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Top 5 Ways AI is Changing IT
Automated event correlation can save organizations up to 40% in ongoing operational costs according to research from IDC. Mist AI offers automated event correlation capabilities that can provide significant cost savings. Their website provides demonstrations and information about how Mist AI's technology works.
Top 5 Ways AI is Changing IT
- 7. According to IDC,automated event correlation can save up to 40% in ongoing operational costs.
- 15. See It InAction Learn About Mist AI
Editor's Notes
- #2 Top 5 Ways AI is Changing IT
- #3 From virtual network assistants to location services… Here are 5 ways AI is making your life better with the Mist Learning WLAN.
- #4 1) Natural Language Processing (NLP) Puts a Face on AI NLP helps you easily understand everything that is happening in your network with simple queries, elastic search, feature ranking, data mining, and more.
- #5 With NLP, IT becomes proactive and gets smarter and faster over time
- #6 It’s like having your own virtual network assistant for simplified operations and integrated help desk functions.
- #7 2) Automated Event Correlation Cuts Troubleshooting Time AI helps identify problems across the wired, wireless, and device domains for rapid fault isolation and resolution.
- #8 40% Cost Savings: According to IDC, automated event correlation can save up to 40% in ongoing operational costs.
- #9 3) Set, Monitor, and Enforce User Service Levels Set up and track service level thresholds for key user performance criteria, such as time to connect, capacity, coverage, roaming, and throughput.
- #10 Identify if user service levels are trending in a negative direction and predict what kind of experience can be expected in the future.
- #11 4) Understand Trends Over Time and Across Global Data Sets Proactively detect anomalies and determine the scope of incidents.
- #12 Are issues associated with… a particular client? Particular site? An entire network? Certain type of device? Specific application? Operating system?
- #13 By tracking metadata across many locations and users, global trends can be easily detected and addressed using machine learning.
- #14 5) Machine Learning Calculates Location with 1 to 3m Accuracy By calculating path loss and other data in the cloud, high accuracy location can be delivered without battery powered beacons.
- #15 This enables personalized indoor location services to be deployed easily at scale, such as wayfinding, proximity notifications and asset finding.
- #16 The Mist Learning WLAN is powered by our AI engine, Marvis. See it in action! Learn about Mist! Marvis is built on: Data, Measurement, Data Science, Virtual Assistant