Challenges of Operations Knowledge in DevOps Period
Each department manages knowledge independently without sharing. There is technical threshold between departments. Efficiency of communication is pretty low.
With sole function, traditional knowledge application can’t recommend related knowledge and has difficulty in getting knowledge accurately. So user experience is not good.
Maintenance cost of traditional knowledge system is huge. Users can’t input and update knowledge automatically.
Operations Knowledge Services Keep Evolution
operations knowledge services
provide operations knowledge services for DevOps and build operations knowledge network, recommend knowledge intelligently, search knowledge accurately and answer knowledge questions based on correlating various knowledge source and domain cognitive intelligence to explore value of operations knowledge and improve efficiency of DevOps
operations knowledge services
provide operations knowledge services for DevOps and build operations knowledge network, recommend knowledge intelligently, search knowledge accurately and answer knowledge questions based on correlating various knowledge source and domain cognitive intelligence to explore value of operations knowledge and improve efficiency of DevOps
Key Advantages
Efficient
•manage operations knowledge efficiently: automatic knowledge classification based on topics
•get operations knowledge with one click: improve efficiency to deal with IT event analytics
•voluntary subscription of operations knowledge: push knowledge and improve application value of knowledge
Intelligent
•keep revolution: improve quantity and quality of knowledge based on domain cognitive intelligence
• intelligent recommendation and search: recommend knowledge based on user profile and search accurately based on semantic search to provide complete and accurate operations knowledge
Economical
•pay as you go: charge based on active users and knowledge set usage
•offset cost with points: based on contribution and sharing
Key Advantages
Efficient
•manage operations knowledge efficiently: automatic knowledge classification based on topics
•get operations knowledge with one click: improve efficiency to deal with IT event analytics
•voluntary subscription of operations knowledge: push knowledge and improve application value of knowledge
<p style="margin-bottom: 30px;"><img src="/images/anyrobot/anyrobot-OperationsKnowledgeServices/05-value-02-m.png" /></p>
<div class="l-box" style="color: #242f92; magin-bottom: 30px;">
<p class="l-title" style="text-align: center; font-size: 20px; color: #242f92; margin-bottom: 20px; line-height: 1;">Intelligent</p>
<p class="l-content" style="color: #333; font-size: 16px; text-indent: -10px;"><b class="dot">•</b>keep revolution: improve quantity and quality of knowledge based on domain cognitive intelligence</p>
<p class="l-content" style="color: #333; font-size: 16px; text-indent: -10px;"><b class="dot">•</b> intelligent recommendation and search: recommend knowledge based on user profile and search accurately based on semantic search to provide complete and accurate operations knowledge</p>
</div>
Economical
•pay as you go: charge based on active users and knowledge set usage
•offset cost with points: based on contribution and sharing
Scenarios of AnyRobot Operations Knowledge Services
- Scenario A
- Scenario B
- Scenario C
- Scenario D
- Scenario E
- Scenario F
Automatic knowledge input
•Traditional knowledge management has difficulty in managing isolated knowledge, manual input, huge maintenance cost, sole knowledge structure, etc.
•AnyRobot supports various data source and builds operations knowledge graph with domain cognitive intelligence to connect and integrate knowledge
Knowledge management based on topic
•It takes lots of efforts and labor to build knowledge system with traditional knowledge management and knowledge management using ITSM ticketstructure, etc.
•AnyRobot can classify and manage knowledge automatically based on topics to build efficient and intelligent knowledge management system
More accurate knowledge search
•Traditional knowledge management is based on key words search for document sets or ticket reports. It takes lots of time to search knowledgestructure, etc.
•AnyRobot returns accurate answers and provides graph explanation and related reading for inference to help users find knowledge more quickly and accurately
Personal intelligent recommendation
•Traditional knowledge management can’t recommend knowledgestructure, etc.
•AnyRobot generates user behavior profile based on user behavior of knowledge base and recommend knowledge based on the profile to recommend accurately for different users
More intelligent knowledge Q&A
•Traditional knowledge management requires to answer questions by human. So efficiency of response is pretty low.structure, etc.
•AnyRobot understands user questions and returns answer sets with Chatbot to provide more accurate solutions.
User-friendly knowledge subscription
•There are lots of knowledge materials in the knowledge management system. It takes much time to search knowledge. So users can’t get updates in time.
•Users can subscribe and follow knowledge with knowledge subscription service by AnyRobot. Users will be informed of updates to learn news in time and improve application value of knowledge.
Scenarios of AnyRobot Operations Knowledge Services
-
Scenario A
-
Scenario B
-
Scenario C
-
Scenario D
-
Scenario E
-
Scenario F
How to get started with operations knowledge services?
How to get started with operations knowledge services?
