Bestem Network

Policymakers, business leaders, managers, and workers are now thinking and talking a lot about #AI. How should AI tools be used? What tasks should AI tools be used for? Often the way these questions are approached is by asking what human-like outputs AI systems can produce. A much more useful approach is to ask what humans can do that AI systems can't. The answer is: Humans can make meaning (subjective decisions), and AI systems can't. And though AI systems can’t make meaning yet, they depend on meaning-making work, always done by humans, to come into being, be useable, be used, and be useful. Understanding meaning-making as something AI systems cannot do at all and cannot function without makes it easier to figure out how to develop, productize, and deploy good AI systems. Read more about it here:

As our speaker predicted 7 years ago! Like the military have to build processes that can deal with fake positives injected into their radars, so companies need to reconfirm these types of instructions now. Have you looked at this? Does it call for 2 factor authentication?

In 2019 we wrote about Solar: 𝙸 𝚞𝚛𝚐𝚎 𝚢𝚘𝚞 𝚝𝚘 𝚑𝚊𝚟𝚎 𝚊 𝚕𝚘𝚘𝚔 𝚊𝚝 𝚃𝚒𝚖 𝙷𝚊𝚛𝚏𝚘𝚛𝚍’𝚜 𝚊𝚛𝚝𝚒𝚌𝚕𝚎 𝚘𝚗 𝚂𝚘𝚕𝚊𝚛 [𝚕𝚒𝚗𝚔]. 𝙰𝚜 𝚊𝚕𝚠𝚊𝚢𝚜 𝚑𝚎 𝚑𝚊𝚜 𝚊𝚗 𝚊𝚋𝚒𝚕𝚒𝚝𝚢 𝚝𝚘 𝚐𝚛𝚊𝚜𝚙 𝚝𝚑𝚎 𝚒𝚖𝚙𝚕𝚒𝚌𝚊𝚝𝚒𝚘𝚗𝚜 𝚘𝚏 𝚠𝚑𝚊𝚝 𝚑𝚎 𝚜𝚎𝚎𝚜 𝚒𝚗 𝚠𝚊𝚢𝚜 𝚝𝚑𝚊𝚝 𝚘𝚝𝚑𝚎𝚛’𝚜 𝚍𝚘𝚗’𝚝. 𝙷𝚎 𝚕𝚘𝚘𝚔𝚜 𝚊 𝙿𝚅 𝚌𝚎𝚕𝚕𝚜 – 𝚑𝚘𝚠 𝚒𝚗 𝟷𝟿𝟾𝟶 𝚂𝚘𝚕𝚊𝚛 𝚠𝚊𝚜 𝚊𝚋𝚘𝚞𝚝 $𝟷𝟶𝟶 𝚙𝚎𝚛 𝚠𝚊𝚝𝚝 ($𝟷𝟶.𝟶𝟶𝟶 𝚝𝚘 𝚕𝚒𝚐𝚑𝚝 𝚊 𝚕𝚒𝚐𝚑𝚝 𝚋𝚞𝚕𝚋). 𝙸𝚝 𝚒𝚜 𝚗𝚘𝚠 𝚊𝚕𝚛𝚎𝚊𝚍𝚢 𝚋𝚎𝚕𝚘𝚠 $𝟶.𝟸𝟻 / 𝚠𝚊𝚝𝚝 𝚊𝚗𝚍 𝚏𝚊𝚕𝚕𝚒𝚗𝚐. 𝚄𝚝𝚒𝚕𝚒𝚝𝚢 𝚜𝚌𝚊𝚕𝚎 𝚙𝚛𝚘𝚍𝚞𝚌𝚝𝚒𝚘𝚗 𝚒𝚜 𝚗𝚘𝚠 𝚕𝚘𝚘𝚔𝚒𝚗𝚐 𝚝𝚘 𝚙𝚛𝚘𝚟𝚒𝚍𝚎 𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚒𝚘𝚗 𝚊𝚝 𝚋𝚎𝚕𝚘𝚠 $𝟶.𝟶𝟷𝟻 𝚙𝚎𝚛 𝙺𝚆/𝚑. [𝚕𝚒𝚗𝚔] 𝚃𝚑𝚎 𝚝𝚑𝚒𝚗𝚐 𝚊𝚋𝚘𝚞𝚝 𝚂𝚘𝚕𝚊𝚛 𝙿𝚊𝚗𝚎𝚕𝚜 𝚒𝚜 𝚝𝚑𝚊𝚝 𝚝𝚑𝚎𝚢 𝚊𝚛𝚎 𝚊 𝚙𝚞𝚛𝚎 𝚖𝚊𝚗𝚞𝚏𝚊𝚌𝚝𝚞𝚛𝚒𝚗𝚐 𝚙𝚕𝚊𝚢. 𝙾𝚗𝚌𝚎 𝚌𝚛𝚎𝚊𝚝𝚎𝚍 𝚝𝚑𝚎𝚢 𝚓𝚞𝚜𝚝 𝚜𝚒𝚝 𝚝𝚑𝚎𝚛𝚎 𝚊𝚗𝚍 𝚖𝚊𝚔𝚎 𝚎𝚗𝚎𝚛𝚐𝚢. 𝙽𝚘 𝚖𝚘𝚟𝚒𝚗𝚐 𝚙𝚊𝚛𝚝𝚜, 𝚗𝚘 𝚙𝚕𝚊𝚝 𝚝𝚘 𝚛𝚎𝚊𝚕𝚕𝚢 𝚘𝚙𝚎𝚛𝚊𝚝𝚎𝚍 𝚊𝚜 𝚜𝚞𝚌𝚑. 𝚆𝚎 𝚑𝚊𝚟𝚎 𝚋𝚎𝚎𝚗, 𝚊𝚗𝚍 𝚌𝚘𝚗𝚝𝚒𝚗𝚞𝚎 𝚝𝚘 𝚋𝚎, 𝚟𝚎𝚛𝚢 𝚐𝚘𝚘𝚍 𝚊𝚝 𝚖𝚊𝚗𝚞𝚏𝚊𝚌𝚝𝚞𝚛𝚒𝚗𝚐 𝚜𝚝𝚊𝚗𝚍𝚊𝚛𝚍 𝚙𝚛𝚘𝚍𝚞𝚌𝚝𝚜 𝚒𝚗 𝚜𝚝𝚊𝚗𝚍𝚊𝚛𝚍 𝚏𝚊𝚌𝚝𝚘𝚛𝚒𝚎𝚜. It seems that what we're commenting on might be part of a broader margin squeeze based on China's manufacturing dominance. It will be an interesting time—if we keep focusing on GDP, the West will lose the race, but in many ways, I want to live in a society with different values than those created by Beijing—so what will we be measuring and optimising for next?

