Artificial Intelligence
ATW Tech announces a private placement of common shares valued at 1.5 million CAD and a letter of intent for the concurrent acquisition of Semeon Analytics Inc., an Artificial Intelligence company
MONTREAL, Oct. 01, 2020 (GLOBE NEWSWIRE) — ATW Tech Inc. (the “Company” or “ATW Tech“) (TSX-V: ATW) is pleased to announce the signing of a letter of intent for a $1,500,000 private placement through the issuance of 30,000,000 common shares of the Company (the “Shares“) at a price of $0.05 per Share (the “Private Placement“). This Private Placement replaces the private placement that was announced by the Company on February 12, 2020. The Private Placement is expected to close on or around October 23, 2020.
The proceeds of the Private Placement will be used by ATW Tech, for its own benefit and that of its subsidiaries, to integrate into its structure Semeon Analytics Inc. (“Semeon“), a company to be acquired in connection with the acquisition contemplated below; to pay for the costs of the Semeon acquisition; to develop ATW Tech’s and Semeon’s products; and to commercialize Semeon’s and ATW Tech’s products.
The Shares issued under the Private Placement will be subject to a four-month restricted trading period in accordance with applicable securities legislation. In addition, the Private Placement is subject to the approval of the TSX Venture Exchange.
Acquisition of Semeon Analytics Inc.
The Company also announces the signing of a letter of intent to acquire all of the outstanding shares of Semeon for an aggregate purchase price of $2,880,000 (the “Transaction“). Subject to some adjustments, this price will be payable by the issuance to the vendors of 57,600,000 Shares (the “Purchase Price“). The Purchase Price may be adjusted with the issuance of a maximum of 1,500,000 additional Shares, for an additional consideration of $75,000 (the “Adjustment“), following the due diligence review of the Company and to the extent that Semeon will have paid all of its debts prior to the closing of the Transaction. The Transaction is expected to close on or around October 23, 2020.
Incorporated since May 1, 2020, the company, now known as Semeon Analytics Inc., was created to acquire the intellectual property, employees and other assets of a high-potential technology company and to continue its activities. Following the acquisition, Semeon became the exclusive owner of all rights related to the development and exploitation of a unique technology combining semantics, artificial intelligence and machine learning. The assets that were purchased generated revenues of $334,160 in 2019. As at August 31, 2020, according to its own unaudited financial statements, Semeon recorded assets of $889,217 and liabilities of $1,050,528, the latter of which must be fully repaid before the closing, so that Semeon will be acquired free of any debt. In addition, for the period from May 4, 2020 to August 31, 2020, Semeon recorded net proceeds of $5,000.
Michel Guay, President and Chief Executive Officer of ATW Tech, stated: “The completion of this private placement of shares is an important sign of confidence in ATW Tech’s growth potential. In addition, one of the major impacts of the acquisition of Semeon is that it will allow us to support our strategic plan that puts data processing at the core of our business and is among many other notable achievements and exciting announcements to come in the coming months. In doing so, we are committed to remain focused on creating shareholder value.”
As Mr. Louis Lessard, a director of the Company, is also a shareholder of Semeon, the latter is considered to be a “related party” to ATW Tech within the meaning of Regulation 61-101 Respecting Protection of Minority Security Holders in Special Transactions (Multilateral Instrument 61-101, Protection of Minority Security Holders in Special Transactions) (“Regulation 61-101”). The Transaction constitutes a “related party transaction” within the meaning of Regulation 61-101. The Transaction is exempt from the formal valuation and minority approval requirements of Regulation 61-101, as neither the fair market value of the Transaction nor the consideration for the Transaction regarding Mr. Lessard exceed 25% of the market capitalization of the Company. The Transaction will, however, require the approval of a majority of the Company’s shareholders pursuant to the policies of the TSX Venture Exchange. As part of the Transaction, Mr. Lessard will receive, with the Adjustment, through a holding corporation, around 16,054,000 Shares and, following closing, will be the ultimate shareholder of 8.4% of the outstanding Shares of the Company. In addition, the Transaction has been approved by the independent directors of the Company. The investors are not related to or acting in concert with the vendors of Semeon (the “Vendors“) and the Company. The Vendors deal at arm’s length with the Corporation, with the exception of Mr. Lessard. In addition, the Vendors are not acting in concert with each other. Furthermore, one of the investors in the Private Placement will have the right to appoint a director for ATW Tech.
For its services provided in connection with the Private Placement, Services Conseils Optimista Inc. (“Optimista“) will receive 2,400,000 Shares and $60,000 as a finder’s fee for services rendered in connection with the Transaction. For services rendered to the Company in connection with the Private Placement, Optimista will receive $60,000. Optimista deals at arm’s length with ATW Tech, the Vendors, Semeon and the Private Placement investors.
