Operations | Monitoring | ITSM | DevOps | Cloud

The Importance of Accurate Data to Get the Most From AI

The IT service community is rightly buzzing about the wealth of possibilities AI offers to automate service management operations and better assist customers — especially in this age of expanding Everywhere Work. But without sound data, the path to leveraging AI for IT service management becomes quite daunting. With so many more people working outside a traditional office setting, more end users than ever are logging in more often to access employee services.

Is Artificial Intelligence for Infrastructure and Operations really just Intelligent Automation?

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

The Impact of AI on Data Accuracy

Decomplexify Your Everything Chrystal Taylor and Jeff Stewart The increasing complexity of IT means new skills are always needed to keep up and stay relevant, but acquiring new skills takes time. Having the right set of tools is essential for success. In this session, we'll break down how to decomplexify and what the heck that means. It's time to consolidate what can be consolidated, break down barriers, reduce waste, and manage the madness.

What is Business Consulting? Starting A Consulting Business With Software & Workflow AI

Business consultants are leveraging software and workflow AI to radically elevate service delivery. ‍ According to a survey by Hinge Marketing, the top three reasons businesses hire consultants are to (70%) access specialized expertise, (52%) gain an outside perspective, and (44%) supplement internal resources.

Building smart data platforms with AI to drive business innovation

Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI. In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.

How OpsRamp's Operations Copilot Will Bring Us One Step Closer to Autonomous IT Operations

As a key part of furthering its autonomous IT operations vision, OpsRamp, a Hewlett Packard Enterprise company, this week announced its new operations copilot feature, a natural-language interface that enables enterprises to identify, predict and solve IT problems more quickly by converting machine data into a human-friendly and actionable form.

OpsRamp Extends Observability to AI Infrastructure

Artificial intelligence is a game-changing technology across industries and business processes, designed to make workers more efficient, reduce the steps it takes to complete a task, and gain answers and insights faster. But those powerful capabilities also put new demands on compute infrastructure and this requires a new class of infrastructure observability metrics.

Monitor your AWS generative AI Stack with Datadog

As organizations increasingly leverage generative AI in their applications, ensuring end-to-end observability throughout the development and deployment lifecycle becomes crucial. This webinar showcases how to achieve comprehensive observability when deploying generative AI applications on AWS using Amazon Bedrock and Datadog.