Category Archives: Data Mining
Doing business in the time of the pandemic – Egypt – Al-Ahram Weekly – Ahram Online
Since the World Health Organisation (WHO) declared the Covid-19 pandemic a global pandemic in March 2020, businesses have been struggling to cope with the crisis and the disruption it has brought to different sectors of the market.
Although everyone is waiting for the pandemic to end, businesses have been trying to find solutions to a variety of problems in the interim, including maintaining communication with employees and customers, dealing with tumbling sales and unstable supply chains, and adapting to what is believed to be a new normal where many things are likely to remain unchanged after the pandemic is over, including ways of doing business.
There are businesses that have disappeared completely, and there are ones that have started to focus more on online platforms and data-mining to keep up with the new realties, said Bassam Al-Shanawany, secretary-general of the Egyptian Junior Businessmens Association (EJBA).
We now have different ways to reach clients in more places, thanks to technological advances. Physical access is no longer the basis of communication and doing business, he added.
Businesses that have many branches have started to cut their number and use online solutions instead, he said, adding that online payments had started to gain popularity in order to achieve financial inclusion.
Al-Shanawany added that working from home had made it easier and more effective to do business and to learn new ways to do it and reach places that were hard to access before.
Upgrading technological infrastructure for business has become a priority, he said, adding that rapid and continuous development had become a necessity.
Technology and communications are key factors that will determine how businesses will survive, but the recovery will take years for many businesses to reach before-pandemic levels, he stressed.
Mohamed Qaoud, head of the tourism and aviation committee at the EJBA, said that changes to how companies do business had been extensive due to the unprecedented circumstances.
He added that the government had supported businesses across many sectors following the spread of the virus and the measures taken to combat it, and businesses had come up with short-term plans and crisis-management tactics, along with medium-term plans on how to cope with dynamic changes and long-term plans for business sustainability based on new norms.
Qaoud stressed that businesses would not be going back to the same environment they had operated in before the pandemic. Although we might go back to our normal lives after the crisis is over, there are now new norms, policies, and strategies that we will follow in the upcoming years, he said.
The crisis showed the importance of job integration and why we must revisit the way we do business in order to achieve maximum productivity, Qaoud said.
We need to promote the concept of job integration with more business owners, and that will happen when we apply international best practices of corporate governance, which will add more sustainability to organisation, reflecting on the performance of stakeholders, owners, and employees, said Wael Rashidy, founder and CEO of Guiders Consult, a consultancy company, and head of the consultancy committee at the EJBA.
He said that the business community had started to take advantage of digital platforms and technologies available online to discover more attractive business opportunities and integration in the form of consortiums and joint ventures that would help to overcome the economic effects of the coronavirus pandemic.
He added that companies had started to think smarter and wiser, and that business owners and leaders had started to think more about risks and the different ways of managing them, as well as about utilising technologies and digital transformation in managing business risks, reducing costs, and enhancing business performance, in order to sustain businesses and achieve objectives.
However, operations in the industrial sector were totally different, as machinery needed labour to operate it, he said, and the change in the sector had happened on the level of production and supply-chain planning.
He added that in some sectors such as manufacturing and agriculture, the changes would be temporary until the pandemic was over, unless owners invested in the new business norms by raising awareness about risk-management, improving supply and value chains, restructuring decision-making processes and the processes of doing business, and thinking about ways of governing business for sustainability.
According to a questionnaire sent out by the EJBA, 95 per cent of business owners in 50 countries around the world, including Egypt, will focus their plans in 2021 on the mental health of employees to achieve greater well-being, and 60 per cent will work on motivational initiatives.
Additionally, 70 per cent have clear plans regarding visions for job engagement and building a trust-based culture to increase productivity.
According to the New McKinsey Global Institute, a branch of the US consultancy firm, productivity has long been a weak spot in global growth, but the coronavirus crisis might have kick-started a rise in productivity.
As companies have shifted rapidly to online channels, it said, automated production tasks, increased operational efficiency, and sped-up decision-making and innovations in operating models, had led productivity to rise, and more growth may be in store.
Research by the institute found that there was potential to accelerate annual productivity growth by about one percentage point by 2024.