The Transaction is subject to the approval of the TSX Venture Exchange. Neither the TSX Venture Exchange nor its regulation services provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
SEMEON’S PROFILE
Semeon is a Quebec-based technology company that has developed an artificial intelligence technology. Over the past 5 years, Semeon has combined techniques of semantic, sentiment, intent and statistical analysis with artificial intelligence driven natural language processing systems to develop a platform capable of automatically analyzing, classifying and visualizing data from multiple channels and a powerful workbench suite which permits even non-experts to customize classification and filtering settings without the need for cumbersome rule sets. Semeon provides its clients with a platform for precise text analysis, intelligent and flexible for decoding, understanding, and summarizing customer feedback on specific elements. For this purpose, Semeon’s natural language text analysis technology allows to browse through thousands of customer comments, to extract the concepts expressed, to classify these as positive, negative or neutral opinions, so that companies or organizations can adjust their communication and marketing strategy in an informed and diligent manner.
Whether it is an acceleration of customer feedback processing, the identification of key parts in a supply chain or key elements in financial forecasting models, among others, Semeon ensures gains in analysis speed allowing critical decision making in minutes or hours rather than weeks or months.
ATW TECH’S PROFILE
ATW Tech (TSX-V: ATW) is a financial technology company (“fintech”), owner of several recognized technology platforms such as VoxTel, Option.vote and Bloomed. VoxTel specializes in telephone billing and alternative payment solutions for fixed and mobile lines. Option.vote offers a customized multi-method voting system for unions, political parties, professional associations and anyone looking for a secure way to reduce their voting costs and improve their participation rate. Bloomed is a cloud computing platform for managing smart data on consumers and their behaviors for both business and consumer-oriented campaigns.
Forward-Looking Statements and Disclaimer
Certain statements in this press release may be forward-looking. These statements include those relating to the Transaction, the closing date of the Transaction, the potential impact of the acquisition on the Company, the ability of the Company to raise funds in connection with the private placement and the use of the proceeds raised in connection with said private placement. Although the Company believes that such forwardlooking statements reflect expectations based on reasonable assumptions, it cannot guarantee that its expectations will be realized. These assumptions, which may prove to be inaccurate, include, but are not limited to, the following:
(i) All the conditions of the transaction will be met. In particular, ATW Tech will perform satisfactory due diligence on Semeon‘s operations, finances, legal status and other matters; (ii) ATW Tech and Semeon‘s shareholders will be able to negotiate and conclude a purchase agreement and other documents related to the transaction; (iii) ATW Tech will obtain the necessary regulatory approvals for the acquisition of Semeon on commercially reasonable terms; (iv) The acquisition of Semeon will enable ATW Tech to realize the anticipated synergies; (v) ATW Tech’s officers will not set or achieve any other strategic objectives using the proceeds of the Private Placement. The factors that may affect the achievement of the expected results include (i) The discovery in the due diligence process of elements unfavorable to Semeon that would prevent ATW Tech from proceeding with the purchase; (ii) The failure of negotiations between the parties with respect to final documentation; (iii) The Company’s inability to realize the anticipated synergies for any reason or due to technical issues that prevent the integration of Semeon‘s systems with those of ATW Tech; (iv) The Company’s inability to effectively use the proceeds of the private placement; (v) The Company’s inability to obtain the regulatory approvals necessary for the acquisition or the private placement; (vi) Labor disputes or the occurrence of similar risks; (vii) ) a deterioration in the financial market conditions that prevent the Company from raising the required funds in a timely manner, and (viii) the Company’s inability to develop and implement a business plan in general and for any reason whatsoever. A description of the risks affecting the Company’s business and activities appears under the heading “Risks and Uncertainties” on pages 12 to 13 of ATW Tech’s 2019 annual management’s discussion and analysis, which is available on SEDAR at www.sedar.com. No assurance can be given that any events anticipated by the forward-looking information in this press release will transpire or occur, or if any of them do, the benefits that ATW Tech will derive therefrom. In particular, no assurance can be given as to the future financial performance of ATW Tech. ATW Tech disclaims any intention or obligation to update or revise any forward-looking statements in order to account for any new information or any other event. The reader is warned against undue reliance on these forward-looking statements.
Additional information regarding ATW Tech is available on SEDAR www.sedar.com
SOURCE:
ATW Tech Inc.
