Remove 2018 Remove Management Remove Measurement Remove Testing
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Generative AI’s change management challenge

CIO Business Intelligence

BCG asked 12,898 frontline employees, managers, and leaders in large organizations around the world how they felt about AI: 61% listed curiosity as one of their two strongest feelings, 52% listed optimism, 30% concern, and 26% confidence. A lot has happened since that last survey on attitudes to AI in 2018.

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Model Interpretability with TCAV (Testing with Concept Activation Vectors)

Domino Data Lab

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? TCAV “uses directional derivatives to quantify the degree to which a user-defined concept is important to a classification result” ( Kim et al 2018 ). Introduction.

Testing 63
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How To Succeed As a DataOps Engineer

DataKitchen

A DataOps Engineer can make test data available on demand. DataOps Engineers have tools that we apply to all of the pipeline orchestrations that we manage. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. We don’t want to embarrass anyone.

Testing 246
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Will enterprises soon keep their best gen AI use cases under wraps?

CIO Business Intelligence

They had ChatGPT write the script, and other gen AI tools to create a digital person who reads the script, a scalable process with at least one measurable benefit: speed. Helping software developers write and test code Similarly in tech, companies are currently open about some of their use cases, but protective of others.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250
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Decision-Making in a Time of Crisis

O'Reilly on Data

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. This may be true, but the downside risk in this case could be fatal.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.