2030 Automation Big Data 
AI News
AUGUST 2, 2024
Goldman Sachs estimates that data centres will consume 8% of global electricity by 2030, up from about 3% today—a massive jump primarily driven by AI. Data centre operators in Northern Virginia are expected to require enough electricity to power 6 million homes by 2030. That goal now appears increasingly challenging.
AI News
NOVEMBER 22, 2024
A growing market: AI is projected to create $20 trillion in global economic impact by 2030. With stakes this high, big tech isn’t hesitating to invest heavily. Infrastructure demands: Training and running AI models require massive investment in infrastructure, from data centres to high-performance GPUs.
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ODSC - Open Data Science
JUNE 19, 2023
With the advent of big data in the modern world, RTOS is becoming increasingly important. As software expert Tim Mangan explains, a purpose-built real-time OS is more suitable for apps that involve tons of data processing. The Big Data and RTOS connection IoT and embedded devices are among the biggest sources of big data.
AI News
AUGUST 27, 2024
ABI Research forecasts a surge in revenue from $5 billion this year to a staggering $48 billion by 2030. Among the new offerings are two regional language models: Llama-3-Swallow-70B, trained on Japanese data, and Llama-3-Taiwan-70B, optimised for Mandarin.
AI News
JUNE 24, 2024
Son asserted that by 2030, AI could be “one to 10 times smarter than humans,” and by 2035, it might reach a staggering “10,000 times smarter” than human intelligence. Sonnet beats GPT-4o in most benchmarks Want to learn more about AI and big data from industry leaders? See also: Anthropic’s Claude 3.5
Aiiot Talk
OCTOBER 5, 2024
AI is pivotal for this, because the workforce only knows how to design the grid’s needs with big data. AI and their data centers will total 8% of electricity by 2030 in the U.S. Big Tech companies like Microsoft and Google are innovating to pare down energy use or match consumption with zero-carbon energy purchases.
AI News
JULY 6, 2023
While the development of superintelligent AI may still be some years away, OpenAI believes it could be a reality by 2030. Superalignment aims to build a team of top machine learning researchers and engineers who will work on developing a “roughly human-level automated alignment researcher.”
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