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Nearly half of the coal industry is still on an expansion course in ‘reckless mining rush – CNBC

The burning of fossil fuels such as coal, oil and gas is the chief driver of the climate crisis.

Vcg | Visual China Group | Getty Images

Nearly half of the coal industry intends to develop new projects to exploit the world's dirtiest fossil fuel, according to German campaign group Urgewald, with many companies refusing to retire assets even as extreme weather events become worse and more frequent across the globe.

An annual update from Urgewald and 40 partner NGOs published Thursday found that 490 of the 1,064 companies on its Global Coal Exit List were pursuing new coal power plants, coal mines or new coal transport infrastructure.

It means 46% of the companies surveyed are committed to expanding despite last year's U.N. climate summit in Glasgow ending with a global agreement to "accelerate efforts towards the phasedown of unabated coal."

The research, which represents the world's most comprehensive public database on the coal industry, said less than 3% of those surveyed had announced timely coal exit dates.

"Pursuing new coal projects in the midst of a climate emergency is reckless, irresponsible behavior," said Heffa Schuecking, director of Urgewald. "Investors, banks, and insurers should ban these coal developers from their portfolios immediately."

Coal is the most carbon-intensive fossil fuel in terms of emissions and therefore the most critical target for replacement in the transition to renewable energy sources.

To be sure, the burning of fossil fuels such as coal, oil and gas is the chief driver of the climate crisis.

In just the last few months, historic floods submerged one-third of Pakistan, Europe experienced its hottest summer in 500 years and China recorded the most severe heatwave in climatic history.

At the same time, some European governments have reluctantly turned to coal to help prevent a winter supply shortage amid a dramatic fall in Russian gas flows. Moscow has throttled gas supplies amid a bitter energy stand-off provoked by the Kremlin's war in Ukraine.

Speaking ahead of the COP27 climate summit in Sharm el-Sheikh next month, U.N. Secretary-General Antonio Guterres warned, "we are in a life-or-death struggle for our own safety today and our survival tomorrow."

"This is no time for pointing fingers or twiddling thumbs. It is time for a quantum level compromise between developed and emerging economies," he added.

The NGOs report said there are currently more than 6,500 coal plant units globally with a combined capacity of 2,067 gigawatts. It says that whether humanity is able to keep global heating from surpassing the critical temperature threshold of 1.5 degrees Celsius depends "first and foremost on how quickly we phase out this enormous coal plant fleet."

The 1.5 degrees Celsius goal is the aspirational global temperature limit set in the landmark 2015 Paris Agreement. It is recognized as a crucial global target because beyond this level, so-called tipping points become more likely.

The vast majority of companies on the GCEL still have no intention of retiring the coal assets, which are propelling us towards a breakdown of our climate systems.

Heffa Schuecking

Director of Urgewald

Under the IEA's roadmap to net zero by 2050, published in May last year, the world's richest countries must retire their coal power plants by the end of the decade at the latest and by 2040 for the rest of the world.

In stark contrast to high-income countries like Italy, France and the U.K., however, the U.S. has not yet set a national phase-out date for its coal power plants.

"While the warnings issued by IPCC and UNEP become more and more dire from one UN Climate Summit to the next, our data regarding companies' transition plans remains depressingly consistent," Schuecking said.

"The vast majority of companies on the GCEL still have no intention of retiring the coal assets, which are propelling us towards a breakdown of our climate systems. A real transition requires clear and near coal exit dates."

Today, there are more than 6,500 coal plant units globally with a combined capacity of 2,067 gigawatts.

Saeed Khan | Afp | Getty Images

Urgewald's Schuecking told CNBC that since the 2015 Paris accord was signed, the global coal plant fleet had seen a net increase of roughly 157 gigawatts. That's the equivalent of Germany, Russia, Japan and Poland's coal fleet added up together.

The research found that 467 gigawatts of new coal-fired capacity were still in the pipeline worldwide. And, if realized, these projects would increase the world's current coal power capacity by 23%.

"Stopping investing in or financing coal developers, that should be a no-brainer. I just don't see how anyone can be serious about the Paris goals or be an institution that takes climate seriously if you're still involved with coal developers," Schuecking said.

China was found to be responsible for 61% of all planned coal power capacity additions and, perhaps unsurprisingly, the top four coal plant developers were found to be Chinese companies: China Huaneng Group, China Energy Investment Corporation, China Datang Corporation and China Huadian Corporation.

The report found that with 570 million metric tons, China Energy Investment Corporation was the world's top thermal coal producer last year. This was closely followed by Coal India, which produced 557 million tons of thermal coal in 2021.

Lidy Nacpil, coordinator of the Asian People's Movement on Debt and Development, a regional alliance of community organizations and NGOs, said the world welcomed Chinese President Xi Jinping's announcement last year that Beijing would stop building new coal power plants abroad.

"But China needs to adopt similar measures for its domestic energy system if it wants to become an actor for a 1.5C world," Nacpil said.

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Nearly half of the coal industry is still on an expansion course in 'reckless mining rush - CNBC

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Improving healthcare outcomes using NLP – INDIAai

To meet the high demand for value-based health care and comply with quality measures, healthcare organizations are increasingly switching to AI-powered solutions to interpret complex, unstructured data and generate workable intelligence. This data could be in the form of text, visual, or speech. Harnessing AI power in healthcare can open the doors to extraordinary opportunities and reinforce healthcare organizations' collective investment in human resources, capital, and time. Natural Language Processing (NLP) immensely improves healthcare outcomes by transforming various aspects of the industry, including free-text, clinical documentation, clinical trials, decision-making processes, automated reporting, and data mining research, among others.

1. Improving patient information

One area in healthcare that NLP has tremendously transformed is electronic health records (EHR). Often, information about patients, such as their medical history, current state, or medical diagnosis reports, is stored in hardcopy, unstructured data that can easily be lost, misplaced, or destroyed, resulting in data loss. Besides, filling medical records manually is quite time-consuming and ultimately leads to tedious paperwork. EHR systems solve these challenges as physicians, and other healthcare workers can access data about patients from an electronic device. NLP has completely transformed the way information is captured with the use of voice assistants and text dubbing. Some of its benefits include time-saving, more categorized data, the ability to perform searches in the system, and vacating a couple of rooms hosting paper-based health records for other medical purposes. Patients can also access their health records electronically and track their condition from their gadgets effortlessly. Results can be sent via email, saving patients time and money. Moreover, governments and insurance companies have benefited from the integration of NLP solutions in healthcare since reports are generated automatically, and necessary information is issued upon request. NLP solutions in healthcare also benefit regulatory agencies and insurance companies by automating report generation and maintaining data integrity.

