From the emerge of cognitive intelligence, in-memory-computing, fault-tolerant quantum computing, new materials-based semiconductor devices, to faster growth of industrial IoT, large-scale collaboration between machines, production-grade blockchain applications, modular chip design, and artificial intelligence technologies to protect data privacy, more technology advancements and breakthroughs are expected to gain momentum and generate big impacts the daily life. "We are at the era of rapid technology development. In particular, technologies such as cloud computing, artificial intelligence, blockchain, and data intelligence are expected to accelerate the pace of the digital economy," said Jeff Zhang, Head of Alibaba DAMO Academy and President of Alibaba Cloud Intelligence. "In addition to exploring the unknown through scientific and technological research, we are also working with industry players to foster the applications of innovation in different industries, making technologies more accessible for the businesses and society at large." Alibaba DAMO Academy, the global research initiative by Alibaba Group, provides its forecast of the leading trends that would gain pace in the tech industry in 2020.
Alibaba Cloud is on track to meet carbon reduction targets as it upgrades server-storing data centers around the world, according to a scientist on the project. The cloud computing arm of Alibaba Group aims to have its global data centers running entirely on clean energy by 2030, starting with upgrades to five of its hyper-scale data centers in China. "Eco-friendly data centers are critical to Alibaba's sustainable operations," Shanyuan Gao, General Manager of Alibaba Cloud Infrastructure's Internet Data Center Division, told Alizila in an interview. The cloud computing division employs cutting-edge green technologies in these facilities, of which liquid cooling and renewable electricity storage make the biggest difference in reducing carbon emissions. "In our Hangzhou data center, server clusters are submerged in specialized liquid coolant, which quickly chills the IT hardware," Gao explained.
Sundar Pichai, Google CEO, stated that AI's impact on human development would be greater than the impact of electricity or fire. Although it may sound lofty, AI's potential is evident from its use to discover space, combat climate change, and develop cancer treatments. Although it is difficult to visualize the impact of machines making quicker and more accurate decisions than humans, one thing is certain: 2022 will see breakthroughs and trends in AI and ML. All over the globe, artificial technology trends are generating much buzz. This technology has revolutionized nearly every sector of various industries. The automation of business workflows has made it possible for industries to thrive since artificial intelligence. Every business, from small-scale start-ups to established businesses, wants to reap the benefits of this incredible technology.
Alibaba Group's powerful computing network and wealth of data gives the company key advantages in technological innovation, according to Chief Technology Officer Jeff Zhang, who last week offered a glimpse of products and services Alibaba is readying for rollout that will be based on artificial intelligence. "We have been very successful business-wise, commerce-wise and sometimes that tends to overshadow what we have accomplished on the technological front," Zhang said during an investors conference held at Alibaba headquarters in Hangzhou, China. To support its giant e-commerce business, Alibaba has built a computational network that is the world's fastest cloud-based "streaming processing" platform. "One of our main characteristics is our scale," Zhang said. During Alibaba's blockbuster Singles Day sale last year, the company's platform processed 175,000 transactions a second at peak periods, or 10 million orders per minute.
Alibaba chalked up 213.5 billion yuan -- $30.8 billion -- in gross merchandise volume (GMV) on Sunday through its 24-hour Global Shopping Festival. In order for everything to stay up, Tmall.com and its ecosystem relied entirely on Alibaba's technology portfolio, including the use of artificial intelligence (AI) to improve the shopping experience for buyers and sellers, as well as pushing Alibaba's cloud infrastructure to the limit to process a high volume of transactions. Alibaba used an intelligent operating platform, DC Brain, to optimise the performance of the 200-plus global internet datacentres (IDCs) hosting its online stores in areas including energy consumption, temperature, energy efficiency, and reliability. Through machine learning, DC Brain can predict the electric consumption and Power Usage Effectiveness of each IDC in real time, allocating to each to reduce energy consumption. For this year's festival, Alibaba also made available its "hyper-scale green datacentre" located in Zhangbei, northern China.