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3 Things About Palantir That Smart Investors Know – The Motley Fool

Palantir (PLTR 1.44%) gained a lot of attention when it went public through a direct listing in 2020. It initially developed its data analytics platform with funding from the CIA in response to the terrorist attacks of Sept. 11, 2001, and its technology was reportedly used to hunt down Osama Bin Laden in 2011. Its Gotham platform has been widely adopted by the U.S. military and a wide range of government agencies over the past two decades, and it boldly declared it would become the "default operating system for data across the U.S. government" in its S-1 filing prior to its public debut.

All that excitement propelled Palantir's stock price from its debut price of $10 to an all-time high of $39 in January 2021. But today, it trades at about $15 a share. It lost its luster as its growth cooled off and rising interest rates rattled the markets.

Image source: Getty Images.

I recently discussed Palantir's underlying problems, and noted that it still wasn't a bargain relative to its industry peers even though its profits were rising. Today, I'll cover three less obvious issues that smart investors should also be familiar with.

Palantir generated 45% of its revenue from its government clients in its most recent quarter. That business might initially seem rock-solid since Palantir established a first-mover advantage across the U.S. government, but it could actually be derailed by internally developed platforms across those agencies.

For example, Immigration and Customs Enforcement (ICE) has reportedly been developing its own data mining platform, RAVEn, to replace FALCON, the agency's customized version of Palantir Gotham. If other government agencies follow ICE's example over the next few years, Palantir's government business could gradually crumble.

In its latest annual report, Palantir admits that it is "fundamentally competing with the internal software development efforts of our potential customers." It doesn't directly address RAVEn or ICE in that report, but it admits that "organizations frequently attempt to build their own data platforms before turning to buy ours."

Throughout 2021 and 2022, Palantir invested more than $400 million into 20 start-ups that were merging with special purpose acquisition companies (SPACs). Each of those investments was worth $10 million to $40 million.

But there was an odd catch: All those companies needed to sign multiyear contracts with Palantir that either matched or exceeded the company's initial investment. As a result, Palantir secured more than $700 million in contracts from its own SPAC-backed companies, which significantly boosted its reported revenue in 2021. At the same time, it repeatedly told its investors it could grow its annual revenue by at least 30% over the long term.

However, critics will claim that strategy merely turned Palantir's own cash into revenue through risky investments. By the end of 2022, the average value of Palantir's SPAC-backed start-ups had plummeted about 80% after rising interest rates popped the SPAC bubble and drove investors away from speculative growth stocks.

Palantir's revenue only rose 24% in 2022, and it stopped reiterating its long-term outlook for 30% growth. It expects its revenue to only rise 14%-17% this year. It mainly blamed that slowdown on the macroeconomic headwinds, but the implosion of its pay-for-revenue SPAC portfolio likely exacerbated that pressure.

Most investors likely know Palantir's Gotham platform serves its government clients, while its Foundry platform serves its enterprise clients. However, it also launched a third platform, Apollo, as the support system for both platforms in 2021.

Apollo is a cloud-based platform that continuously delivers new features, security updates, and platform configurations to Gotham and Foundry. It's essentially the glue that holds Palantir's platforms together and ensures they can operate in "any environment." That cohesiveness, which makes Apollo comparable to cloud-based software update platforms like JFrog, ensures that Palantir's government and enterprise platforms both continue to operate at peak efficiency with the latest data.

These three factors might not matter as much as the near-term macro headwinds, but they tell us a lot about Palantir's future. It could face competition from internally developed platforms across the U.S. government, while the implosion of its SPAC portfolio raises troubling questions about its growth strategies. As for Apollo, it shows us that Gotham and Foundry are two sides of the same coin -- and that they both need to consistently mine data from disparate sources to keep growing.

Leo Sun has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends JFrog and Palantir Technologies. The Motley Fool has a disclosure policy.

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DeSantis signs SB 262, creating Digital Bill of Rights to protect Floridians’ digital rights, privacy – WTSP.com

THE VILLAGES, Fla. Florida Gov. Ron DeSantis paused his presidential campaign to sign a bill into law targeting transparency with technology in the state.