For instance, Mercy Healthcare Company, an HCO running forty hospitals in the United States with over 900 physicians and 45,000 co-workers, was one of the early adopters of NLP in their EHR systems in the chain of hospitals and clinics to provide unified patient care across the continuum. A study conducted by data pundits from Data Science, Kerry Bommarito and Nick White, revealed that Mercy had gained real-world insights from the accurate data generated and tremendous reduction of document time.

2. Enabling physicians to spend sufficient time with patients

One major challenge in health care delivery is the inability of doctors to commit adequate time to patients and provide unbroken attention when serving them. Indispensable administrative roles, which include ensuring that all critical documentation is completed, are one of the major challenges that interfere with their main role or result in burnout. The introduction of Natural Language Processing in Healthcare is gradually solving this problem. NLP solutions are replacing handwriting and typing techniques with voice notes. Also, NLP tools are being used to interpret speech and accurately update health records. These highly-efficient approaches enable doctors to make notes while examining patients avoiding replication of efforts, and ultimately committing more time and attention to patient care. Moreover, NLP is turning out as a helpful technique in assessing the accuracy of medical notes. For example, the Saudi Arabia-based Nahdi Medical operates a chain of health facilities in Saudi Arabia and is a leading adopter of NLP in the region. Physicians in this healthcare organization admit to having a patient-centric model of healthcare delivery, thanks to NLP technologies.

3. Extraction and interpretation of clinical notes

Health care delivery is not only based on the health profile of the patients but also includes the prescription of medications based on test outcomes to recommend further procedures. Physicians require accurate information to make correct decisions regarding patient treatment. NLP performs exemplarily in improving healthcare outcomes by accurately extracting information from diagnostic medical reports, doctor's letters, lab reports, etc., and interpreting clinical notes. NLP solutions are also adopted where EMR-based information stored in native text format becomes strenuous and time-consuming to extract with traditional techniques.

For instance, medical practitioners at the Toronto General Hospital, a Canadian-based Health organization use Autoscribe, an NLP-based solution developed by Mutuo Health Solutions to extract and interpret clinical notes. The system helps the institution with subtle nuances to improve patient and business care.

4. Enhancing patient awareness, engagement, and health literacy

Today, regulatory directives and industry policies recommend patient participation in health care. Healthcare organizations have patient portals where patients can access their medical reports, monitor their health, and concentrate on self-health superintendence. Unfortunately, these portals are characterized by numerous limitations regarding the education and knowledge of patients. Consequently, their participation is discouraged and the significance of the portals declines. The incorporation of NLP resources in healthcare to define complex terms in decipherable language has increased patient awareness and engagement. These solutions facilitate a better understanding of electronic health records and other IT resources/tools/platforms by patients, promoting greater involvement and making more informed decisions regarding their health. For instance, the American Association of Retired Persons (AARP) has benefited immensely from the adoption of NLP in enhancing the health literacy of people above the age of 50 for improved healthcare.

5. Delivering value-based health care

NLP tools are used to help patients switch from traditional treatment plans to value-based care. Physicians use NLP algorithms to examine patient care and identify potentially dangerous gaps in healthcare cycles. Also, NLP solutions are used to set up benchmarks for doctors and gauge free text. In addition to removing errors involved in the extraction of information, NLP tools are used to determine the quality of health care delivery. Doctors can use them to ascertain the quality of treatment offered to patients and compare it with established standards. This dramatically improves the outcome of care delivery in healthcare. for instance, HealthLinks, a Healthcare consulting firm based in Jeddah has strategically collaborated with Saudi's health ministry to deliver value-based care to millions of patients that visit their facilities annually.

6. Improving coordination of health care

Medical scientists are leveraging NLP algorithms and machine learning (ML) to improve health care coordination by examining huge volumes of unstructured medical data and drawing workable insights from them. Results from initial experiments have exhibited promising potential for enhanced coordinated health care, particularly from a behavioural perspective. Additionally, the integration of NLP in healthcare administrative roles has a great impact on the industry. For instance, NLP resources enable the staff to gather and autofill all vital information quickly and accurately. They help health administrators to identify errors in health documentation and make recommendations. This way, these significantly reduce operational costs and, at the same time, increase revenue for HCOs. For instance, Plasticity, a U.S.-based, developed an NLP solution that is designed to understand the deeper context of large volumes of unstructured data like patients' information, medical history, or treatment plant. Also, the system helps physicians spot errors in documentation processes and make suggestions, saving operational costs and time.

Conclusion

The evolving set of use cases signifies that incorporating Natural Language Processing in healthcare improves care delivery, patient safety, and experience. It enables medical practitioners to invest their time in delivering care while assisting them in making wise decisions based on factual, accurate data. NLP solutions also minimize the time spent undertaking administrative tasks by automating operations. Arguably, NLP is a transformative technology that is driving a better quality of health care.

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4 Jobs You Could Land After A Master’s In Business Analytics – BusinessBecause

If you have a passion for getting behind complex data to find hidden insights, then a career in analytics might be for you. Tech careers in business analytics are exciting, varied, and often well paid. But where do you start if you only have a basic grounding in the subject or youve studied an undergraduate degree in another discipline?

This is where Masters in Business Analytics can be a great optionthis specialized degree can help students get up to speed with the latest business developments in data analytics while teaching valuable management skills.

Here are 4 jobs you could land after a Masters degree in Business Analytics.

If youre looking for a data-driven career, then a data scientist job may be a good choice.

As a data scientist, youll be tasked with gathering data to extract findings that can be used to drive business decisions.

In the Master of Science (MSc) in Business Analytics and Technology Management program at Concordia Universitys John Molson School of Business, students can gain a solid grounding in the analysis skills needed for data scientist jobs through introductory courses such as Foundations in Data Mining.

This two-year research-based masters in Montreal, Canada, is aimed at recent undergrads and professionals seeking a career boost or change who want to become industry specialists.

The masters will help students become big-picture thinkers and have the confidence to trust themselves in what they do, says Bob Menard (pictured), career advisor at John Molsons Career Management Services (CMS).

CMS helps students prepare for the job market through workshops and one-to-one consultations in areas such as networking, resumes or cover letters, and interview preparation.

We also work with employers to bring opportunities to our students; whether that be job postings, attendance at career fairs or company-specific information sessions, and referrals, he says.

Masters in Business Analytics grads can expect to land an array of technology consulting jobs, applying their knowledge of tech systems to help companies find solutions to tech-based issues.

Students in the John Molson MSc in Business Analytics and Technology Management can learn how to develop and blend their analytical, decision-making, critical thinking, and communication skills through the experiential learning opportunities on offer.

John Molson facilitates internships with real companies, case competitions, and even offers students the chance to present their research findings to a panel of experts at the Annual Graduate Research Exposition. These hands-on learning opportunities provide a chance for students to sharpen their specialization and carry this expertise to careers in academia, industry, and beyond.