*A version of this article appears in print in the 8 April, 2021 edition ofAl-Ahram Weekly
Short link:
Continued here:
Doing business in the time of the pandemic - Egypt - Al-Ahram Weekly - Ahram Online
SAS digs deeper into the core tenets of responsible AI – bizEDGE New Zealand
What is responsible artificial intelligence (AI)? There is a simple message at the heart of the discussion:Those that develop an AI modelmust be accountable for its development.
The broad term artificial intelligence was born in the 1940s and gained its moniker in 1956. For years it played along with the image of a human-like robot, trying to make sense of people to help them.
AI was much more than this stereotypical image, though. Its capabilities were developed as new ideas, innovations, and technologies evolved.
SAS is a technology company that has leveraged AI as part of its business for decades.
In 2019, SAS announced a $1 billion investment in AI over a three year period, building on a broad scope of capabilities ranging from advanced analytics to natural language processing, forecasting, computer vision, model governance, and many areas in between.
It could be easy to jump down rabbit holes to explore whats possible - and thats part of what innovation is about, but SAS strongly believes in the responsible development and implementation of AI - a process that takes into consideration the worlds policymakers, regulators, and of course, its customers.
But what exactly is the responsible development and implementation of AI?
According to the Australian Government, there are eight fundamental principles associated with AI design, development, integration, and use.
These principles include accountability, contestability, fairness, human-centred values, human, social and environmental wellbeing, privacy protection and security, reliability and safety, and transparency and explainability.
The principles, whilst voluntary, are designed to complement AI regulations and AI development by helping to achieve better outcomes, encourage ethical decisions, and to reduce the risk of negative impacts.
For SAS, responsible AImeans developing and using AI through accountability, careful management, fairness, and transparency.
For example, SAS software features may vary depending on customer needs, but there are some key pillars to AI that remain relevant for every AI build, which the company explains in its How to Take AI Projects from Start to Win ebook.
Common features for the responsible deployment and management of AI and analytics include:
1. Data quality that promotes accountability, fairness, and transparency
SAS data management software enables organisations to:
2. Model quality and management
SAS Model Manager offers model tracking, validation, auditing, and retraining features. These features help customers manage their AI models in a responsible way.
A centralised model repository offers model lifecycle templates and version control abilities - these provide visibility into an organisations analytical processes, ensure complete traceability, and enable model governance.
3. Model interpretability
Whether organisations are looking for interpretability on an enterprise or industrial scale, SAS software features explainability technologies such as:
Between data quality, model management and interpretability, you might be wondering how these technical features help to improve human understanding of AI.
4. Human-centricity
SAS understands that responsible AI is also about helping customers follow the same good practice. Thats why the company offers comprehensive training and certifications on the responsible use of AI across different applications.
SAS Domain Lead - Advanced Analytics, Ray Greenwood points to a SAS, McKinsey and Intel study that found the biggest barrierto AI adoption within organisations is trust. Frontline staff are supposed to leverage AI output but if they don't trust it, AI is an expense that is unused and delivers no benefits.
"SAS as a technology provider is investing in the delivery of all of the techniques that can help bring transparency to AI. SAS helps to make it apparent both to the developers - and the ultimate consumers of AI -why a decision was reached, how that decision was reached, and what influenced it. All of that can help with explainability," he says.
Furthermore, the company educates customers and prospects about the technology that underpins AI, but much of the conversation is about AI literacy. Data scientists can also leverage certifications and training.
"The idea is to getdata scientists and non-data scientistson the same page in terms of what AI realistically can or can't achieve within thecircumstances that AI is going to be put into production. When you do that,you get far more profitable outcomes and you get far more beneficial use of AI because the expectations are aligned with the likely outcome."
Human-centric AI is built into SAS Visual Data Mining and Machine Learning (VDMML) by providing model interpretation reports in simple language, while SAS Visual Investigator captures governance, audit, and compliance details for humans who triage and manage cases. Interfaces are also customisable, so each SAS customer can rely on people to maintain human oversight and human intervention.
No AI solution would be complete without recognising diversity and accessibility. SAS believes that diverse teams are more likely to create solutions that anticipate unfair bias and take steps to avoid or mitigate them. This is why SAS encourages diversity within its company and also invests in the development of STEM talent.