During a news conference Tuesday in Wildwood, DeSantis signed SB 262,which creates a so-called "digital bill of rights" to protect Floridians' digital rights and privacy from "Big Tech" companies.

[Technology is] such a big part of our daily lives and theres some benefits to that but there are also some drawbacks to that, DeSantis said. I think weve seen with some of these 'Big Tech' companies how theyve used their power to advance their agenda, how theyve used their power to commandeer personal information of individual Americans.

"We wanna make sure that were providing protection for Floridians to speak their mind on these platforms, making sure that their data isnt monetized without their consent.

Here's a breakdown of everything the freshly signed bill will do.

The law requires Google and other large search engines to release information on whether they prioritize search results based on political ideology, according to the governor's office.

The legislation also puts a block on what DeSantis called government-led censorship by stopping state or local employees from conspiring with "Big Tech" companies to censor protected speech.

In a statement, leaders explain the newly created "digital bill of rights" includes:

Floridians should have the right to control their own personal data, DeSantis said in a statement. If a multibillion-dollar company is conspiring to take your data and sell it or use it against you, it is your right to be able to protect that data.

"No longer will the Big Tech oligarchs be able to commandeer your personal information and deprive you of the right to access, confirm, or delete that data as you wish.

This freshly signed bill will also require that an online search engine publishes an up-to-date plain language description of the main parameters that are most significant in determining ranking and the relative importance of those main parameters, according to the governor's office.

Government employees will now be blocked from using their position to be in contact with social media platforms to remove content or accounts from the platform. On top of that, a governmental entity can't initiate or maintain any agreements or working relationships with a social media platform for the purpose of content moderation, the release explains.

This bill builds on legislation the governor signed recently, SB 258, which bans the use of TikTok and other "dangerous" foreign-made apps on government and educational institution devices across the state.

It codifies previous legislation and makes it applicable to all stages of local and state government, DeSantis said.

"So if you're trying to get on the WiFi or something with one of these CCP-backed apps, it's not going to let you go and do that," DeSantis previously said. "We think that's appropriate because we think whatever utility these applications have is clearly outweighed by the benefit that the CCP gets from data mining and being able to collect information."

Click here to read the full text for SB 262.

The Associated Press contributed to this report.

Watch the full news conference down below.

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Process Mining Software Market to Expand with Significant CAGR … – Digital Journal

PRESS RELEASE

Published June 5, 2023

New York, According to a new market research report published by Global Insight Services Process Mining Software Market is expected to grow by 2031. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.

Download Sample of Report : https://www.globalinsightservices.com/request-sample/GIS21305

Process mining software is a type of business process management (BPM) software that uses data mining techniques to discover, model, and monitor business processes. By analyzing data from event logs, process mining software can automatically generate process models that can be used to improve process performance. Process mining software can also be used to monitor process compliance and to detect process anomalies.

Key Trends

There are a few key trends in process mining software technology:

1. Increased focus on user experience and ease of use: Many process mining software vendors are focusing on making their products more user-friendly, with an emphasis on creating a good user experience.

2. More sophisticated data analysis: Process mining software is becoming more sophisticated, with vendors offering more advanced data analysis features. This is in response to the growing demand from businesses for more insights into their processes.

3. Greater integration with other business systems: Process mining software is becoming more integrated with other business systems, such as ERP and CRM systems.

Key Drivers

There are a number of factors driving the process mining software market.

Firstly, the increasing adoption of process mining software in a number of industries is helping to drive growth. Process mining software is used to improve efficiency and optimize processes, and as such, it is being increasingly adopted across a range of industries.

Secondly, the increasing availability of process mining software is also helping to drive growth. There are a number of vendors offering process mining software, and as such, it is becoming increasingly accessible.

Finally, the increasing trend for businesses to adopt cloud-based solutions is also helping to drive growth in the process mining software market.

