Ian G.

Audio recording from live session "How to Prevent AI Transformation Failures" ↳ Sponsored by Freshriver, this sharp, focused, and interactive live discussion earlier today, was a 30-minute, rapid-fire, no-fluff conversation series to discover how to navigate the challenges of AI transformations and maximise ROI. ↳ Thanks to the 19 leaders who graciously attended from their busy schedules, and provided some thought provoking insights (some of which I had not considered!). ↳ To keep it interesting I leveraged notebooklm to convert this live session into a 'mini podcast'. ↳ Listen to the 20 min podcast recording narrated by 2 hosts (James Sterling and Sophia Blake); this version provides the salient points of which I facilitated in the session, targeted at Executives, CEOs and Boards. Steven Paul leads a 30-minute session for CEOs on avoiding AI failures. Key points: • Real-world examples from Microsoft, McDonald's, and Uber • Common challenges: unclear strategy, poor data, workforce resistance • Practical solutions: culture, implementaiton, AI frameworks, employee training If you are CEO, Head of Function executive or Board looking to succeed in AI implementation, these are great insights from myself and other leaders who attended. Get in touch with me to receive complementary blueprints, further insights, and lets discuss how I can connect you with other leaders to will help you grow. Contact me directly on [email protected] Full version here on Spotify..

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From metals such as cobalt that are critical to the clean energy transition to threats to world rice production, action on climate change and nature is essential for supply chain resilience and growth. Read @PwC UK’s article in collaboration with @New Scientist to explore how actionable data and technology are helping organisations build resilience against these shocks, unlocking commercial value and fuelling a sustainable supply chain revolution. https://bit.ly/45pN9xh #NetZero #Sustainability #SupplyChains #Scope3

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This is a great reminder to reflect on the need for responsible AI and at some point responsible Quantum when it’s unleashed. As collective Stewards, we must challenge ourselves to count the cost of the new advancements. Especially, the potential unintended consequences in circular economies. “Just because we can do certain things, doesn’t mean we should“ #responsibleai. #sustainability https://lnkd.in/ePvH4wuw

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This is a great reminder to reflect on the need for responsible AI and at some point responsible Quantum when it’s unleashed. As collective Stewards, we must challenge ourselves to count the cost of the new advancements. Especially, the potential unintended consequences in circular economies. “Just because we can do certain things, doesn’t mean we should“ #responsibleai. #sustainability

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Fascinating research that shows how incumbent companies that launch sustainable products and services increase revenue faster than companies that aren’t stepping into the green economy. Great example of how the marriage of AI with Large Language Models (LLM) can measure the success of a Sustainable Business approach for companies. This study investigates the financial characteristics of firms offering climate solutions through products and services aimed at fostering a transition to a low-carbon economy. The study uses a new measure that applies LLM to 10-K Item 1 Business Description to quantify a firm’s focus on climate solutions. Highly recommended reading the article but also downloading the report. Truly fascinating and proves Sustainable business is good business!  #Sustainability #sustainabilityisgoodbusiness https://lnkd.in/grfdse7M

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🦖Dinosaurs’ Playbook: Embrace AI or Fossilize 😀🦖 Had an interesting conversation with a CEO recently. As we spoke, I could see the fear of obsolescence in their eyes—a fear that their once dominant company, might soon be outpaced by a wave of AI-native competitors. But here’s the truth: stomping over AI-native startups and companies is not a strategy. Trying to outmuscle innovation only accelerates irrelevance. My advice to this CEO? Transform that fear into action. To stay relevant in the AI era, it’s time to innovate with purpose, not force. 💡Define an Audacious AI Vision: AI isn’t a quick fix or a bolt-on solution. CEOs need to articulate a bold, future-facing AI vision that inspires every corner of the business. AI is a strategy, not a side hustle—it’s time to embed it into the DNA of your business and make it a boardroom agenda item. 💡Foster an AI-Native Culture: Winning with AI means reshaping your organization’s mindset. It’s not about trying to compete with AI-native startups’ speed—it’s about empowering your teams to think, learn, and innovate like one. Build a culture that values experimentation over perfection, data over hierarchy, and curiosity over complacency. Invest in AI literacy, encourage AI curiosity, and create incentives for every team to play a role in AI innovation. 💡Evaluate Your Data and Tech Infrastructure: AI is only as powerful as the data and technology it runs on. Legacy data silos and outdated infrastructure will strangle AI innovation. CEOs must invest in transforming their data ecosystems to be accessible, secure, and quality-driven. Bring in modernized cloud systems, leverage clean data, and think data-driven by design. Rethink where on prem is absolutely needed. 💡Lead with Startup Agility and Speed: Traditional companies are often held back by slow decision-making and red tape, while startups pivot, adapt, and learn faster. Adopt a more agile approach—empower teams to experiment, make data-driven decisions quickly, and fail forward. Embrace a test-and-learn culture at every level, from product teams to the C-suite. Speed and agility aren’t just advantages—they’re survival essentials in the AI race. 💡Prioritize Responsible AI Governance: Governance is what builds trust, accountability, and transparency with your customers and stakeholders. Without a strong AI governance posture, you may show up—but you won’t win in AI. 🚀Generative AI and advanced AI applications aren’t optional anymore; they’re essential for future relevance and resilience. To the leaders of traditional companies: staying relevant means embracing AI not as a threat, but as the biggest opportunity in decades. It’s time to get bold, governed, and agile—or risk becoming the “dinosaurs” of the past 🦖🦕 I talked about AI governance with Yahoo Finance #ai #genai #responsibleai #aigovernance

