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【2020 Solutions】 All 10,000 background music tracks are AI-made: Anpu targets the global broadcasting market

"Why does the music industry need AI? What problems can AI solve?" These are the questions Zeng Zhizhong, the founder and CEO of Anpu Artificial Intelligence Co., Ltd., continuously asks himself. Since founding the company in 2018, Zeng Zhizhong has understood market positioning and customer needs clearly. Anpu uses AI composition to seize the global environmental music broadcasting market. With the system online for over a month, AI has created more than 10,000 pieces of music, serving clients across cafes, car showrooms, restaurants, and hair salons with a "legal, free" broadcasting solution, becoming the first choice for stores.

Zeng Zhizhong is a serial entrepreneur with a background in both the internet and music. He has served as the general manager of Taihe Music Group, director of music services for Microsoft and Nokia in Asia Pacific, founded AR company Emitia Technologies and streaming company Tianlida Technology, and currently operates a company called Ouster Music specializing in film and television soundtracks.

With a dual background in technology and music, Zeng Zhizhong navigates AI music to solve copyright dilemmas

With his sharp senses in technology and music, particularly amidst the ongoing AI boom, Zeng Zhizhong constantly contemplates how to turn AI composition into a profitable business. He analyzes examples such as Spotify with 100 million paid subscribers in the USA, 1 million in Taiwan's KK BOX, and the mainland China's IPO-listed QQ Music, all operating at a loss. The primary issue lies with these platforms not owning the copyrights to the music they provide, despite offering membership subscriptions. They must also pay royalties to record companies and creators, leading to 'the bigger they are, the more they lose.'

Zeng Zhizhong, with his tech and music background, aims to create opportunities for AI music

Zeng Zhizhong, with his tech and music background, hopes to carve a niche for AI-generated music

In the music industry, there are two main domains: ambient music (background music, BGM) and pop music. Pop music involves a lengthy production chain including lyric writing, composition, arrangement, singing, harmonizing, mixing, and finalization, entailing high costs and investment risks. Meanwhile, ambient music, used in malls, department stores, cafes, and restaurants, traditionally sees copyrights held by music industry associations in various countries, making acquisitions costly and time-consuming. However, producing music in-house circumvents copyright issues. Thus, composing with AI and retaining copyrights internally becomes a key to success.

According to the International Federation of the Phonographic Industry (IFPI) report, global music market revenues in 2018 grew by 9.7% to $19.1 billion, up from $17.4 billion in 2017. Streaming music revenue alone reached $8.9 billion, accounting for 47% of the global total, nearly half. Publicly broadcasted music accounted for 10-15%, marking a significant portion of the market.

Recognizing the immense potential of the market, Zeng Zhizhong then assessed the technical capabilities of AI music, candidly stating, "AI is not a cure-all." For concert performances or chart-topping pop music, human lyricists and composers are necessary to achieve desired effects, while AI composition typically handles simple, uncomplicated melodies.

Assembling a large music database coupled with proprietary AI algorithms for rapid music production

Anpu Music's AI composition system utilizes algorithms that include Markov chains, neural networks, deep learning methods, and combines the company's proprietary algorithm MDN Music Deeplearning Network, which conforms to unique musical algorithmic theories, thus breaking through traditional pop music structures and styles to create more market-aligned music compositions. The database aggregates a large amount of sheet music data from top charted tracks and renowned songs globally, initially analyzing and summarizing the characteristics and melodies of popular quality music, then employing deep learning for efficient and excellent outcomes in AI composition.

BGMRADIO public broadcasting platform hosts tens of thousands of AI-generated music tracks

▲BGMRADIO公播平台上集結上萬首AI音樂

Anpu provides a clear AI solution for the complex music copyright environment, with a material library owning a vast amount of clear-cut copyrights over 10,000 music tracks in 50 different styles, allowing users to freely choose suitable music to enjoy. Anpu's current business model is twofold: one provides a web-based platform offering 10,000 free AI-generated music tracks for online listening, and the other involves custom music services for a fee. Additionally, responding to the promotional needs of the record industry and artists, it also charges for advertisement playbacks. Another revenue model involves renting music players to users, charging an annual rental fee.

Comparing BGMRADIO's public broadcasting platform with other platforms

▲BGMRADIO公播平台與其他公播平台之比較

Zeng Zhizhong states, "Music knows no borders; good music doesn't distinguish between being created by humans or AI." With current AI algorithms and related technology being quite mature, using AI to produce music is not a difficult task. The key is identifying market pain points for business opportunities. Anpu's market spans Taiwan, Japan, Korea, Singapore, and it aims to continue expanding into China's largest market.

Having founded startups for 20 years in mainland China, Zeng Zhizhong's primary reason for starting a business back home is Taiwan's rich talent pool, especially the interdisciplinary talents. Unlike typical AI or music companies, Anpu requires a large number of amphibious talents capable of both programming and music. The company comprises two main departments: the R&D department, mostly formed from graduates from NTHU and NCTU in electrical engineering, electronic engineering, and applied music, and the music production department, where after quick AI algorithmic composition in the R&D department, highly musically educated producers refine these AI compositions into high-quality music experiences.

