Artificial Intelligence
The global cloud billing market size would grow from USD 3.0 billion in 2020 to USD 6.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 16.6%
New York, Nov. 11, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Cloud Billing Market by Component, Billing Type, Deployment Type, Service Model, Organization Size, Vertical And Region – Global Forecast to 2025” – https://www.reportlinker.com/p04053331/?utm_source=GNW
The private cloud deployment type is expected to grow at a higher CAGR during the forecast period
The private cloud deployment model enables a company to have better control over its data and reduce risks, such as data loss and issues related to regulatory compliance.The private cloud is used in banking and financial institutions, large enterprises, and government organizations, where only authorized users can access the system.
The demand for private cloud deployments by enterprises with compliance concerns is due to its security and control benefits. Service providers offering hosted private clouds help ensure the essentials of compliance with regulations, such as HIPAA and PCI, are met.
Telecommunication vertical to hold the highest market share in 2020
In recent years, the number of telecom subscribers has increased tremendously, leading to rising complexities in telecommunications business processes.Telecommunications companies are adopting digital transformation opportunities at a rapid pace to meet the growing customer demands and expectations, which makes this vertical the most significant vertical in terms of cloud adoption.
The telecommunications industry vertical is experiencing increased data generation due to advancements in technologies such as 4G and 5G.
APAC to grow at the highest CAGR during the forecast period
Asia Pacific has witnessed the advanced and dynamic adoption of new technologies and is expected to record the highest CAGR during the forecast period.IT spending across organizations in the region is gradually increasing, which is expected to lead to a surge in the adoption of cloud billing solutions.
China, India, Japan, and Australia & New Zealand (ANZ) are the leading countries in terms of the adoption of cloud billing solutions & services in the region. The increasing investments from the private sector, robust government support, and availability of a huge population are expected to drive the growth of new and emerging technologies in Asia Pacific.
• By Company: Tier 1–26%, Tier 2–22%, and Tier 3–52%
• By Designation: C-Level Executives–43%, Director Level–27%, and Others–30%
• By Region: North America–40%, Europe–28%, APAC–25%, MEA – 4%, and Latin America – 3%
The cloud billing market comprises major solution providers, such as Oracle (US), SAP (Germany), Salesforce(US), Zuora(US), Aria System(US), BillingPlatform(US), Recurly(US), Jamcracker(US), Cerillion(UK), CGI(Canada), ConnectWise(US), Zoho(India), AppDirect(US), CloudBilling(Netherlands), Chargebee(US), RecVue(US), Cloud Assert(US), CloudXchange.io(India), and Chargify(US). The study includes an in-depth competitive analysis of key players in the cloud billing market with their company profiles, recent developments, COVID-19 developments, and key market strategies.
Research Coverage
The cloud billing market revenue is primarily classified into revenues from solutions and services.Revenue generated from billing type is associated with cloud billing solutions.
Further, services revenue is associated variety of services such as managed services, integration and implementation, consulting, and support and maintenance. The market is also segmented based on component, service model, billing type, organization size, inustry vertical, and region.
Key benefits of the report
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall cloud billing market and the subsegments.This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies.
The report would help stakeholders understand the pulse of the market and provide them with information on the key market drivers, restraints, challenges, opportunities, and COVID-19 impact.
Read the full report: https://www.reportlinker.com/p04053331/?utm_source=GNW
About Reportlinker
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Artificial Intelligence
PolyU research finds improving AI large language models helps better align with human brain activity
HONG KONG, May 27, 2024 /PRNewswire/ — With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study by The Hong Kong Polytechnic University (PolyU) found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Current large language models (LLMs) mostly rely on a single type of pretraining – contextual word prediction. This simple learning strategy has achieved surprising success when combined with massive training data and model parameters, as shown by popular LLMs such as ChatGPT. Recent studies also suggest that word prediction in LLMs can serve as a plausible model for how humans process language. However, humans do not simply predict the next word but also integrate high-level information in natural language comprehension.
A research team led by Prof. Li Ping, Dean of the Faculty of Humanities and Sin Wai Kin Foundation Professor in Humanities and Technology at PolyU, has investigated the next sentence prediction (NSP) task, which simulates one central process of discourse-level comprehension in the human brain to evaluate if a pair of sentences is coherent, into model pretraining and examined the correlation between the model’s data and brain activation. The study has been recently published in the academic journal Sciences Advances.
The research team trained two models, one with NSP enhancement and the other without, both also learned word prediction. Functional magnetic resonance imaging (fMRI) data were collected from people reading connected sentences or disconnected sentences. The research team examined how closely the patterns from each model matched up with the brain patterns from the fMRI brain data.
It was clear that training with NSP provided benefits. The model with NSP matched human brain activity in multiple areas much better than the model trained only on word prediction. Its mechanism also nicely maps onto established neural models of human discourse comprehension. The results gave new insights into how our brains process full discourse such as conversations. For example, parts of the right side of the brain, not just the left, helped understand longer discourse. The model trained with NSP could also better predict how fast someone read – showing that simulating discourse comprehension through NSP helped AI understand humans better.
Recent LLMs, including ChatGPT, have relied on vastly increasing the training data and model size to achieve better performance. Prof. Li Ping said, “There are limitations in just relying on such scaling. Advances should also be aimed at making the models more efficient, relying on less rather than more data. Our findings suggest that diverse learning tasks such as NSP can improve LLMs to be more human-like and potentially closer to human intelligence.”
He added, “More importantly, the findings show how neurocognitive researchers can leverage LLMs to study higher-level language mechanisms of our brain. They also promote interaction and collaboration between researchers in the fields of AI and neurocognition, which will lead to future studies on AI-informed brain studies as well as brain-inspired AI.”