Software should be accessible to those with disabilities. SAS has a dedicated accessibility team that trains its R&D staff to incorporate accessibility needs into product development. SAS Disability Support Center is key to this support because itprovides information about the accessibility features of SAS products and training for users with disabilities.
Bringing the core components of responsible AI into any AI project
Data quality, model quality and management, model interpretability and human-centricity make up the baseline of any kind of AI development and deployment.
SAS recommends that organisations start small, then build a repeatable, scalable and trustworthy approach that will win buy-in for your next AI project.
Read about the four pillars of starting a successful AI program and see examples of how other organisations have taken their AI projects from start to finish - download theHow to Take AI Projects from Start to Win ebooknow.
View original post here:
SAS digs deeper into the core tenets of responsible AI - bizEDGE New Zealand
Data Mining Tools Market Size to 2026 Global Industry Outlook, Growth Opportunities, Trends and Forecast with Top Players Analysis |…
Data Mining Tools Market Report: Introduction
Report onData Mining Tools Market provides decision making based on historic and forecast data and the drivers and restraints on the market. It creates regional and country strategies based on local data and analysis. With the utilization of this study, businesses can keep up to date with client behavior and the latest market updates. The report helps in developing strategies based on upcoming developments. With this report, the relationships between key data sets for superior strategizing can be utilized. Global Data Mining Tools report is suitable for supporting internal and external presentations with reliable premium data and analysis. Reports and Markets on Data Mining Tools market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the markets growth.
Request for a sample copy of the report to get extensive insights into Data Mining Tools market at
Major Players Covered in Data Mining Tools Market Report are: IBM, SAS Institute, Oracle, Microsoft, Teradata, MathWorks, H2O.ai, Intel, Alteryx, SAP, Rapidminer, Knime, FICO, Salford Systems, BlueGranite, Angoss Software, Megaputer Intelligence, Biomax Informatics, Frontline Systems, Suntec India, Dataiku, Wolfram Research, Reltio, SenticNet, Business Insight. and more
Data Mining Tools Market Report Provides Comprehensive Analysis on Following:
COVID-19 Impact Analysis & Post COVID-19 Revenue Opportunities
Data Mining Tools Industry Insights and Growth Relevancy Mapping
Market Forecast Estimation & Approach
Data mining & efficiency
Interconnectivity & Related markets
Data Mining Tools Ecosystem Map
Market Competition Outlook & Key Statistics
Strategic Analysis for Cost Optimization
Data Mining Tools Market Dynamics
Data Mining Tools Market Key Trends
Recommendations & Investment Landscape
Company Competitive Intelligence
The report also focuses on the global major leading industry players of the Global Data Mining Tools market providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue, and contact information.
Data Mining Tools Market landscape and the market scenario include:
Current market size estimate
Revenues by players
Market size by product categories
Market size by regions/country
The Data Mining Tools industry development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed, and overall research conclusions offered.
Any Questions/Queries or need help? Speak with our analyst:
Important Questions Answered:
Reasons you should buy this report:
About Us:
Reports and Marketsis not just another company in this domain but is a part of a veteran group calledAlgoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.
Contact Us:
Sanjay Jain
Manager Partner Relations & International Marketing
http://www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
Visit link:
The New Predictive Analytics Model All Forecasters Should Be Using | Demand-Planning.com – Demand-planning.com
In transitioning from just traditional time-series modeling to predictive analytics, one of the key aspects is utilizing different causal inputs in your forecasting. It is not just relying only on internal shipment data or order history but considering external factors and a multitude of variables that paint a more complete picture.
Knowing how to integrate this new data and which ones to use can be intimidating and challenging but if done well, it is rewarding and profitable.
One of the most significant new models I have seen in a while helps bridge the gap between data and insights, and turns multiple inputs into valuable forecasted outputs. It is a powerful model that even inexperienced forecasters and data scientists can use. Using this new methodology, you are almost certain to get the highest fitted forecast or r-squared with little effort or concern. This is a brief introduction into this new method.
It is called Auto Phantom Regression with Integrated Linear Forecasting Operation and Ordinary Least Squared Estimator.
