Axe Abdimajid Ahmed

AI for Decision Making: A Data-Driven Revolution

Aug 20, 2023

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Introduction: AI is Changing the Game—Are You Ready? You’re standing at the edge of a decision. It could be about your business, your next move in the market, or even a shift in strategy that could make or break your future. Now imagine having more than instinct and experience to guide you—imagine having AI at…

Scaling Success: Advanced Product & Digital Strategy Lessons from HBAP

Jul 7, 2023

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Axe Abdimajid Ahmed

in OpenMind AI Journal

Introduction: From Early Validation to Global Scale In the first part of this series, we explored the foundational elements of digital and product strategy behind the success of the Harvard Business Analytics Program (HBAP)—leveraging brand power, understanding market timing, and creating a transformative experience. But success is not just about launching a product. It’s about…

Launching a Global Success: Lessons from Harvard’s Business Analytics Program in Product & Digital Strategy

Jun 18, 2023

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Axe Abdimajid Ahmed

in OpenMind AI Journal

Introduction: A Journey from Concept to over $85 Million in Revenue In 2018, we embarked on an ambitious project: launching the Harvard Business Analytics Program (HBAP), a high-impact, online certificate designed to equip professionals with cutting-edge skills in AI, data analytics, and machine learning. At the time, the demand for business analytics expertise was growing…

AI Strategy: Crafting a Roadmap for Organizational Success

Apr 23, 2023

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Axe Abdimajid Ahmed

in OpenMind AI Journal

Artificial intelligence (AI) is now essential for innovation and efficiency across industries, with significant global spending projected. Organizations must define clear objectives, invest in data quality, and build multidisciplinary teams to effectively implement AI. Ethical considerations are crucial, as businesses embrace AI for growth while ensuring responsible use. Preparedness is key to leveraging AI.

The Illusion of Choice: Free Will and the Power of Predictive Analytics

Mar 12, 2023

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Axe Abdimajid Ahmed

in OpenMind AI Journal

The debate on free will versus determinism intensifies with neuroscientist Sam Harris asserting free will is an illusion shaped by prior causes, while philosopher Daniel Dennett argues for degrees of freedom. The rise of predictive analytics raises ethical questions regarding privacy, autonomy, and control, challenging our sense of agency amidst data-driven predictions.

Privacy and Security: Protecting Data in the Age of AI

Feb 11, 2023

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Axe Abdimajid Ahmed

in OpenMind AI Journal

The article discusses the pervasive trade-off between privacy and convenience in the digital age, where personal data is exchanged for online services. It highlights the dual role of AI as both a protector and potential invader of privacy, addressing the risks of data breaches and the ethical dilemma surrounding innovation versus privacy protection. As a…

Bias Behind the Code: The Need for Diversity in AI and Machine Learning

Jan 15, 2023

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Axe Abdimajid Ahmed

in ai

The development of AI and machine learning models has significant bias due to the lack of diversity among their creators, predominantly white, male programmers. This homogeneity leads to cultural blind spots, biased data selection, and problems misrepresenting underrepresented groups. Increasing diversity is crucial for creating fair and effective AI systems that serve all populations adequately.

Judging the Judges: A Solution to Algorithmic Bias in Criminal Justice

Dec 16, 2022

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Axe Abdimajid Ahmed

in ai

The increasing use of algorithmic risk assessment tools in the U.S. justice system often perpetuates racial bias, leading to unfair outcomes, especially for marginalized groups. The proposed Algorithmic Judge Oversight System (AJOS) aims to monitor judicial decisions, promote accountability, and enhance fairness while preserving the human element of judgment to reduce biases effectively.

Bias in AI: A Call for Fairness and Equity

Oct 25, 2022

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by

Axe Abdimajid Ahmed

in ai

The content discusses the urgent issue of bias in AI systems, particularly in criminal justice and healthcare. It highlights how algorithms can exacerbate inequalities, leading to discrimination against marginalized groups. The proposed Algorithmic Judge Oversight System aims to monitor judicial bias, promote fairness, and ensure accountability in decision-making, emphasizing the need for ethical AI development.