The program will make the students great storytellers, capable of making the data and numbers jump off the page, and become relevant and actionable for their employer, Bob says.

Top companies that hire technology consultants include Google, Bain, and Accenture.

Google has even just opened a new office in Montreal, which Bob believes will have many new employees working in analytics.

No matter where your area of interest lies within business analytics and technology management, theres likely to be an analyst role out there for you.

The John Molson Master's in Business Analytics prepares students to take up roles such as systems analyst, market research analyst, process analyst, or management analyst.

Courses, such as Multivariate Data Analysis, sharpen students technical skills while others, such as Foundations of Business Technology Management, improves their general management knowledge.

Employers want candidates who are not only specialists in their field, but they also want them to be able manage projects and others successfully. Through the MSc program, a student will be required to do both, Bob says.

Knowing how to understand data can lead to a career where you use data insights to organize and track the movement of goods or servicesthis is what a logistician does.

Depending on where you work, you could be involved with suppliers to ensure goods or services are delivered on time, or manage the movement of people such as military personnel.

The Masters in Business Analytics and Technology Management at John Molson offers courses in Data Management, teaching students how to use tools, such as Tableau, to visualize complex data sets.

There are also modules in AI and machine learning, helping Masters in Business Analytics students graduate from the program with a broad understanding of how innovative technology tools work in practice.

Towards the end of the MSc, students combine their findings in a research-based thesis on a topic of their choosing.

Masters in Business Analytics programs can provide a set of transferrable skills that can be deployed in a variety of data-driven roles.

If the masters focuses on both managerial capabilities in addition to the more technical aspects, students can graduate to become well-rounded data-driven industry experts ready to launch themselves into a competitive jobs market.

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4 Jobs You Could Land After A Master's In Business Analytics - BusinessBecause

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Why Nvidia, Shopify, and Palantir Stocks Slumped Wednesday Morning – The Motley Fool

What happened

In many ways, 2022 has been a year like no other, as investors and consumers alike have been looking for signs that the macroeconomic headwinds might eventually ease. October started off in rally mode, but a couple of new economic reports suggest relief is still a way off, sparking a wide-ranging sell-off on Wall Street.

With that as a backdrop, shares of Nvidia (NVDA -0.27%) tumbled as much as 4.1%, Shopify (SHOP) slumped as much as 4.5%, and Palantir Technologies (PLTR) slipped as much as 4.6%. As of 2:15 p.m. ET, the trio were still trading lower, down 0.7%, 1.8%, and 0.5%, respectively.

To be clear, there was nothing in the way of company-specific news driving these technology stocks lower today. It appears, therefore, that after two days of gains on Wall Street, investors were pouring over newly released economic data and what it suggests about the future.

The first of two reports came from payroll processor Automatic Data Processing, which revealed that businesses added 208,000 new jobs in September, more than the 200,000 economists were expecting. While rising employment is generally a good thing, the strong jobs number increases the likelihood that the Federal Reserve will continue to raise interest rates in a bid to combat inflation. Wall Street would have preferred it if hiring slowed somewhat, which would have suggested that the Fed's relentless rate hikes were working.

The ADP report is often seen as a precursor to the official Bureau of Labor Statistics nonfarm payrolls report, which is scheduled to be released on Friday. The data is expected to show an increase of 275,000 jobs in September, so a higher number might prompt even more rate hikes by the Fed.

The second report came courtesy of the Institute for Supply Management. The Services Purchasing Managers Index (PMI), which measures growth in the services sector, came in at 56.7% for September. While the rate of growth edged slightly lower than August, it was still higher than the reading of 56% anticipated by economists.

Steady growth in the services sector is yet another indicator that it will take additional rate hikes to slow the fast-growing economy in order to cool red-hot inflation.

There wasn't much in the way of company-specific news and given the overall market downdraft, it's unlikely that any of these developments would have moved the needle in terms of stock prices.

Nvidia announced earlier this week that it plans to cut ties with Russia, giving its workers the opportunity to continue their employment in other countries. "After previously suspending shipments to the country, we had continued to maintain our office to support our employees and their families. With recent developments, we can no longer operate effectively there," the company said in a statement. Nvidia already stopped selling semiconductors in Russia back in March. Historically, the country only represented about 2% of Nvidia's revenue, so this won't make a big dent in the company's overall financial results.

For its part, Palantir recently announced a partnership with Concordance Healthcare Solutions, one of the largest independent healthcare distributors in the U.S. The pair are working to create the "first, fully integrated medical supply chain ecosystem -- bringing together inventory and supply chain data from manufacturers, suppliers, distributors, and providers into one cohesive, real-time system." This collaboration is good news for Palantir investors, as the company has been working to decrease its reliance on government contracts and grow the corporate side of its software and data mining solutions business.

With the persistent macroeconomic headwinds weighing on investor sentiment, it's easy to see why investors might be a bit leery of putting money to work in such a market. Yet for those with available funds and a long-term investing time horizon, this is actually an ideal time to consider buying these stocks.

As a result of the ongoing bear market, shares of Nvidia, Palantir, and Shopify are currently trading 61%, 69%, and 82% off their respective highs. Furthermore, these industry leaders are currently selling at 10, seven, and five times next years' sales, respectively, each near their lowest valuations in several years. That's not to say these stocks couldn't fall further -- in fact, they probably will. Furthermore, they aren't cheap in terms of traditional valuation metrics, as a reasonable price-to-sales ratio is considered to be between 1 and 2. However, given their long-term opportunities and the ability to dominate their respective industries, this might be a great opportunity to buy shares of these best-of-breed companies at a discount.

Danny Vena has positions in Nvidia, Palantir Technologies Inc., and Shopify and has the following options: long January 2023 $1,140 calls on Shopify and long January 2023 $1,160 calls on Shopify. The Motley Fool has positions in and recommends Nvidia, Palantir Technologies Inc., and Shopify. The Motley Fool recommends the following options: long January 2023 $1,140 calls on Shopify and short January 2023 $1,160 calls on Shopify. The Motley Fool has a disclosure policy.

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The 28 Best Data Intelligence Software and Tools for 2022 – Solutions Review

Solutions Reviews listing of the best data intelligence software is an annual sneak peek of the top tools included in our Buyers Guide for Business Intelligence Platforms and companion Buyers Matrix Report. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.

The editors at Solutions Review have developed this resource to assist buyers in search of the best data intelligence software to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, weve profiled the best data intelligence software providers all in one place. Weve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.

Note: The best data intelligence software is listed in alphabetical order.

