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Palantir’s AI Expertise Is Driving Unprecedented Demand. That … – The Motley Fool

May 10, 2023 | Author: admin

This year could arguably be dubbed "the year of artificial intelligence (AI)." Since entering the spotlight in early 2023, the public and investors alike have become enamored with generative AI. This recent technological breakthrough in AI was years in the making and is the foundation of ChatGPT and other high-profile chatbots.

Yet, this is just the tip of the iceberg of what AI can accomplish. The process that enabled these advancements has been on the drawing board for years and one of the pioneers behind this technology is data mining specialist Palantir Technologies (PLTR 1.05%). The company has been developing AI tools for the U.S. government and its allies for more than two decades and its enterprise business is finally beginning to gathering steam.

Image source: Getty Images.

For the first quarter, Palantir reported results that caught investors off guard and they were pleasantly surprised. Revenue grew 18% year over year to $525 million, fueled by government revenue that grew 20%, while commercial revenue climbed 15%. The overall results far exceeded analysts' consensus estimates of $506 million.

Perhaps most surprising, however, was the rapid improvement on the bottom line. Palantir generated GAAP profits for the second consecutive quarter, and GAAP operating profitability for the first time in the company's history. The company delivered income from operations of $4 million, up 1,000 basis point year over year. The resulted in earnings per share (EPS) of $0.01. On an adjusted basis, EPS of $0.05 sailed past exceeded expectations of $0.04. The company also generated operating cash flow and free cash flow of $187 million and $189 million, respectively.

Perhaps most importantly for investors, CEO Alex Karp said, "We now anticipate that we will remain profitable each quarter through the end of the year."

In the company's letter to shareholders, Karp was even more bullish, particularly related to the accelerating adoption and strong demand for AI. "The arrival of the latest large language models (LLM), which have provided the world with the first real hints of more generalizable forms of artificial intelligence, will transform enterprise software," Karp posited.

He went on note that the technology that Palantir has been building for years provides the foundation to leverage the capability of these new AI models.

Palantir also introduced its Artificial Intelligence Platform, a set of proprietary tools for unleashing the power of the LLMs that underpin generative AI.

The customers' first-party data, combined with Palantir's AI and data analysis ecosystem and these foundational LLM's, will help businesses leverage AI while maintaining full control over their data.

While it's still too early to gauge the future success of these more recent efforts, the initial signs are encouraging. "The depth of engagement with and demand for our new Artificial Intelligence Platform is without precedent," he wrote.

For the upcoming second quarter, Palantir is guiding for revenue of roughly $530 million, up 12% year over year at the midpoint of its guidance. Furthermore, as a result of the current AI goldrush, Palantir has boosted its full-year outlook. Management is now expecting revenue of $2.21 billion, an increase of about 16% at the midpoint of its guidance, up from its previous forecast of 15% growth.

Palantir's guidance could well end up being conservative. During the quarter, the company's total contract value surged 60% year over year to $397 million while billings of $614 million climbed 25%. Since these metrics are both forward-looking indicators, the robust increases suggest Palantir's growth spurt could just be getting started.

While most experts agree that the market opportunity for AI will be vast, estimates vary wildly regarding the potential size of the market opportunity.

One of the more optimistic takes comes courtesy of Cathie Wood's Ark Investment Management and its Big Ideas 2023 report. According to the firm's calculations, AI could "increase the productivity of knowledge workers more than fourfold by 2030 ... if vendors were to capture just 10% of [the] value created by their products, AI software could generate $14 trillion in revenue and $90 trillion in enterprise value in 2030."

While no one can know for sure what the future will bring, the current secular tailwinds resulting from the boom in AI bodes well for Palantir. The stock remains a buy.

Danny Vena has positions in Palantir Technologies. The Motley Fool has positions in and recommends Palantir Technologies. The Motley Fool has a disclosure policy.

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Five opportunities to enhance your risk assessment – Wolters Kluwer

May 10, 2023 | Author: admin

4. Expand input from other risk-related functions

It is becoming more and more common for both internal audit teams and enterprise risk management to share risk information and knowledge. One of the key benefits of this practice is the ability to strengthen risk assessments by increasing input and involvement from other functions across the organization. The stronger the input into the risk assessment process, the stronger the coordination and alignment of risk assessments with other risk-and-control units.

Often, the areas that provide the most input into the internal audit risk assessment process typically fall into the categories of Enterprise Risk Management (ERM), Compliance, Technology, Finance, and Legal. Although this may be a challenge to fully embrace and enhance knowledge-sharing and coordination between risk and control functions, the benefits cannot be overstated. The results from this sharing environment often result in being better equipped to identify, evaluate, and implement new and evolving plans to mitigate and manage risk.

The techniques being employed to conduct risk assessments continue to evolve in terms of technologies deployed, sophistication, and expansion beyond the traditional dimensions of impactand probability. Technology is being used more fully to support the risk assessment process and as a medium to store risk-related data. The application of data mining and data analysis, as well as the use of risk dashboards and other visual techniques, continues to gain traction as internal auditors seek to increase the frequency and effectiveness of their risk assessment processes.