Get A Customized Scope to Match Your Need Ask an Expert : https://www.globalinsightservices.com/request-customization/GIS21305

Market Segments

The process mining software market is segmented by deployment, enterprise size, end-use, and region. By deployment, the market is classified into on-premise, and cloud. Based on enterprise size, it is bifurcated into large enterprises, small enterprises, and medium enterprises. On the basis of end-use, it is divided into BFSI, healthcare, retail, manufacturing, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and Rest of the World.

Key Players

The global process mining software market includes players such as UiPath, Celonis GmbH, Exeura, Fluxion BV, Fujitsu Ltd, Hyland Software Inc, Minit, QPR Software Plc, Software AG, ABBYY Solutions Ltd, and others.

Reasons to buy Process Mining Software Market Report:

Develop comprehensive understanding of market landscape industry structure, value-chain, key players, trends, drivers, and challenges Drive revenue and market-entry strategy by gaining insights into which segments and geographies are largest and likely to grow fastest Formulate sales and marketing strategies by gaining understanding of competitors, their positioning, and strengths & weaknesses Develop business and M&A strategies through understanding of latest trends and emerging players in the market Refine your business plans by understanding impact of disruptions such as Covid-19 and Russia-Ukraine conflict on the market

New Report Published by Global Insight Services : https://www.globalinsightservices.com/reports/hydrogen-projects-database/

About Global Insight Services:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

Contact Us:

Global Insight Services LLC16192, Coastal Highway, Lewes DE 19958E-mail: [emailprotected]Phone: +1-833-761-1700Website: https://www.globalinsightservices.com/

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New study reveals the resilience patterns of human mobility in … – EurekAlert

image:Figure 1. The four resilience patterns of human mobility in this event (together with corresponding occupation ratio in the area) and their geographical distribution from the view of both inflow and outflow view more

Credit: Science China Press

Resilience can be interpreted as the comprehensive ability of a system to prepare for, absorb, and recover from external or internal disturbances and shocks. In the context of human mobility, resilience therefore refers to the ability of people's movements within and between cities to cope with and adapt to disruptive events, such as natural disasters.

On July 20, 2021, a record-breaking heavy rainfall occurred in the Zhengzhou region, Henan province, China, an inland densely-populated region with a total area of 7600 km2, 12.7 million residents, and a 79.1% urbanization rate. The region is located in a semiarid area and is known for its relatively low average annual precipitation. This unexpected heavy rainfall led to an extreme urban flood, causing massive injuries to the public and losses in critical infrastructure systems, with a death toll of 380; nearly two million people were affected. Very quickly, this apocalyptic event in central China drew extensive attention globally. Using 1.32 billion mobile phone signaling records generated by 4.35 million people during 720 Zhengzhou flood event, researchers from Peking University, Henan University, and Key National Geomatics Center of China jointly analyzed how people's mobility responded to this extreme urban flood disaster in 2021 summer.

Owing to the growing availability of mobile phone big data and advanced data mining techniques, we can now uncover more details regarding how people collectively moved and responded to this unprecedented urban flood disaster. said Professor Pengjun Zhao, the lead author of the study and the Dean of the School of Urban Planning and Design from Peking University.

1. Who is more vulnerable to the impact of this flooding event?

By grouping data based on traveler's gender and age, the study found that there were significant differences in the mobility resilience of different groups, with female, adolescent under 18 years old, and older adults over 60 years old exhibiting relatively lower resilience and therefore being more likely to be affected by flooding. The study highlights the importance of considering demographic data in disaster planning and response efforts, as certain groups may require targeted support and resources in order to effectively mitigate the impact of disasters

The result quantitatively illustrates the probability of maintaining the usual travel frequency in these population groups is much lower than other groups during the event, which explains their lower resilience level and insufficient recovery. said Prof. Zhao.

2. Counterintuitive resilience patterns in human mobility

Additionally, by analyzing the changes of mobility in various geographical scales, the study further unraveled four distinct patterns of human mobility (Fig. 1). Of these modes, three abnormalities were found, namely reversed bathtub curve, ever-decreasing curve, and ever-increasing curve. Together, these abnormal patterns account about 50% of the total area.

