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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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

  • Published on 22 Sep, 2021 in

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

  • Published on 22 Sep, 2021 in

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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William Hill shares how AI and machine learning play a massive role in self-healing and the transformation that is taking place. Five years ago, companies would not be willing to even trust machines to start to make that decisional data. Today, it’s absolutely key to get visibility of all the piece of the jigsaw before making decisions on what can affect critical business services. AI helps analyze that metric explosion and make sense of it, because humans are limited by that. Not just understanding what the root cause of the problem is, but actually processing all this data coming through. https://www.williamhill.com/
AI in Retail and AI loss prevention.
The scale and complexity of networks supporting IoT will quickly outstrip human capabilities to defend them. Devices can be elusive; they will hide behind gateways and roaming arrangements. The challenge is how to monitor and learn the behavior of the different classes of devices. IoT devices are like flocks of birds: they move in large groups in the same direction; when one deviates, usually the rest of the group deviates. We can use unsupervised machine learning techniques with a 5-step process to help solve the IoT Security problem. 1. Observe; 2. Cluster; 3. Detect Anomalies; 4. Root Cause Analysis; 5. Remediate.
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.
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.
When a major food and beverage retailer decided that it needed more insight into the impact of its customer-facing campaigns as well as a way to develop more targeted promotions, the organization turned to Capgemini to develop a solution. Capgemini worked with its partner to implement an artificial intelligence-based predictive model to forecast campaign success rate and define return on investment measurement frameworks.
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Docker on IoT devices

Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.

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