Michel Guay
Founder, president and CEO
Tel.: 844.298.5932 ext. 301
[email protected]
www.atwtech.com
Artificial Intelligence
Fingerprint Sensor Market worth $5.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, May 27, 2024 /PRNewswire/ — The Fingerprint Sensor Market is projected to grow from USD 4.2 billion in 2024 and is estimated to reach USD 5.9 billion by 2029; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 7.0% from 2024 to 2029 according to a new report by MarketsandMarkets™. The rise in number of identity threats is one of the key factors leading to emergence of fingerprint technologies. Identity theft refers to the illegal acquisition of an individual’s personal or financial details to perpetrate fraud, including unauthorized transactions. It occurs through various methods and inflicts harm on victims’ credit, finances, and reputation.
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Browse in-depth TOC on “Fingerprint Sensor Market” 100 – Tables60 – Figures200 – Pages
Fingerprint Sensor Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 4.2 billion in 2024
Estimated Value by 2029
$ 5.9 billion
Growth Rate
Poised to grow at a CAGR of 7.0%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By technology, sensor technology, type, end-use application and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Sensor performance limitations
Key Market Opportunities
Increased adoption of IoT-based biometric technology
Key Market Drivers
Rise in number of identity threats leading to emergence of fingerprint technologies
Area & Touch sensors in the sensor type segment is expected to witness higher CAGR during the forecast period.
Area & touch sensors segment is expected to witness a higher CAGR during the forecast period in the fingerprint sensor market. These sensors activate upon physical contact with an object or individual and are more sensitive compared to traditional buttons or manual controls. They provide users with a seamless and responsive experience, making them ideal for modern electronic devices where sleek design and user convenience are paramount.
The 2D segment in the fingerprint sensor market is expected to capture higher share during the forecast period.
2D sensor technology captures a person’s fingerprint pattern, including ridges and valleys, in two dimensions using a single plane of lasers to measure the X and Y dimensions. This technology is primarily utilized for detection and ranging tasks. Due to its affordability, 2D sensor technology remains popular among OEMs, especially in mobile devices requiring compact sensors to meet the preferences of end users. Key players such as Synaptics Incorporated (US), Fingerprints (Sweden), and Shenzhen Goodix Technology Co., Ltd. (China) offer 2D sensors for various consumer electronics and applications.
Ultrasonic is expected to witness the highest CAGR in the fingerprint sensor market during the forecast period.
Ultrasonic fingerprint sensors utilize sound waves to penetrate the outer layers of the skin, enabling the capture of three-dimensional (3D) details and distinct fingerprint characteristics like ridges and sweat pores. Unlike current capacitive touch-based fingerprint technologies, ultrasonic sensors can read both the epidermal and dermal layers of the skin, allowing for the capture of fine details. Consequently, these sensors can accurately read wet fingers or those with ruptured or damaged skin. The continuous advancements in sensing technology are expected anticipated to propel the growth of the ultrasonic fingerprint sensor market. In January 2022, vivo (China) announced the 1000 9 Pro smartphone with Qualcomm’s 3D Sonic Max ultrasonic fingerprint sensor. The new smartphone is based on Snapdragon 8 Gen 1 processor. The Qualcomm 3D Sonic Max in the IQ00 9 Pro enables a super-fast one-tap fingerprint registration process.
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North America is expected to hold the second largest share of the fingerprint sensor industry during the forecast period.
North America is driven by the increasing adoption of biometric authentication across various sectors, particularly consumer electronics, government, and commercial domains. The US Department of Homeland Security (DHS) has been actively promoting the use of biometric technologies, including fingerprint sensors, for enhancing border security and immigration processes. The DHS’s Biometric Entry-Exit Program has facilitated the deployment of fingerprint scanners at various ports of entry, contributing to the market’s growth in the region. According to November 2023 statistics by US Department of Homeland Security (DHS), 1,018,349 persons obtained lawful permanent resident status in year 2022 compared to 740,002 persons in 2021, which is 37.6% y-o-y increase.
Key Players
Major vendors in the fingerprint sensor companies include Shenzhen Goodix Technology Co., Ltd. (China), Fingerprints (Sweden), Synaptics Incorporated (US), Apple Inc. (US) NEXT Biometrics (Norway), Novatek Microelectronics Corp. (Taiwan), Qualcomm Technologies, Inc. (US) among others.