Consider including the following in your risk assessment process:

In addition to enhancing the risk assessment process, internal auditors should also be focused on enhancing their results reporting. Although many auditors continue to rely almost exclusively on Microsoft Word, Excel, or PowerPoint, many more are actively searching for or already utilizing new approaches to risk reporting, including heat maps, risk dashboards, and combined reporting with an ERM function. What's more, internal audit teams have incorporated data visualization tools, such as Microsoft Power BI, as key enablers to add visual impact to their risk-reporting efforts and to convey key messages in a more understandable and digestible manner.

It should come as no surprise,stakeholders respond to clarity. They value and appreciate when end-of-audit reports are concise. An internal audit team needs to provide risk assessments and audit planning processes that are thorough, professionally managed, and provide key stakeholders with the information required to better assess the risks the organization may be facing. There is much to be gained when an internal audit function and its key stakeholders share a collective understanding of the major risks facing an organization and the best ways to address them.

TeamMate+ is a global expert solution for end-to-end audit management that helps auditors and audit leaders execute and manage the audit workflow. No other tool has the depth or functionality that TeamMate+ has in terms of risk, planning, resource management, engagement management, analytics, issue tracking, and reporting.

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Calibre Mining First Quarter 2023 Earnings: EPS: US$0.036 (vs US$0.026 in 1Q 2022) – Simply Wall St

May 10, 2023 | Author: admin

Key Financial Results

All figures shown in the chart above are for the trailing 12 month (TTM) period

Looking ahead, revenue is forecast to grow 10% p.a. on average during the next 3 years, compared to a 12% growth forecast for the Metals and Mining industry in Canada.

Performance of the Canadian Metals and Mining industry.

The company's shares are up 1.2% from a week ago.

Be aware that Calibre Mining is showing 2 warning signs in our investment analysis and 1 of those is a bit concerning...

Find out whether Calibre Mining is potentially over or undervalued by checking out our comprehensive analysis, which includes fair value estimates, risks and warnings, dividends, insider transactions and financial health.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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Calibre Mining First Quarter 2023 Earnings: EPS: US$0.036 (vs US$0.026 in 1Q 2022) - Simply Wall St

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Looking to upskill in data analytics? Here are 7 tips for selecting the right course – Express Computer

May 10, 2023 | Author: admin

By Ravikaran Peesapati, Executive Director Employability Business Imarticus LearningThe economy today is primarily supported by data-driven insights to make major decisions. It would hardly be an exaggeration to say that data is the basis for a sustainable and profitable business ethos. Unsurprisingly, data scientists and analysts are in demand, and companies are willing to pay substantial amounts to onboard skilled professionals in this domain.

However, with the sophistication of technology, these professionals must continuously upskill and remain abreast with the latest developments to remain relevant. They must choose from a myriad of platforms offering upskilling courses to find the right fit in accordance with their job role and industry readiness. Additionally, those who want to make a career in analytics must decide if they want to opt for a full-time course or pursue a degree online along with their regular jobs. Here are seven tips that may help you make a better decision regarding course selection.

Determine your goalsThe first step for course selection is to have a comprehensive estimate of your needs and aspirations. You must ascertain if you want to upskill, reskill or opt for an entirely new career trajectory. These goals would determine the kind, of course, most suited for you.

Look for a course with a practical approachThe field of data science entails entangling real-world problems. Therefore, it is imperative that the course you choose should give due importance to practical skills acquisition and provide hands-on training using industry-standard tools and techniques. Students should opt for courses that offer them opportunities to work on data sets, practice data cleaning and preparation along with visualisation and statistical analysis. These will help the learners to solve real-world problems and make them industry as well as job ready.

Consider the course contentThe field of data analytics is evolving continuously, with new technologies coming to the forefront every now and then. The course curriculum is thus a central tenant of any upskilling program in the field. One must choose a platform that offers a syllabus designed by experts in accordance with industry standards. Learners must carefully study all aspects of the course material and ensure it is not a cheap copy of content already available online. The important topics a course should cover include data mining, data visualization, statistical analysis, and machine learning.

Additionally, you must take the time to familiarise yourself with the faculty members, their qualifications, and their professional achievements. This information will help you gauge the quality of the content and the pedagogy.

Check the course instructors credentialsThe hallmark of a good course is the credibility and repute commanded by its instructors. Further elaborating on the aforementioned point, it is of utmost importance to look into faculty members academic qualifications and industry experience before opting for a course. A good teacher will be able to deliver course content in an easily comprehensible manner and cater to the learning requirements of a wide range of learners.

Check for reviews and recommendationsA good way of determining course efficiency and quality is to read the reviews and recommendations of those already enrolled in such courses or those working successfully in the field. Such assessments will help you gain insight into the specificities of the course and evaluate its underwhelming and compelling aspects.