These abnormal resilience patterns indicate unusual collective mobility behaviors in response to this severe disaster. Taking the inflow as an example, the reversed bathtub pattern confirms that this flood disaster stimulates inflow mobility instead of suppressing it in those places " said Dr. Junqing Tang, the first author of this study, Assistant Professor at the School of Urban Planning and Design. " Meanwhile, in the recovery stage, the high mobility inflow dissipates to a lower level. This could reflect disaster avoidance behaviors in which people temporarily alter their travel route choices to agglomerate at certain new spots during the flood, but after the event, they shift back to their regular routes. " he added.

3. Are these abnormal resilience patterns associated with traveler's characteristics?

The research team further explored the association between the heterogeneous resilience patterns and traveler's gender and age attributes. The results indicate that both normal and abnormal mobility resilience patterns are not essentially associated with either gender or age. This particular finding implies that on a collective scale whether the dynamic human movements in response to urban floods follow a normal or abnormal resilience pattern cannot be explained by their gender or age attributes, indicating that a universal behavioral mechanism of disaster-avoidance responses might exist across populations. Given the common association between travel behaviors and traveler's socio-demographical characteristics, evidence here provide a potential "heads-up" for probing unusual human mobility during flood-induced emergencies.

This study was supported by the National Natural Science Foundation of China (41925003 & 42130402), Start-up Funding for New Faculty at Peking University Shenzhen Graduate School (1270110033), and Guangdong Basic and Applied Basic Research Foundation (2021A1515110537).

See the article:

Resilience patterns of human mobility in response to extreme urban floods https://doi.org/10.1093/nsr/nwad097

National Science Review

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Crown Sterling Appoints President and Chief Legal Officer – Yahoo Finance

NEWPORT BEACH, Calif., June 5, 2023 /PRNewswire/ -- Crown Sterling Limited LLC, leader in Personal Data Sovereignty and provider of quantum-secure encryption and decentralized community platform Orion Messenger, announces Andrew Lusk has been appointed President and Chief Legal Officer.

Mr. Lusk joins the team with over 10 years of experience as a trusted legal and risk advisor across finance, corporate affairs, and real estate. An early advocate and investor in digital currencies and blockchain technology, Mr. Lusk brings extensive understanding of the industry's evolving landscape, notable legal acumen, innovation, and leadership to the team.

"We are thrilled to have Andrew lead our day-to-day operations as President of Crown Sterling as we move into the next phase of our commercialization efforts and preparation for the launch of our Quantum-Secure End-to-End Encrypted Orion Messenger application slated for later this year," said Crown Sterling Founder and CEO Robert Edward Grant.

"It is an honor to be joining Crown Sterling. I've been astonished by the conflux of groundbreaking vision and technological prowess exhibited by this international, cross-disciplinary team. They are building something revolutionary, and I look forward to playing my part," shared Mr. Lusk.

About Crown Sterling Limited LLC

Leader in Personal Data Sovereignty and provider of quantum-secure encryption, Crown Sterling empowers individuals in an era of unregulated data consolidation, monopolization, and monetization by Big Tech. By leveraging next-generation encryption, blockchain technology, and decentralized digital transformation represented by Web3, we are committed to granting individuals complete control over their personal data and supporting the protection of free speech, assembly, and choice.

The launch of Orion Messenger presents a quantum-secure end-to-end encrypted, and decentralized communications platform as a solution where sovereign individuals and communities can thrive. Unlike commonly used applications that rely on vulnerable encryption protocols, data mining practices, and other limitations, Orion is the only platform allowing for large, encrypted group chat and social media communications in an unmonitored and uncensorable environment. Join the Orion Messenger waitlist.

SOURCE Crown Sterling

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The Role of Machine Learning in Text Mining and Information … – CityLife

Exploring the Synergy between Machine Learning and Text Mining for Enhanced Information Retrieval

Machine learning, a subset of artificial intelligence, has been making significant strides in recent years, transforming the way we interact with technology and the world around us. One area where machine learning has been particularly influential is in the field of text mining and information retrieval. As the volume of digital data continues to grow exponentially, the need for efficient and effective methods of extracting valuable insights from this data becomes increasingly important. This is where the synergy between machine learning and text mining comes into play, enabling enhanced information retrieval and opening up new possibilities for data-driven decision making.