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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting
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About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact: Mr. Aashish MehraMarketsandMarkets™ INC. 630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Web Site: https://www.marketsandmarkets.com/Research Insight: https://www.marketsandmarkets.com/ResearchInsight/fingerprint-sensors-market.aspContent Source: https://www.marketsandmarkets.com/PressReleases/fingerprint-sensors.asp
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Artificial Intelligence
Cloud Analytics Market worth $118.5 billion by 2029- Exclusive Report by MarketsandMarkets™
CHICAGO, May 27, 2024 /PRNewswire/ — The market for cloud analytics has a promising future because of the acceptance of real-time analytics, the expansion of big data and IoT, and the integration of AI and machine learning. Its adoption across multiple industries will be further accelerated by improved security, edge computing integration, and user-friendly platforms that prioritise data-driven decision-making and customised customer experiences.
The Cloud Analytics Market is estimated to grow from USD 35.7 billion in 2024 to USD 118.5 billion in 2029, at a CAGR of 27.1% during the forecast period, according to a new report by MarketsandMarkets™. Cloud analytics revolutionizes data storage and analysis by harnessing the power of the cloud. By storing and analyzing data in the cloud, businesses can extract actionable insights crucial for both SMEs and large enterprises. This approach facilitates identifying patterns, predicting future outcomes, and gaining valuable insights. Cloud analytics offers an opportunity to consolidate data and convert it into actionable intelligence while reducing procurement and maintenance costs. It involves utilizing both cloud-stored data and the rapid computing power of the cloud for faster analytics. However, with cloud infrastructure, organizations gain access to scalable, secure, and efficient data storage and processing solutions, enabling them to meet the demands of big data and drive innovation.
Browse in-depth TOC on “Cloud Analytics Market”
333 – Tables 66 – Figures342 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering, Data Type, Data Processing, Vertical, and Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), Google (US), Microsoft (US), Teradata (US), Salesforce (US), AWS (US), NetApp (US), Qilk (US), Sisense (US), SAP (Germany), Atos (France), Altair (US), Microstrategy (US), Tibco Software (US), Hexaware Technologies (India), Zoho (India), Rackspace Technology (US), Splunk (US), Cloudera (US), Domo (US), Hewlett Packard Enterprise (US), Incorta (US), Tellius (US), Rapyder (US), Hitachi Vantara (US), Board International (Switzerland), Ridge (Israel), Jaspersoft (US), Yellowfin (Australia), Deonodo (US), GoodData (US), Thoughtspot (US), and Infogain (US)
By offering the services segment to account for higher CAGR during the forecast period
Services segment in the Cloud Analytics Market have experienced remarkable growth in the Cloud Analytics Market, fueled by the increasing adoption of data-driven decision-making across industries. These services offer businesses the capability to analyze vast amounts of data stored in the cloud swiftly and efficiently, enabling them to extract valuable insights for strategic planning, optimization, and innovation. With the scalability and flexibility of cloud infrastructure, analytics services can accommodate diverse data types and analytical workloads, empowering organizations to derive actionable intelligence from their data in real time. As businesses continue to prioritize agility and competitiveness, the demand for cloud analytics services is expected to soar, driving further innovation and expansion in the Cloud Analytics Market landscape.
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By Type, advanced analytics solution is expected to hold the largest market size for the year 2024
The surge in advanced analytics adoption within the Cloud Analytics Market is reshaping the landscape of data-driven decision-making. Organizations across diverse sectors are increasingly turning to advanced analytics solutions hosted on cloud platforms to extract deeper insights from their data. This trend stems from the growing realization that traditional analytics methods are no longer sufficient to cope with the complexities of modern data ecosystems. Advanced analytics, powered by machine learning algorithms, predictive modeling, and AI, offer unparalleled capabilities to uncover hidden patterns, forecast trends, and optimize business processes. By leveraging the scalability, flexibility, and cost-effectiveness of cloud infrastructure, businesses can access powerful analytics tools without the burden of hefty upfront investments in hardware and software. As a result, the Cloud Analytics Market is witnessing rapid expansion, fueled by the transformative potential of advanced analytics in driving innovation, enhancing operational efficiency, and gaining a competitive edge in today’s data-driven economy.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The healthcare and life sciences sector is experiencing a transformative shift with the emergence of cloud analytics. This technology integrates vast amounts of data from various sources, including electronic health records, wearable devices, and genomic information, to derive meaningful insights and drive informed decision-making. Cloud analytics offers scalability, flexibility, and cost-effectiveness, enabling organizations to efficiently manage and analyze massive datasets that were previously challenging to handle. By leveraging advanced analytics techniques such as machine learning and predictive modeling, healthcare providers and life sciences companies can enhance patient care, optimize clinical workflows, and accelerate drug discovery processes. Moreover, cloud-based analytics facilitates collaboration among researchers, clinicians, and stakeholders, fostering innovation and driving advancements in personalized medicine and population health management. As the industry continues to embrace digital transformation, cloud analytics stands as a cornerstone for unlocking the full potential of data-driven healthcare and life sciences initiatives.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia Pacific region is experiencing a significant surge in the adoption of cloud analytics, reshaping how businesses make data-driven decisions. Companies spanning various industries are embracing cloud-based analytics platforms to optimize operations, foster innovation, and gain actionable insights. Additionally, the ubiquitous nature of mobile devices and internet connectivity has heightened the demand for real-time analytics accessible from anywhere. Governments and enterprises recognize the strategic value of harnessing analytics to maintain competitiveness in the global marketplace. Consequently, investments in cloud analytics technologies and talent development are escalating, positioning the Asia Pacific region as a pivotal player in the global cloud analytics landscape.