Platform: Altair One

Related products: Altair Monarch, Altair Knowledge Hub, Altair Knowledge Studio, Altair Panopticon

Description: Altair offers an open, scalable, unified, and extensible data analytics platform with integrated data transformation and predictive analytics tools. Desktop-based data preparation is available via Altair Monarch, while Knowledge Hub features team-driven data prep and a centralized data marketplace to speed collaboration and governance. Machine learning and predictive analytics are made available inside Knowledge Studio. Altair Panopticon houses the companys streaming processing and real-time visualization capabilities.

Platform: Alteryx Platform

Related products: Alteryx Designer, Alteryx Server, Alteryx Connect, Alteryx Promote

Description: Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.

Platform: Amazon QuickSight

Description: Amazon QuickSight is a serverless and embeddable business intelligence service for the cloud featuring built-in machine learning. The product lets you create and publish interactive BI dashboards that can be queried using natural language. It can automatically scale to thousands of users without any infrastructure. QuickSight also touts pay-per-session pricing so customers only pay when users access dashboards or reports. Dashboards can be accessed from any device.

Platform: AnswerRocket

Description: AnswerRocket offers a search-powered data analytics platform designed for business users. The product enables you to ask business questions in natural language, and no technical skills are needed to run reports or generate analysis. AnswerRocket features a combination of AI and machine learning, as well as advanced analytic functionality. The platform can also automate manual tasks and answer ad hoc questions quickly. AnswerRocket is mobile-friendly and includes native voice recognition.

Platform: BOARD

Related products: BOARD Cloud

Description: BOARD combines business intelligence, performance management, and predictive analytics into one platform. As a result, any change to data, data models, security profiles or business rules is immediately propagated to every application. The solution provides all the tools required to create and update databases, data presentations, analyses, and process models. The company also offers BOARD Cloud, a SaaS version of the platform, backed by Microsoft Azure.

Platform: Domo

Related products:Domo Everywhere, Domo integration Cloud

Description: Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision-making and action across the business. TheDomoplatform enhances existing data warehouse and BI tools, and allows users to build custom apps, automate data pipelines, and make data science accessiblefor anyone across the organizationthroughautomated insights that can be easily shared withinternalor external stakeholders.

Platform: Pentaho Platform

Related products:Lumada Data Services, Pentaho Data Integration

Description: Hitachis Pentaho analytics platform allows organizations to access and blend all types and sizes of data. The product offers a range of capabilities for big data integration and data preparation. The Pentaho platform is purpose-built for embedding into and integrating with applications, portals, and processes. Organizations can embed a range of analytics, including visualizations, reports, ad hoc analysis, and tailored dashboards. It also extends to third-party charts, graphs and visualizations via an open API for a wider selection of embeddable analytics.

Platform: Cognos Analytics

Related products:IBM Watson Analytics, IBM Watson Studio, IBM Hybrid Data Management

Description: IBM offers an expansive range of BI and analytic capabilities under two distinct product lines. The Cognos Analytics platform is an integrated self-service solution that allows users to access data to create dashboards and reports. IBM Watson Analytics offers a machine learning-enabled user experience that includes automated pattern detection, support for natural language query and generation, and embedded advanced analytics capabilities. IBMs BI software can be deployed both on-prem or as a hosted solution via the IBM Cloud.

Platform: Incorta Direct Data Platform

Description: Incorta is a data platform that speeds up data ingestion and provides hastened join performance. The vendor has dubbed its product as The Industrys First No-ETL Data Warehouse. Incorta features a Direct Data Mapping engine which provides real-time aggregation of complex business data without needing a data warehouse. Users can drill from top line, aggregated KPIs to supporting transaction records with one click. Incorta also enables you to drill anywhere with user-defined drill paths and hierarchies.

Platform: Networked BI

Description: Infor Birst is a cloud-based analytics solution that connects an organization using a network of interwoven virtualized BI instances. The providers flagship product is its Networked BI platform. The tool features an adaptive user experience, multi-tenant cloud architecture, user data tier, and a completely virtualized data ecosystem. These capabilities enable use of BI across multiple regions, product lines, departments, and customers. Customers most commonly use the product for BI provisioning, and because it is cloud-based, decentralized analytics as well.

Platform: Looker

Related products: Powered by Looker

Description: Looker offers a BI and data analytics platform that is built on LookML, the companys proprietary modeling language. The products application for web analytics touts filtering and drilling capabilities, enabling users to dig into row-level details at will. Embedded analytics in Powered by Looker utilizes modern databases and an agile modeling layer that allows users to define data and control access. Organizations can use Lookers full RESTful API or the schedule feature to deliver reports by email or webhook.

Platform: Power BI

Related products: Power BI Desktop, Power BI Report Server

Description: Microsoft is a major player in enterprise BI and analytics. The companys flagship platform, Power BI, is cloud-based and delivered on the Azure Cloud. On-prem capabilities also exist for individual users or when power users are authoring complex data mashups using in-house data sources. Power BI is unique because it enables users to do data preparation, data discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365, and has a very active user community that extends the tools capabilities.

Platform: MicroStrategy 2020

Description:MicroStrategy merges self-service data preparation and visual data discovery in an enterprise BI and analytics platform. MicroStrategy provides out-of-the-box gateways and native drivers that connect to any enterprise resource, including databases, mobile device management (MDM) systems, enterprise directories, cloud applications and physical access control systems. Its embedded analytics tool allows MicroStrategy to be embedded in other web pages and applications such as portals, CRM tools, chatbots and even voice assistants like Alexa.

Platform: Oracle Analytics Cloud

Related products: Oracle Data Visualization Desktop

Description: Oracle offers a broad range of BI and analytics tools that can be deployed on-prem or in the Oracle Cloud. The company provides traditional BI capabilities inside its Business Intelligence 12c solution. Oracle Data Visualization provides more advanced features, and allows users to automatically visualize data as drag-and-drop attributes, charts, and graphs. The tool also enables users to save snapshots of an analytical moment-in-time via story points.

Platform: The Analytics OS (Pyramid v2020)

Description: Pyramid Analytics offers data and analytics tool through its flagship platform, Pyramid v2020. The solution touts a server-based, multi-user analytics OS environment that provides self-service capabilities. Pyramid v2020 features a platform-agnostic architecture that allows users to manage data across any environment, regardless of technology. The tool enables those users to prepare, model, visualize, analyze, publish, and present data from web browsers and mobile devices.

Platform: Qlik Analytics Platform

Related products: QlikView, Qlik Sense

Description: Qlik offers a broad spectrum of BI and analytics tools, which is headlined by the companys flagship offering, Qlik Sense. The solution enables organizations to combine all their data sources into a single view. The Qlik Analytics Platform allows users to develop, extend and embed visual analytics in existing applications and portals. Embedded functionality is done within a common governance and security framework. Users can build and embed Qlik as simple mashups or integrate within applications, information services or IoT platforms.

