VIDEO

The benefits of harnessing network data

Sudheer Matta, Vice President Product Management AI Driven Enterprise, Juniper Networks, shares some insights from the company’s recent virtual summit – Driven By Experience. A key theme was the importance of using a combination of data and AI, including AIOps, to help improve network resilience, reliability, security and, ultimately, performance.

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VIDEO

Making the most of MLOps

DW talks to Asger Pedersen, Technical Lead MLOPs at DataRobot, about the emerging opportunity around MLOps. The conversation covers everything from the MLOps basics, MLOps implementation best practices and the benefits this relatively new technology offers. Asger also explains DataRobot’s approach to MLOps as well as sharing his views on how he sees the market developing over time.

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VIDEO

The solid state of storage receives an AIOps boost

DW talks to Ken Steinhardt, Field CTO at Infinidat, covering the company’s recently launched InfiniBox SSA solid state storage solution, as well as the role that AIOps has to play when it comes to delivering Infinidat’s Storage-as-a-Service, flexible consumption model. Ken also provides some fascinating insights into the company’s future plans and the storage market in general.

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VIDEO

Making the most of IT management - NinjaRMM

Andre Schindler, General Manager EMEA at NinjaRMM, provides an update on recent technology and business developments at the remote monitoring and management solutions vendor.

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VIDEO

Tackling cloud complexity with the right tools

Stela Udovivic, Director of Product Marketing, VMware Tanzu, explains how securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue.

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VIDEO

The role of AIOPS in successful cloud migrations

John Gentry, Chief Technology Officer and SVP Business Development, Virtana, discusses how AIOPS provides end users with a ‘know before you go’ confidence in terms of how/when/where to move apps into the cloud (or not).

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In 2019, the Hagenberg Lab opened its gates amid what we call the "Silicon Valley of Upper Austria" - the Softwarepark Hagenberg. Being nearby the FH Oberösterreich Campus Hagenberg, we work on core Dynatrace cluster components and our Data Scientists gather new insights that fuel our AI.
Data can change the world, but only if you do something with it. That’s why Splunk, the Data-to-Everything Platform, helps you turn real-time data into doing. It lets you bring real-time data to every question, decision and action that affects your organization. So you can turn that data into successful outcomes. When you turn data into doing, data becomes the key to everything. Say hello to Splunk, the Data-to-Everything Platform.
Kieran Taylor, Head of Marketing for Broadcom's Enterprise Software Division, walks through three ways you can improve the effectiveness of your IT Operations Management, DevOps and Product Planning teams through a new framework called BizOps.
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.
Understand the importance of an Automation Center of Enablement (COE) in going digital with your company.
In this Rally product training video, you will learn the value of Capacity Planning, and the steps in Rally to create a simple capacity plan. In agile practices, reliably meeting roadmap commitments requires real data and excellent communication of expectations among teams. Capacity Planning allows the team to use data and team history to predict the viability of a release plan and allows us to easily see where our hard commitments and our stretch goals lie.
Latest Video

How to Adopt an AIOps Strategy: CA Interview with Chris Kline

CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares how AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement. Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require.

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