  In this webinar, Valerie O’Connell EMA Research Director, and Leslie Minnix-Wolfe, ScienceLogic VP of Product Marketing look to define AIOps in its current state and explore its potential to solve real-world business challenges. They will discuss the intersection of EMA AIOps field research and practical guidance from the proving ground of real-world experience.  

This spirited, interactive session will dig into topics such as:  

1) Which matters more, AI or IT automation?  
2) AIOps impact on IT’s role and business relationship  
3) The AIOps use cases that give top results  
4) Drivers, drawbacks, and delivered benefits  
5) Metrics that matter  
6) Platform vs best-of-breed – is it either/or?  
7) What do AIOps and the Great Resignation have in common?

AIOps Means Business: IT Innovation for Competitive Edge

When your application is underperforming, what should you do? For years, IT has focused on individual servers, databases, and network devices. But your customers—and employees—just expect applications to work. So, while it's essential to monitor the individual layers and components of your hybrid IT infrastructure and applications—there are simply too many components for anyone to understand how it all works together, much less know when and what is impacting your end-users.  

In this second webinar in a multi-part AIOps journey series, we’ll demonstrate how ScienceLogic SL1 helps businesses shift from individual device monitoring to business service monitoring so you can:  

-Gain service visibility across your entire IT estate—from users to the infrastructure 
-Proactively avoid service outages by understanding risk of business service impact  
-Reduce incident noise by correlating all data within a service context 
-Prioritize incidents based on business service health, availability, and risk 
-Speed root cause analysis by correlating events, changes, and anomalies within a service context

Five Reasons Why You Should Make the Shift to Service Monitoring

There is a lot of buzz over the terms ‘AIOps’ and ‘Observability’ but business leaders are struggling with how best to leverage data and insights provided by these technologies.  In this session, hear how combining observability data with AIOps insights and automation can present an opportunity for IT Operations to not just detect the presence of problems, but also uncover their root cause and resolve them. We will discuss ScienceLogic’s approach to automate the “observer” and leverage observability data with AIOps to enhance business service insights, accelerate root cause analysis and automate remediation.

ScienceLogic: Extend AIOps with Automated Root Cause Analysis

How much time would it save your organization if you didn’t have to manually create, populate, or route tickets? Or manually update your CMDB? In this session, we’ll look at how SL1 does just that and more – automating workflows between SL1 and ServiceNow to reduce manual work and propel your digital transformation. Whether you are a long-time customer or new to ScienceLogic and ServiceNow, we’ll explore new capabilities and use cases between SL1 and ServiceNow, as well as additional ITSM tool integrations—with Atlassian Jira, Infoblox, and more—all designed to give you even greater flexibility and choice.  

In this session, you will: 
-See how SL1 automates seven ITSM workflows with ServiceNow, including incident, case, change, service request, CMDB management, and more  
-Learn how we continue to support ServiceNow while extending our support to other popular ITSM and Inventory tools 
-Hear what’s new and what’s on the near-term roadmap

Throw out the Manual: Automate ITSM Workflows to Save Time & Digitally Transform

As digital transformation initiatives and the rate of change continue to escalate, businesses face increasing pressures to mitigate the risk of network outages and security breaches. The impact of these events can be widespread leading to revenue loss, reputational damage and regulatory compliance issues. In this session, Michael Bell, Restorepoint Co-Founder, will discuss how Restorepoint can help mitigate this risk through centralized multi-vendor configuration, change, and compliance management. And you will see a demo of how Restorepoint and SL1 can work together to provide highly resilient networks, operations, and business services.  

In this session you will:  
-Learn how Restorepoint centralizes the backup of multi-vendor network devices and detects configuration change and compliance events 
-See how SL1 + Restorepoint help you detect, visualize and resolve network incidents that impact your critical business services faster

Restorepoint+SL1: Mitigate Network Risks to Achieve Resilient Business Services

With businesses across industries leveraging cloud technologies to optimise their operations and processes, cloud services have never been in such high demand. As more of the organisation leverages the cloud, IT spends are skyrocketing and organisations are quickly realising the enormous burden that managing and maintaining the infrastructure places on internal developers. 

In response, cloud providers are adapting their service offerings, moving away from the conventional subscription-based model to offer more custom services, tailored to organisations’ individual needs. 

In Episode 34 of Digital Transformation in Action, we're exploring how the cloud industry is adapting its offerings to empower IT teams to accelerate innovation in the multi-cloud world.