Text mining, also known as text analytics, refers to the process of extracting meaningful information from unstructured text data. This involves techniques such as natural language processing, sentiment analysis, and topic modeling, which help to identify patterns, trends, and relationships within the data. Information retrieval, on the other hand, is the process of searching for and retrieving relevant information from a large collection of documents, such as a database or the internet. The goal of information retrieval is to provide users with the most relevant and useful information in response to their queries.

Machine learning algorithms have been increasingly employed in text mining and information retrieval tasks, as they have the ability to learn from data and improve their performance over time. This is particularly useful in dealing with the vast amounts of unstructured text data that is generated every day, as traditional rule-based approaches struggle to keep up with the scale and complexity of this data.

One of the key advantages of using machine learning in text mining is its ability to automatically identify and extract relevant features from the data. This is particularly useful in tasks such as sentiment analysis, where machine learning algorithms can be trained to recognize and classify the sentiment of a piece of text based on the words and phrases it contains. By learning from large datasets of labeled examples, these algorithms can become highly accurate in their predictions, enabling businesses to gain valuable insights into customer opinions and preferences.

Another area where machine learning has proven to be highly effective is in topic modeling, a technique used to discover the underlying themes and topics within a collection of documents. Machine learning algorithms can automatically identify the most important words and phrases associated with each topic, allowing users to quickly and easily understand the main ideas and trends within the data. This can be particularly useful in applications such as news article categorization, where machine learning models can be trained to automatically classify articles based on their content.

In the realm of information retrieval, machine learning has been instrumental in improving the relevance and accuracy of search results. Traditional keyword-based search algorithms often struggle to understand the true intent behind a users query, leading to suboptimal results. Machine learning algorithms, however, can learn to understand the semantic meaning behind a query, enabling them to provide more relevant and useful results. This is particularly important in the age of voice search and natural language queries, where users expect search engines to understand and respond to their questions in a more conversational manner.

In conclusion, the synergy between machine learning and text mining has led to significant advancements in the field of information retrieval. By leveraging the power of machine learning algorithms, businesses and researchers can now extract valuable insights from vast amounts of unstructured text data, enabling them to make more informed decisions and uncover previously hidden patterns and trends. As machine learning technology continues to evolve and improve, we can expect to see even greater enhancements in the capabilities of text mining and information retrieval systems, opening up new possibilities for data-driven decision making and knowledge discovery.

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Pirichain Aims to Simplify Blockchain Usage to All of Industry. | Bitcoinist.com – Bitcoinist

Pirichain introduces a new environment to further advance the increasingly mainstream blockchain technology. With its simple and adaptable ecosystem, Pirichain enables users to securely store and analyze data, create personalized ecosystems, and make data-driven decisions. In essence, this platform provides a comprehensive solution that seamlessly integrates with external environments such as APIs and web services, meeting individual and corporate needs. It allows crypto investors, Web3 developers, companies, or public technology units to effortlessly establish their own ecosystems compared to other blockchains. It transforms blockchain technology from being solely a financial instrument into an automation infrastructure that can be utilized across almost all industries.

In the age of information overload, determining the reliability of sources is crucial. Blockchain applications go beyond simple asset transfers and transactions and have the potential to address this issue. Pirichain introduces a novel solution by providing verified data from trustworthy senders through a Domain (DNS) based proof system called D.V.P.A (Domain Verified PIRI Address). This innovative approach ensures the authenticity and integrity of the data, enhancing trust and transparency in the blockchain ecosystem.

Wallet owners can become approved senders by defining representative authority for their domain addresses. While a domain authority can be granted for a wallet address, multiple representative definitions can be made within a domain (DNS) record. This allows businesses and institutions to establish multiple verification systems with multiple domains or subdomains. Additionally, the system ensures tamper-proof integrity by having transactions approved by independent parties, while data is instantly backed up and verified across multiple servers. Institutions also have mechanisms in place to verify their own addresses, ensuring that the systems interactions are transparent and clear. Furthermore, Pirichain Wallet Address, which can be verified and provided by any type of user, enhances overall reliability alongside the domain web address.