Although the name of the model is long (I am sure they will eventually come up with a good acronym), the name really highlights exactly what it does. Imagine a scenario where you have many predictor variables, or dont even know what variables exist and youre not sure how to include them. Because there are so many predictor variables, you would like some help in creating a good model automatically. It will do this by trying and testing many phantom variables during the exploratory stages, building a regression forecast based on ordinary least squares to find the best fit.
The way it accomplishes this is by using a type of stepwise regression in that it selects a model by automatically, adding or removing individual real and dummy predictors, a step at a time based on their statistical significance. The end result of this process is a single regression model, which makes it nice and simple. What makes this model extra special is that every time the model adds or removes predictors based on a statistical test, you also invoke a phantom degree of freedom because youre learning something from your data set but it does not show up as a degree of freedom.
These phantom degrees of freedom will not impact your number of observations per parameter estimate or affect the predicted R-squared. Instead, it allows the model to perform many statistical tests and try out many models based on actual and dummy variables until it finds a combination that appear to be significant and give you the highest r-squared.
Now there are some serious concerns and words of caution with this new revolutionary model. Firstly, when you try many different models and variables, youre bound to find one that best fits the data but doesnt fit reality. Second there is no magic bullet when it comes to building a model. And third, while there are components which are real and useful, I do not actually know of any Auto Phantom Regression with Integrated Linear Forecasting Operation and Ordinary Least Squared estimator model or, as it is known by its acronym, APRILFOOLS!
You can learn a lot from trying different variables and bringing multiple data sets into your forecasting process. But be careful. When using regression models, a degree of freedom is a measure of how much youve learned. Your model uses these degrees of freedom with every variable that it estimates. If you use too many, youre overfitting the model. The end result is that the regression coefficients, p-values, and R-squared can all be misleading and, while the model fits the data, it does not serve as a useful forecast.
Before throwing data about every potential predictor under the sun into your regression model, remember that it may not make it better. With regression, as with so many things in life, there comes a point where adding more is not better. In fact, sometimes not only does adding more factors to a regression model fail to make things clearer, it actually makes things harder to understand!
Yes, we absolutely need to start looking at various inputs to improve our forecast. There is still a place for conducting prior research into the important variables and their relationships to help you specify the best model. When you are using new variables, collect a large enough sample size to support the level of model complexity you need. Avoid data mining for what may work and keep track of how many phantom degrees of freedom you raise before arriving at your final model.
I dont care if you are using a traditional time-series model or sophisticated machine learning algorithm, when you hear the words best pick, be cautious. If you evaluate your model on the same data you used to train it, your model could very easily have overfitting. To help avoid this, have a testing data set or time series hold out periods. This is part of the overall data set you set aside and use to provide an unbiased evaluation of a final models fit before putting it into production.
Finally, if a model seems too good to be true and over-sophisticated to the point that you do not completely understand it, it may not be the right model. There is no replacement for experience and knowledge, and learning what is right for your forecasting process.
For further information on choosing the right forecasting model, click here. Alternatively, pick up a copy of my new book, Predictive Analytics For Business Forecasting.
For insight into real predictive analytics models that identify meaningful casual relationships in your data, attend IBFs Predictive Business Analytics, Forecasting & Planning Conference from April 20-22, 2021.
Visit link:
NFTs and the Future of Car Connectivity – Ward’s Auto
The exploitation and manipulation of social media users for financial gain through surveillance capitalism and data mining doesnt appear to be at the forefront of consumers minds, despite what we witnessed in 2020s election cycle. But it should be.
Surveillance capitalism is an economic system centered on the commodification of personal data with the core purpose of profit-making. The concept arose as advertising companies such as Facebook and Google saw the possibilities of using personal data to target consumers more precisely.
In most cases these platforms are offered as free, but the reality is, there can be a steep cost. We are offered services or applications marketed as making our lives better. And now between our smartphones and cars themselves, our driving needs and habits are becoming another source for behavioral data points that can be exploited.
Data Mining While You Drive
There already are several programs and services designed to help drivers who share certain information. Each offers value for the user while collecting data valuable to the company.
Looking ahead, we will be able to choose which information we share with car companies and mobility providers and in some instances we won't. In some instances we may even have the option to receive compensation, rewards or a discount based on our preferences and behavior.
Where Does the Buck Stop?
But what if you learned that your insurance company was re-purposing that information for monetary gain, let alone for nefarious purposes or interests that don't share your values? Would you continue sharing your driving patterns for the reward?