Consider the course duration and formatA noteworthy quality of a course in data analytics is that it can be customized to suit ones needs and time requirements. Since these programs can be of varying lengths and formats, learners can choose to attend an online self-paced course or a full-time university curriculum. The choice should be guided by considerations like the time available and the style of teaching preferred.

Look for additional resources and supportPossessing knowledge of the specificities of data analytics is essential. However, this knowledge is useless if one cannot market oneself adequately. Simply put, one should know of the opportunities in the field, be able to contact people of interest, and showcase their skills in a way that impresses the potential employer. Therefore, a good course should offer additional resources and support, such as online forums, mentorship, and career services.Moreover, in cognizance of the fact that building a career in this field requires excellent communication skills, the course should offer training in resume building and conducting oneself in an interview. It is also essential to check the hiring partners of the platform to ascertain the career-building opportunities accorded post-course completion.

Bottom lineThe hiring ecosystem has changed substantially over the years. Employers now prioritise skill possession in addition to the educational qualifications of the applicants. This is especially true for those who want to pursue a career in data science or analytics. Therefore, there is an upsurge in the number of ed-tech platforms offering various courses in this segment. However, students must be meticulous in choosing the course as this may determine their career trajectory. The platform of choice must offer a holistic curriculum that provides an engaging learning experience.

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How Business Intelligence Can Optimize Operations Within the … – Analytics Insight

May 10, 2023 | Author: admin

Business Intelligence (BI) utilizes cutting-edge technology to analyze data and manage business information. This can encompass data mining, visualization, tools and infrastructure. Ultimately, BI involves adopting best practices within organizations to make data-driven decisions across multiple business aspects. This can be particularly effective within the financial sector, where data analytics are vital and require efficiency and accuracy to inform strategic decision-making. Ergo, this article presents an overview of the benefits of BI to optimize operations within financial organizations.

The finance sector inherently requires discerning risk management across multiple aspects of business preventative decisions can be significantly improved by implementing BI by accurately analyzing financial data and market trends. For example, BI can be effectively utilized to accurately assess the risk of customer loans based on pertinently circumstantial factors, such as the potential assets of a borrower, their earning capacity, and any extraneous economic influences that could impact repayments. For those who may find themselves in a high-risk category, BI can additionally detail appropriate alternatives, such as small loans for poor credit that are more suitable to those with a history of unstable finances. Ultimately, BI can facilitate organizations to minimize potential losses and bolster more shrewd risk management decisions.

BI is increasingly being adopted by businesses within the financial sector to significantly improve incisive decision making. BI tools can rapidly collect and organize data from myriad sources and compile the result into insightful reports that can assist financial analysts to make data-driven decisions. BI software can comprehensively evaluate the market and credit risks for companies and how particular strategies can affect profits. The increased accuracy that data-driven software affords is pertinently useful for sectors such as banking, which must be transparent and circumspect due to stringent regulatory monitoring. Moreover, large amounts of data can be overwhelming for employees to deal with BI circumvents human error that could detrimentally affect exactitude with regard to figures, customers, financial indicators, banking data and market conditions.

Fraud is a critical issue that affects all facets of the finance sector. Financial businesses that successfully safeguard their clients can build trust and confidence with fact-based security information derived from the expanding datasets that BI provides. Moreover, to mitigate fraud, BI can accurately and efficiently identify fraudulent activity that might affect their business by analyzing transactional data and detecting exceptionally specific or minute anomalies. Ultimately, BI can assist organizations to prevent potential financial losses and take appropriate corrective action against fraud by ensuring that potential risks are promptly detected and resolved.

Businesses within the finance sector can mitigate costs by utilizing BI to identify areas where expenses can be optimized, such as inefficient processes, redundant tasks and superfluous spending. Moreover, BI can assemble a budget analysis by analyzing raw data within the company, such as reducing inventory and increasing efficiency. Another benefit of BI application within finance is its ability to optimize human resources (HR). BI can accurately analyze countless skillsets of employees and identify where reductions or increases in personnel are required. BI software assists HR managers to make discerning decisions about teams and staff members, which can reduce costs overall.

In the finance industry, efficiency is essential to provide streamlined services to clients. In the past, manual data collection and reporting was exceptionally time-consuming for financiers. BI tools can increase efficiency by automating routine tasks and processes, mitigating the requirement for human intervention and freeing employees to focus on more critical tasks, such as data analysis and decision-making. Moreover, BI can rapidly organize and extract critical information from vast amounts of unorganized data, underpinning more precise and incisive business decisions with accurate data statistics.

BI software can assist companies in the finance sector to more accurately understand customer behavior and preferences to provide tailored services and enhance customer experiences. This can enable businesses to optimize their services by understanding needs, ultimately increasing sales and encouraging loyalty and trust. Furthermore, BI can provide collated datasets that anticipate new markets and lucrative opportunities for expanding a customer base. Lastly, BI can underpin more cost-effective means of interaction with clients by automatically suggesting services to those who may not be utilizing them, such as potential client upgrades to digital services or smartphone apps.

