Fintech PR
Artificial Intelligence Breakthroughs Lead to Unprecedented M&A Growth, Reveals Hampleton Partners’ Report
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Hampleton Partners’ latest analysis of the Artificial Intelligence M&A market reveals that over 150 deals were disclosed in 2018, up from 105 deals in 2017. The first half of 2019 is also showing impressive AI-related M&A momentum, with 65 deals already recorded and a total of near 100 deals forecast for the half-year only. In terms of market value, AI is forecast to grow from $21.46 billion in 2018 to $190 billion by 2025 – in other words, to grow nine-fold over the next seven-year period[1].
Heiko Garrelfs, sector principal, Hampleton Partners, said:
“Q1 2019 has set the pace for the rest of the year, with record-breaking M&A transaction volumes in two of three artificial intelligence sub-sectors. With the growth and competitiveness of many industries now dependent on the development of these AI technologies, strategic investors across all sectors and continents are stepping up their acquisitions and investments.
“Artificial intelligence is one of the fastest-moving sectors, thriving off great momentum and yielding game-changing outcomes.”
Artificial intelligence has moved from the experimental into the developmental phase of the innovation cycle. As the application of AI grows increasingly widespread across almost all verticals, several industries are now dependent on AI advancements to ensure their growth and competitiveness, including autonomous vehicles, IoT, healthtech, e-commerce, insurance and smart cities.
These industries look for artificial intelligence that can propel their next technology push, improve efficiency and productivity, streamline business models, and reduce latency and fragmentation.
Machine data analysis and edge AI
The first quarter of 2019 has proven a record period in M&A transaction volume for the machine data analysis sector with 46 deals.
Machine data analysis has recently shown an inclination towards Edge AI – i.e. running AI algorithms on edge devices such as smartphones or cars, rather than communicating with a central cloud or server – which allows devices to safeguard privacy, avoiding the purported insecurity of cloud-based data systems.
Edge computing also allows devices to process information locally and respond more quickly, which is vital for the development of Internet of Things (IoT) and autonomous vehicle technology, where immediate response is a necessity.
Computer vision
Computer vision experienced a stellar half-year in 2H 2018, mainly owing to growth in hot trends such as facial recognition, check-out-free retail or motion analysis, all of which enable the collection of more insights and provide information for future market opportunities.
Facial recognition is fast becoming a dominant form of biometric authentication, with early commercial applications in security, retail, payments and consumer electronics – Apple’s latest smartphone technology for Face ID logins and payments being one of the commercially popular use-cases. Retailers are also adopting the technology to recognise returning customers – a strategy used to offer special discounts as part of loyalty programmes.
Furthermore, as increasingly smart city infrastructure adopts security cameras, video analytics can be widely applied using facial recognition to detect and track offenders or suspects in public spaces.
Language analysis and conversational AI
Global tech companies east and west have focused heavily on Conversational AI. Google’s integration of Duplex – its new AI-driven automated reservation-making system – into the Pixel 3 smartphone, transformed the Google handheld device into an AI powerhouse.
However, Apple’s Siri has lagged far behind Amazon’s Alexa and Google’s Assistant in terms of voice recognition ability and development. It was no surprise, therefore, that in February 2019 Apple acquired PullString, a speech recognition software development SaaS which enables businesses to build interrelated applications for IoT devices.
Many companies believe the problem is not the speech recognition technology itself, but the lack of focus and reasoning within these systems. As a result, intent detection – i.e. the ability to determine from context what the user wants – has become the new research focus area for speech recognition start-ups who are willing to challenge the hegemons and fill in the gaps in big tech AI.
Fintech PR
Xinhua Silk Road: Conference on deepening financial openness and co-op in Northeast Asia held in NE. China’s Shenyang
BEIJING, Dec. 27, 2024 /PRNewswire/ — The 2nd Northeast Asia Finance Conference and 2024 “Revitalizing Liaoning with Finance” Excellent Cases Release kicked off on Tuesday in Shenyang, capital of northeast China’s Liaoning Province, aiming to further deepen financial openness and cooperation in the Northeast Asian region and advance construction of a regional financial center.
The main forum held a series of activities, including an opening ceremony, two round-table dialogues on “finance + biomedical industry” and “finance + cultural industry”, a symposium for foreign financial institutions, a seminar on innovative development of financial clusters, a forum on development of technology and finance, a forum on industrial low-carbon transformation and financial innovation, as well as an enterprise project roadshow and industry-finance matchmaking event.
During the conference themed on “accelerating the construction of a regional financial center in Northeast Asia and creating a new highland for opening up”, excellent cases of revitalizing Liaoning through finance in 2024 were unveiled and the index for core areas of regional financial centers in northeast China was released.
The conference also held an unveiling ceremony for the upgrading of the Shenyang finance and trade development zone to a national-level development zone, and a launch ceremony of a platform for Shenyang industrial insights and decision analysis.
The conference was co-hosted by China Economic Information Service, Liaoning Branch of Xinhua News Agency, Shenhe District People’s Government, Shenyang local financial administration under guidance of Shenyang Municipal People’s Government and Liaoning local financial supervision and administration bureau.
