What is AIOps in Splunk?

What is AIOps? AIOps is the practice of using big data, analytics and machine learning to automate and improve IT operations (ITOps) .

Does Splunk use artificial intelligence?

Get more out of Splunk with AI Assistants Stay focused on problem solving and let the AI Assistant make it easier. Splunk AI Assistant for SPL, powered by generative AI , allows you to tap into the power of Splunk quickly by both generating and explaining SPL queries using natural language.

What are Splunk differentiators?

The four differentiators that set Splunk apart from our competitors in observability are: Complete business visibility across your entire hybrid technology landscape . The ability to predict and prevent problems before customer awareness. Directed troubleshooting. OpenTelemetry native support.

Which is better, Splunk or Grafana?

In summary, both Grafana and Splunk are powerful platforms with distinct strengths and use cases. Grafana is well-suited for monitoring and visualization tasks, especially when integrating with various data sources, while Splunk excels in log management, real-time analysis, and operational intelligence.

What does AIOps stand for?

AIOps Definition AIOps stands for ' artificial intelligence for IT operations '. It refers to platforms that leverage machine learning (ML) and analytics to automate IT operations.

What are the 3 modes in Splunk search?

The three Splunk search modes are: Fast, Smart, and Verbose .

Why is Splunk so popular?

Splunk is embedded as part of the core nervous system of our operations. Splunk's ease of use and versatility have enabled us to deliver against both business and technology use cases that would have otherwise been impossible .

What is the difference between observability and AIOps?

AIOps focuses on automation, prediction, and efficiency, while observability is all about gaining deep insights into system behavior and performance .

What is the AIOps strategy?

In simple terms, AI Ops (Artificial Intelligence for IT operations) will automate & simplify complex modern IT operations management by the application of machine learning (ML) and data science to IT operations functions viz. availability, performance monitoring, event correlation and analysis.

What is the difference between MLOps and AIOps?

While MLOps excels in optimizing the Machine Learning lifecycle and enhancing data-driven decision-making, AIOps aids in IT operations and drives proactive infrastructure management . Understanding these differences is crucial for companies to choose the right methodology and align it with organizational goals.

What are the methods of AIOps?

AIOps technologies use modern machine learning (ML), natural language processing (NLP), and other advanced AI methodologies to improve IT operational efficiency. They bring proactive, personalized, and real-time insights to IT operations by collecting and analyzing data from many different sources.

Splunk Forum Frankfurt - 15th Nov 2017 - AI Ops

NOVEMBER 15 | FRANKFURT

Der Mehrwert aus Daten-getriebener Service Intelligence (AI Ops)

NOVEMBER 15 | FRANKFURT

Peter Swart | Business Value Consultant

René Siekermann | IT Markets Specialist EMEA

During the course of this presentation, we may make forward-looking statements regarding future events or

the expected performance of the company. We caution you that such statements reflect our current

expectations and estimates based on factors currently known to us and that actual events or results could

differ materially. For important factors that may cause actual results to differ from those contained in our

forward-looking statements, please review our filings with the SEC.

The forward-looking statements made in this presentation are being made as of the time and date of its live

presentation. If reviewed after its live presentation, this presentation may not contain current or accurate

information. We do not assume any obligation to update any forward looking statements we may make. In

addition, any information about our roadmap outlines our general product direction and is subject to change

at any time without notice. It is for informational purposes only and shall not be incorporated into any contract

or other commitment. Splunk undertakes no obligation either to develop the features or functionality

described or to include any such feature or functionality in a future release.

Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in

Forward-Looking Statements

THIS SLIDE IS REQUIRED FOR ALL 3 PARTY PRESENTATIONS.