Platform: Einstein Analytics Platform

Related products: Salesforce Einstein Discovery, Salesforce Einstein Data Insights

Description: The Salesforce Einstein Analytics platform is available in a number of flavors based on role, industry and included features. The products automated data discovery capabilities enable users to answer questions based on transparent and understandable AI models. Users can also tailor analytics to their use case and enhance insights with precise recommendations and specific guidance. Einstein lets you create advanced experiences using customizable templates, third-party apps, or custom-build dashboards as well.

Platform: SAP Analytics Cloud

Related products:SAP BusinessObjects BI, SAP Crystal Solutions

Description: SAP offers a broad range of BI and analytics tools in both enterprise and business-user driven editions. The companys flagship BI portfolio is delivered via on-prem (BusinessObjects Enterprise), and cloud (BusinessObjects Cloud) deployments atop the SAP HANA Cloud. SAP also offers a suite of traditional BI capabilities for dashboards and reporting. The vendors data discovery tools are housed in the BusinessObjects solution, while additional functionality, including self-service visualization, are available through the SAP Lumira tool set.

Platform: SAS Visual Analytics

Related products:SAS Viya, SAS Visual Data Mining and Machine Learning

Description: SAS Visual Analytics is available on-prem or in the cloud. Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analysis through autocharting. SAS has made its name as a result of advanced analytics, as the tool can ingest data from diverse data sources and handle complex models. In addition to BI, SAS offers data management, IoT, personal data protection, and Hadoop tools.

Platform: Sigma Platform

Description: Sigma Computing offers a no-code business intelligence and analytics solution designed for use with cloud data warehouses. The product features an intuitive, spreadsheet-like user interface that provides users with the familiarity of Excel. Guided data warehouse access ensures that data remains secure, compliant, and in context. When users take action in Sigma, it automatically translates them into SQL. All queries are run live against the cloud data warehouse, and the results are passed back to Sigma.

Platform: Sisense

Description: Sisense makes it easy for organizations to reveal business insight from complex data in any size or format. The product allows users to combine data and uncover insights in a single interface without scripting, coding or assistance from IT. Sisense is sold as a single-stack solution with a back end for preparing and modeling data. It also features expansive analytical capabilities, and a front-end for dashboarding and visualization. Sisense is most appropriate for organizations that want to analyze large amounts of data from multiple sources.

Platform: Tableau Desktop

Related products:Tableau Prep, Tableau Server, Tableau Online, Tableau Data Management

Description: Tableau offers an expansive visual BI and analytics platform, and is widely regarded as the major player in the marketplace. The companys analytic software portfolio is available through three main channels: Tableau Desktop, Tableau Server, and Tableau Online. Tableau connects to hundreds of data sources and is available on-prem or in the cloud. The vendor also offers embedded analytics capabilities, and users can visualize and share data with Tableau Public.

Platform: TARGIT Decision Suite (Decision Suite 2019)

Description: TARGIT offers a modern BI and analytics platform that includes built-in data integration capabilities. The solution runs securely on-prem, in the cloud or in a hosted environment. TARGIT Decision Suite supports all major relational and multidimensional database technologies. The providers 2019 platform refresh includes an entirely new design experience, fully integrated reporting, super intelligent documents, and new mobile apps. TARGIT has also upgraded to the tools installer to improve the entire upgrade and installation process.

Platform: Tellius

Description: Tellius offers an AI-driven decision intelligence platform that enables fast insights from data. The company helps customers hasten their time-to-insight through augmentation and automation. The Tellius Platform combines AI and machine learning with a search interface for ad hoc exploration so users can ask questions about their business data, analyze billions of records, and gain automated insights. The company recently launched Live Insights, which offers AI-guided insights from cloud data warehouses without moving data.

Platform: ThoughtSpot

Description: ThoughtSpot is heavily influenced by artificial intelligence and automation. While it may seem complex, ease of use is a strength of the product. It features a full-stack architecture and intuitive insight generation capabilities via the in-memory calculation engine. A distributed cluster manager provides customizable scaling options, and support for existing ETL solutions ensures proper connectivity to desired data sources. ThoughtSpot Embrace allows you to run search and AI analytics directly in existing databases, and supports Google Cloud Storage.

Platform: TIBCO Spotfire

Related products:TIBCO Jaspersoft, TIBCO Data Science

Description: TIBCOs product capabilities are expansive, and range from data integration and API management to visual analytics, reporting, and data science. The companys BI and analytics portfolio comes in two main iterations: TIBCO Spotfire and TIBCO Jaspersoft. TIBCO Spotfire is the companys more modern platform. It features interactive visualization, data preparation, enterprise-class governance, and advanced analytic capabilities. TIBCO Jaspersoft supports traditional reporting and embedded BI functionality.

Platform: Yellowfin Suite

Description: Yellowfin is an Australia-based BI and analytics company that specializes in dashboards and data visualization. Its platform features a machine learning algorithm called Assisted Insights that provides automatic answers in the form of easy-to-understand best practice visualizations and narratives. Yellowfin comes pre-built with a variety of dashboards, and users can embed interactive reports into third-party platforms, such as a web page, wiki, or company intranet. The company also offers native apps for mobile devices.

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The 28 Best Data Intelligence Software and Tools for 2022 - Solutions Review

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Sphere 3D Corp. Provides Bitcoin Production and Mining Updates for September 2022 – Yahoo Finance

The Company's production capacity is set to grow by 400% with the installation and activation of 2,946 miners released from U.S. Customs

Production for the month totaled 11.06 Bitcoin

Total Bitcoin holdings were 78.06

Operations achieved 122 BTC/EH efficiency

Toronto, Ontario--(Newsfile Corp. - October 6, 2022) - Sphere 3D Corp. (Nasdaq: ANY) ("Sphere 3D" or the "Company"), dedicated to becoming the leading carbon-neutral Bitcoin mining company operating at an industrial scale, provides results of its Bitcoin mining operation as of September 30, 2022.

CEO Comments

"Sphere 3D made great progress in September. As previously mentioned, we successfully secured the release of all our S19j Pros from U.S. Customs. Of the 4,026 additional miners now landed, 540 are installed and awaiting energization. We expect the remaining miners to be installed beginning in early October 2022 and will be energized at Compute North's site in Texas. No time frame has been provided by Compute North, but we anticipate an energization status update in the coming weeks."

Miner Deliveries and Petahash Capacity

Activating the 4,026 miners shipped over the past three months should increase the Company's production capacity by more than 400 percent compared to Sphere 3D's August production levels announced on September 8, 2022. Their installation and activation will bring the Company's production capacity to approximately 500 PH/s and grow Sphere 3D's mining fleet to more than 5,000 S19j miners.