In summary, BI is radically transforming the finance sector by improving decision-making, managing risks, detecting fraud, reducing costs, increasing efficiency, and enhancing customer experiences. By leveraging BI tools, the finance sector can gain a competitive advantage and improve its overall performance. Ultimately, BI can enhance the finance sector to become a more streamlined and efficient industry it is of great anticipation for many how this paradigm shift will develop.

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Canary Systems to host inaugural user conference Canary Con – Global Mining Review

May 10, 2023 | Author: admin

Canary Systems, Inc. has announced its inaugural user conference, Canary Con, which will take place in Tucson, Arizona from July 19th 21st at the Hacienda Del Sol Guest Ranch Resort.

Canary Con attendees will receive exclusive early access and individualised training on Canary Systems much-anticipated MLWeb3TM data acquisition and visualisation platform. The previous iteration of MLWeb3, known as MLSuite, is utilised by many global industry leaders in the mining and civil engineering markets for site monitoring and risk management.

The conference is intended for users and interested parties who would like to learn more about Canary Systems risk management solutions with a focus on MLWeb3. Canary Con will follow a workshop-style format offering separate paths for Beginner and Advanced user levels. Beginner courses will focus on the basics of MLSuites features and interface, while Advanced courses will provide current users with a deeper understanding by exploring more complex operations. Each session will combine presentation and interactive components allowing attendees to gain hands-on experience.

Workshop topics will include:

The beginner course will discuss the basic concepts of database imports and introduce various import types such as Files, Folders, Point Clouds, and Objects. The advanced workshop will cover specific import types including SQL Imports and Script Imports (Python).

Beginners will learn how to operate MLWebHardware, the web based data collection component of MLWeb3 and practice connecting an MLRemoteTM and MLBaseTM to MLWebHardware. Advanced users will learn how to connect other Canary Systems data acquisitions systems including MLSAA, MLDAQ, and MCLOG and explore more advanced features.

Beginners will learn the basic concepts and benefits of the MLWeb3 classing engine. In the advanced level, the newest class types will be discussed in depth including inclinometers, seismic, and TDRs, among others.

The beginner level will cover the basics of charting and working with Tabs, plus a high level overview of specialised chart types (Inclinometers, TDRs) in addition to configuring a Quick Chart. The advanced level will take a deeper look at the new charting tools, as well as features and functionalities of the plotting capabilities.

Beginners will be introduced to the integrated GIS engine to explore basic navigation and GUI basics (toolbar and tabs). Advanced participants will explore how to incorporate advanced features such as Filter Expressions, Layer Configuration & Transformations, and File Types & URLs.

Canary Con will also include several networking opportunities such as a happy hour event and panel discussion. Those interested in learning more can visit CanaryCon.com to find a full event schedule and registration.

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Natural Language Processing Market to be $262.4 Billion by 2030 – Exclusive Report by Meticulous Research – Yahoo Finance

May 10, 2023 | Author: admin

Meticulous Market Research Pvt. Ltd.

Natural Language Processing Market by Component, Organization Size, Application, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, and Healthcare & Life Sciences) - Global Forecast to 2030

Redding, California, May 10, 2023 (GLOBE NEWSWIRE) -- According to a new market research report titled, Natural Language Processing Market by Component, Organization Size, Application, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, and Healthcare & Life Sciences) - Global Forecast to 2030, the global natural language processing market is projected to reach $262.4 billion by 2030, at a CAGR of 34.4% from 2023 to 2030.

Natural language processing (NLP) is a form of artificial intelligence (AI) that allows computers to understand human language. NLP offers several benefits for companies across industries, such as enabling non-subject matter experts to find answers to their questions, analyzing data from both structured and unstructured sources, identifying the root causes of business problems, and discovering the most profitable customers and understanding the reasons behind it. Furthermore, it identifies and addresses fraudulent claims and behavior, identifies customer communication patterns and reduces customer complaints, and analyzes and evaluates your competitors product offerings.

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The growth of the natural language processing market is driven by the increased use of smart devices and the growing demand for NLP-based applications for customer support and NLP tools in call centers. Moreover, the rapid adoption of cloud-based technologies and increasing applications of NLP in the healthcare sector provide significant opportunities for the players operating in the global natural language processing market. However, the limitations in developing NLP technology restrain the growth of this market to some extent. Additionally, data privacy & security concerns pose challenges to the growth of the natural language processing market. Besides, virtual assistants & chatbots and the growing demand for speech analytics solutions are the key trends observed in the natural language processing market.

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The global natural language processing market is segmented by component {solutions [optical character recognition solutions, interactive voice response systems, autocoding systems, document analytics solutions, speech analytics solutions, simulation & modeling solutions, customer experience management solutions, digital assistants and chatbots, and other NLP solutions (root cause analysis solutions, spam detection solutions, and data mining solutions)], services (professional services, managed services), organization size (small & medium-sized enterprises, large enterprises), application [robotics & automation, smart cities, smart retail, smart healthcare, e-mail filtering, language translation, sentiment analytics, social media analytics, other NLP applications (market intelligence & targeted advertising, and data extraction], sector [IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, transportation & logistics, government & public sector, media & entertainment, manufacturing, education, food & beverages, and other sectors (oil & gas, and automotive)]}. The study also evaluates industry competitors and analyzes the market at regional and country levels.