Media ContactMs Annie WongSenior Manager, Public AffairsTel: +852 3400 3853Email: [email protected]
View original content:https://www.prnewswire.co.uk/news-releases/polyu-research-finds-improving-ai-large-language-models-helps-better-align-with-human-brain-activity-302156065.html
Artificial Intelligence
VivaTech 2024: a record-breaking event
PARIS, May 27, 2024 /PRNewswire/ — VivaTech 2024 broke records with more than 165,000 visitors over four days, a 10% increase over 2023. The event welcomed 13,500 start-ups, a 20% increase over the previous year.
A BUSINESS AND FINANCE ACCELERATOR
VivaTech has established itself as a key business event, generating more than 400,000 online business connections this year. Startups forged business relationships with companies from 25 sectors and met over 2,000 investors.
VIVA TECHNOLOGY CONFIRMS ITS INTERNATIONAL APPEAL
The event attracted representatives from more than 120 countries and 40 national pavilions. Japan, the country of the year, showcased its ecosystem with a ministerial delegation and more than 40 startups. Africa was also in the spotlight with the Africa Tech Lab and the AfricaTech Awards, honouring innovative startups such as Schoolz, Rology and Inclusivity Solutions.
AI AND SUSTAINABLE TECH AT THE HEART OF THE PROGRAMME
VivaTech 2024 showcased the latest advances in artificial intelligence, with nearly 40% of exhibitors dedicated to this technology. Sustainable tech was also in the spotlight, especially through the Impact Bridge, a space dedicated to initiatives for a sustainable future. VivaTech’s environmental efforts were rewarded with ISO 20-121 certification.
DIVERSITY MORE THAN EVER IN VIVATECH’S DNA
Diversity took centre stage where over 40% of speakers were women. Among the most notable initiatives, the Female Founder Challenge rewarded Albane Dersy from Inbolt. At the same time, Femtech France took advantage of the event to launch its second Femtech industry barometer.
THE MEETING PLACE FOR REVEALS, EXCLUSIVITIES AND INNOVATIONS
For four days, VivaTech was the scene of numerous revelations, with some fifty worldwide or European exclusives unveiled. Among these, Tesla’s Cybertruck made its first appearance in France, marking a highlight of the event.
INTERNATIONAL SPEAKERS
VivaTech 2024 consolidated its position as the must-attend technology event with over 400 international speakers sharing their visions on AI and sustainable tech. Speakers included Elon Musk, John Kerry, Eric Schmidt, Arthur Mensch, Robin Li, Linda Yaccarino and Serena and Venus Williams. Institutional figures such as Fumio Kishida, Bruno Le Maire and Thierry Breton also took an active part in the debates.
WE LOOK FORWARD TO SEEING YOU FROM 11 TO 14 JUNE 2025 AT PARIS PORTE DE VERSAILLES!
Contact: [email protected]
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View original content:https://www.prnewswire.co.uk/news-releases/vivatech-2024-a-record-breaking-event-302156012.html
Artificial Intelligence
Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands globally, to empower brands to connect with international creators
OML Entertainment’s Hypothesis is targeting the Asia–Pacific Region, Middle East, Africa, and USA by 2025.Hypothesis will open borders for brands and agencies, facilitating a region-agnostic global platformMUMBAI, India, May 27, 2024 /PRNewswire/ — Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands its global footprint, after revolutionizing the Indian influencer market. In the first phase, Hypothesis will be available in the Asia–Pacific region (Singapore, Australia, Malaysia, Philippines, Vietnam, Thailand), Middle Eastern countries (Abu Dhabi, GCC nations, Egypt, Lebanon, Saudi Arabia, Kuwait, Qatar) as well as in Africa (Kenya, Nigeria, South Africa) and the USA.
Himani Agrawal, Senior Vice President, Hypothesis-OML, said, “At Hypothesis, we’re proud to offer a comprehensive kit for creator evaluation using 100+ data points. We provide the ultimate tool for your marketing arsenal. This is made even more convenient with our self-serve mode, empowering brands to initiate impactful influencer campaigns independently.”
Hypothesis streamlines data-driven influencer marketing globally, after recognising a critical disconnect between creator technology and services. Hypothesis was created with an inherent potential to serve a global audience, by empowering brands and agencies to transcend geographical limitations and unite discovery, outreach, and analytics in a single, user-friendly platform. This will accelerate the growth of the creator economy, creating opportunities for creators and brands.
Gunjan Arya, CEO of OML Entertainment, said, “We will be closely monitoring the milestones of Hypothesis to infiltrate the markets at the rate of 5–10% in the first year. We will also keep an eye on the acquisition rate, which is aimed to rise by 15–20%. Besides, we seek to derive over 35% of revenue from our global expansion efforts.”
With Hypothesis, OML is strategizing to expand into markets like Australia, the Asia–Pacific, the Middle East, and Africa, due to the region’s influencer marketing industry, which stands at 33.4% CAGR. Regions like the USA and the MENA have emerged as key players that are driven by advanced technologies and demand for data analytics.
Leveraging OML’s successful presence in Southeast Asia, the Middle East, Africa, and Eastern Europe, Hypothesis is set for a smooth rollout. OML’s established network, combined with their in-house expertise, will provide a strong foundation for this endeavor.
For details, visit hyp.io
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View original content:https://www.prnewswire.co.uk/news-releases/only-much-louders-ai-powered-influencer-marketing-tech-hypothesis-expands-globally-to-empower-brands-to-connect-with-international-creators-302155957.html
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