Our discussions with FuFu Technologies to renegotiate our September 21, 2021, contract have been productive. We have agreed in principle on most commercial terms with Bitfufu and should have an update in the coming weeks on our final agreement.

Bitcoin Production and Holdings Update

In September 2022, Sphere 3D produced 11.06 Bitcoin or 0.3686 Bitcoin per day. Sphere 3D's mining fleet operated at 122 BTC/EH efficiency in September and averaged approximately 92 percent uptime. Daily production volume decreased compared to August 2022 due to an increase in difficulty of about 11.5 percent and one less day in the month, a 3.3 percent reduction all else equal compared to August, according to HC Wainwright's BTC Mining Weekly. The equivalent approximate value of the Company's production during September, based on a Bitcoin price of $19,415 on September 30, 2022, totaled $215,000.

Story continues

Since the Company began its mining operations during the first quarter of 2022, it has produced 91.87 Bitcoin and held 78.06 Bitcoin on September 30, 2022. Bitcoin held by the Company represents a fair market value of about $1.52 million based on the Bitcoin price of $19,415 on September 30, 2022. As of September 30, 2022, the Company was operating approximately 1,000 S19j Pros miners delivering a production capacity of approximately 100 PH/s.

The Company continues to employ a HODL strategy for the majority of its holdings. The difference between Bitcoin mined and Sphere 3D's holdings is the amount Sphere 3D used to fund working capital.

To view an enhanced version of this graphic, please visit:https://images.newsfilecorp.com/files/1705/139730_f6fff990343a598b_001full.jpg

Statement on Compute North's Chapter 11 Filing

Sphere 3D executives are in communication with Compute North regarding its Chapter 11 filing. Compute North has provided assurances that the filing will have no impact on Sphere 3D's mining fleet as they intend to continue operations as normal. Sphere 3D continues to monitor the situation.

CEO Closing Remarks

"We are working with our partners to expedite the installation and energization of our recovered miners and getting Sphere 3D's fleet of about 5,000 miners hashing. Once energized, our production should jump significantly. In addition, we expect to expand the fleet once the Bitfufu contract restructuring is complete. In the meantime, Bitcoin continues to show stability compared to other cryptocurrencies despite recently announced actions by the Federal Reserve and global market volatility.

"I have a positive outlook for the coming months with miners scheduled to be delivered, installed, and energized in the coming quarter. With many of our industry colleagues still beleaguered by U.S. Customs delays, we feel fortunate to have secured the release of our miners, with the caveat that due to the delay, we had to get "back in line" for installation and energization. I believe the fourth quarter will be transformative for Sphere 3D and we are well positioned for success." said Patricia Trompeter, CEO of Sphere 3D.

About Sphere 3D

Sphere 3D Corp. (Nasdaq: ANY) is a net carbon-neutral cryptocurrency miner with decades of proven enterprise data-services expertise. The Company is rapidly growing its industrial-scale mining operation through the capital-efficient procurement of next-generation mining equipment and partnering with best-in-class data center operators. Sphere 3D is dedicated to growing shareholder value while honoring its commitment to strict environmental, social, and governance standards. For more information about the Company, please visit Sphere3D.com.

Forward-Looking Statements

This communication contains forward-looking statements within the meaning of Section 27A of the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements generally relate to future events, including the timing of the proposed transaction and other information related to the proposed transaction. In some cases, you can identify forward-looking statements because they contain words such as "may," "will," "should," "expects," "plans," "anticipates," "could," "intends," "target," "projects," "contemplates," "believes," "estimates," "predicts," "potential" or "continue" or the negative of these words or other similar terms or expressions. Expectations and beliefs regarding matters discussed herein may not materialize, and actual results in future periods are subject to risks and uncertainties that could cause actual results to differ materially from those projected. The forward-looking statements contained in this communication are also subject to other risks and uncertainties, including those more fully described in filings with the SEC, including Sphere 3D's reports filed on Form 20-F and Form 6-K and in other filings made by Sphere 3D with the SEC from time to time and available at http://www.sec.gov. These forward-looking statements are based on current expectations, which are subject to change.

Sphere 3D Contacts

NMN AdvisorsSphere3d@nmnadvisors.com

Kurt Kalbfleisch, CFO, Sphere 3DInvestor.relations@sphere3d.com

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/139730

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Ultraviolet (UV) Packaging Printing Market to Receive Progressing CAGR of 9.5% by 2029 – Digital Journal

One of the most wannabe goals for any industry is to accomplish maximum return on investment (ROI) which can be achieved with the finest Ultraviolet (UV) Packaging Printing Market research report. The main research methodology utilized by DBMR research team is data triangulation which entails data mining, analysis of the impact of data variables on the market, and primary validation. Market insights of this report will direct for an actionable ideas, improved decision-making and better business strategies. The Ultraviolet (UV) Packaging Printing Market report is mainly delivered in the form of PDF and spreadsheets while PPT can also be provided depending upon clients request. To achieve an inevitable success in the business, this Ultraviolet (UV) Packaging Printing Market report plays a significant role.

Market Analysis and Insights of Global Ultraviolet (UV) Packaging Printing Market

Ultraviolet (UV) packaging printing market is expected to gain market growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyses the market to grow at a CAGR of 9.5% in the above-mentioned forecast period.

With the market info provided in the Ultraviolet (UV) Packaging Printing Market report, it has become easy to gain global perspective for the international business. Focus groups and in-depth interviews are included for qualitative analysis whereas customer survey and analysis of secondary data has been carried out under quantitative analysis. This business report is a definite study of the Ultraviolet (UV) Packaging Printing Market industry which explains what the market definition, classifications, applications, engagements, and global industry trends are. This market research report acts as a very significant constituent of business strategy. Ultraviolet (UV) Packaging Printing Market report proves to be a sure aspect to help grow your business.

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Packaging printing technology is used to enclose and protect products before they are distributed, stored, sold, or used. Though the primary purpose of packaging is to store products, packaging printing technology also serves as a means of product and brand promotion and aids in the development of strong consumer relationships. The UV printing is a unique method of digital printing that uses ultraviolet (UV) light to dry or cure ink, adhesives, or coatings almost as soon as they contact the paper, aluminium, foam board, or acrylic.

Market Scope and Global Ultraviolet (UV) Packaging Printing Market

Some of the major players operating in the ultraviolet (UV) packaging printing market report are Mondi, Sonoco Products Company, Graphic Packaging International, LLC, Quad/Graphics, Inc., Amcor plc, Constantia Flexibles, Quantum Packaging Store, WS Packaging Group, Inc., TOPPAN PRINTING CO., LTD., Duncanprint., Belmont Packaging Limited., Shree Arun Packaging Company Private Limited., ZAO SPb Model Typography, Coveris, and Quantum Packaging Store among others.