Like social media does for Big Tech companies, car connectivity gathers data for automakers (and other parties of interest. And while on the front end it appears to be a fair deal, if we have learned anything about corporations it is that their pursuit of profit and power can go unchecked.
Blockchain and NFTs
The unique role that non-fungible tokens, or NFTs, could play for consumers as a form of currency exchange for personal bits of information that you authentically own could very well be on the horizon.
NFTs are cryptographic assets on blockchain with unique identification codes and metadata that distinguish them from each other. Unlike cryptocurrencies, they cannot be traded or exchanged at equivalency. This differs from fungible tokens like cryptocurrencies, which are identical to each other and, therefore, can be used as a medium for commercial transactions.
As an example, Twitter founder Jack Dorsey just sold his first tweet as an NFT for $2.9M. The tweet, a digital asset, was bought using the cryptocurrency Ether, for 1630.5825601 ETH, which was worth $2,915,835.47 at the time of sale.
Each NFT has its own blockchain-based digital signature, which serves as a public ledger, allowing anyone to verify the assets authenticity and ownership. And much like a tweet, the records of your whereabouts and activities could also potentially be certified as digital assets and used as NFTs with nominal value.
In summary, Big Tech companies have crossed the line with the use of information they accumulate from its users by censoring and silencing information that doesnt support their own ideological narratives. They also give information and entities that support their ideologies access to the masses, for a fee.
The only choice consumers have to combat this is to stop using apps and technologies offered by these companies. But that doesnt empower consumers and choosing to not use our cars or go anywhere to preserve our privacy is not a realistic option.
Consumers will learn in due time that while the value of our predictive nature might be a commodity for Big Tech, we run the risk en masse that this can and will be used against us. I believe that the blockchain and NFTs could potentially provide a system where we as consumers have more control and capabilities with our predictive behavior.
Ryan Gerardi (pictured above, left) is founder and president of AutoConversion, which specializes in B2B and retail solutions for automotive, mobility and transportation companies.
See original here:
IBM, Red Hat partner with Celonis on process mining software – TechTarget
IBM and Red Hat have struck a partnership with Celonis to push process mining software that identifies inefficiencies in business processes across an enterprise.
The Celonis Execution Management System (EMS) pulls real-time data from Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems and applies process intelligence and automation capabilities to improve execution of business processes across an organization. The product primarily targets organizations engaged in digital transformation projects.
"This software can examine every business process a company has, going across finance teams to supply chains to order management," said Malhar Kamdar, chief ecosystem officer with Celonis. "It can root out inefficiencies and present people with the truth about how their processes are working so they can make the appropriate changes to them."
While there appears to be no other top-tier software companies with straight-up process mining products, smaller companies are entering the market. Nintex Promapp offers a cloud-based process mining program that features a repository for storing core processes and procedures. ProcessGolds process mining tool connects all system data and creates a digital visualization of business processes. MPM ProcessMining has a collection of applications that combine process mining and business analytics that enables not just self-service process mining but business intelligence reporting.
The Celonis partnership is the first for IBM in the process mining market. IBMs only entry in this market is IBM Blueworks Live, a cloud-based business process modeling tool. The product allows inexperienced users to quickly learn the bsics of business process mining.
IBMs Global Services unit will integrate Celonis' product into its consulting work in multiple areas including supply chain, finance, procurement HR and application modernization. The company also plans to embed Celonis software into its Garage offering to improve workflow analysis and speed up workflows for processes such as production, customer service, manufacturing and logistics.
The Celonis deal should benefit IBM and Red Hat corporate users that have not only IBM Cloud and OpenShift, but also have platforms and applications from other top-tier vendors on which users have built business processes that travel across the enterprise.
"The Celonis product right out of the box has connectors that hook into SAP, Salesforce, Workday and ServiceNow," said Matthew Candy, global managing partner with IBM iX, a professional services organization within IBM Services. Big organizations have mixed platforms and their [business] processes run end-to-end with data traveling across all those platforms. [The Celonis product] allows us to plug in to see the process flows and locate where the inefficiencies are across the enterprise, he said.
By deriving intelligence from the data being examined, users can take more effective actions to correct the inefficiencies and drive higher ROI levels, Candy said.
