Category Archives: Data Mining
Elementary OS 6 Odin released on a ‘pay what you want’ basis – The Register
Elementary has released version 6 of its Ubuntu-based operating system, named Odin, on a "pay what you want" model.
It seems that every other day another Linux distro comes along, claiming to be an easy to use alternative to commercial offerings, and likewise Elementary is billed as a "thoughtful, capable and ethical replacement for Windows and macOS."
The first look of Elementary OS is appealing, with a somewhat Mac-like Dock, a striking desktop background, and a minimalist user interface. There are some puzzles, though: for example, how to write a review when there is no LibreOffice or equivalent, just a programmer's editor called Code (and no, not the Microsoft one).
Elementary OS 6 'Odin' is now available
A trip to the AppCenter left us no better off, with a sparsely populated section called Office that lacked anything suitable. However, there is a paragraph in the introductory tutorial titled Sideload. "You can download Flatpak apps from third-party sources like Flathub," it said, warning that such apps "have not been reviewed by Elementary for security or privacy."
Another option is to open a terminal and "type sudo apt install libreoffice", which did the trick. Still, this does seem a lot to ask of novice users. FlatHub would have worked for LibreOffice too, and turned out to be what we should have used to get the most from the OS.
Elementary, like Zorin OS, is based on Ubuntu 20.04 LTS (long-term support), but where Zorin supplies a generous bundle of popular applications, Elementary seems keen to point users towards its own ecosystem. This is distinctive in that both the operating system and its store (the AppCenter) adopt a "pay what you can" approach where the user types in the amount they will pay, from zero and up.
"Thanks to our pay-what-you-want model, elementary, Inc. now has several employees and regular contractors to work on the operating system, and we've sparked quite a lot of conversation around paying app developers in the wider open source ecosystem all while avoiding advertisements or data mining," said founder and CEO Daniel For in March this year.
Pay what you want ... apps in the AppCenter let the user choose
A glance at the company blog shows more posts with an ethical dimension, like leaving Google Analytics in favour of open analytics from Plausible, and "Why we left Medium", in which co-founder Cassidy James Blaede stated his view that the blogging platform had become too "aggressive toward readers."
In the post on OS 6, Blaede claimed "an unmatched commitment to privacy" as well as effort to create an elegant user interface. There is also an application permissions dialog reminiscent of Android or iOS, though we blew a hole in this by installing LibreOffice with Aptitude since it only applies to Flatpak applications.
"Users of elementary OS never need Terminal to complete basic tasks," said Blaede. There is also strong support for touch users, with multi-touch support and numerous gestures. Accessibility is another high priority.
Application permissions can be controlled by the user as long as they are installed with Flatpak
Elementary OS does seem spartan out of the box, though, and a question is whether it makes sense for the Elementary team to have expended so much effort on writing its own software, including a code editor, music player, camera app, email client, task manager and more all the repositories can be found on GitHub here when more feature-rich applications performing these same functions already exist. The applications in the AppCenter are said to be diligently curated, but when there are so few that the user has to look elsewhere, the value of that is undermined.
That said, Elementary is a carefully designed Linux distro which is Flatpak-based and highly principled in its approach, and the cost is, well, whatever the user wants to pay.
See original here:
Elementary OS 6 Odin released on a 'pay what you want' basis - The Register
How Data Mining Works: A Guide | Tableau
Data mining is the process of understanding data through cleaning raw data, finding patterns, creating models, and testing those models. It includes statistics, machine learning, and database systems. Data mining often includes multiple data projects, so its easy to confuse it with analytics, data governance, and other data processes. This guide will define data mining, share its benefits and challenges, and review how data mining works. Data mining has a long history. It emerged with computing in the 1960s through the 1980s. Historically, data mining was an intensive manual coding process and it still involves coding ability and knowledgeable specialists to clean, process, and interpret data mining results today. Data specialists need statistical knowledge and some programming language knowledge to complete data mining techniques accurately. For instance, here are some examples of how companies have used R to answer their data questions. However, some of the manual processes are now able to be automated with repeatable flows, machine learning (ML), and artificial intelligence (AI) systems.
As discussed, data mining may be confused with other data projects. The data mining process includes projects such as data cleaning and exploratory analysis, but it is not just those practices. Data mining specialists clean and prepare the data, create models, test those models against hypotheses, and publish those models for analytics or business intelligence projects. In other words, analytics and data cleaning are parts of data mining, but they are only parts of the whole.