GlobalUltraviolet (UV) Packaging PrintingMarket Scope and Market Size

Ultraviolet (UV) packaging printing market is segmented on the basis of printing technology, material and application. The growth amongst these segments will help you analyze meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.

The ultraviolet (UV) packaging printing market is segmented in terms of market value, volume, market opportunities and niches into multiple applications. The application segment for ultraviolet (UV) packaging printing market includesfood and beveragesproducts, household and cosmetic products, pharmaceutical products and adhesives and sealants.

Want a Sneak Peek into the Market Access the TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-ultraviolet-uv-packaging-printing-market

Radical Coverage of the Ultraviolet (UV) Packaging Printing Market:

Key Questions Addressed in the Report:

Which segments are expected to show significant growth over the forecast period?

What is the forecast estimation of Ultraviolet (UV) Packaging Printing Market growth?

What are the factors that are likely to restrain the growth of the market?

What are the key driving factors of industry growth?

Which region is expected to dominate in the forecast period?

Which markets are significantly positive for developing businesses?

What is the expected growth rate of the industry throughout the forecast period?

Which market segments are expected to boost the growth of the industry?

Who are the dominating players of the Ultraviolet (UV) Packaging Printing Market?

What are the strategic business plans undertaken by the key players of the industry?

Access for Full [emailprotected] https://www.databridgemarketresearch.com/reports/global-ultraviolet-uv-packaging-printing-market

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An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

We ponder into the heterogeneous markets in accord with our clients needs and scoop out the best possible solutions and detailed information about the market trends. Data Bridge delves into the markets acrossAsia,North America,South America, andAfricato name few.

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Why Palantir Technologies Stock Popped on Thursday – The Motley Fool

What happened

Shares of Palantir Technologies (PLTR) popped higher on Thursday morning, defying the general market downturn. The stock jumped as much as 4.9% but was up about 1.4% as of 3:12 p.m. ET -- even as the three major indexes got crushed, as the S&P 500and the Nasdaq Composite plunged 2.6% and 3.5%, respectively.

The catalyst that sent the machine learning software and data mining specialist higher was news the company will continue its work with the U.S. Army on several fronts.

First, Palantir announced that its contract with the U.S. Army Research Laboratory has been extended. The company's work will "support all branches of the Armed Services, Joint Staff, and Special Forces as they test, utilize, and scale artificial intelligence and machine learning capabilities across the Department of Defense." The one-year contract extension is worth $229 million.

Furthermore, Palantir will join BigBear.ai (BBAI) in implementing the Global Force Information Management System, the Army's enterprise-wide intelligent automation platform that provide leadership with a "holistic view of its global force structure," helping the service "man, equip, train, ready, and resource the Army more effectively." The nine-month contract is valued at $14.8 million, but since BigBear is the primary contractor, Palantir's cut of the proceedings isn't immediately clear.

Palantir has a long history of partnering with U.S. government and military agencies to deploy software and data mining solutions, so these latest contract announcements aren't too much of a surprise. However, the key to Palantir's long-term success will be the expansion of its commercial business, which is currently being buffeted by macroeconomic headwinds.

The stock has never been cheap, and even after the stock's recession-induced 70% decline, Palantir Technologies valuation is still a bit frothy, selling at roughly 9 times this year's sales. Some would argue that its price-to-sales ratio is too high for a company that expects to grow its revenue by 24% this year. On the other hand, Palantir's outlook doesn't include any new government contracts, so given this new business, its forecast is likely conservative.

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

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Why Palantir Technologies Stock Popped on Thursday - The Motley Fool

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Three students from Iasi, Bucharest and Cluj-Napoca are the winners of the Quant Olympics 2022 competition on credit risk models – Business Review

Three students from Iasi, Bucharest and Cluj-Napoca are the winners of the first edition of Quant Olympics Romania, the competition on credit risk models organized by Deloitte Romania in partnership with Banca Transilvania.

The contest was open to first and second-year students of master programs across the entire country in the fields of data science, data mining, artificial intelligence, machine learning, statistics and econometrics, from academic institutions such as the Bucharest University of Economic Studies (ASE), University of Bucharest (UB), Babe-Bolyai University (UBB), Alexandru Ioan Cuza University of Iai (UAIC), West University of Timioara (UVT).

Alexandru Malainic, student in the Data Mining Master program at the Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iai, Mihai Condrat, student in the Data Science Master program at the Faculty of Mathematics and Computer Science at University of Bucharest, and Claudiu Veresezan, student in the Econometrics and Applied Statistics Master program at the Faculty of Economics and Business Administration from Babe-Bolyai University, were the first, the second and respectively the third-ranked contestants. The competition awards consisted of financial prizes and employment opportunities with Deloitte Romania and with Banca Transilvania.

Contestants were assigned tasks simulating real professional life, consisting of designing a credit risk model to estimate the probability of default of hypothetical banking clients, based on data provided by the organizers. The entries were assessed by a jury that included Deloitte Romania experts in financial risk Elena Grigore, Risk Advisory Director, and Andrija Djurovic, Risk Senior Specialist Lead and Banca Transilvania credit risk management professionals Annamaria Andreica-Suciu, Deputy Manager of the Financial Risk Management Department, Cristina Lehaci, Head of Credit Risk Modelling and Collective Provisions Parametrization, and Andrei Rusu, Credit Risk Analyst Expert Statistical Modelling.

Quant Olympics main goals were to help students prepare for actual professional life, to support them in making the first steps in their career, but also to raise awareness on the credit risk models challenges. We are passionate about what we do, we are constantly expanding and reinventing our roles, for instance through the use of technology, such as applying cutting-edge machine learning methods in risk management, and we hope to inspire future generations to choose this professional path. This project was initiated by our risk advisory team specialized in financial services and I take this opportunity to congratulate all students who engaged in this challenge and submitted their projects, the university professors who supported us in this endeavour, my colleagues who organized the event and to thank to our partner, Banca Transilvania, that strongly supported this project and made it possible for the students to face a real credit risk modelling challenge, said Dimitrios Goranitis, Banking and Capital Markets leader, Deloitte Central Europe, promoter and sponsor of the competition.

An effective process of building rating models that captures the variable level and the determinants of credit risk that may emerge over time is the foundation of modern banking. This is doubled by the validation of the models that assure us that only the best statistical models are deployed in the relationship with our clients. Thus, Banca Transilvania is in touch with the academic community to support them in tailoring the curricula and we wish to thank the professors for their continuous support and for mentoring the students engaged in this challenge. For students, the bank organizes varied internship programmes to boost young professionals opportunities in the digital era. We teamed up with Deloitte in such a project for offering students the possibility to gain practical experience in a challenging environment, to benefit from top players real life experience, said Luminita Runcan, Chief Risk Officer, Banca Transilvania.

