Led by $500m venture financing of Black Sesame Intelligent Technology, total technology industry artificial intelligence venture financing deals worth $2.1bn were announced in Asia-Pacific in Q3 2022, according to GlobalData's deals database. Copy and paste the image source into your website to display the chart. The value marked a decrease of 25.5% over the previous quarter and a drop of 42.8% when compared with the last four-quarter average of $3.62bn. Asia-Pacific held a 29.45% share of the global technology industry artificial intelligence venture financing deal value that totalled $7.03bn in Q3 2022. China was the top country in Asia-Pacific's artificial intelligence venture financing deal value across technology industry.

All segmentation provided above in this report is represented at country level and can be customized according to needs. All products covered in the market, product volume and average selling prices will be included as customizable options which may incur no or minimal additional cost (depends on customization).

Boomi, the intelligent connectivity and automation leader, announced that MyRepublic Digital, the digital transformation company powering MyRepublic, an award-winning telecom operator in the Asia-Pacific, has implemented The Boomi AtomSphere Platform to achieve higher levels of efficiency, performance, and ultimately a better experience for customers. "For instance, we've observed a marked reduction in customer waiting time for modems between one and two business days, allowing us to provide faster service." MyRepublic Digital, a recently launched technology business spin-out, helps operators achieve their business outcomes with its readily deployable cloud-native multi-tenant software as a service (SaaS) platform, Encore. In the hyper-competitive telecom market, staying fast and agile when it comes to service delivery is key to success. To enhance the efficiencies of the Encore platform, and its real-time decision-making capabilities, without compromising on scalability or security, MyRepublic Digital selected Boomi's award-winning integration platform as a service (iPaaS).

The global artificial intelligence (AI) in energy market size was valued at $4.0 billion in 2021, and is projected to reach $19.8 billion by 2031, growing at a CAGR of 17.4% from 2022 to 2031. The developed and developing nations are adopting artificial intelligence in energy sector and are highly contributing towards the growth of the market during the forecast period. Measuring greenhouse gas emissions with AI enabled drones, accelerating energy transition and optimizing geothermal energy are the strategies being adopted by major players that are operating in the artificial intelligence in the energy market which may enhance the market position and boost the growth of the market over the forthcoming years. Artificial intelligence (AI) is an extent of computer technology that emphasizes the formation of intelligent machines which works and reacts such as humans. In addition, considering advanced technologies, it creates significant changes and effects of AI technology in the energy and utility market that can be seen in their applications such as smart automated grid and energy distribution system.

Copy and paste the image source into your website to display the chart. The value marked a decrease of 29.2% over the previous month of $1.29bn and a drop of 37% when compared with the last 12-month average of $1.45bn. Asia-Pacific held an 18.68% share of the global technology industry artificial intelligence venture financing deal value that totalled $4.89bn in April 2022. China was the top country in Asia-Pacific's artificial intelligence venture financing deal value across technology industry. In terms of artificial intelligence venture financing deal activity, Asia-Pacific recorded 83 deals during April 2022, marking a decrease of 21.70% over the previous month and a rise of 2.47% over the 12-month average.

The International Data Centre Day was launched by 7X24 Exchange International, an NGO that provides an educational forum mainly focused on the challenges faced by industry professionals. The first International Data Centre Day was celebrated four years ago, on October 29, 2019. A dedicated website, internationaldatacenterday.org, was also launched with objectives to create awareness about data centres and their future. This way, the industry can connect with future generations, ensure a steady flow of skilled labour, enhance the public image of data centres, and safeguard the ongoing prosperity of the data centre industry. Robert Cassiliano, Chairman & CEO of 7 24 Exchange International, said, "In 2015, few members challenged our organisation to find qualified talent for the data centre industry. However, we later realised that many parents, teachers and students are unaware of the data centre industry. There was a need to create awareness about what data centres are and how they operate. Hence, we started the STEM initiative, which includes mentoring programmes like – the Women in Mission Critical Operations (WiMCO) community, a Data Centre 101 session, video and then creation of International Data Centre Day".

The market of AI in Asia-Pacific is estimated to grow from US$18.7 billion in 2018 to US$43.7 billion in 2023 at a CAGR of 13.0% during the forecast period. The AI market is mainly driven by technological advancements in countries like China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. Artificial intelligence (AI) focuses on simulating human intelligence for building smart machines capable of performing tasks that require human intelligence. It has the potential of planning, learning, recognizing human-like speech, and solving problems based on past experiences. It includes hardware components such as chipsets with high computing capabilities.

The global AI in fintech market size is projected to increase to $46,881.9 million by 2030 from $7,702.7 million in 2020, at a 19.8% CAGR between 2020 and 2030. With AI, the efficiency of financial processes and the security of money-related data can be improved massively. For instance, in regard to fraud detection, AI monitors people's online transactional behavior so that any deviation and a potential fraud can be identified in real time and stopped right there. Moreover, AI helps in automating several processes in the banking, financial services, and insurance (BFSI) sector, such as online customer engagement via chatbots, claims processing, and answering frequently asked questions (FAQs). This not only allows BFSI companies to reduce their expenditure in hiring humans for these tasks but also engage these employees in more-important tasks, such as decision making and strategizing. AI solutions have been in a higher demand than managed and professional services because the former conduct question and answer (Q&A) processing, natural language processing (NLP) and generation, facial recognition, video and image analysis, and speech recognition.

The Latest research study released by Data Bridge Market Research "Deep Learning in Computer Vision Market" with 100 pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Deep Learning in Computer Vision market report contains market data that can be relatively essential when it comes to dominate the market or make a mark in the market as a new emergent. The purpose of Deep Learning in Computer Vision market report is to provide a detailed analysis of this industry and its impact based on applications and on different geographical regions. This market research report is a resource for getting current as well as upcoming technical and financial details of the industry. Deep Learning in Computer Vision market report also enlists the leading competitors and provides the insights about the strategic industry analysis of the key factors influencing this industry.

Significant to economic stability across the world, the current scenario in the aqua-farming industry is far from what it was a decade ago. With fewer changes in people and processes, the growth and evolution of the aqua-farming sector have been steady in the past decade. Although the technological advancements have been limited, yet the onset of IoT has triggered the introduction of AI-based process adoptions and automation. The sector is fairly large and deals with the production, and supply of aquatic animals. Fish, shrimp, oysters, and algae farming are closely associated with the global food industry.