Data mining is most effective when deployed strategically to serve a business goal, answer business or research questions, or be a part of a solution to a problem. Data mining assists with making accurate predictions, recognizing patterns and outliers, and often informs forecasting. Further, data mining helps organizations identify gaps and errors in processes, like bottlenecks in supply chains or improper data entry.
The first step in data mining is almost always data collection. Todays organizations can collect records, logs, website visitors data, application data, sales data, and more every day. Collecting and mapping data is a good first step in understanding the limits of what can be done with and asked of the data in question. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is an excellent guideline for starting the data mining process. This standard was created decades ago and is still a popular paradigm for organizations that are just starting.
The CRISP-DM comprises a six-phase workflow. It was designed to be flexible; data teams are allowed and encouraged to move back to a previous stage if needed. The model also provides opportunities for software platforms that help perform or augment some of these tasks.
Comprehensive data mining projects start by first identifying project objectives and scope. The business stakeholders will ask a question or state a problem that data mining can answer or solve.
Once the business problem is understood, it is time to collect the data relevant to the question and get a feel for the data set. This data often comes from multiple sources, including structured data and unstructured data. This stage may include some exploratory analysis to uncover some preliminary patterns. At the end of this phase, the data mining team has selected the subset of data for analysis and modeling.
This phase begins with more intensive work. Data preparation involves preparing the final data set, which includes all the relevant data needed to answer the business question. Stakeholders will identify the dimensions and variables to explore and prepare the final data set for model creation.
In this phase, youll select the appropriate modeling techniques for the given data. These techniques can include clustering, predictive models, classification, estimation, or a combination. Front Health used statistical modeling and predictive analytics to decide whether to expand healthcare programs to other populations. You may have to return to the data preparation phase if you select a modeling technique that requires selecting other variables or preparing some different sources.
After creating the models, you need to test them and measure their success at answering the question identified in the first phase. The model may answer facets of things not accounted for, and you may need to edit the model or edit the question. This phase is designed to allow you to look at the progress so far and ensure its on the right track for meeting the business goals. If its not, there might be a need to move backwards to previous steps before a project is ready for the deployment phase.
Finally, once the model is accurate and reliable, it is time to deploy it in the real world. The deployment can take place within the organization, be shared with customers, or be used to generate a report for stakeholders to prove its reliability. The work doesnt end when the last line of code is complete; deployment requires careful thought, a roll-out plan, and a way to make sure the right people are appropriately informed. The data mining team is responsible for the audiences understanding of the project.
Data mining includes multiple techniques for answering the business question or helping solve a problem. This section is just an introduction to two data mining techniques and is not currently comprehensive.
The most common technique is classification. To do this, identify a target variable and then divide that variable into appropriate level of detail categories. For example, the variable occupation level might be split into entry-level, associate, and senior. With other fields such as age and education level, you can train your data model to predict what occupation level a person is more likely to have. You may add an entry for a recent 22-year-old graduate, and the data model could automatically classify that person in an entry-level position. Insurance or financial institutions such as PEMCO Insurance used classification to train their algorithms to flag fraud and to monitor claims.
Clustering is another common technique, grouping records, observations, or cases by similarity. There wont be a target variable like in classification. Instead, clustering just means separating the data set into subgroups. This method can include grouping records of users by geographic area or age group. Typically, clustering the data into subgroups is preparation for analysis. The subgroups become inputs for a different technique.
Read the rest here:
Data Mining – Definition, Applications, and Techniques
Data mining is the process of uncovering patterns and finding anomalies and relationships in large datasets that can be used to make predictions about future trends. The main purpose of data mining is to extract valuable information from available data.
Data mining is considered an interdisciplinary field that joins the techniques of computer science and statisticsBasic Statistics Concepts for FinanceA solid understanding of statistics is crucially important in helping us better understand finance. Moreover, statistics concepts can help investors monitor. Note that the term data mining is a misnomer. It is primarily concerned with discovering patterns and anomalies within datasets, but it is not related to the extraction of the data itself.
Data mining offers many applications in business. For example, the establishment of proper data (mining) processes can help a company to decrease its costs, increase revenuesRevenueRevenue is the value of all sales of goods and services recognized by a company in a period. Revenue (also referred to as Sales or Income), or derive insights from the behavior and practices of its customers. Certainly, it plays a vital role in the business decision-making process nowadays.