Original link: https://en.imsilkroad.com/p/343777.html
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View original content:https://www.prnewswire.co.uk/news-releases/xinhua-silk-road-conference-on-deepening-financial-openness-and-co-op-in-northeast-asia-held-in-ne-chinas-shenyang-302339538.html
VILNIUS, Lithuania, Dec. 27, 2024 /PRNewswire/ — BingX, a global leading cryptocurrency exchange, is excited to announce the launch of ALTCOIN Index, the first futures trading pair involving top altcoins. This innovative trading product offers users a one-click solution to efficiently track and trade major cryptocurrency trends with ease.
Traditionally used in stock markets, a futures index is a financial derivative that tracks the performance of a group of assets, such as stocks of commodities. These instruments were first introduced to simplify trading by allowing investors to speculate on or hedge against the collective movements of selected market sectors. Instead of purchasing individual stocks, traders are able to access broad market exposure in a single transaction, saving time and reducing costs.
In the cryptocurrency market, this new ALTCOIN/USDT futures trading pair works similarly by bundling the performance of the top mainstream cryptocurrencies by market capitalization, excluding Bitcoin (BTC) and stablecoins. The current index includes ETH, XRP, SOL, BNB, DOGE, ADA, TRX, AVAX, and SHIB. This approach is more efficient compared to buying individual cryptocurrencies or ETFs as this allows for direct speculation using tiered leverage options without the need to manage multiple positions, effectively diversifying trading risks associated with individual asset volatility.
Vivien Lin, Chief Product Officer of BingX, commented on the new offering: “By aggregating a range of leading cryptocurrencies into a single trading instrument, we’re giving users a practical and efficient way to better capture market trends. This index trading pair should help our less experienced users with their trading goals more easily, particularly when they are unsure which asset to trade and just want to trade major altcoins in general with leverage.”
BingX users can take advantage of tiered leverage options and competitive rates consistent with the platform’s perpetual futures terms, simplifying open order management and enhancing trading efficiency. The platform also ensures that the index composition remains current, with regular quarterly adjustments and temporary updates in response to market conditions.
About BingX
Founded in 2018, BingX is a leading crypto exchange, serving over 10 million users worldwide. BingX offers diversified products and services, including spot, derivatives, copy trading, and asset management – all designed for the evolving needs of users, from beginners to professionals. BingX is committed to providing a trustworthy platform that empowers users with innovative tools and features to elevate their trading proficiency. In 2024, BingX proudly became the official crypto exchange partner of Chelsea Football Club, marking an exciting debut in the world of sports.
For more information please visit: https://bingx.com/
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View original content:https://www.prnewswire.co.uk/news-releases/bingx-introduces-altcoin-index-futures-trading-one-click-countless-trends-302339486.html
SINGAPORE, Dec. 27, 2024 /PRNewswire/ — Nodepay, a decentralized AI platform transforming unused internet bandwidth into real-time data pipelines for AI training, today announced it has raised a second round of funding, bringing its total to $7 million.
The latest funding round welcomed new strategic investors IDG Capital ($23 Billion AUM), Mythos, Elevate Ventures, IBC, Optic Capital, Funders.VC, Matthew Tan (Etherscan founder) and Yusho Liu (CoinHako Co-founder & CEO) as notable angels. They join an impressive roster of previous backers that includes Animoca Brands, Mirana, OKX Ventures, JUMP Crypto, Tokenbay Capital and more.
Nodepay’s network taps into a global community of users running privacy-protected nodes. By sharing their spare internet bandwidth, these participants earn rewards for creating a real-time data source that improves AI inference with accurate, timely information—an approach known as Retrieval Augmented Generation (RAG).
Darren Nguyen, co-founder of Nodepay commented: “Our mission is to develop solutions that create tangible value for both AI developers and its end users. We give contributors a share in the AI ecosystem they help fundamentally build.”
Nodepay’s infrastructure platform integrates real-time data retrieval, a Web3-focused decentralized answer engine, reinforcement learning for more accurate model output, and gamified human verification. Together, these components combine to create a fair, collaborative, and innovative AI ecosystem.
Eric Le, investment director of IDG Capital, said, “The team at Nodepay is democratizing the AI economy by providing a platform that allows users to share directly in the value they create. We’re proud to support their vision of making AI more accessible and beneficial to all.”
With this funding, Nodepay will continue to commercialize its infrastructure to benefit both its community and partner AI labs. As it prepares to launch on Solana, Nodepay stands ready to lead the next era of decentralized AI development and training.
Already serving over 1.5 million active users worldwide, Nodepay continues to expand its reach, solidifying its role as a leader in the integration of AI and blockchain technology. Users can expect further updates and new announcements through their social channels and official website.
About Nodepay
Nodepay is a decentralized AI platform dedicated to democratizing AI training through real-time data retrieval. By turning idle internet bandwidth into a valuable resource, Nodepay fuels the next generation of AI models and stands at the forefront of AI decentralization.
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View original content:https://www.prnewswire.co.uk/news-releases/nodepay-raises-7m-total-funding-to-power-ai-growth-with-real-time-data-infrastructure-302339478.html
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