"This helps them extract more value from the investments they have already made across the estate and in the base platform," Candy said. "This is the prospect we find most interesting now -- the ability to unlock inefficiencies, allowing companies to extract the benefits from what they have already invested in such as ERP platforms," he said.
One analyst believes the Celonis offering should work well with IBMs Garage methodology.
"IBMs Garage methodology examines and rebuilds workflow processes and resources for customers at a high level," said Alan Webber, IDC program vice president focused on customer experience. "But the problem is theres an immense amount of inefficiencies in any workflow you have to deal with. The Celonis product uses the data to mine processes and locate where those inefficiencies exist. Adding this on top of Garage users should realize higher value than they had before, " he said.
The Global Business Services unit also plans to build custom applications on the Celonis EMS for selected industries and domains specifically targeting regulated industries. The purpose of these applications will be to bring more actionable data and intelligent workflows to larger enterprises.
As part of its commitment to pursuing a hybrid cloud strategy, Kamdar said Celonis will use Red Hats OpenShift across any public or private cloud installation its users operate. This level of flexibility, he believes, gives his offering an advantage in highly regulated industries by offering greater interoperability across users existing systems.
Celonis said it plans to re-platform their entire portfolio of product to run on OpenShift over time. This will give users more options as to where they want to run their Celonis workloads.
As Editor At Large with TechTargets News Group, Ed Scannell is responsible for writing and reporting breaking news, news analysis and features focused on technology issues and trends affecting corporate IT professionals. He has also worked for 26 years at Infoworld and Computerworld covering enterprise class products and technologies from larger IT companies including IBM and Microsoft, as well as serving as Editor of Redmond for three years overseeing that magazines editorial content.
See the rest here:
IBM, Red Hat partner with Celonis on process mining software - TechTarget
Swift Action Urged To Prepare For Next Pandemic – Eurasia Review
An international team of researchers led by a University of Virginia School of Medicine professor is warning that scientists must better prepare for the next pandemic and has developed a plan to do just that.
Noting the avalanche of scientific data generated in response to COVID-19, UVAs Wladek Minor, PhD, and colleagues are calling for the creation of an advanced information system (AIS) to help scientists integrate, monitor and evaluate the vast amounts of data that will be produced as researchers reveal the molecular architecture of the next pathogen posing a big biological threat. This information on the shape, structure, and function of a pathogen is essential to the development of medications, vaccines and treatments. For example, the COVID-19 vaccines now available target the spike protein on the surface of the SARS-CoV-2 virus.
Their heavily cited online resource for COVID-19 demonstrates the usefulness of their approach and can be used as a foundation for the new research strategy, they say. The site includes carefully validated 3-D structural models of numerous proteins related to the SARS-CoV-2 virus, including many potential drug targets.
Structural models and other experimental results produced by various laboratories must follow a standard evaluation procedure to ensure that they are accurate and conform to accepted scientific standards, said Minor, Harrison Distinguished Professor of Molecular Physiology and Biological Physics at UVa. Standardized validation is important for all areas of biomedical sciences, especially for structural models, which are often used as a starting point in subsequent research, such as computer-guided drug docking studies and data mining. Even seemingly insignificant errors can lead such research astray.
One important role of AIS would be to identify structures that can be refined and improved, the researchers say. They were happy to note that inspection of the molecular blueprints produced for components of COVID-19 and deposited in the Protein Data Bank online database suggests that most were very good. Less than 1% needed significant reinterpretation and less than 10% could be optimized by moderate revisions.
Still, good buildings require good blueprints. The same is true with vaccines and disease treatments. Its critical, the researchers say, that the structural and other data for pathogens are as accurate as possible, and that scientists from various fields are speaking the same language when discussing and using them. The proposed AIS would help ensure conformity across disciplines.
Almost 100,000 COVID-19-related papers have been published and over a thousand models of macromolecules encoded by SARS-CoV-2 have been experimentally determined in about a year. No single human can possibly digest this volume of information, Minor said. We believe that the most promising solution to information overload and the lack of effective information retrieval is the creation of an advanced information system that is capable of harvesting results from all relevant resources and presenting the information in instructive ways that promote understanding and knowledge.