Data mining is also actively utilized in finance. For instance, relevant techniques allow users to determine and assess the factors that influence the price fluctuations of financial securitiesMarketable SecuritiesMarketable securities are unrestricted short-term financialinstrumentsthat are issued either forequity securities or for debt securities of a publicly listed company. Theissuing company creates theseinstruments for the express purpose of raising funds to further finance business activities andexpansion..
The field is rapidly evolving. New data emerges at enormously fast speeds while technological advancements allow for more efficient ways to solve existing problems. In addition, developments in the areas of artificial intelligence and machine learning provide new paths to precision and efficiency in the field.
Generally, the process can be divided into the following steps:
The most commonly used techniques in the field include:
CFI offers the Business Intelligence & Data Analyst (BIDA)Become a Certified Business Intelligence & Data Analyst (BIDA)From Power BI to SQL & Machine Learning, CFI's Business Intelligence Certification (BIDA) will help you master your analytical superpowers.certification program for those looking to take their careers to the next level. To keep learning and advancing your career, the following CFI resources will be helpful:
View original post here:
Mining its own data, CityBldr builds tool to show cities the best places to build affordable housing – GeekWire
Blue patches represent publicly owned land in Seattle that could support housing. (CityBldr Graphic)
Engineers at CityBldr knew they were sitting on a goldmine of zoning and land data. After all, thats how the Bellevue, Wash.-based big data company helps large corporations know the most cost-effective way to expand operations.
Then five years ago, staff members realized the data might lend itself toward solving one of the biggest social problems in the urban United States: affordable housing. The same information that could show a company where to build its next warehouse could also show a housing nonprofit or a city planner the entire inventory of underutilized, publicly owned land.
Moreover, it could immediately show them how many people could be housed on each parcel under existing zoning. Today, the company is launching a free demonstration website called Public to show in a sharply limited-access way what the software can do.
And with the launch, CityBldr is kicking off a campaign to get corporations to sponsor affordable housing nonprofits in order to get full access to the complete data that could reveal anything from low-hanging housing fruit to the underpinning of a long-term housing plan.
We spent five years building the Rosetta Stone of zoning, said Bryan Copley, CEO and co-founder of CityBldr. And we think it can really help change the amount of housing available.
That data could come in handy in Seattle come November. Should the Compassion Seattle Initiative get voter approval in the next election, the city will be required to build 2,000 units of housing over the following two years.
Copley said CityBldr has compiled a vast and deep land database of 100 U.S. cities with 255 different zoning standards. In those cities, Public data can show everything from land valuation, parcel size, current zoning, what currently is on the land, and how many people could be housed on the land under existing regulations.
For land that has multi-use zoning, a user can click through parameters for single-family, townhome, or multi-family dwellings to find out how many people or units the land could legally hold. A city planner could find out in minutes how many additional people could be housed on all available public land within the city limits.
After consulting with urban planning experts at U.C. Berkeley, M.I.T. and Harvard University the Harvard expert researched how best to help cities with the data Copley said the search was restricted to publicly owned land for two reasons: it can be easier to get a city to unload underused land to a nonprofit and cities sometimes dont have a simple way to track their own land inventories.
That said, the database someday could be opened to privately owned land as well, he said.
We built it so people could make use of it, Copley said. You cant make a private individual sell. Some people just want to sit on the land. But publicly owned land can be different.
Copley said CityBldr representatives have spoken to housing officials and government leaders in Seattle and across the country and the reception has been enthusiastic. He said the cost of getting the data for each city will run $10,000 so that is what a corporation will pay to sponsor a nonprofit.
Ideally, he said, CityBldr wont make a dime on Public. The plan is to collect money to pay for five full-time staff to help housing nonprofits and cities wade through and understand the data while continually updating the database as local regulations and land inventories change.
The dream, Copley said, is to make this zero out, cost wise. Were not doing this for the money.
Read the rest here:
DATA MINING the TWITTER MINEFIELD Contact tracing RAMPING UP again UNPACKING the BALLOT INITIATIVES – Politico
DATA MINING THE TWITTER MINEFIELD Politics is more than what you see on Twitter. But a new analysis of Boston electeds online activity shows theres plenty of information to be gleaned from politicians feeds and follower lists, especially when it comes to the citys mayoral and council elections.
