Category Archives: Data Mining
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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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.
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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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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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Pirichain Aims to Simplify Blockchain Usage to All of Industry. | Bitcoinist.com - Bitcoinist
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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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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Mining Fatigue Monitoring Market 2023 Data Analysis and Top ... - KaleidoScot
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.
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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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Labour costs will soon beat oil as mine’s biggest expense, new data … – Canadian Mining Journal
Labour costs are replacing oil products as a mines most expensive item as inflation impacts operating expenses more than capital costs, new reports show.
Wages for some copper and gold mine employees in the southwest United States increased by around 10% in the last year and a half, helping raise hourly pay by 4% at unionized and non-union surface and underground metal and industrial mineral mines across the U.S., according to Costmine Intelligence, a unit of The Northern Miner Group.
The trend is part of 30% higher labour costs since the 2015 commodity bear market, Costmine vice-president Mike Sinden said in a recent interview. Barring another oil price shock, U.S. workforce costs are expected to be the fastest increasing element in a mines expenses, Sinden said. For open pit mines, he says labour could exceed half of their costs.
As non-unionized labour gains bargaining power and union contracts roll off, we expect to see double-digit labour costs, Sinden said. That could really add fuel to the fire if energy prices stay strong.
Labour costs are rising in Canada and the U.S. at a similar pace when accounting for foreign exchange. Until 2021, wage cost increases largely matched inflation at around 2% to 4%, but last year saw some pay increases of 5% to 12%, Costmine data show. Salaried staff saw similar increases.
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Labour costs will soon beat oil as mine's biggest expense, new data ... - Canadian Mining Journal
Op-ed: Conservatives, its time to even the electoral technology … – The Lion
The old aphorism, good for the goose, good for the gander, is yet another casualty of Americas new woke sensibilities.
Along with the concepts of objective truth and fairness, equal treatment under law and policy has become a largely voluntary venture on the part of government, despite being a cornerstone of our republic.
Case in point: the recent uproar over a Wisconsin pro-life group using common cell phone technology to identify people in proximity to abortion clinics in order to send them targeted advertisements offering abortion alternatives.
Known as geofencing, the technique isolates cell phone data based on location, assuming the cell phone user has granted permission for their precise location to be seen. Location data is then gathered and sold to various advertisers to provide a more targeted ad experience, such as lumber ads at the home improvement store, or grocery deals at the neighborhood supermarket.
The idea, frankly, is brilliant for the pro-life movement. That todays tech could be turned to such a life affirming purpose indeed gives hope to those of us desperately grasping for good news in our beleaguered society. Sadly, but also predictably, the pro-abortion banshees have erupted in full-throated howl.
Everyone from elected officials to social media influencers demanded such an intrusive invasion of privacy be curtailed, if not by law, then by regulation. The pro-life effort, sponsored by Veritas Society, used standard technology that is non-proprietary, easily acquired without any need for licensing, and entirely legal, at least according to a federal judge who dismissed a case brought by federal regulators against an information broker who sold this sort of data.
When a targeted user clicked on one of the pro-life ads, they would be taken to a Veritas Society website that gave them two options: I want to undo the abortion pill or I am thinking about the abortion pill. Clicking on any option would redirect the user to pro-life resources and assistance. The site would track users who answered the original ad and target new ads to themas they browsed the web, precisely the way social media giants do.
Unable to assail the effort in any meaningful way, a spokesperson from Planned Parenthood derided the advertisements as disinformation, but failed to elaborate on the charge with any specifics.
Perhaps recognizing the potential for a technological fait accompli, the pro-abortion lobby has sought to shift the argument from the legally and ethically unobjectionable specifics of the Wisconsin case to a larger question of a right to privacy, tying the argument to the Dobbs decision, theSupreme Courts overturning or Roe v. Wade.
