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Gartner's 2024 Hype Cycle for Environmental Sustainability highlights…

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Gartner’s 2024 Hype Cycle for Environmental Sustainability highlights 38 essential technologies set to transform the sustainability landscape.

For those new to the Hype Cycle, it tracks the evolution of new technologies through five stages:
1️⃣ Innovation Trigger: New tech gains attention.
2️⃣ Peak of Inflated Expectations: High expectations, limited real-world use.
3️⃣ Trough of Disillusionment: Challenges arise, hype fades.
4️⃣ Slope of Enlightenment: Practical applications begin to emerge.
5️⃣ Plateau of Productivity: The technology goes mainstream and delivers value.

🔹🔹 Here are my top 5 picks from this year’s Hype Cycle, focusing on software and AI-driven sustainability:

  1. GreenOps:
    GreenOps integrates sustainability into operational practices like DevOps, helping companies track and reduce their carbon footprint throughout the software development lifecycle.

  2. Cloud Sustainability:
    Cloud providers are optimizing workloads and infrastructure to make cloud computing greener. Despite its potential, scaling these practices remains a challenge.

  3. AI for Sustainability:
    AI is being used to address environmental challenges like climate change and resource management, leveraging data to deliver more sustainable solutions.

  4. Environmental Sustainability of Software:
    Organizations are adopting energy-efficient coding practices and tools to measure software’s carbon footprint, making software development more eco-friendly.

  5. Net-Zero Data Centers:
    Data centers are evolving to balance energy consumption with renewable sources, focusing on innovations in power management and clean energy adoption.

🔹❗ What’s Missing? Green AI Deserves More Focus
As AI models become more resource-intensive, developing energy-efficient AI is key. Green AI ensures that progress doesn’t come with high environmental costs. 🌿

Explore my GitHub repo for Sustainable AI - https://lnkd.in/dDqMCJ6n, to learn more about promoting sustainable AI practices. Feel free to contribute to the movement toward building greener AI

Sustainable AI (Green AI) may be partially addressed under some subsections, but it needs its own focus to ensure AI developments actively reduce environmental impacts.

📊 Additional Insights:
Technologies like ESG Management and Reporting Software and Sustainable Procurement Lifecycle Analysis are gaining traction in the Slope of Enlightenment, though adoption has been slower. Companies are recognizing the need for robust systems to manage environmental, social, and governance (ESG) data, but mainstream use is still evolving.

For more details, check out the full Gartner Hype Cycle for Environmental Sustainability 2024 here: https://lnkd.in/d2aZ4Tgf

green software