Legislata, a productivity software for politicians, ran the numbers to rank the top 8,225 accounts followed by city councilors and members of Bostons state delegation.
Rep. Ayanna Pressley, a former city councilor, tops the list. Suffolk District Attorney Rachael Rollins, now the nominee for U.S. attorney for Massachusetts, is next. Shes followed by a tie for third between City Councilor Annissa Essaibi George, former state Sen. Linda Forry, the state Democratic Party, and state Attorney General Maura Healey.
Mayoral hopeful Essaibi George is followed by a higher percentage of Boston electeds than any of her rivals for the citys top job, and even former mayor Marty Walsh. But City Councilors Michelle Wu and Andrea Campbell, and Acting Mayor Kim Janeys campaign account, all have more followers to help broadcast their messages to wider audiences a helpful tool as they fight to secure one of the top two spots in the September preliminary.
There are also clear differences in the candidates messaging. Wu tweets most about climate and community and emphasizes words like bold and change. Campbell frequently uses words like equitable and accountability and often mentions the police. Janey, the first woman and Black person to serve as the citys top executive, focuses on proud and joy and history in her messaging. Essaibi George leans into hashtags like #getbosbacktobiz and #citykidswin, while former city economic development chief John Barros uses affordable most frequently.
Twitter followers dont necessarily equal support. But if the percentage of Boston electeds following certain candidates did translate to turnout, the four at-large council seats up for grabs would likely be won by incumbents Michael Flaherty and Julia Mejia, and newcomers Ruthzee Louijeune and David Halbert, the Legislata analysis shows. That projection actually aligns with a recent analysis of at-large candidates cash flows and citywide networks from Rivera Consulting, which also favored those candidates for the at-large seats.
All politics is local, especially on Boston political Twitter, Legislata founder and CEO Chris Oates said. More city councilors follow the Dorchester Reporter than the Boston Globe, and some of the most followed reporters and columnists are the most hyperlocal, like Dorchester Reporters Bill Forry, Adam Gaffins Universal Hub and Chris Lovett of Boston Neighborhood Network News. See the full list here.
GOOD MORNING, MASSACHUSETTS. Have a tip, story, suggestion, birthday, anniversary, new job, or any other nugget for the Playbook? Get in touch: [emailprotected]
TODAY Rep. Lori Trahan, House Speaker Pro Tempore Kate Hogan and local officials highlight federal investments to support the Assabet River Rail Trail extension at 12:30 p.m. in Stow. Janey hosts a press conference to discuss the latest Covid-19 updates and the launch of a mental health response pilot, 1 p.m. at Boston City Hall. Wu works a shift at Bon Mes food truck at 1:30 p.m. in Dewey Square to raise awareness for supporting small businesses. Campbell is a guest on "The Last Word with Lawrence O'Donnell" on MSNBC.
Massachusetts coronavirus cases spike 962, hospitalizations keep rising, by Rick Sobey, Boston Herald: Massachusetts health officials on Wednesday reported a spike of 962 coronavirus cases, as daily infection counts keep climbing amid the more highly contagious delta variant. The 962 cases is the highest single-day case count in nearly three months.
A message from The Massachusetts Coalition for Independent Work:
83% of app-based drivers in Massachusetts want to remain independent while accessing expanded benefits. The Massachusetts Coalition for Independent Work is dedicated to securing flexibility, providing new benefits and guaranteeing an earnings floor for app-based drivers. Learn more, and join our advocacy for independent workers.
Baker shields tax credits for medical devices, shipping companies, by Christian Wade, CNHI/Gloucester Daily Times: Gov. Charlie Baker is moving to protect tax credits for companies that make medical devices and for importers and exporters who use the states shipping ports. Baker said the tax breaks encourage innovation and economic activity and should be maintained, in a message notifying the Legislature of his veto of an addendum to the state budget that would have ended three tax credits.
State Rep. Williams: Were Going To Push For $1 Billion For Black And Brown Communities, by Edgar B. Herwick III, GBH News: State Representative Bud L. Williams is calling on the state to invest $1 billion of federal funds in Black and Brown communities. This came Wednesday at a virtual roundtable discussion, as state lawmakers are currently working to determine how to distribute some $5.3 billion in federal COVID-19 recovery funds from the American Rescue Plan Act (ARPA).
