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How Kubota is changing the status quo in agriculture and sustainability with technology

IBM Big Data Hub

Simultaneously, it attempted to commit to its zero carbon city declaration, which aims to virtually eliminate carbon dioxide emissions by 2050. A few years ago, Kubota aimed to tackle operational efficiency challenges, water and sewage systems maintenance issues, and staff shortages that many local companies faced.

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IBM and Microsoft partnership accelerates sustainable cloud modernization

IBM Big Data Hub

Its aggressive sustainability goals included achieving net zero emissions by 2050, making all packaging reusable or recyclable by 2025 and investing more than USD 3 billion globally over several years to drive momentum.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. These systems excel within their specific domains but lack the general problem-solving skills envisioned for AGI.

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Ontotext’s Perspective on an Energy Knowledge Graph

Ontotext

This work is crucial for increasing industry digitalization, efficiency and competitiveness, counteracting the economic downturn from the COVID crisis as well as for realizing the European Green Deal by 2050. Kibana is especially strong for visualizing time-series data, as its original domain was log file analysis.

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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

Additionally, I was so very excited about the Visual Interaction Network they built to mimic a human’s ability to predict. (If I humbly believe that when that happens, over the next few decades (think 2050), humans could get to parity with AI available at that time. This progress is so very cool.