The Numerify Blog
- July 14, 2020
4 IT Cost Reduction Strategies to Keep Your Organization Sustainable
Getting More Done With the Same Size IT Team In the current environment, cost-cutting is…
Read more - June 25, 2020
What Does AIOps Mean for Digital Transformation?
AIOps is a powerful alliance formed between DevOps, analytics, machine learning (ML), and artificial intelligence…
Read more - June 23, 2020
Looking for an AIOps Solution? Make Sure It Meets These 4 Criteria
IT organizations looking to gain greater efficiencies while reducing the risk of business disruptions may…
Read more - June 04, 2020
How Analytics Drives a Culture of Continuous Improvement at Rogers Communications
First, as a guest blogger please allow me to introduce myself. I am responsible for…
Read more - June 02, 2020
How AI Is Reshaping IT in 2020
AI has been given a major trial-by-fire in 2020, one that no one could have…
Read more - April 24, 2020
5 Ways to Use NLP for Smarter Incident Management During a Crisis
This is the second of a two-part series on this topic. Part 1 introduces Natural…
Read more - April 23, 2020
IT Operations Metrics That Can Predict a Looming Major Incident
Your teams have spent years building your organization’s networked systems and connected applications. Now they’re…
Read more - April 16, 2020
What Is AIOps, and Why You Need It Now, More Than Ever
By deriving insights with AI-backed analytics and automating tasks, AIOps promises greater efficiency and productivity for IT organizations, freeing up resources to provide additional value to the enterprises they serve.
Read more - March 17, 2020
Adding Agility to the Change Management Process
The use of IT business analytics can enable change advisory boards (CABs) and IT operations teams to be more agile. Change management processes can be improved by insights derived from historical data sourced across all key systems of record.
Read more - March 10, 2020
Top Five Challenges to Change Management in 2020
We are in the midst of a bold new transition in IT operations: away from…
Read more - February 04, 2020
How to Make Decisions to Mitigate Change Risk (Part 4)
Once risks in the production environment are identified, an organization must make appropriate response decisions…
Read more - January 28, 2020
How IT Operations Can Anticipate Change-Related Risks (Part 3)
Using data generated from key systems of record and analyzed using a System of Intelligence…
Read more - January 21, 2020
Evaluating the Data You Are Using to Manage Production Risk (Part 2)
Using the right IT analytics techniques reveals which risks are present, how likely they are…
Read more - December 09, 2019
Using AI to shift from reactive to proactive major incident management
What Predicting Tornadoes and Major IT Incidents Have in Common When the weather turns bad,…
Read more - September 30, 2019
IT Service Delivery Friction: Defining It, Identifying It, and Eliminating It
When friction develops between processes or IT teams, it can slam on the brakes for…
Read more - July 02, 2019
Why Smart Incident Management Needs NLP (Part 1)
Better incident management is a critical area of focus for all IT organizations given the…
Read more - May 23, 2018
How Does IT Operations Analytics Fit Into a System of Intelligence?
IT operations analytics, or ITOA, is sometimes confused with a System of Intelligence for IT…
Read more - February 22, 2018
Mastering Change with Machine Learning
Change success is a critical concern for IT leaders, because both the frequency of changes…
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