The researchers acknowledge that implementing their proposal would be a major undertaking. Other resources that sought to offer similar benefits on a smaller scale have already come and gone. Thats why its so important, the scientists say, that we act now. Creating an AIS will undoubtedly require the collaboration of many scientists who are experts in their respective fields, but it seems to be the only way to prepare biomedical science for the next pandemic, the researchers write in a new scientific paper outlining their proposal.
In the history of humanity, the COVID-19 pandemic is relatively mild by comparison with the bubonic plague (Black Death) that killed a hundred times more people, the researchers conclude. We might not be so lucky next time.
The researchers from UVA, the National Cancer Institute, Poland and Austria have detailed their plan in an article in the scientific journalIUCrJ. The article is featured on the journal cover. The research team consists of Marek Grabowski, Joanna M. Macnar, Marcin Cymborowski, David R. Cooper, Ivan G. Shabalin, Miroslaw Gilski, Dariusz Brzezinski, Marcin Kowiel, Zbigniew Dauter, Bernhard Rupp, Alexander Wlodawer, Mariusz Jaskolski and Minor.
Read the rest here:
Swift Action Urged To Prepare For Next Pandemic - Eurasia Review
Is Intrusion Inc. (INTZ) Stock About to Get Hot Thursday? – InvestorsObserver
The market has been high on Intrusion Inc. (INTZ) stock recently. INTZ gets a Bullish score from InvestorsObserver's Stock Sentiment Indicator.
Sentiment is a very short-term indicator that is entirely technical. There is no information about the health of profitability of the underlying company in our sentiment score.
As a technical indicator, news about the stock, or company, such as an earnings release or other event, could move the stock counter to the recent trend.
Recent trends are a good indicator of current market sentiments. In its most basic form, stocks that are trending up are desirable by investors while stocks currently falling must be unattractive.
InvestorsObserver's Sentimental Indicator tracks both changes in price and volume to analyze the most recent trends. Typically an increase in volume indicates ongoing trends are getting stronger, while a decrease in volume usually signals an end to the current trend.
Available options can also represent current sentiments for a given stock. Since investors are able to bet on future trends of stocks using options, we consider the ratio of calls to puts when analyzing market sentiments .
Intrusion Inc. (INTZ) stock is trading at $25.77 as of 2:57 PM on Thursday, Apr 1, a gain of $2.40, or 10.27% from the previous closing price of $23.37. The stock has traded between $23.16 and $25.90 so far today. Volume today is 276,973 compared to average volume of 251,118.
To see InvestorsObserver's Sentiment Score for Intrusion Inc. click here.
Intrusion Inc is engaged in developing, marketing and supporting a group of entity identification, high-speed data mining, cybercrime and advanced persistent threat detection products. The company's product consists of TraceCop which is for identity discovery and disclosure, Savant for network data mining and advanced persistent threat detection and Compliance commander which is for regulated information and data privacy protection. In addition, its products are used by various customers including banks, credit unions, other financial institutions, United States federal government entities, foreign government entities, hospitals, and other healthcare providers.
Click Here to get the full Stock Score Report on Intrusion Inc. (INTZ) Stock.
See original here:
Is Intrusion Inc. (INTZ) Stock About to Get Hot Thursday? - InvestorsObserver
Newly Report on Automatic Identification Systems Market 2021, Growth, Share, Types and Key Players: | Orbcomm Inc, Japan Radio Company Ltd, Furuno…
The Automatic Identification System (AIS) is an automated, autonomous tracking system which is extensively used in the maritime world for the exchange of navigational informational between AIS-equipped terminals.
Automatic Identification Systems Market Report: Introduction
Report onAutomatic Identification Systems Market provides decision making based on historic and forecast data and the drivers and restraints on the market. It creates regional and country strategies based on local data and analysis. With the utilization of this study, businesses can keep up to date with client behavior and the latest market updates. The report helps in developing strategies based on upcoming developments. With this report, the relationships between key data sets for superior strategizing can be utilized. Global Automatic Identification Systems report is suitable for supporting internal and external presentations with reliable premium data and analysis. Reports and Markets on Automatic Identification Systems market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the markets growth.