Topics for discussion include:

- The cost of digitisation: how IT needs are shifting as company-wide digital transformation initiatives take force
- From subscription to service model: how cloud providers are adapting their offerings to help IT teams accelerate innovation
- Adapting to IT evolution: what does the uptick of as-a-service offerings tell us about the future of business?
- And more…

Adapting Cloud Services to Keep Up with Business Innovation

Face it: Your team – current employees and the ones you are desperate to recruit – do not want to spend their time on manual, routine IT processes and workflow.  Both you and they would rather focus your hard-earned skills on strategic or more productive activities. The solution seems obvious: automate those repetitive, manual functions. How to do that is less clear. The good news is that with ScienceLogic SL1, you don’t have to be a developer to create automated workflows.  Join this session to learn how your IT staff can use SL1 PowerFlow, ScienceLogic’s low code/no code workflow automation tool, to automate workflows that connect your IT systems and platforms.

Boost IT Team Productivity with Easy-To-Build IT Workflows

In a hyper-digital world, business transformation is vital for all organizations to compete and deliver against internal business and customer demands. Are you ready? Can you transform fast enough to avoid irrelevance?  

To find out, join guest Carlos Casanova, Forrester Principal Analyst, and Mike Rothgery, Capgemini Head of Global Project Delivery and Monitoring as they explore the rapidly evolving world of IT Operations Management towards Artificial Intelligence for IT Operations (AIOps). In addition to sharing the results from the Forrester Total Economic Impact (TEI) Report on Capgemini’s transformational journey, they will discuss: 

1. What's driving organizations to modernize IT towards more intelligent, automated operations.
2. Transformation levers that enable organizations to deliver greater value faster to customers, such as:
         • Obtaining clarity on what business outcomes you want and how to get there.
         • Measuring how well you're delivering services today against desired outcomes.
         • Monitoring what matters most to your customers.
         • Amplifying agility with ML-assisted automation to accelerate innovation.
3. How to get started on your AIOps journey today.

Capgemini IT: Transforming from ITOps To AIOps

**AIOps Webinar Series**
This session is the last in a series of four webinars that outline a typical journey to automated operations or AIOps. While we encourage you to attend all four sessions, this webinar can also be enjoyed on it's own.


As customer demands and competitor’s responses continue to accelerate, businesses must also change faster. Leading IT teams are investing in IT process and workflow automation to redirect IT staff from routine manual activities to resolve incidents faster and enable IT to respond faster to changes in the market and seize new business opportunities. Join this session to learn how NetDesign, a market leading managed service provider in Denmark, is partnering with ScienceLogic as they pursue a continuous improvement strategy to make their IT processes fast, efficient, and automated.  

In this session, you will: 
• Learn why and how NetDesign implemented a strategy for continuous improvement to drive better business and customer outcomes 
• See outcomes NetDesign has achieved in the last year by leveraging SL1 Workflow Automation and the SL1 Automation Library to diagnose and resolve incidents faster  
• Hear lessons learned and best practices 
• Know how you can get started

How to Achieve 80% Automation for Ticketing and Routing

Technology operations can become chaotic as businesses become increasingly digital and infrastructure sprawls. And chaos means cost when manageability and observability headaches develop. Multi-cloud management, incident response, technology debt, and IT workloads are challenges across all industries and often hold organizations back from achieving their core business objectives.

Intelligent, automated operations accelerate profitable growth by reducing and redirecting costs. Automating costs out of the operations side of technology initiatives allows customers to reclaim resources and focus on growing the business. In this way, AIOps increases service quality, efficiency, and agility, ultimately reducing operational workloads.

This webinar, drawing on dedicated MSP research, explores current attitudes and intentions around IT operations, whether artificial intelligence is being utilized, and trends amongst service providers supporting customer development. We reveal their approaches to managing customer infrastructure, and whether they are modernizing, monetizing, and maximizing margins through automation. Are MSPs expanding beyond traditional IT? Are they keeping a lid on customer costs? And, are they transforming fast enough to remain competitive?

Graduate from Old School Tools: How AIOps can Empower Teams and Boost Revenue

Gannett – the largest media publisher in America and publisher of USA Today – aims to run its IT Operations at optimum efficiency. Following multiple acquisitions/mergers, Gannett was faced with duplicative datacenters, each with discrete platforms, tools, and teams. Like many public companies, mounting pressure to “do more with less” drove IT leadership to identify ways to cut costs and eliminate redundancies. Consolidation and automation of manual processes became a critical necessity to manage its globally distributed and diverse hybrid cloud environment. Join our webinar to hear Gannett share their successful journey with ScienceLogic to automate and virtualize its Network Operations Center. 

