Generate Zero’s Post

Navigating AI Infrastructure Decisions in 2024: The Era of Flexible Consumption As AI technologies become central to IT infrastructure decisions in 2024, the emphasis is on flexible consumption models and sustainability. This article explores the AI buyer profile, their key considerations like scalability and cost-effectiveness, and the growing importance of sustainability in these decisions. With new regulations and the need for eco-friendly practices, organizations are pivoting towards greener AI infrastructure to ensure long-term savings and compliance. Read more: https://lnkd.in/gFr9WHXM #ai #sustainability #esg #environmentalengineering #environmental #carbon AI, ITInfrastructure, 2024Trends, Sustainability, FlexibleConsumption

AI has great potential to assist workers in tackling complex problems, but the tech industry's priorities and biases have bent the trajectory of AI development toward automation. Our co-director Daron Acemoglu shared his view on forces impeding the development of pro-human AI in a recent op-ed for Project Syndicate. He features findings from the Shaping the Future of Work policy memo, 'Can We Have Pro-Worker AI?' (https://lnkd.in/ev4Tse2Y) https://lnkd.in/ebqe_wDh

Wow, I didn't realize how much electricity AI uses. It will be interesting to see the ESG reports for the companies providing access to these and how they are going to address the carbon impacts of this technology. #accelerateinnovation https://lnkd.in/gTsps7Pu

The environmental impact of artificial intelligence is a challenge we can no longer ignore. As AI becomes integral to modern business, green algorithms are emerging as a game-changer https://ow.ly/1UoG50UgYaO Our latest Risk & Resilience Review explores this critical topic, offering actionable insights into how businesses can innovate, responsibly reducing carbon emissions and energy use, integrating sustainable practices into their AI strategies and build resilience in a rapidly evolving landscape. Key highlights include: - The role of green algorithms in achieving sustainability goals - Strategies to minimize AI’s environmental footprint - The intersection of resilience, risk, and sustainable innovation How is your organization addressing the environmental challenges of AI? Share your perspective in comments below. #GreenAI #Sustainability #Resilience #Innovation #RiskManagement #WTW #WTWResearchNetwork

Can AI improve lives around the world? Like other game-changing technologies before it, artificial intelligence is expected to unleash new wealth creation, resource reallocation and societal change. But the precise forms that this will take – and at what speed – is difficult to predict. Richard Mylles, the author of a new UBS Sustainability and Impact Institute report on the theme, joins us to explain how AI's consequences for human capital can be optimised, focusing on education, productivity and health.

Yesterday, I attended a fantastic presentation by Jagpreet (Jag) ChhatwalTurgay Ayer on how AI is revolutionizing economic model building. It was eye-opening to see AI's power in data integration, analysis, automation, and real-time adaptive modeling. Thinking back to my days at the University of Warwick, I remember spending endless hours on data cleaning, variable selection, and parameter estimation. Now, AI makes all that a breeze, speeding up the process and reducing human error. AI’s ability to adapt to new data and provide real-time insights is a game-changer, especially in our fast-paced HTA environment where timely, accurate information is crucial. Change has a beginning; it must be critiqued, revised, debated, and improved to meet the robustness that we, as humans, demand. The future looks bright! #AI #EconomicModeling #Innovation #DataScience #FutureEconomics

Generative AI tools are revolutionizing our digital interactions, but there's an environmental cost many of us overlook. These powerful tools are straining local power grids and causing significant water evaporation, raising serious concerns about their sustainability. From personal experience, I've seen firsthand how technological advancements can outpace our infrastructure, causing unforeseen consequences. It's crucial for us to weigh the benefits of these tools against their environmental footprint. Are we doing enough to ensure a balance between innovation and sustainability? 🤔 Here are some thought-provoking points: - How can we mitigate the environmental impact of generative AI? - Are there sustainable alternatives or practices for everyday online usage? - What responsibility do tech companies have in addressing these issues? Let's spark a discussion on how we can innovate responsibly and protect our planet. #AI #GenerativeAI #Sustainability #EnvironmentalImpact #TechInnovation

AI is powering a fourth industrial revolution?

Exciting progress is occurring in the world of AI agents - we've seen an astronomical climb from simple prompts to results expeditiously rendering an autonomous system. Yet, dissemination and acceptance of this as status-quo will be the true litmus test. Keep an eye on agent-to-agent ecosystems, where intelligent agents collaborate seamlessly across corporations.🤖🌐💡 This doesn't mean we're on the cusp of being overshadowed by AI Hustle, however, there are key factors like technological readiness, trust, and competitive advantage wrapped in challenges, inducing huge shakeups. Also, let's note, humans still hold an edge over collaboration, perceived reasoning, and sense—parts of our DNA intertwined with extensive evolution that's yet to be surpassed by AI. The shrinking window attests to human resilience amid heady tech advances. 🧠⚙️ We're on track for an era where intelligent automation introspectively deals with monotony while nurturing the flourishing realm of human interactions. This intuitive communication may kindle into autonomous ecosystems changing the AI working premise. Pockets of progress already emerge - a revelation being Braintrust's recent AI-recruiter model tapping valiantly into tech and back-office various reigns. Still, human touch may always pertain to last-leg selections. As spiralled as it seems, we can't neglect the emotional side of the story - trust. Skepticism upon new tech has been a historical norm leading to unseen breakthrough

Excited to share insights from our latest exploration at Altered Carbon Ltd: "The Future of Cold Storage: Revolutionised by AI." https://lnkd.in/edrjABDX As we delve into the transformative impact of AI on the cold storage industry, we uncover not just the challenges but the unparalleled opportunities ahead. With our pioneering AI tools, K9Sense and ScentStudio.AI, we're not just envisioning a new era for cold storage; we're actively building it. From significantly reducing food wastage in emerging markets to aligning with the green revolution for a sustainable future, the potential is immense. But the journey doesn't end there. As the landscape evolves, so does our commitment to innovation and sustainability. The question then is, how can AI further bridge the gap between current limitations and the future of efficient, eco-friendly cold storage? Let's discuss. #ColdStorage #AIInnovation #Sustainability #EmergingMarkets #AlteredCarbonLtd