Top Key Companies in Cloud Analytics Market:
The significant cloud analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), Google (US), Microsoft (US), Teradata (US), Salesforce (US), AWS (US), NetApp(US), Qilk(US), Sisense (US), SAP (Germany), Atos (France), Altair (US), Microstrategy (US), Tibco Software (US), Hexaware Technologies (India), Zoho (India), Rackspace Technology (US), Splunk (US), Cloudera (US), Domo (US), Hewlett Packard Enterprise (US), Incorta (US), Tellius (US), Rapyder (US), Hitachi Vantara (US), Board International (Switzerland), Ridge (Israel), Jaspersoft (US), Yellowfin (Australia), Deonodo(US), GoodData(US), Thoughtspot (US), and Infogain (US). These companies have used organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Cloud Analytics Market.
Recent Developments:
In January 2024, Salesforce unveiled fresh Commerce Cloud tools leveraging generative AI and data-driven insights, enhancing every customer interaction for heightened loyalty and revenue growth.In February 2024, IBM and Wipro strengthened their collaboration to offer clients expanded AI services and support. This collaboration aims to utilize AI technologies to tackle various business challenges and foster innovation across industries.In June 2023, Salesforce and Google formed a partnership. The partnership between Salesforce and Google focuses on integrating Google’s AI capabilities into Salesforce’s products, enhancing their analytics offerings.In May 2023, Microsoft launched Microsoft Fabric Data Analytics which is a cutting-edge platform tailored for the AI era, facilitating seamless integration of analytics and AI capabilities into data processing workflows. It streamlines data ingestion, preparation, and analysis, enabling organizations to derive actionable insights efficiently.In August 2022, Teradata introduced VantageCloud Lake, a cloud-native service designed to simplify data lakes for businesses, enabling seamless management and analytics of vast data sets.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=959
Cloud Analytics Market Advantages:
Platforms for cloud analytics offer scalable resources, making it simple for companies to modify their requirements for storage and processing power in response to demand. Because of its adaptability, businesses may manage different data volumes without having to make costly infrastructure investments.Businesses can lower their capital hardware and software costs by utilising cloud analytics. Pay-as-you-go cloud service pricing allows businesses to optimise their total IT expenditure by only paying for the resources they really utilise.Compared to on-premises systems, cloud analytics solutions may be implemented and deployed far more quickly. This speedy deployment shortens the time to insight, allowing companies to begin data analysis and value extraction right away.Platforms for cloud-based analytics enable remote access to analytics tools and data from any location with an internet connection. Team members can collaborate on data projects regardless of location thanks to this accessibility, which fosters teamwork.Advanced analytics features like machine learning, artificial intelligence, and predictive analytics are frequently included in cloud analytics solutions. Organisations can gain deeper insights and make better decisions with the aid of these technologies.Businesses can analyse data as it is generated with the use of cloud analytics solutions, which provide real-time data processing and analytics. Applications that need instant insights, like fraud detection, operational monitoring, and customer engagement, depend on this real-time capacity.Platforms for cloud analytics can easily interface with a range of data sources, such as databases, data lakes, outside apps, and Internet of Things gadgets. A unified perspective of corporate operations and thorough data analysis are guaranteed by this integration capabilities.Report Objectives
To define, describe, and predict the Cloud Analytics Market by offering, data type, data processing, vertical, and regionTo describe and forecast the Cloud Analytics Market, in terms of value, by region—North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the overall Cloud Analytics MarketTo profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with detailing the competitive landscape for market leadersTo analyze competitive developments such as joint ventures, mergers and acquisitions, product developments, and ongoing research and development (R&D) in the Cloud Analytics MarketTo provide the illustrative segmentation, analysis, and projection of the main regional marketsBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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Get access to the latest updates on Cloud Analytics Companies and Cloud Analytics Industry
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Aashish MehraMarketsandMarkets™ INC. 630 Dundee Road Suite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Website: https://www.marketsandmarkets.com/
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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]
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