The contest had two stages, and eight competitors qualified for the finals, which included, besides developing a credit risk model, presenting it to the jury, and answering their questions.

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Three students from Iasi, Bucharest and Cluj-Napoca are the winners of the Quant Olympics 2022 competition on credit risk models - Business Review

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Polyhydroxyalkanoates (PHA) Market is Expected to Witness Growth at a CAGR of 8.88% in the Forecast Period of 2022 to 2029 – Digital Journal

Polyhydroxyalkanoate (PHA) Market was valued at USD 67.51 million in 2021 and is expected to reach USD 133.33 million by 2029, registering a CAGR of 8.88% during the forecast period of 2022-2029. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team also includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and climate chain scenario.

Polyhydroxyalkanoates (PHA) are biodegrable polymers that are manufactured by the microbial fermentation of glucose or sugar. In other words, the polyhydroxyalkanoates (PHA) are produced by numerous microorganisms, including through the bacterial fermentation of lipids. Owing to their biodegradable properties, the polyhydroxyalkanoates (PHA) are used for a wide range of industrial applications. Polyhydroxyalkanoates (PHA) serve as a source of energy and a carbon store when produced using bacteria.

Get the PDF Sample Copy (Including FULL TOC, Graphs and Tables) of this report @: https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-polyhydroxyalkanoate-pha-market

COVID-19 Impact on Polyhydroxyalkanoates (PHA) Market

The recent outbreak of coronavirus had a neutral impact on the polyhydroxyalkanoates (PHA) market. The buyers were pushed to the retail channel due to the restaurant industrys shutdown during COVID-19. The majority of foods sold in retail outlets are packaged in plastic. As a result, the food, beverage, and pharmaceutical industries expanded their demand for plastics. There were numerous partnerships and agreements between PHA makers and the food packaging industries, indicating favorable market growth; but, due to a decline in oil prices in 2020, virgin plastic became cheaper than biodegradable polymers, posing a short-term market limitation. Given the aforementioned considerations, the polyhydroxyalkanoate (PHA) market is predicted to have a neutral effect in 2020, with positive growth expected during the forecasted timeline.

Recent Development

This Polyhydroxyalkanoate (PHA) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the Polyhydroxyalkanoate (PHA) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Some of the Major Players Operating in the Polyhydroxyalkanoate (PHA) Market Are:

BASF SE (Germany), NatureWorks LLC (U.S.), TT Global Chemical Public Company Limited (Thailand), Total Energies (Netherlands), Novamont S.p.a. (Italy), Fkur (Germany), DuPont (U.S.), Biome Bioplastics (U.K.), Mitsubishi Chemical Holding Corporation (Japan), Toray Industries Inc., (Japan), Dow (U.S.), Plantic (Australia), TianAn Biologic Materials Co., Ltd. (China), Danimer Scientific (U.S.), Evonik Industries AG (Germany), Eastman Chemical Company (U.S.) DAIKIN (Japan) and Solvay (Belgium)s.

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The Study Is Segmented By Following:

The polyhydroxyalkanoates (PHA) market is segmented on the basis of type, form, production method and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type

Short Chain Length

Medium Chain Length

Form

Co-polymerized PHA

Linear PHA

Production Method

Sugar Fermentation

Vegetable Oil Fermentation

Methane Fermentation

Application

Packaging and Food Services

Bio-Medical

Agriculture

Wastewater treatment

Cosmetics

3D Printing

Chemical Addicti

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Polyhydroxyalkanoates (PHA) Market Dynamics

Opportunities

Furthermore, the favorable regulatory environment that encourages the use of bio-based goods extends profitable opportunities to the market players in 2022 to 2029. Additionally, the growing focus on the technological advancements and modernization in theproductiontechniques will further expand the future growth of the polyhydroxyalkanoates (PHA) market.

Restraints/Challenges

The considerably higher cost of Polyhydroxyalkanoate (PHA) than other polymers is one of the major restrictions on industry expansion. Biodegradable plastics, such as PHA, have a cost of production that is 20 percent to 80 percent greater than conventional plastics. This is mostly due to the high polymerization cost of biodegradable polymers, as most methods are still in their early stages of development. As a result, they havent been able to attain economies of scale. These bio-based materials and technologies are still in the early stages of development and have not yet reached the same level of commercialization as their petrochemical counterparts.

The current technology is still in its infancy, and several raw materials are being evaluated for optimal PHA production. Similarly, research is being conducted to improve the performance of strains that reduce the demand for PHAs. Purification and processing expenses are considerable when PHA is recovered from biomass. Currently, production is unevenly divided, with the United States and China accounting for over 90% of total PHA production worldwide. As a result, it will require time to develop in order to compete in the primary market. This factor will challenge the polyhydroxyalkanoates (PHA) market growth rate.

Research Methodology: Global Polyhydroxyalkanoate (PHA) Market

Data collection and base year analysis are done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or can drop down your inquiry.

The key research methodology used by the DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Expert Analysis, Import/Export Analysis, Pricing Analysis, Production Consumption Analysis, Climate Chain Scenario, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Key Pointers Covered in the Polyhydroxyalkanoate (PHA) Market Industry Trends and Forecast

Market Size

Market New Sales Volumes

Market Replacement Sales Volumes

Market Installed Base

Market By Brands

Market Procedure Volumes

Market Product Price Analysis

Market Cost of Care Analysis

Market Shares in Different Regions

Recent Developments for Market Competitors

Market Upcoming Applications

Market Innovators Study

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Data Bridge Market ResearchPvtLtdis a multinational managementconsultingfirm with offices in India and Canada. As an innovative and neoteric market analysis and advisory company with unmatched durability level and advanced approaches. We are committed to uncover the best consumer prospects and to foster useful knowledge for your company to succeed in the market.

Data Bridge Market Research is a result of sheer wisdom and practice that was conceived and built-in Pune in the year 2015. The company came into existence from the healthcare department with far fewer employees intending to cover the whole market while providing the best class analysis. Later, the company widened its departments, as well as expands their reach by opening a new office in Gurugram location in the year 2018, where a team of highly qualified personnel joins hands for the growth of the company. Even in the tough times of COVID-19 where the Virus slowed down everything around the world, the dedicated Team of Data Bridge Market Research worked round the clock to provide quality and support to our client base, which also tells about the excellence in our sleeve.

Data Bridge Market Research has over 500 analysts working in different industries. We have catered more than 40% of the fortune 500 companies globally and have a network of more than 5000+ clientele around the globe. Our coverage of industries includes

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