Baker: All Staff In Long-Term Care Facilities Must Be Vaccinated By Oct. 10, by Meghan B. Kelly, WBUR: The Baker administration announced Wednesday that all staff in long-term care facilities, including skilled nursing facilities and the state's two Soldiers' Homes, must be fully vaccinated against COVID-19 by Oct. 10. The mandate marked Gov. Charlie Baker's first order to require vaccination in any private or public workforce.
Contact tracing ramping up yet again, by Bruce Mohl, CommonWealth Magazine: The states contact tracing effort is ramping up again in the midst of a resurgence in COVID-19 cases. The program was scheduled to shut down in September but instead the contract with the operator, the nonprofit Cambridge-based Partners in Health, is being extended through the end of the year. The number of contract tracers, currently at 130, is also being increased by as much as 300.
Vaccine the latest shot featured at nightclubs, by Jill Harmacinski, Eagle-Tribune: LAWRENCE COVID-19 vaccines have been available at pharmacies, clinics, pop-up sites and even block parties. Now, people can grab a drink and a shot at some local nightclubs. Vaccine availability is being increased across the city with more block parties in parks. And, starting Aug. 13, you can also get a vaccine in a nightclub, Mayor Kendrys Vasquez announced.
Provincetown to certify businesses based on COVID-19 vaccination policies, by Drew Karedes, Boston 25 News: There are three certificates: 1. Venue requires all staff to be vaccinated 2. Venue requires proof of vaccination to enter 3. All venue staff are vaccinated, and proof of vaccine is required to enter.
Boston Superintendent Brenda Cassellius is no longer licensed to run school system, by Andrea Estes and James Vaznis, Boston Globe: Boston Schools Superintendent Brenda Cassellius license to run a school system in Massachusetts has expired because she never took the states certification exams, a turn of events that puts her in violation of her contract. ... The deadline for taking the test and securing a new license was last Saturday. Cassellius apologized to the School Committee Wednesday night after the Globe published a story about her license lapsing, saying it was due to a misunderstanding over licensing deadlines. She told them she is scheduled to take the tests on Aug. 14.
Plans for Boston Methadone Mile hotel housing scuttled in face of community opposition, by Sean Philip Cotter, Boston Herald: The controversial plans to house homeless in a vacant Methadone Mile hotel are dead, the main proponent told locals. Victory Programs had sought to move 14 to 35 people living on the streets in the rough area known as Mass and Cass or Methadone Mile into the hotel at 891 Massachusetts Ave. ... The idea, backed by a state grant, was to use the hotel as transitional housing for people on the streets, stabilizing them before moving them out of the Mile, which continues to worsen as a haven of violence and open-air drug use.
Boston: Only One Mayoral Candidate Says Moving Money From Police To Social Services Is A Top Priority, by Saraya Wintersmith, GBH News: A little more than a year has passed since protesters defied pandemic quarantine orders and spilled into Boston streets, decrying racism and police brutality and calling for defunding the Boston Police Department. Now, with about a month to go until the city's Sept. 14 preliminary election, most mayoral candidates have narrowed their focus to improving the Boston Police Department's response to mental health crises cases. Only one, city councilor Andrea Campbell, is charging full-steam-ahead with a plan to restructure the department and reduce its budget by $50 million, about 12.5% of this year's allocation.
Boston Mayoral Candidates Address City's Racial Wealth Gap, by Anthony Brooks, WBUR: All the major Boston mayoral candidates say they have ambitious plans to take on one of the most stubborn problems facing the city: The glaring racial wealth gap. It also matters that the current field of candidates is historically diverse, which means that when some of them talk about how to close the wealth gap, it's personal.
Child care is now a major political issue. Heres how the Boston mayoral candidates want to reform it, by Stephanie Ebbert, Boston Globe: Four of the five major contenders have presented detailed campaign plans on the issue and all have endorsed the recent recommendations of the Birth to Eight Collaborative, a coalition of parents, nonprofits, schools, and advocates working to ensure all children are prepared to succeed when they enter school.
