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Anders Wallgren (CTO, Electric Cloud)
Date: Wednesday, May 22
Time: 3:30pm - 2:20pm
Pass type: All Access, Conference - Get your pass now!
Track/Topic: DevOps, IT Strategy
Format: Conference Session
Vault Recording: TBD
Audience Level: Introductory
"An investment in knowledge pays the best interest." – Benjamin Franklin.
Technology is shifting and growing at rates that are challenging for even the largest enterprises to keep up with, with no signs of slowing down. What is at the core of this rapid growth? Software delivery. While there are countless tools in place to help automate the release process, the human element cannot be ignored. Training tech teams is increasingly important. However, committing to training software delivery teams can be expensive, time consuming and often ends in diminishing returns. Employees daydream of being anywhere else besides time-sucking, monotonous sessions that are far from personalized or relevant to real business value. With many high-value initiatives on the table at any given time, there also comes a high level of risk. Being able to appropriately train teams to reduce this risk is key to success.
In this session, we will discuss how machine learning and artificial intelligence can be used to combat the traditional issues with training programs. We will also cover five common ways to reduce risk in high-value releases, including:
1) Understanding the value in each release
2) Understanding the history of releases and the history of teams to understand risk
3) Provide reporting for teams so they get a sense of where they are in delivering value
4) Make sure all deployments are the same, every time
5) Use the knowledge you have about risk/reward to train your team to up level their skills