Based on component, the global natural language processing market is segmented into solutions and services. In 2023, the solutions segment is expected to account for the largest share of the global natural language processing market. The large market share of this segment is attributed to the surge in demand for interactive voice response systems to interact with callers and gather information; rising demand for document analytics solutions for managing a document repository; surge in demand for speech analytics to improve contact center operations; the growing popularity of customer experience management solutions to streamline the customer journey, allowing customers to design, connect, deliver, and manage experiences across diverse channels; and increasing proliferation of digital assistants and chatbots to create conversational experiences for business applications. This segment is also projected to register the highest CAGR during the forecast period.

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Based on organization size, the global natural language processing market is segmented into large enterprises and small and medium-sized enterprises (SMEs). In 2023, the large enterprises segment is expected to account for the larger share of the global natural language processing market. The large market share of this segment is attributed to the growing adoption of NLP solutions by large enterprises to analyze, interpret, and classify a company's raw, unstructured big data collected from different sources like customer reviews, social media listening, and employee forums, and increasing demand for social media analytics and web monitoring solutions in retail & e-commerce sector which allows knowing the customers' insights concerning particular products or services.

However, the small & medium-sized enterprises segment is expected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing demand for improved operational efficiency in small customer service environments, the surge in demand for automating interactions to reduce the burden on human call center operators, and the growing proliferation of call recording and speech analytics technology in small organizations.

Based on sector, the global natural language processing market is segmented into IT & telecommunications, BFSI, retail & e-commerce, healthcare & life sciences, transportation & logistics, government & public sector, media & entertainment, manufacturing, education, food & beverages, and other sectors. In 2023, the IT & telecommunications segment is expected to account for the largest share of the global natural language processing market. The large market share of this segment is attributed to the increasing use of NLP tools by telecom companies to solve typical customer problems in an efficient manner and wherever possible without human intervention, the increasing proliferation of digital assistants and chatbots by IT industries, and the need for NLP solutions by telecom companies for categorizing support requests.

However, the healthcare & life sciences segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing need to handle the surge in clinical data, the use of NLP services to identify patients who need improved care, and the growing demand for advanced patient health record systems, managed care, PHM applications, and analytics and reporting.

Based on geography, the global natural language processing market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2023, North America is expected to account for the largest share of the global natural language processing market. The large share of this market is attributed to the increasing focus on NLP services & solutions developments in North America, the presence of well-established NLP providers such as Microsoft Corporation (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), Qualcomm Incorporated (U.S.) across the region, the presence of natural language processing startups in the U.S. and Canada, and the use of patient health record systems.

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Furthermore, leading NLP players across the region are putting in efforts to launch AI applications that support NLP capabilities. For instance, in October 2022, International Business Machine Corporation (U.S.) expanded its embeddable AI software portfolio by releasing three new libraries designed to help IBM Ecosystem partners, clients and developers more easily, quickly and cost-effectively build their AI-powered solutions and bring them to market. The AI libraries were developed in IBM Research and designed to provide Independent Software Vendors (ISVs) across industries an easily scalable way to build natural language processing, speech-to-text, and text-to-speech capabilities into applications across any hybrid, multi-cloud environment. Such developments are expected to support the growth of this market.

However, Asia-Pacific is projected to register the highest CAGR during the forecast period. The growth of this market is driven by the increasing smartphone usage across the region, government initiatives for implementing NLP solutions & services in countries such as China, Japan, and India, an increase in the use of smart devices and cloud-based solutions and NLP-based applications to enhance customer service, and technological innovations in the regions healthcare sector.

The key players operating in the global natural language processing market are Google LLC (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (a subsidiary of Amazon.com, Inc.) (U.S.), Oracle Corporation (U.S.), International Business Machine Corporation (U.S.), NVIDIA Corporation (U.S.), QUALCOMM Incorporated (U.S.), Baidu, Inc. (China), Verint Systems Inc. (U.S.), SAP SE (Germany), INTEL CORPORATION (U.S.), Adobe Inc. (U.S.), Genpact Limited (U.S.), SAS Institute Inc. (U.S.), and NetBase Solutions, Inc. (U.S.)

