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Eight Top DataOps Trends for 2022

DataKitchen

Keep an eye on the eight top trends below that we believe will be significant in the year 2022. In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Quality test suites will enforce “equity,” like any other performance metric.

Testing 245
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved.

Metrics 360
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

ChatGPT set off a burst of excitement when it came onto the scene in fall 2022, and with that excitement came a rush to implement not only generative AI but all kinds of intelligence. How does our AI strategy support our business objectives, and how do we measure its value? What are we trying to accomplish, and is AI truly a fit?

Strategy 141
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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 117
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A PM’s Guide to Forging an Outcome-Driven Product Team

Speaker: Kim Antelo, Transformation Coach

Many businesses implement Objectives and Key Results, but few focus on smaller, more measurable outcomes at the team or product level. When a team is primarily concerned with the quantity and speed of releases, it is more difficult for them to solve product problems in measurable ways. How to add value rather than just features.

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What Is Hyperautomation?

O'Reilly on Data

Gartner has anointed “Hyperautomation” one of the top 10 trends for 2022. How can you use it to analyze your current situation, and measure the results of any actions you take? As a result, your relationship to many important financial metrics changes. Should it be? Is it a real trend, or just a collection of buzzwords?

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. With DataRobot AI Cloud, you can see predicted values and accuracy for various metrics for the Champion as well as any Challenger models.]. Model Observability with Custom Metrics.

Metrics 145