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40% more food needs to be created to feed the world's inexorable growth towards 10 billion people, even as climate change threatens the very existence of vast populations across the globe. Released today at #COP29, Deloitte’s new report explores how transforming the global food system could help lower global food prices by 16% and generate US$121 trillion in global GDP gains by 2070. #SustainableFoodSystems #DeloitteSustainability https://deloi.tt/4hvmu87

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It is fascinating to note that among the 10 venture-backed climate tech companies with a high probability of going public, at least 5 are focused on battery technology. This data from Pitchbook highlights the growing significance of batteries in decarbonization and energy storage. Sila Nanotechnologies, Inc. Arcadia Northvolt Verkor Mainspring Energy Form Energy Lyten KoBold Metals Xpansiv Climeworks #decarbonization #energystorage #batteries #batterytechnology

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It's Not About #GenAI Language Models, It's About the #Platform! In the current wave of excitement surrounding new GenAI language models, it's easy to overlook a critical aspect of enterprise AI applications: the platform. For businesses, success with AI isn't just about having powerful models; it's about having an enterprise-ready platform that enables secure, scalable, and cost-effective development and deployment of Gen AI applications.  Frankly, the most frequently asked question by Retailer/Brand CXOs in most of my customer engagements is- How do we build and scale GenAI use cases? How fast can we implement them? The European home improvement retailer, Kingfisher plc, faced this challenge head-on. They needed a secure, compliant environment where they could quickly build, use, and scale AI models without reinventing the wheel for every service. Their solution was Athena, an orchestration framework built on #GoogleCloud. This platform not only streamlines the creation of complex, secure AI solutions but also drastically reduces development time. It's a great example of how the right platform can empower businesses to leverage the power of Gen AI without getting lost in the technical weeds. So, what does this all mean? 👉 Forget reinventing the wheel - platforms like GoogleCloud #VertexAI take care of the heavy lifting so you can focus on building awesome AI solutions. 👉 Time is money! Vertex AI helps you get your AI ideas to market faster. and whether you're a startup or a giant, you now have scalable and cost-effective AI platforms to bring your ideas to life. If you're a retailer or brand looking to explore the possibilities of Gen AI, I highly recommend checking out #GoogleCloud #VertexAI platform. It's not just about the language models—it's about having a platform that enables you to innovate and scale with ease. Let me know if you have any questions or want to chat more about Gen AI for retail! #GoogleCloud #VertexAI #Retail #AI #GenAI

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Anthropic’s latest generative AI model, Claude 3.5 Sonnet, is outperforming industry giants like OpenAI’s GPT-4o on key benchmarks after its release. This new model is reported as Anthropic’s “most intelligent model yet,” excelling in reasoning and coding tasks while running twice as fast and at a fifth of the cost of its predecessor, Claude 3 Opus. Claude 3.5 Sonnet was released last Thursday and has quickly climbed to the top of league tables, including the LMSYS Chatbot Arena for coding and hard prompts, ranking just behind GPT-4o overall. It is part of a three-model family, combining features of the Haiku and the Opus models, designed for efficient, high-throughput tasks. #ai

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This research is fundamental in understanding the challenges of #AI. I was having precisely this discussion last night with my friend EB Research Partnership CEO and Smart Cities Council Global Thought Leader Michael Hund (before touching on the more insidious sentient intelligence). We put it in the context of the last 100 years of transformational technology with unintended consequences: - nuclear power started out as a way to create limitless, comparatively clean, (yes, I mean it), energy. Then someone made a bomb. - Mapping the human genome started out to understand the human body, prevent and cure disease. Then people started wanting to clone organs and genetically engineer children - the internet connected all (most) people on the planet with all information(and lies), and people use it for posting memes and rotting their brains All of the above 3 started out by government consortia with good intentions that ended up having unintended consequences Importantly, all of the above 3 required human intervention and decision making AI and the emergent and terrifying sentient intelligence have been invented by corporates to make profit by controlling and targeting information. It has been specifically designed to exploit people and what we are seeing is different on 2 levels: - the terrible consequences are entirely intentional - we are on the cusp of self-aware intelligence that no longer requires human prompting. With #sentient #intelligence the genie is nearly out of the bottle. We have tech companies that are bigger than nations and governments that cannot begin to grasp the urgent challenges we face.