Anpu's team consists mostly of interdisciplinary talents with both technology and music skills

▲安譜團隊大多是科技與音樂兼具的跨域人才

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

【解決方案】台灣軟體科技實力媲美國際 Golface智慧服務促高球轉型
Taiwan's Software Technology on Par with International Standards: Golface's Intelligent Services Transform Golf

Compared to Japan, where 90 of golf courses operate without caddies and use an automated service model, golf course management in Taiwan still heavily relies on human labor Facing a labor shortage of up to 70, adopting a site and membership management platform to provide intelligent golf services may be a transformation worth considering for golf course operators 'Taiwan's software technology is comparable to international standards and definitely has the capability to compete in the global market,' says Tsung-Che Liao, co-founder and CEO of Golface, established in 2014 with the vision to leverage technology at its core, aiming to create Taiwan's first golf entertainment platform With over 9 years vested in cultivating intelligent golf services, Liao is well-versed in the nuances of golf course services He has considerable domain knowledge and has launched a comprehensive intelligent golf solution The world's first networked smart golf cart hits the road automation of golf courses is no longer just a dream In mid-May, Golface's newly developed ARES Smart Golf Cat, the world's first networked smart golf cart, officially became operational Equipped with a dedicated vehicle computer mainframe, dual network systems, AI-based visual recognition cameras, and high-precision GPS tracking, golf courses can now confidently allow golfers to drive themselves The system enables real-time monitoring of any driving violations, and the presence of digital consumption traces allows for insurance coverage The procedure is as follows golfers book the cart via a reservation platform, receive a QR code, pay through the platform, and unlock the cart with the QR code at the golf course The golf cart can then be driven onto the course The course management platform can monitor and restrict the areas through which the cart can travel, ensuring it does not leave the paths Upon completion, the cart is returned through a tablet in the cart In instances of any infractions, penalties are applied directly through the user's account, and for severe violations, future access to the carts may be prohibited This achieves the goal of 'automation' ARES Smart Golf Cat is the world's first networked smart golf cart, officially in service since May 2022 'As labor costs continue to rise, recruiting and training caddies are becoming common pain points in the market While Taiwan's courses still employ caddies, there's a 70 labor shortage,' Tsung-Che Liao added This smart golf cart tablet, combined with a mobile app, has become the ultimate smart caddy Golface is striving to complete the last piece of the 'automated golf course' puzzle Amassing digital consumption trails for advanced client segmentation services Starting with consumer needs, Golface has sequentially launched services like the golf cart tablet, mobile app, golf reservation platform, instructional videos Golface TV, golf tourism, and smart carts The smart cart has been operational since May 2022, currently featuring four units with plans for mass production in the latter half of 2022 Although the cart currently requires manual operation by golfers, remote operation is anticipated early in 2023, with autonomous driving expected in the third phase Via the cart tablet and management system, staff can understand the status of the course through on-screen visual representations, showing each cart's real-time and relative location, departure times, and duration of service per hole, which aids course managers in monitoring on-course consumption effectively, thus reducing traffic jams and customer complaints 'Previously, we relied on staff's mental imagery now, we can employ imagery to visualize real-time situations on the course This makes it possible for those who don't understand golf to work in this field,' emphasized Tsung-Che Liao While course control has traditionally been handled by experienced professional players, the shortage of skilled professionals makes hiring even more challenging Therefore, replacing manpower with digital tools yields twice the result with half the effort The golf cart tablet has entered the Japanese golf market, installed at Fukuoka Century Golf Club Golface's golf cart tablet has been introduced to 14 domestic courses, and has now officially entered the Japanese market, favored by Fukuoka Century Golf Club, where tablets have been installed in carts providing automatic voice announcements for hitting strategies, distance measurements, and visual charts displaying hitting data During the COVID-19 pandemic, with borders closed, Golface utilized OTA technology to provide software updates and troubleshooting, ensuring uninterrupted services, which was highly appreciated by the Japanese golf courses Tsung-Che Liao remarks that Taiwan's software technology is not inferior to other countries like Japan, but more support from golf courses is needed to help transform the industry intelligently 'To assist in the transformation of golf courses, the first step is digitalization,' Liao pointed out By helping courses accumulate data and understand customer service cycles and hitting rhythms, it enables courses to avoid congestion and serve more customers To date, Golface has accumulated data on over 20,000 teams, 35 million scorecards, and over 10 million records This data helps enhance management performance, segment customer layers, reduce complaints, and plan marketing strategies for off-peak periods Golface co-founder and CEO Tsung-Che Liao has spent 9 years deepening intelligent golf services, aiming to build Taiwan's first golf entertainment platform「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」