To gain more insights into the market with a detailed table of content and figures, click here: https://www.meticulousresearch.com/product/natural-language-processing-market-5505

Scope of the Report

Natural Language Processing Market, by Component

Solutions

Optical Character Recognition Solutions

Interactive Voice Response Systems

Autocoding Systems

Document Analytics Solutions

Speech Analytics Solutions

Simulation & Modeling Solutions

Customer Experience Management Solutions

Digital Assistants and Chatbots

Other NLP Solutions (Root Cause Analysis Solutions, Spam Detection Solutions, and Data Mining Solutions)

Services

Professional Services

Managed Services

Natural Language Processing Market, by Organization Size

Natural Language Processing Market, by Application

Natural Language Processing Market, by Sector

IT & Telecommunications

BFSI

Retail & E-commerce

Healthcare & Life Sciences

Transportation & Logistics

Government & Public Sector

Media & Entertainment

Manufacturing

Education

Food & Beverages

Other Sectors (Oil & Gas and Automotive)

Natural Language Processing Market, by Geography

North America

Asia-Pacific

China

Japan

India

South Korea

Rest of Asia-Pacific

Europe

Germany

U.K.

France

Italy

Spain

Rest of Europe

Latin America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

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About Meticulous Research

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:Mr.Khushal BombeMeticulous Market Research Inc.1267WillisSt,Ste200 Redding,California,96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email-sales@meticulousresearch.comVisit Our Website:https://www.meticulousresearch.com/Connect with us on LinkedIn-https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/737/natural-language-processing-market-2030

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A bigger vision for better use of the Earth’s resources – Canadian Mining Journal

May 10, 2023 | Author: admin

The mining sector requires constant innovation if it is to optimize production, lower costs, and, most importantly, improve safety for workers. Artificial intelligence (AI) and machine learning (ML) technologies can make a big difference and help businesses adapt even in the face of unpredictable events.

Recently, Boart Longyear (the worlds leading provider of drilling services, drilling equipment, and performance tooling for mining and drilling companies) announced that its Geological Data Services division will operate as a separate entity called Veracio. The new entity is set to combine science and digital technologies in a single, integrated platform and help mining companies get more value from their orebody data faster, while mitigating the environmental impact of their decisions.

Veracios technologies and platform, the result of a decade of testing and development in sensing, automation, and AI technologies, empowers miners to dig deeper into data, accelerating exploration and making better decisions that result in economically efficient operations and reduced waste. Powered by Boart Longyears award-winning Geological Data Services integrated technology platform, Veracio will support the growing global need for critical minerals by championing an approach to orebody science based on speed and sustainability.

Veracios (originally Boart Longyears) innovative in-field drill sample scanning system, TruScan, has been named mining innovation of the year at the prestigious Mines and Money conference in London, held in December 2022. This recognition highlights Veracios commitment to providing cutting-edge technologies that drive productivity and efficiency in the mining industry.

Afew weeks ago, I caught up with Veracios newly appointed CEO, JT Clark (JTC) and chief innovation officer, Mike Ravella (MR), to discuss Veracios recent graduation from Boart Longyear, as Clark likes to call it.

Veracio, 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 driving efficiency in mineral exploration and mining which is moving mineral resources forward.

CMJ:To start the conversation, my first question to both of you is how did you end up in your positions as CEO and CIO of the new company?

JTC:For most of my career, I worked at BCG, a prominent consulting firm and in my most recent position, I served as the global leader of BCGs mining practice. Six years ago, I shifted my focus to applying AI and advanced technologies to optimize mining operations, creating BCG Phosa, a real-time optimization tool for mineral processing covering the entire value chain. Although it has delivered significant improvements in production, we discovered that the accuracy and granularity of orebody knowledge were limiting factors. AI requires detailed and high-quality information to identify smaller differences and make finer adjustments and mining companies were not capturing sufficient detail about the orebody to support AI.

In my consulting work with Boart Longyear, I learned about the range of technologies under the Geological Data Services division and their ability to provide accurate and detailed orebody knowledge. I was amazed by their solution which had previously hindered my AI deployment work. With their technology, I also saw the potential to improve the production and recovery of critical minerals throughout the life of the mine. This is how I ended up at Veracio, this was a natural move for me, and I believe the products and services we offer are critical in driving accurate and detailed orebody knowledge for mining optimization.

MR:I am a hydrogeologist by trade, and in my background in contaminant hydrogeology, we used real time digital sensing for dynamic environmental site investigations to provide information about contaminant source areas and plumes. I worked in environmental and then mining related drilling for Boart Longyear. When I entered the mining field, I found orebody knowledge definition archaic in the mining space. After running several drilling businesses for Boart Longyear in the U.S. and then Australia, I started Geological Data Services from an idea for Boart Longyear in 2015 when we started to look at digital sensing and AI and applying it to mineral exploration and mining, and that is how Veracio started.

I consider Veracio a graduation from Boart Longyear. The AI/ML-based technologies under the Geological Data Services division have matured and deserve recognition and attention of their own.JT Clark, CEO of Veracio

CMJ:So, what do you like most about your job?

MR:Working with a group of people and clients who truly believe and are 100% focused on changing mineral exploration and mining through digital sensing and AI and knowing that the work we are doing is providing critical mineral solutions for humanity.

CMJ:Can you please talk to us briefly about Boart Longyears decision to operate its Geological Data Services division as a stand-alone entity called Veracio, what was the reason for the decision?