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A really fascinating post by Kostas Rossoglou that asks good questions of the #EU direction, what #Europe wants from the #BrusselsEffect and perhaps to consider #ReverseBrusselsEffect and to examine the #CostOfEurope and also what kind of cooperation and coordination we want around the world. The #EU is trying hard to export its approach, but it just doesn't fit with most other territories. If we go beyond these countries, the differences are just as stark. Our rules or #regulation shouldn't mean we fall behind and our #consumers get less than everyone else. #BlessedWithLess #CCIAeurope CCIA Europe #digitalEU #competitiveness #BetterRegulation

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The sustainability of technology, AI particularly, is a pressing issue with long-lasting, global impacts. As a compelling new Atlantic Council article notes, it’s important to discuss not only AI applications for sustainability, but also the sustainability of the AI industry itself. “the projected demands on data centers in the coming years due to the rise of AI—in terms of hardware, power, cooling, land and water use, and access to physical infrastructure and network bandwidth (a particular concern in growing urban areas)—are likely to far outstrip demands associated with other technologies” The article proposes 13 key sustainability questions policymakers should be asking as a starting point. These are also questions the board should be considering, as one of the authors and machine learning expert Catherine Lopes (PhD GAICD) notes. I've also made this point in the context of climate-related financial reporting and the growing impact of technology and AI on the organisation’s carbon emissions (https://lnkd.in/gBA-7VAZ). #DigitalDirectors #AIGovernance #ESTG

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Announcing the New Book in the #TransHumanCode Series: “Humanity at the Crossroad” Co-authored by Carlos Creus Moreira and David Fergusson, Humanity at the Crossroad delivers a powerful and fluid exploration of the transformative convergence of artificial intelligence (AI) and quantum computing—two technologies that are reshaping the world faster than society can adapt. Quantum computing is unlocking computational capabilities that promise breakthroughs in fields such as healthcare, climate science, and global security. But as it intertwines with AI, it accelerates the evolution of systems that are not only faster but increasingly autonomous and unpredictable. The convergence of these technologies places humanity at a critical juncture, raising urgent questions about control, ethics, and our ability to coexist with such powerful tools. In this seamless narrative, Moreira and Fergusson examine the profound risks posed by quantum-enhanced AI, including the potential for “runaway AI” to surpass human understanding and control. The emergence of “non-human AI,” systems devoid of human values or ethical considerations, represents a stark warning about a future where critical decisions may prioritize efficiency and logic over empathy and morality. The book explores the tangible dangers of these technologies falling into the wrong hands, destabilizing societies through mass surveillance, unregulated governance, and the erosion of human autonomy. Yet, Humanity at the Crossroad is also a manifesto for hope and action. It offers a clear vision for ensuring these technologies serve humanity rather than diminish it. The authors propose bold, actionable strategies, including the development of quantum-resistant cryptographic standards, the embedding of ethics into AI systems, and the fostering of global collaboration to regulate and guide these innovations. They also unveil the groundbreaking #transhumancode AI initiative, which aims to integrate centuries of human wisdom into machine learning, creating AI systems that respect human dignity and prioritize ethical decision-making. This is not just a book—it is a timely call to action, reminding readers that the future of AI and quantum computing is not preordained. By taking proactive measures today, humanity can steer these transformative technologies toward empowering society rather than undermining it. Special Announcement: Humanity at the Crossroad will make its global debut at the WISeKey SEALSQ Event during Davos. This exclusive launch ensures that the book’s critical message will reach the world’s most influential decision-makers and thought leaders at a time when the dialogue around AI and quantum technology has never been more urgent.

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🔥 Want to implement AI and concerned of risks? Research at MIT 💪 As research and adoption of artificial intelligence continue to advance at an accelerating pace, so do the risks associated with using AI. To help organizations navigate this complex landscape, researchers from MIT FutureTech and other institutions have released the AI Risk Repository, a comprehensive database of hundreds of documented risks posed by AI systems. The repository aims to help decision-makers in government, research and industry in assessing the evolving risks of AI. Spreadsheet and article in comments #MIT #AI #Fintech

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