avatarharuki zaemon

Bringing Strategy & Vision to Life:

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When to Change Your Company’s P&L Responsibilities

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How Cafeyn Gained Operational Efficiency by Increasing Data Access

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First-Time Managers Are Burning Out. Here’s How to Manage.

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Mailbag: Resources for Engineering Directors.

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7 things I’ve learnt running a business where everyone works remotely

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It’s Time To Bridge the Gap Between Data People and Non-data People

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Practical Challenges for Ethical AI

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This White Paper examines four key challenges that must be addressed to make progress towards developing ethical artificial intelligence (AI) systems. These chal- lenges arise from the way existing AI systems reason and make decisions. Unlike hu- mans, AI systems only consider the objectives, data and constraints explicitly pro- vided by their designers and operators. They possess no intrinsic moral awareness or social context with which to understand the consequences of their actions. To build ethical AI systems, any moral considerations must be explicitly represented in the objectives, data and constraints that govern how AI systems make decisions.

The Scoop: Inside Fast’s Rapid Collapse

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Ability to See Expertise is a Milestone Worth Aiming For

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Endowment Effect - The Decision Lab

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Guiding principle: the basic unit of product development is the team, not the individual

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Why Won't Someone Give Me a Promotion?

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How hotels are becoming better places to work

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‘I Would Like to Be Paid Like a Plumber’

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The Tragic Futility of Investing to Catch Up - Roger Martin - Medium

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Distinguishing How-to-Win from Capabilities in Your Strategy Choice

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The Rule of Fear and the Rules for Fear

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It’s Time to Accept that Pay for Performance Doesn’t Work

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Women Face a Double Disadvantage in the Hybrid Workplace

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