Pirichain not only provides businesses with a secure way to store and transact data but also enables them to gain meaningful insights. The Dynamic Consensus model, another innovative approach introduced by Pirichain, allows businesses to establish customized rules among server nodes, promoting collaboration and flexibility. Companies can use Pirichain to create their own data ecosystems and encrypt their data alongside asset transactions. Whether in an internet or intranet environment, it becomes possible to establish an ecosystem and sub-ecosystems.

Pirichain commits to serving almost all industries. Some of these industries include healthcare, agriculture, education, law, manufacturing, public transportation, logistics, finance, cybersecurity, smart city, artificial intelligence, gaming, and IoT/IoMT. It eliminates the hassle of following different integration procedures for each of these industries and enables data exchange through APIs and Pirichain Smart Scenarios. This ensures seamless integration and data interoperability across various sectors.

Pirichain also introduces a concept called Pirichain Smart Scenarios as part of its offerings. While smart contracts have gained popularity in the market, this concept brings new features and expanded usability. One notable feature is that Pirichain Smart Scenarios can be written in JavaScript or TypeScript, providing flexibility for developers. Another feature is the ability to manage multiple assets within a single scenario. However, the most significant feature is the seamless integration of data exchange with external web services without the need for additional libraries. This capability opens up almost unlimited options for any company, individual, or institution seeking to build a data ecosystem using blockchain technology.

The ICO process will continue until the end of June 2023. Regarding the short-term goals of the platform, investors can participate in ongoing public and private sales, which provide them with the opportunity to acquire Pirichain tokens at advantageous prices. Additionally, Pirichain aims to pursue listings on tier-1 and tier-2 exchanges, with the intention of increasing accessibility and liquidity for token holders.

In terms of long-term goals, Pirichain has ambitious plans to enhance its data processing and analysis capabilities. Within a year, it aims to implement data mining methods such as pattern recognition, clustering, data pre-processing, logistic regression, and others. The platform will also incorporate artificial intelligence techniques such as artificial neural networks, genetic algorithms, and reinforcement learning.

Pirichain also plans to continue its efforts to be listed on Tier-1 exchanges in order to increase its market presence and visibility. Additionally, to demonstrate its ability to solve complex blockchain challenges, Pirichain intends to publish informative content on Pirichain Smart Scenarios and collaborate with software companies, IoT manufacturers, and organizations to facilitate education and adoption, thereby offering broader use cases. Furthermore, Pirichain aims to improve the stability and usability of the ecosystem by partnering with enterprise stablecoin providers, as stablecoins play a significant role in this industry.

However, it doesnt stop there. Pirichain aims to improve AI-driven decision-making processes by integrating artificial intelligence and blockchain concepts to uncover meaningful data insights. The platform aspires to be a pioneer in the future evolution of the internet by embracing new technologies.

Lastly, Pirichain aims to establish itself as a trusted global platform for secure digital transactions.

Pirichain is a blockchain platform that facilitates the use of blockchain by providing customizable ecosystems and secure data storage. It is the first blockchain technology that allows businesses, organizations, or individual users to create their own data ecosystems. With a customizable data storage capacity of up to 20 Kb, Pirichain enables the verification of various data types to ensure transaction reliability.

The platform is a strong contender on its way to becoming the global notary of blockchain technology. Its advanced features and focus on verified data management position it as a revolutionary tool that can be used in various industries, such as insurance for pricing operations utilizing Pirichain Smart Scenarios.

In summary, Pirichain represents the next generation of blockchain networks with advanced asset management capabilities, reliable data verification, and exciting data processing and analysis opportunities. Its potential impact extends beyond industries and is a technology to be considered for the future.

For more information and updates, please visit Pirichains official website and follow their Telegram, Medium, and Twitter channels.