By reframing the debate, pro-abortionists hope to sidestep the unnerving truth: the pro-life side is gaining ground on the technological landscape, threatening to upend the lefts digital hegemony. If they can recast this battle as an extension of the Dobbs decision, they can rely on automatic, reflexive support from their base.
But heres where the left again finds itself wading through a thickening fog of cognitive dissonance. By emphasizing the right to privacy angle, their argument is reduced to claiming a sort of selective right to privacy that only applies to people seeking to kill their children in utero.
Some of the critics claim the abortion-related geo-data could be misused or publicized to make a legal case against abortion seekers and providers based on new state laws against abortion.They also hint such information might compromise the safety of those involved as they may become targets of nonexistent unhinged right-wing zealots.
However, some pro-abortion extremists Janes Revenge and Antifa, for example are suspected by law enforcement of utilizing the same technology to identify pro-life demonstrations for disruption, and even violence against anti-abortion organizations and individuals.
The political right in the United States has been perennially late to the technology party. Some of this is due to the politically left-leaning nature of Silicon Valley, but the conservative tendency to ask for permission before acting, rather than forgiveness after, has too often translated to our side operating on floppy discs and cassette tapes while our opponents cruise along with fiber optics and AI, blazing new trails in unethical manipulation of information.
Biased fact checkers, shadow-banning of conservative voices on social media, and purposeful shielding of one presidential candidate from the repercussions of his sons criminal behavior are all activities forbidden, but nonetheless happened.
As early as the 2008 election cycle, Democrats have exploited information technology to great advantage, capably offsetting Republican gains in electoral support with highly effective get-out-the-vote campaigns driven by tech.
If Republicans utilized available tech to the extent Democrats do, the amount of fraud and misdoing needed to counter our resurgence would be as obvious as a dinosaurs tracks through a field of peanut butter, as data scientist Jay Valentine would say.
Perhaps frightened by the disastrous outcome of their previous foray into electoral data mining the famous Cambridge Analytica affair Republicans are seemingly content with letting their opponents make the rules. Nothing done during that episode differed appreciably from the day-to-day operations of the Democratic Partys data mining efforts.
Only the Republicans reflexive hand-over-mouth gasping horror at having been accused of impropriety set them apart from their counterparts on the left, who were doing the same things, and much more, without a second thought.
The enterprising use of widely available technology by the Wisconsin pro-lifers is nothing to be ashamed of, but rather a thing to be celebrated and protected from the predatory election-swaying behavior of left-leaning government agencies.
The Federal Trade Commission, the agency that brought the now-dismissed suit mentioned earlier, is pursuing an entirely one-sided investigation into the use of cell phone data, the strategy of geofencing, and the utilization of psycho-graphical data profiles by conservatives.
Conservatives cant afford to play on a slanted field any longer. If we are to be denied the use of this tech, then we cannot permit a double standard to allow our opponents to exploit it.
After all, whats good for the goose must be good for the gander.
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Veracio and AusIMM Join Forces to Empower Industry Leaders with Advanced Data Technologies for Informed Decision Making – Financial Post
SALT LAKE CITY, June 06, 2023 (GLOBE NEWSWIRE) Furthering its commitment to redefine how miners find and process orebodies, Veracio announced a new partnership with The Australasian Institute of Mining and Metallurgy (AusIMM), the leader in professional development for the resources industry. The collaboration, formally announced at the AusIMMs inaugural Mineral Resource Estimation Conference in Perth on May 23, is slated to continue through 2024 and will focus on a comprehensive thought leadership campaign and a range of online and in-person learning initiatives.
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The primary objective of this partnership is to empower industry leaders by equipping them with advanced data technologies, enabling them to make critical decisions swiftly while minimizing their environmental impact. By providing valuable insights and knowledge, Veracio and AusIMM aim to support leaders in leveraging these technologies effectively. The agreement was finalized at the AusIMM Mineral Resource and Estimation Conference 2023 in Perth, Australia
AusIMM is one of the most trusted authorities in the resource industry, and were excited to work with their global member community to advance orebody knowledge, says JT Clark, CEO of Veracio. With our extensive experience in supporting mining and exploration companies and a decade of testing and development in sensing, automation, and AI technologies, were the ideal partner to help mining professionals improve their business and environmental outcomes. Together, we aim to redefine the industrys approach to orebody exploration and processing, promoting innovation and sustainable practices.
