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yet2 Insights: The Future of Artificial Intelligence

Yet2

While the term “artificial intelligence” itself may be new, ever since humankind started building devices that could move on their own, we’ve imagined the facsimile of life. In healthcare, researchers are testing AI software that draws doctors’ attention to potential concerns, like polyps, during routine scans.

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Goodhart’s Law: When a target becomes its own enemy

Idea to Value

One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning. If humans set a specific target for an Artificial Intelligence system, it will try everything it can to optimise its performance to meet that target.

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Innovative Team Collaboration: Igniting Creativity for Extraordinary Results

Leapfrogging

Nurturing Innovative Team Collaboration In the rapidly evolving business landscape, innovative team collaboration has become a cornerstone for companies seeking to remain competitive and adaptive. In this context, team collaboration isn’t just recommended; it’s imperative for survival and success.

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Three Ways to Leverage Software Engineering Intelligence for Enhanced Delivery Efficiency

Planview

Engineering teams comprise a complex web of interdependent teams, tools, and processes. Often, the challenges that plague engineering teams originate in an upstream department. For example, if an engineering team’s velocity has slowed, it might be because an overzealous ideation team consistently commits to too much work.

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

Are we leveraging Artificial Intelligence (AI) or Machine Learning enough from the explosion of data to identify patterns and insights leading to emerging concept creation? Equally, components are oriented towards learning, knowledge, creativity, design, and testing—essential tasks in the innovation process.

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Navigating the Pitfalls of Google’s Performance Max for Online Advertising

Brunner

We’ve seen strong performance from PMax, but poor performance, too — and without data insights to understand how and why. Read on for lessons learned from our team’s experience as a PMax early adopter and evolution into a power user, and from our perspective as a Google Premier Partner.

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Why you need a faster, more nimble culture

Jeffrey Phillips

Strategy should be continually developed and re-evaluated, rather than developed once and put on a shelf. For decades, we've nurtured a careful, risk adverse, wait and see culture in most businesses, which is reinforced by compensation models, personnel recruitment and promotion, little tolerance for risk and uncertainty.

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