Request for a sample copy of the report to get extensive insights into Automatic Identification Systems market at
Major Players Covered in Automatic Identification Systems Market Report are: Orbcomm Inc, Japan Radio Company Ltd, Furuno Electric, Kongsberg Gruppen ASA, Garmin International, SAAB AB, L-3 Communication Holdings Inc, Exactearth, CNS Systems AB, True Heading AB and more
Automatic Identification Systems Market Report Provides Comprehensive Analysis on Following:
COVID-19 Impact Analysis & Post COVID-19 Revenue Opportunities
Automatic Identification Systems Industry Insights and Growth Relevancy Mapping
Market Forecast Estimation & Approach
Data mining & efficiency
Interconnectivity & Related markets
Automatic Identification Systems Ecosystem Map
Market Competition Outlook & Key Statistics
Strategic Analysis for Cost Optimization
Automatic Identification Systems Market Dynamics (DROC & PEST Analysis)
Automatic Identification Systems Market Key Trends
KOL Recommendations & Investment Landscape
Company Competitive Intelligence
The report also focuses on the global major leading industry players of the Global Automatic Identification Systems market providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue, and contact information.
Automatic Identification Systems Market landscape and the market scenario include:
Current market size estimate
Revenues by players
Market size by product categories
Market size by regions/country
The Automatic Identification Systems industry development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed, and overall research conclusions offered.
Any Questions/Queries or need help? Speak with our analyst:
Important Questions Answered:
Reasons you should buy this report:
About Us:
Reports and Marketsis not just another company in this domain but is a part of a veteran group calledAlgoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.
Contact Us:
Sanjay Jain
Manager Partner Relations & International Marketing
http://www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
Read the rest here:
Newly Report on Waterborne Coatings Market 2021, Growth, Share, Types and Key Players: | BASF SE (Germany), AkzoNobel NV (Netherlands), Axalta Coating…
Waterborne Coatings Market Report: Introduction
Report onWaterborne Coatings Market provides decision making based on historic and forecast data and the drivers and restraints on the market. It creates regional and country strategies based on local data and analysis. With the utilization of this study, businesses can keep up to date with client behavior and the latest market updates. The report helps in developing strategies based on upcoming developments. With this report, the relationships between key data sets for superior strategizing can be utilized. Global Waterborne Coatings report is suitable for supporting internal and external presentations with reliable premium data and analysis. Reports and Markets on Waterborne Coatings market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the markets growth.
Request for a sample copy of the report to get extensive insights into Waterborne Coatings market at
Major Players Covered in Waterborne Coatings Market Report are: BASF SE (Germany), AkzoNobel N.V. (Netherlands), Axalta Coating System LLC (U.S.), PPG Industries, Inc. (U.S.), The Valspar Corporation (U.S.), Sherwin-Williams Company (U.S.), Nippon Paints Holdings Co. Ltd. (Japan), Berger Paints India Limited (India), Kansai Paint Company Limited (JAPAN), Jotun Group (Norway). and more
Waterborne Coatings Market Report Provides Comprehensive Analysis on Following:
COVID-19 Impact Analysis & Post COVID-19 Revenue Opportunities
Waterborne Coatings Industry Insights and Growth Relevancy Mapping
Market Forecast Estimation & Approach
Data mining & efficiency
Interconnectivity & Related markets
Waterborne Coatings Ecosystem Map
Market Competition Outlook & Key Statistics
Strategic Analysis for Cost Optimization
Waterborne Coatings Market Dynamics (DROC & PEST Analysis)
Waterborne Coatings Market Key Trends
KOL Recommendations & Investment Landscape
Company Competitive Intelligence
The report also focuses on the global major leading industry players of the Global Waterborne Coatings market providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue, and contact information.
Waterborne Coatings Market landscape and the market scenario include:
Current market size estimate
Revenues by players
Market size by product categories
Market size by regions/country
The Waterborne Coatings industry development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed, and overall research conclusions offered.
Any Questions/Queries or need help? Speak with our analyst:
Important Questions Answered:
Reasons you should buy this report:
About Us:
Reports and Marketsis not just another company in this domain but is a part of a veteran group calledAlgoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts.
Contact Us:
Sanjay Jain
Manager Partner Relations & International Marketing
http://www.reportsandmarkets.com
Ph: +1-352-353-0818 (US)
Read the rest here: