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A year ago at AIOps Expo, we realized AIOps was really just a conversation piece – something people were starting to talk about but nobody really understood it’s full impact. We’ll kick off AIOps Expo 2020 with a look back at the past 12 months to understand where the market has come in 2019 and what is the current state of AIOps.
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The IT operations landscape is changing rapidly with adoption of dynamic infrastructures, including hybrid clouds, containers, and microservices. Legacy vendors are struggling to adapt their products to fit these modern architectures and to deal with the volume, variety and velocity of data generated. The glue that brings the layers together is innovations in the application of Artificial Intelligence (AI) for IT Operations. The AIOps Maturity Model will help organizations understand their AIOps Maturity and high-level strategies to grow their AIOps capabilities.
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As applications become increasingly complex and data-intensive, they inevitably put a bigger strain on IT teams and APM tools. Are we at a point where AIOps and APM can intersect and leverage artificial intelligence and machine learning to identify, diagnose, and fix application problems? This session will consider the evolution of complex application architectures and potential applications of AI for APM.
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Learn how to capitalize on the next phase of IT, and turn innovation into dollars. Understand top trends, including security, AI and open source and what thought leaders like IBM and leading analysts recommend.
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How can AIOps evolve from the analytics of technology focused verticals to improving the digital transformation and application experience that businesses value? In this session, we will look at today's limitations for AIOps to deliver on the promise of digital transformation and application experience (AX). How do we evolve the industry from technology vertical-based solutions to holistic ecosystem the caretakers that can translate business/application needs within an end-to-end technology solution?
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The value of AI is not found in the algorithms or how fast and accurately large quantities of data can be processed, but rather the ability of organizations to harness the technology to help propel their businesses. Business Service Reliability directly affects the bottom-line of any organization and is a higher calling to address with AI in IT Ops. This session will focus on the Business value of Service Reliability rather than focusing on intelligent alerting, noise reduction, capacity automation and auto scaling,
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CIOs are excited about digital transformation and the pace of innovation. While the ability to drive forward their businesses using IT is exciting, along with the agility and flexibility of newer IT infrastructure models, the fact that business will come to a standstill if information technology (IT) services go down is a scary proposition. Yet, most enterprises are trying to fix problems after they occur instead of preventing them from happening in the first place. Learn how you can use AI to solve the most complex problems the IT operations teams are facing by having machine learning help corporations with Anamoly Detection, Noise Reduction, Eent Consolidation, Capability Planning, Service Ticket Analytics, etc.
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As businesses increasingly increase the number of cloud provider they use, their IT operations are inevitably going to become more complicated as a result. While point systems have worked to provide enough visibility thus far, as IT infrastructures increase in complexity, the strain on IT teams to make sense of data from multiple sources will quickly outstrip their capabilities. AIOps can help. This session will discuss why AIOps is the solution to the multicloud problem. How will it help IT teams effectively aggregate data from multiple sources and automate advanced analytics to deliver actionable intelligence? What impact will it have on services and applications, costs, and user experiences?
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With five generations of people in the workforce today, the challenge for an organization has never been greater to support the way their people work. As an IT executive, your CEO expects you to take a lead role in the transformation of your company's workplace. Improving collaboration, attracting new talent, leveraging new technology, and reducing real estate costs are just several dynamics in supporting the new landscape of work that requires your attention now. Attend this session to learn about the top trends transforming the workplace and what strategies you can use to ensure transformation success, such as AI driven cognitive workspaces. If workplace transformation is on your radar, this session is a must!
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I tried to build a 'magic' IoT experience and discovered some very hard technical realities. This talk is a reflection on that experience. While we are building interesting IoT products today, they are unfortunately fragile, tedious, and user hostile. We don't stop often enough to reflect on our tools. What are we missing? What do we need? We're so focused on short term product cycles that we don't stop and realize it's harder than it should be. This talk will reflect on my "failed" project and what we as an industry could be focusing on instead.
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New trends, such as microservices, hybrid cloud, edge computing and IoT, are all creating more complex application infrastructures – with the intent of delivering better end user experiences. DevOps is supposed to increase agility and flexibility of app development and rollout, but the problem is the complexity of new apps makes it harder to actually perform troubleshooting and other DevOps functions. AIOps brings the automation that DevOps needs to be effective in complex app environments.
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As more and more IT organizations look to improve their operational capacity with AIOps, there are certain steps that are necessary to help ensure a successful deployment. This session will walk attendees through proven best practices for preparing for AIOps.
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To prevent service outages and other problems resulting from the demands placed on IT infrastructures, businesses are starting to leverage AI in their IT operations (AIOps) to help IT teams operate more efficiently and ensure service, application, and network reliability and availability. This is a major shift in IT philosophy and requires an implementation strategy to define processes, roles, and skillsets needed for a successful migration to AIOps. In this session, panelists will discuss best practices for successful AIOps implementation, including what IT teams need to know as they embark on a journey that will ultimately help make their jobs easier.
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