Disclaimer:This is a paid release. The statements, views and opinions expressed in this column are solely those of the content provider and do not necessarily represent those of Bitcoinist. Bitcoinist does not guarantee the accuracy or timeliness of information available in such content. Do your research and invest at your own risk.

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Nvidia Market Cap Exceeds US$1 Trillion, an Early Winner in the AI Boom, Reports IDTechEx – Yahoo Finance

BOSTON, June 5, 2023 /PRNewswire/ --While the current AI boom is only just getting started, an early winner is Nvidia, who on Tuesday, May 30th saw the company's market capitalization exceed US$1 trillion for the first time. For a chip designer with no fabrication capabilities of its own, this is a significant moment. Hovering at around US$970 billion as of 1st June, the momentary increase in share price saw Nvidia join an elite club occupied by only five other companies currently: Apple, Microsoft, Alphabet, Amazon, and Saudi Aramco. Previously, only three other companies (Tesla, Meta and PetroChina) have also crossed the US$1 trillion threshold.

Market values for nine US chip designers as of May 30th, 2023. Five of these exceed market capitalizations of US$1 trillion. Market values were calculated using the most recently published volume of outstanding shares from company financial statements, with the price taken as being the NASDAQ day high on May 30th, 2023. Source: IDTechEx

Nvidia's share price has increased roughly 170% since the beginning of the year, growth that has outpaced other members of the S&P 500 index. That growth is directly correlated to the increasing awareness and use of AI tools, and the potential for impact on business and consumers alike.

ChatGPT has been discussed in boardrooms and at the water cooler since it was released in November 2022. As of January 2023, just three months after its release, ChatGPT had registered 100 million users. The chatbot which is built on a large language model consisting of 175 billion parameters was trained using approximately 10,000 Nvidia A100 Graphics Processing Units (GPUs). Nvidia currently accounts for around 80% of all GPUs globally, where the use of these GPUs has been bolstered by AI and data mining (the parallel processing benefits of GPUs making them as useful for the training of AI algorithms as for cryptocurrency mining). Market research company IDTechEx recently published a report that forecasts Nvidia's continued dominance not just on the GPU stage but more specifically as AI hardware leaders, with the company taking a considerable percentage of the forecast US$257 billion AI chip revenue as of 2033.

Presently, Nvidia generates more revenue from their data center and networking market segment (which includes data centre platforms as well as autonomous vehicle solutions and cryptocurrency mining processors) than from their graphics reporting segment. In FY2023, Nvidia generated US$15.01 billion in Data Center revenue, which accounted for 55.6% of the total revenue generated for the year. This presents an increase in Data Center revenue of 41% from 2022, where Nvidia has shown year-on-year growth in Data Center revenues of over 40% since 2020. Contrast this to other AI chip designers such as AMD (who recently acquired Xilinx) and Qualcomm and it is clear that Nvidia are establishing early dominance in the data center AI space.

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The company is not resting on its laurels either. While the A100 is presently the most commonly used chip for AI purposes within data centers, Nvidia announced early this year the H100 GPU, based on their new Hopper architecture. The Hopper architecture is built in TSMC's 4N process (an enhanced version of the 5 nm node), incorporating 80 billion transistors (the A100 has 54.2 billion transistors, made in a 7 nm process). With speedups ranging from 7X to 30X across training and inference when compared with the A100 as well as a comparable thermal design power in the PCIe form factor Nvidia will be supplying the key hardware necessary to run the increasingly complex AI algorithms of tomorrow.

And yet, while Nvidia acquires more of the data center processing market, there is still significant opportunity for chip designers at the edge, which is forecast to grow at a greater compound annual growth rate than for cloud AI over the next ten years, according to IDTechEx's latest report on AI chips. AI at the edge has different requirements than in the cloud, chief among them the power consumption of chips due to the thermal capabilities of the devices in which they are embedded. As chips at the edge can typically consume no more than a few Watts, the complexity of the models that they run must be greatly simplified. A chip such as the A100, with its large footprint and transistor density, would be a waste; instead, companies need not design at the cutting-edge in terms of node processes and can instead opt to manufacture at more mature nodes, which have a lower price point (and therefore barrier to entry) than leading-edge nodes.