Yesterday's strategic advantage can become today's liability, underscoring the importance of agility and adaptability. A classic example is the massive concentration of assets in industries like steel, cement, and oil and gas. For decades, these sectors enjoyed unassailable positions thanks to scale economies, driving super-profits and creating barriers too high for many competitors to overcome. 🏗️🛢️ However, the same concentration that fueled their ascendancy has also concentrated the production of carbon, turning these giants into the focal points of environmental scrutiny. In a world increasingly conscious of climate change, carbon has transitioned from an unnoticed by-product to a significant liability. 🌍🔥 The scale that once made these companies is now is a double-edged sword. As carbon becomes a global concern, these industry behemoths find themselves with a target on their backs, facing stringent regulations, changing consumer preferences, and urgent calls for sustainable practices. Transitioning away from carbon-intensive operations is not just a strategic shift but an existential one, requiring monumental effort and innovation. On the flip side, smaller, more nimble players who previously couldn't compete on scale suddenly find themselves at an advantage. With less of their profits tied to carbon-intensive processes, they can pivot more quickly, adopting greener technologies and practices without the burden of overhauling massive infrastructures. 🌱💨 This scenario highlights a critical lesson for businesses: flexibility and the ability to pivot are invaluable. In a world where yesterday's asset can become today's liability, the ability to adapt and evolve is crucial. Companies must constantly reassess their strategies, remain vigilant to external shifts, and cultivate a culture of innovation that can navigate the unpredictable tides of business and environmental stewardship. 🔄🚀 #StrategicManagement #Sustainability #BusinessAgility #ClimateChange

Gareth Davies foresaw the vital role of digitalisation in enhancing transparency, a prediction now underscored by initiatives like Google's methane mapping project—demonstrating the power of foresight in navigating the future of sustainability and tech. In an era where public access to environmental data becomes a norm, companies are increasingly compelled to self-monitor and disclose accurate, trustworthy information. This proactive approach to digitalisation and data transparency is not just about compliance; it’s a strategic asset that enables businesses to stay ahead in a rapidly evolving landscape. Companies gain unparalleled insights into their environmental impact by instrumenting their operations, fostering operational improvements, ensuring regulatory compliance, and solidifying their competitive advantage. More importantly, this strategy aligns with a growing societal demand for corporate accountability in environmental matters, enhancing a brand's reputation and stakeholder trust. As we continue this transformative era, the message is clear: embracing digitalisation is indispensable for future-proofing businesses against the backdrop of increasing public scrutiny and environmental challenges. The journey toward digital maturity is complex, yet it offers a pathway to not only mitigate risks but also uncover opportunities for innovation and leadership in sustainability. This digital foresight is a testament to the power of technology and a call to action for leaders to embrace transparency and sustainability as central pillars of their strategic agenda. The time to act is now, to navigate the digital age with wisdom and lead it with integrity. #DigitalTransformation #Sustainability #Innovation #EnvironmentalStewardship #CorporateAccountability #CleanTech #FutureProofing #DigitalForesight #EcoInnovation #GreenTech #MethaneMapping #ClimateAction #Digitalization #SustainableBusiness #TechForGood Links in the comments.