JTC:Boart Longyear is an ideal birthplace for the development of innovative technologies and capabilities for the mining industry. Developing such technologies requires a conducive environment, and Boart Longyears 127 years of experience in the most challenging operating conditions provide just that. I consider Veracio a graduation from Boart Longyear. The AI/ML-based technologies under the Geological Data Services division have matured and deserve recognition and attention of their own. Furthermore, technology development is a distinct business from drilling services, and it is essential to establish new processes for funding and operation to support Veracios technology objectives while working closely with the engineering and operating expertise at Boart Longyear. We are providing these technologies with an appropriate platform to grow and serve the industry.

MR:Boart Longyear is focused on providing safe productive drilling to the mining industry. At the end of the day, the product of Boart Longyears services and products is quality drill samples. Mining companies require these drill samples to understand the earth. A natural progression for Boart Longyear is Veracio, where we are focused on unifying orebody knowledge and giving mining companies information about the earth at high density in real time.

CMJ:Most people tend to not associate the mining industry with such things as advanced systems technology; however, in your opinion, how can artificial intelligence transform the mining industry?

JTC:This is a common misconception, as the mining industry has been investing in building advanced analytics and AI capabilities for some time now. However, compared to tech companies, the mining industry falls behind in terms of AI development. The reason is that mining poses unique and complex challenges that simplistic solutions of the first generation of AI were not capable of solving. AI had to continue to evolve and mature to effectively support the mining industry.

AI has already started to transform the mining industry and will continue to play a central role in its future. Primarily, this is because the world demands more critical minerals that the mining industry must supply, while at the same time mining companies must operate with a smaller carbon and environmental footprint. With declining head grades and increasing geological difficulty, new discoveries are geographically remote, more challenging to access, and often in challenging geopolitical environments. The traditional mining and exploration toolkits are ill-equipped to satisfy these demands. The mining industry significantly benefits from AI, as it equips them with the necessary tools to improve performance, automate processes in challenging environments without risking human lives, and achieve a higher level of accuracy and precision.

For example, mines that have been operating for decades have historically sent ore to waste that would now be considered economic ore. However, upcoming mining projects involve mines that might only have a 10- to 20-year mine life, are deep underground, and are hard to access. To overcome these challenges, the mining industry needs a more advanced toolkit that allows for more accurate, precise, and deliberate resource recovery. There is no margin for error, as valuable resources cannot be wasted and left in a pile for future generations to recover. They must be extracted today.

MR:I agree, and I see it growing more and more each year. It is clear that the future of mining will be very different from the past. Feedback and actions from early adopters and mining companies clearly define this.

CMJ:Can you please explain the role of AI and ML in improving mine safety?

JTC:Improving the understanding of the orebody and automating tasks using AI are two primary ways to operate more safely in the mining industry. By better understanding the structural geology of the orebody using AI, we can reduce the risk of bench failure and improve the quality of mine planning.

Additionally, by automating tasks that previously required human intervention using AI and other technologies, we can remove the person from dangerous environments and eliminate risk. For example, automating rod handling on drilling rigs which is one of the most injury-prone activities. By using AI to capture in situ geological information, we can reduce the number of times we have to handle rods, ultimately taking humans out of harmful activity.

Our goal is to reinvent workflows and activities that have been in use for decades and create safer and less vulnerable options.

MR:Digital sensing allows the mining clients to be bionic. They can work remotely and reduce exposure. The future mine site geologist will be far more accurate, consistent, and efficient. They will also be able to be on site less through digital sensing, software, AI, and ML.

CMJ:How can ML and AI maintain the operation and performance of mining machines using predictive maintenance?

MR:At Veracio, we utilize ML and AI to drive orebody discovery, definition extraction, and processing. Knowing what is in the ground and the parameters required to extract and process early and at high definition allows the mining company to make rapid decisions creating enormous value.

CMJ:Finally, how can Veracio help its mining customers meet the unprecedented minerals demand that is fuelling the transition to a more sustainable economy?

JTC:Veracios primary mission is to enable (i) a bigger vision, facilitating the transition to electrification and a more environmentally friendly world; (ii) smarter data, providing the right information at the right time for informed decision-making; and (iii) a smaller environmental footprint, achieved by improving mine design accuracy, reducing the impact on the environment, improving biodiversity, and lowering carbon footprint.

As the demand for critical resources in the world increases, it is becoming harder to discover new deposits. To make new discoveries economically viable, increased precision is required, and the margin of error must be reduced. At Veracio, we do not just provide data but also analytical tools to support the next generation of accuracy, making decision-making more efficient and accurate, and enabling more efficient execution of mining agendas.

Originally posted here:

A bigger vision for better use of the Earth's resources - Canadian Mining Journal

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New law prevents CCP from buying agricultural land in Florida – Hernando Sun

May 10, 2023 | Author: admin

Over the past year, the stage at Stage West Playhouse has been transformed into everything from a pirate ship (Peter and the Starcatcher), a mansion in the Bavarian Alps (Sound of Music), to an assisted living facility (Four Old Broads) and a London townhouse (Mary Poppins, Jr.). Now the stage has become a drag nightclub in St. Tropez for the musical comedy La Cage Aux Folles.