It is difficult to determine the precise location of the AI inflection point and how far in the future it is. While opinions may differ, there is no questioning that the AI boom is happening and that AI tools have the capacity to transform workflows across industry verticals. To learn more about the global AI chips market, including the technology developments, key players, and market prospects for AI-capable hardware, please refer to IDTechEx's "AI Chips 2023-2033" report.

To find out more, including downloadable sample pages, please visit http://www.IDTechEx.com/AIChips.

About IDTechEx

IDTechEx guides your strategic business decisions through its Research, Subscription and Consultancy products, helping you profit from emerging technologies. For more information, contact research@IDTechEx.com or visit http://www.IDTechEx.com.

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The TR E-commerce Platform strides at the vanguard of the surging … – Digital Journal

PRESS RELEASE

Published June 6, 2023

As An undisputed global frontrunner, The TR E-commerce Services Limited's focal point is furnishing comprehensive services to merchants on e-commerce platforms. We are unswerving in our pursuit of carving out a premium brand within the e-commerce sphere, concurrently proffering superior services to a worldwide clientele. Consolidating e-commerce, C2C, and B2C operations under one roof, TR Group's esteemed partners are globally-renowned e-commerce marketplace merchants. Offering proficient sales planning services, our corporation catalyzes the progress and prosperity of the e-commerce economy, fostering superior employment opportunities across the globe.

The operative philosophy of the TR Group is a trinity of "Collaboration, Service, Mutual Success," shattering traditional business paradigms and embracing a spirit and corporate culture of "Freedom, Innovation, Sharing." We champion our employees to "Work with Joy, Live with Joy," aspiring for them to genuinely immerse themselves in the liberating and laid-back environment of internet work. Furthermore, the marketing ideology of TR Group - Amoeba Marketing - is soundly established, positioning the fulfilment of target market needs as pivotal in achieving corporate objectives and maximizing value. Through the formation of dedicated marketing teams, we effectuate a tripartite win, crafting maximum value for users, platforms, and merchants alike.

Five crucial advantagesof TR Group:

Being the paragon in the field of e-commerce, the TR Group wields formidable strength and abundant experience, thus commanding our respect and trust.

Media ContactCompany Name: TR E-commerce Services LimitedContact Person: ReynoldEmail: Send EmailCountry: United StatesWebsite: https://trgroupvip.com

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Mining Fatigue Monitoring Market 2023 Data Analysis and Top … – KaleidoScot

The newest research project on Global Mining Fatigue Monitoring Market from 2023 to 2029 by MarketsandResearch.biz provides comprehensive coverage of the industry as well as key market trends, along with previous and projected market data. The paper begins with a basic overview of the Mining Fatigue Monitoring industry, including definitions and applications. The study divides the revenue potential by application, type, and geography in terms of volume and value. The research includes a description of the key players in the industry as well as an itemized analysis of their positions concerning the global landscape.

The analyst conducts a thorough examination of the market size, share, trends, gross profitability, and revenue in order to accurately estimate and provide professional insights to financial backers on global Mining Fatigue Monitoring market trends.

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Market differentiation based on type:

Application-based market segmentation:

The following regions are discussed in the worldwide Mining Fatigue Monitoring market report:

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The following firms are covered in the global market:

For In-Depth Competitive Analysis, Read a Report: https://www.marketsandresearch.biz/report/348775/global-mining-fatigue-monitoring-market-2023-by-company-regions-type-and-application-forecast-to-2029

The general market overall amount of business development, total number of production and distribution, operating margins, importation, exportation, detailed competitive analysis, in-depth cost estimating, vendor geographies, and critical factors for proper market appraisal are all well-integrated. The research aids in the identification of new marketing opportunities and provides a comprehensive picture of the present global Mining Fatigue Monitoring market.

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Contact UsMark StoneHead of Business DevelopmentPhone: +1-201-465-4211Email: sales@marketsandresearch.biz

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