This is an interesting development, but more crucial is the comment in the middle of the video. Solar is now the single cheapest form of energy. It will only get cheaper. Think how much of our economy is based around the creation and distribution of energy. When energy becomes essentially free, that will reduce GDP. But the world will be more abundant. GDP is becoming problematic as a measurement of progress. Information products that displace the mundane manual process also reduce it but are beneficial. All of our productivity measurements will be inaccurate because we will accomplish so much more with so much less. How will the world measure progress as the world migrates towards information, distributed manufacturing, reduced waste handling, and free energy? The measurement framework we select will determine what we optimise for and will direct human activity. It's a wildcard, but perhaps GDP is a measurement of industrial activity that is no longer an appropriate basis for decision-making. If true, that has important implications for all the economic statistics (and investor metrics) of which it forms a direct or indirect part.

We examined red-teaming in the 2022 Note from the future; it's really important to try to undermine your own strategy BEFORE you implement it, to check how robust it is, and build contingency plans. Not everyone is considering Russian politics in their strategy (perhaps it's a wild card we should all consider), but if you do need to consider the consequences, then Gary's recommendations are very much worth listening to!

🤔 𝐇𝐞𝐫𝐞'𝐬 𝐚 𝐥𝐢𝐭𝐭𝐥𝐞 𝐛𝐫𝐚𝐢𝐧 𝐭𝐞𝐚𝐬𝐞𝐫 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐬𝐜𝐫𝐨𝐥𝐥𝐢𝐧𝐠 𝐩𝐥𝐞𝐚𝐬𝐮𝐫𝐞: 𝐖𝐡𝐚𝐭 𝐥𝐞𝐚𝐫𝐧𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐥𝐞𝐬𝐬𝐨𝐧𝐬 𝐚𝐧𝐝 𝐬𝐞𝐞𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐬𝐢𝐠𝐡𝐭, 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐬𝐦𝐚𝐫𝐭𝐞𝐫 𝐛𝐲 𝐝𝐚𝐲 𝐚𝐧𝐝 𝐧𝐞𝐯𝐞𝐫 𝐬𝐥𝐞𝐞𝐩𝐢𝐧𝐠 𝐛𝐲 𝐧𝐢𝐠𝐡𝐭❓ 💡 𝐓𝐡𝐞 𝐀𝐧𝐬𝐰𝐞𝐫? 𝐓𝐡𝐞 𝐭𝐨𝐩𝐢𝐜 𝐨𝐟 𝐨𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐑𝐀𝐂 𝐝𝐢𝐧𝐧𝐞𝐫 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧—𝐀𝐈.   In December last year, the Bestem Network held its annual dinner, now into its tenth year, attended by leaders across industry.   We considered AI, shared what our organisations were doing with it and formed opinions about what we need to do in 2024. Importantly, we tackled this not by speculating what this exciting technology could do (there is plenty of noise around that, and we don’t need to add to it) but rather what it would never do.   The attached 'Note from the Future' is not just a record of what was said; it's a blueprint of what could be next – and what you might want to do to prepare.   As leaders and thinkers in the business community, we recognize the importance of AI's role in our present and future. The insights from this dinner aren't just passing thoughts; they're seeds of strategy we can use to navigate the evolving landscape of intelligent technology.   We hope you enjoy them and find something useful. #ai #artificialintelligence #machinelearning #llm #gpt #changemanagement #2024trends #strategy #humancapital #automation

I recently came across this interesting interview that caught my attention, mainly because of what it didn't say. It seemed to imply that there is a link between AI and the ability to draw conclusions about hidden risks. It didn't say how. From my personal experiences, I have not seen successful applications used in such a deterministic way. I have found that generative AI is great at helping me communicate ideas clearly and quickly while also proposing a few imaginative angles for me to consider. What are your thoughts on this topic? NB I used Microsoft copilot on my phone to reword my first draft of this post. #copilot #generatieveai #4thindustrialrevolution

We have written lot about productivity in relation to the 4th industrial revolution. This will be very interesting to see what happens when energy transition really kicks in. check this one out https://lnkd.in/eGgawxV6