Category: AI
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When a Podcast Archive Becomes a Research System
A peer-reviewed paper based on 52 of my podcast interviews made me realise I had built more than a content archive. Here’s how I now turn hundreds of transcripts into searchable, traceable evidence, and why the research base keeps getting stronger as new interviews are added.
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Your Supply-Chain AI Pilot Worked. So Why Didn’t It Scale?
This post examines why supply-chain AI pilots often fail to deliver lasting value, focusing on the importance of operational capability over technical success. Based on 43 interviews, it identifies key mechanisms like data production and decision authority, emphasising that without proper integration and organisational support, even successful models can falter.
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AI Is Not Software. It Is Infrastructure
Water disputes highlight the urgent need for sustainable practices amid increasing AI infrastructure demands. With AI moving from a technology-driven focus to an infrastructure and governance concern, organisations must integrate sustainability into their AI strategies. This careful approach can mitigate risks related to energy use, water scarcity, and community impact.
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The AI Climate Tools You Can Actually Trust: ChatNetZero and ChatNDC Explained
AI tools have revolutionized many fields but often provide inaccurate climate information. Researchers developed ChatNetZero.ai and ChatNDC.org to ensure reliable climate data, countering misleading AI outputs. As governments and corporations make net zero pledges, accurate tools are crucial for informed decision-making and restoring trust in climate policies.
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AI’s Energy Myth: Why Data Centres Aren’t About to Break the Grid
The article critiques the exaggerated claims about the energy consumption of AI-driven data centres, arguing that predictions often lack grounding in reality. Historical trends show significant efficiency gains in data centres, and current forecasts suggest limited energy use from AI. It advocates for smart regulation and integrating renewable energy, cautioning against misallocated capital based on…
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Cloud and AI: Powering a New Era of Innovation in the Utility Sector
The utility sector is transforming in response to climate change, shifting from centralized to decentralized, renewable energy models. Cloud computing and AI are essential for managing complexities such as real-time data processing, predictive maintenance, and enhancing cybersecurity. Embracing innovation is vital for sustainability, efficiency, and addressing regulatory and cultural challenges.
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AI Streamlining Business Processes and Promoting Sustainability
Artificial intelligence (AI) is revolutionizing business operations and sustainability efforts. In a discussion with aiOla’s CEO, Amir Haramaty, we explored how AI enhances speech-to-data conversion and optimizes processes in industries like logistics and pharmaceuticals. By reducing waste, optimizing resource use, and enabling more responsible practices, AI is shaping a sustainable future for businesses worldwide.
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Harnessing AI in the Climate Crisis: Opportunities, Challenges, and the Future
As an advocate of emerging technologies, I’m often at the forefront of witnessing the transformative power of innovations like Artificial Intelligence (AI). Today, I want to talk about how AI and particularly Generative AI systems, such as OpenAI’s ChatGPT, Google’s Bard, and the increasing number of open source Generative AI systems that are emerging, can…