Automation Anywhere
JULY 6, 2021
billion by 2050 and to feed the larger population, food production will have to increase by 70%, according to a report from the Food and Agriculture Organization of the United Nations. Intelligent automation that combines Robotic Process Automation (RPA), artificial intelligence (AI), and machine learning (ML) is providing a solution.
IBM Services
FEBRUARY 7, 2024
Many countries have committed to reaching net zero by 2050, aligning with the Paris Agreement’s goal to limit global warming to well below 2 degrees Celsius. trillion to the global economy by 2050. And they could drive economic gains: Research shows markets for carbon-neutral goods and services may be worth $10.3
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IBM Services
MAY 12, 2023
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.
Capgemini
SEPTEMBER 26, 2022
To avoid the worst impact of climate change, global greenhouse gas (GHG) emissions must be halved by 2030 and lowered to net zero by 2050. Just to get you started – and to whet your appetite – we have condensed the findings of the report in 7 key data points: 0 is obviously the number it all starts with. Zero is positive. Zero is everything.
Zinnov
JANUARY 7, 2022
Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity , Blockchain, Intelligent Automation (IA), will be some of the digital technologies that will be top of mind for CXOs to bring in efficiencies, automate processes, and lower costs. At present, the goal is to take strategic leaps to achieve Net Zero by 2050.
Capgemini
FEBRUARY 16, 2023
Digital engineering can deliver it Capgemini Engineering 16 Feb 2023 Facebook Twitter Linkedin The aviation industry is committed to net zero emissions by 2050. These systems-level engineering challenges are consuming the top minds in aeronautics.
IBM Services
APRIL 18, 2024
Today’s AI, including generative AI (gen AI), is often called narrow AI and it excels at sifting through massive data sets to identify patterns, apply automation to workflows and generate human-quality text. However, these systems lack genuine understanding and can’t adapt to situations outside their training.
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