The play is a raucous comedy about two men Georges and Albin, owners of a nightclub featuring performers in drag. Georges manages the club, and Albin is the star of the shows, performing under the stage name of Zaza.

The two have been raising Georges son, Jean-Michel since he was a baby after his birth mother abandoned him. The plot thickens when Jean-Michel comes home and announces that he is bringing his fiance, Anne, and her parents home to meet his father and mother. Annes parents are straight-laced and bigoted. Jean-Michel knows that they would never approve of the marriage if they knew about Georges and Albins relationship. George agrees to act normal for his sons sake, and Jean-Michel talks Albin into disappearing for a few days. As in the case of any good comedy/farce, things do not go as planned, and the results are hilarious.

The costumes in the show are amazing, with Ryan Bintz playing Albin (Zaza) going through at least ten costume changes from elaborate evening gowns to a tailored business dress. Bintzs acting is spot on. He captures the essence of both Albin and his alter-ego, Zaza, and plays the part with humor as well as pathos.

The sets are well-crafted, invoking the settings of a nightclub dressing room, a sidewalk caf, and the interior of an apartment. Unlike many community musical productions that utilize recorded music, the show features musicians playing piano, percussion instruments, and saxophone. This live music enhances the enjoyment of the songs, which range from the humorous A Little More Mascara and the romantic With Anne on my Arm to the touching numbers I Am What I Am and The Best of Times.

The actors are excellent in their roles and believable in their portrayals of the characters. The cast displays genuine enjoyment in performing their parts, whether large or small.

Brady Lay, as Georges, realistically evokes a wide range of emotions and does it in a way that isnt melodramatic. Lay has been acting since he was ten years old.

I love acting because it lets me not be me and takes me away from the real world just for a little while, remarks Lay.

Georges is a more complex character. His heart is overwhelmingly accepting and loving. Being able to get that across to the audience and in a humorous manner has been a fun challenge, he adds.

Anthony Agnelli portrays Jean-Michel. His character is torn between the fear he has of losing Anne because of her parents disapproval and the love he has for Georges and Albin, who raised him and gave him everything he needed. In the end, he grows as a person.

Jean-Michel has a journey of redemption to go on as he learns to reconcile with both different families and appreciate the life that he has, explains Agnelli.

For Agnelli, acting has many rewards.I love the fact as an actor, youre constantly learning new things as you get to be in other peoples shoes. You get to create funny, dramatic, and impactful moments and connect with a live audience, he remarks.

Annette Hager, who plays Anne, has been acting since she was twelve. Some of her favorite roles were Ms. Brill in Mary Poppins, Jr. and Rosie in Mamma Mia.

I find both the friendships I build and the character I find throughout this production the most rewarding thing an actor can achieve, Ms. Hager explains.

Beccy Porter portrays Marie Dindon, Annes mother. She remarks that she has been hooked on acting ever since she was five years old, more than thirty-five years ago. She enjoyed playing Mother Superior in Nunsense because it allowed me to exercise my slapstick muscles.

On the other hand, Marie Dindon is her opposite in every way.This [role] gave me a chance to walk in her shoes and grow some empathy for the Maries out there. Its always challenging to find the core of a character and figure out what they would or wouldnt do in a given situation, Ms. Porter states.

Dalton Benson, a veteran of more than eighty Stage West productions, plays the part of Annes father, Edouard Dindon. What he liked best about the role is that I play against type. I am a gentle, quiet person, and I had to dig deep to find the level of arrogance and pomposity that would make this character unlikeable.

The most rewarding thing [about acting] is the passion and intensity it takes to create a character who is different with each production, Benson remarks.

Although it takes a whole crew of people to produce a play, the ultimate responsibility for the performance lies in the hands of the director. Lynda Dilts-Benson puts to use her many years of experience as a director to bring the show to fruition.

A director is a problem-solver, and some shows, such as this one, come with a bunch of issues. Musicals are harder because they have so many moving parts dance, music, sets, costumes, states Ms. Dilts-Benson.

On the other hand, she finds directing to be very rewarding.I am an artist at heart, and when you see your vision on the stage, there is no feeling like it. You become a family with your cast and crew. You come through some tough stuff together while you are creating theatrical magic.

There will be three more performances of La Cage Aux Folles Friday, January 27, at 7:30 pm and Saturday and Sunday, January 28 and 29, at 2:00 pm. Stage West Playhouse is located at 8390 Forest Oaks Blvd, Spring Hill. Tickets can be ordered online at http://www.stagewestflorida.com or by calling the box office at 352-683-5113, Tuesdays Saturdays 10 am 2 pm.

Photos from La Cage Aux Folles

More here:

New law prevents CCP from buying agricultural land in Florida - Hernando Sun

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Colombia doubles down on shift away from oil and mining – Financial Times

May 10, 2023 | Author: admin

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Colombia doubles down on shift away from oil and mining - Financial Times

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