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This partnership will share thought leadership with our global community on the use of emerging technologies for orebody knowledge and resource definition, ensuring our sector is creating safe, sustainable value for our communities,says Stephen Durkin, CEO of AusIMM.
About VeracioVeracio, a wholly owned Boart Longyear subsidiary, offers mining clients a range of solutions that improve, automate, and digitally transform their orebody sciences. Championing a modern approach through a diverse product portfolio by fusing science and technology together with digital accessibility. Veracio leverages AI and advanced analytics to accelerate real-time decision-making and significantly lower the cost of mineral exploration.
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About AusIMMThe Australasian Institute of Mining and Metallurgy (AusIMM) is the peak body and trusted voice for people working in the resources sector. Representing a global community from 110 countries, the AusIMM is committed to supporting people working in all aspects of the mining industry; shaping careers, showcasing leadership, creating communities and upholding industry standards.
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BUSINESS DATA ANALYST DURBAN R25 000 pm at Affirmative … – IT-Online
Understanding the business data requirements, and through a structured process, modeling, validating and translating them into fully annotated Conceptual and Logical data models. Maintaining data models in an architecture repository and using these models to communicate the information requirements tosystems analysts, database administrators and developers. Understanding how new laws, regulations and developments will impact businesses in the education [URL Removed] for the successful delivery of Business Intelligence and Data AnalyticsCreation and Maintenance of BI ReportsProviding actionable insights that can be interpreted to ManagementDesigning, developing, and maintaining ongoing metrics, reports, data mining, analyses and dashboardsMaintaining appropriate documentation around Business Intelligence solutions and [URL Removed] process improvement opportunities to managementProviding support in maintaining and supporting databases performing several activities,including inputting, and cleaning data, determining formats, researching data conversions,establishing data specifications, configuration/integration, updating sources, and ensuring data [URL Removed] business users how to interact with the visualisations, interpreting the results, and developing reference [URL Removed] and execute training programs and communication plans to improve user adoption and effectiveness of new and existing [URL Removed] and simplifying of functional processes andeliminate [URL Removed] best practices and promote sharing of bestpractices/knowledge across the Data & Insights capabilityData & Insights programmes/projects to have business casesindicating the business benefits and value [URL Removed] Data & Insights portfolio of projectsMitigation plans for projects that fail to meet estimatedtimelineDemonstrates positive energy by listening carefully andhandling student/customer concerns or queries on the spot,remaining [URL Removed] immediately to a supervisor/manager when unable tomanage a student/customer concern/query.Demonstrates a sense of commitment that ensuresstudent/customer satisfaction so that every customer [URL Removed] and treat students/customers at all times in acourteous, friendly and efficient mannerAll employees are brand ambassadors hence ensure that in anydealings with students/customers /the public we are mindful ofour [URL Removed] must create the student experience in a positive mannerActively promote safety and well-being of self and fellowemployees and students/ customer in line with companypolicy and country legislation to prevent accidents [URL Removed] Security Procedures to be rigorously followed inorder to ensure and safeguard the security of people,premises, stock, equipment and monies at all [URL Removed] that the confidentiality and security of all the organisation including but not limited to exam papers, assignment papers, marking are secured at all [URL Removed] (Hons) Informatics (Preferred)BSc (Hons) Computer/Data Science(Preferred)BEng (Hons) Computer(Essential/Minimum)Minimum experience 3+ years in BusinessIntelligence/ Data Analytics/ Data Science/Modelling/ Statistics/ Big Data
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A balanced communication-avoiding support vector machine … – Nature.com
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