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What Are SEIPs? The New Way Engineering Leaders Measure Successful AI Adoption
This story was originally published on HackerNoon at: https://hackernoon.com/what-are-seips-the-new-way-engineering-leaders-measure-successful-ai-adoption.
Software Engineering Intelligence Platforms (SEIPs) are like EMPs with an added element of intelligent data gathering and analysis.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #future-of-ai, #ai-trends, #seips-explained, #what-are-seips, #layered-data-points, #analytical-metrics, #internal-benchmarks, and more.
This story was written by: @alex.circei. Learn more about this writer by checking @alex.circei's about page,
and for more stories, please visit hackernoon.com.
Software Engineering Intelligence Platforms (SEIPs) track performance not just based on task completion. They leverage multiple data sources, create unique metrics using aggregated data, carry out complex analysis and have predictive capabilities. Unlike EMPs, SEIPs will integrate contextual data that helps to understand the value of people’s work.
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By HackerNoon
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This story was originally published on HackerNoon at: https://hackernoon.com/what-are-seips-the-new-way-engineering-leaders-measure-successful-ai-adoption.
Software Engineering Intelligence Platforms (SEIPs) are like EMPs with an added element of intelligent data gathering and analysis.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #future-of-ai, #ai-trends, #seips-explained, #what-are-seips, #layered-data-points, #analytical-metrics, #internal-benchmarks, and more.
This story was written by: @alex.circei. Learn more about this writer by checking @alex.circei's about page,
and for more stories, please visit hackernoon.com.
Software Engineering Intelligence Platforms (SEIPs) track performance not just based on task completion. They leverage multiple data sources, create unique metrics using aggregated data, carry out complex analysis and have predictive capabilities. Unlike EMPs, SEIPs will integrate contextual data that helps to understand the value of people’s work.