In this webinar, you will:
• Understand the economic implications that drove Gannett’s IT infrastructure transformation strategy  
• Hear how they determined which opportunities to pursue on the path to automation and NOC virtualization 
• Learn how Gannett leveraged SL1 to consolidate tools, automate processes, and virtualize operations   
• See examples of the value Gannett IT is delivering to its business

Automate and Virtualize the NOC: A Gannett/USA TODAY Network Case Study

If analytics is the brain of AIOps, then data is the fuel that feeds that brain. Unfortunately, most organizations are feeding their brains a poor diet – it might keep you alive, but you won’t thrive. And somewhere down the road, you’ll likely encounter health problems. So how do you go from a poor diet to a balanced diet?  It starts with modernizing, rationalizing, and consolidating your monitoring and observability tools—allowing you to capture the right data, at the right time, in its various forms and locations—establishing a balanced data “diet” that contains all the nutrients your AIOps brain needs. 

In this webinar, we’ll explore how ScienceLogic SL1 helps you lay the essential data foundation for your AIOps journey. Better yet, we’ll demonstrate how you can get started today: 

-Consolidate tools and unify monitoring in one platform.
-Start discovering and monitoring on-premises infrastructure using standard SNMP and WMI protocols.
-Connect to and monitor cloud resources running inside and out of your datacenter, including “as a Service” (IaaS, PaaS, and SaaS) solutions.
-Fuse APM, configuration, change, fault, performance, user/digital experience, log, and relationship data in real-time. 
-Deploy agent and agentless monitoring scenarios.

Data: The Fuel for Your AIOps Brain

Digital communications (voice / video / collaboration) are the lifeblood of a healthcare system—connecting front-line workers, acute care, call centers, ambulatory, and administrative functions for vital patient care.  The availability and quick resolution of unplanned incidents is key to patient health and satisfaction. State-of-the-art monitoring and automation of the unified communications infrastructure is critical. Operating this system blind can have dire consequences. Please join Luke Stackle from Bon Secours Mercy Health, as he details his surgical instrumentation with SL1 to gain complete, granular visibility, and P1-preventative care for his Cisco UC environment. 

In this session, you will learn: 

-Challenges for Unified Communications in Healthcare IT 
-How ScienceLogic supports the elimination of P1 patient-impacting incidents  
-Use cases demonstrating SL1 adaptability for unique visibility needs 
-Next Steps and Lessons learned

Bon Secours Mercy Health Extracts Surgical Insights for Its Unified Comms

Jeff Dean at Google Brain once quipped that the most sophisticated AI algorithms succumb to the quality of the dataset they rely on - Garbage In, Garbage Out. If you struggle with visibility gaps for your modern IT infrastructure supporting new technologies. If you struggle with accuracy of your CMDB as a real-time trusted data source. If your data scientists struggle over dirty data, adjusting for structure and consistency, … You are then succumbing to the dirty data problem. 

Join this session to hear why modernizing your infrastructure monitoring environment is pivotal to any AIOps strategy.

The Dirty Data Problem: Why Modernizing Infra Monitoring is Pivotal to AIOps

Today, companies are aware that adopting cloud is not a binary choice. Hybrid cloud strategy continues to be the most popular strategy for Digital Transformation and ESG estimates that 89% of organisations still expect to have a meaningful on-premises footprint in three years.

In this month's episode of Digital Transformation in Action, we discuss how emerging and established development processes can support traditional architectures so that IT leaders can meet business demand, and stay within budget.

Join host Alex Hilton and guests for expert advice on managing the hybrid cloud, including:

- How to manage a hybrid cloud architecture that can flexibly support the workloads businesses need to succeed
- How to ensure your existing and legacy technology can support applications being built today and in the future
- How to handle costs confidently
- And more

Handling the Hybrid Cloud Challenge

The complexity of today’s modern IT technology stack is forcing successful organizations to adopt a modern and intelligent approach to root cause analysis (RCA) and incident resolution. Behavioral Correlation helps IT operations teams shift from device-centric to service-centric management. Further, it allows the application of machine learning to accelerate RCA and proactively avoid service impacting outages—advancing you on your journey to AIOps. 

In this session, you will gain insight into how SL1 leverages machine learning and service topology to: 
• Find hidden performance issues (anomalies) at scale 
• Correlate events and anomalies to mitigate real-time service impact 
• Accelerate root-cause analysis 
• Recommend actions for operators to respond to issues

Behavioral Correlation Delivers on the Promise of AIOps

AIOps

Artificial Intelligence

Automation

Behavioral Correlation

Digital Transformation

Incident Resolution

IT Operations

Root Cause Analysis

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Behavioral Correlation Delivers on the Promise of AIOps

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