Campbell escalates COVID-19 clash with Janey, by Danny McDonald and Jasper Goodman, Boston Globe: Councilor Andrea Campbell on Wednesday afternoon ramped up criticism of Acting Mayor Kim Janey over her handling of the pandemic. And a day after invoking slavery and birtherism in response to a question about New York Citys new proof-of-vaccine requirements, Janey stood fast, defending her approach to COVID-19 as sensible and equitable, and emphasizing the importance of the public getting vaccinated."
At-large hopefuls weigh-in on 'vaccine proof' idea, by Katie Trojano, Dorchester Reporter: Acting Mayor Kim Janey has come under fire from mayoral rivals after appearing to balk at New Yorks move and comparing requiring the proof to slavery and birtherism. We asked the at-large city council hopefuls to share their stances.
Annissa Essaibi George: The Boston.com interview, by Nik DeCosta-Klipa, Christopher Gavin, and Zipporah Osei, Boston.com: In the crowded field of self-identifying progressive Democrats running to be Bostons next mayor, Annissa Essaibi George is often defined in contrast to her opponents. ... The daughter of immigrants and a lifelong Dorchester native, Essaibi George emphasizes her focus on the most pressing struggles faced by the citys most vulnerable, like homelessness and mental health issues that she saw up close as a former East Boston High School teacher. Id like to be the teacher candidate, Essaibi George says, calling her classroom experience as an invaluable part of her bonafides as a mayoral candidate.
A message from The Massachusetts Coalition for Independent Work:
Some FIRST IN PLAYBOOK endorsements: EMILYs List is endorsing Framingham Mayor Yvonne Spicer and Newton Mayor Ruthanne Fuller in their reelection bids, and is also endorsing Vilma Martinez-Dominguez in the Lawrence mayors race. These strong women leaders have what it takes to confront the challenges in their communities. We know they will continue to work tirelessly on COVID-19 recovery, affordable housing initiatives, infrastructure modernization, and investments in local schools, EMILYs List said in a statement.
EMILYs List is also endorsing four women seeking reelection to the Boston City Council: District 1 Councilor Lydia Edwards, District 8 Councilor Kenzie Bok, District 9 Councilor Liz Breadon and at-large Councilor Julia Mejia.
Boston City Council at-large candidate Ruthzee Louijeune has been endorsed by United Auto Workers Region 9A, per her campaign. We are inspired by Ruthzees campaign of progressive values and inclusive style of leadership, UAW Region 9A regional director Beverley Brakeman said in a statement.
District 3 City Councilor Frank Baker has endorsed Bridget Nee-Walsh for Boston city councilor at-large, per her campaign. Working families can trust her to fight for good jobs with good pay and benefits, strong public schools, affordable housing, and public safety, Baker said in a statement.
IBEW Local 2222 and Mass Voters for Animals have endorsed Mary Tamer for Boston City Council District 6, per her campaign.
Whats At Stake In Somervilles Mayoral Race? by Adam Reilly, GBH News: When it comes to who, exactly, calls Somerville home, the city has been changing for years, with Asian, Latino and Black residents comprising an increasingly large portion of the citys population of 80,000. Still, Somervilles mayors have always been white a streak Will Mbah hopes to break this fall. Current mayor Joseph Curtatone, who took office in 2004, decided not to seek a tenth term this November.
Twenty-eight proposed laws and two constitutional amendments have now been filed with the state attorney generals office, the first step in a lengthy and costly process to advance ballot initiatives that touch on everything from legalizing the sale of consumer fireworks, to voter identification laws, to classifying gig-economy workers as independent contractors.
The Boston Globes Emma Platoff details the Massachusetts GOPs effort to test opposition to critical race theory. The state GOP is also backing measures to preserve the lives of children born alive and to require voters to present identification at the polls, a topic that drew multiple petitions.
The Boston Heralds Erin Tiernan reports on a ballot question that would attempt to roll back the contentious Transportation Climate Initiative. That petition was filed by Republicans including GOP gubernatorial candidate Geoff Diehl, and Democratic state Rep. Colleen Garry. Its also backed by the conservative-leaning Massachusetts Fiscal Alliance.
Another initiative petition aims to bring back some long-banned happy hour drink specials a topic of recently renewed debate.
Most of the proposed questions are unlikely to make it to the 2022 ballot, reports CommonWealth Magazine, noting that even if they pass muster on constitutional grounds with Attorney General Maura Healeys office, they would still require the gathering of more than 93,000 voter signatures, a time-consuming and expensive process. The AG's office plans to publish a list of certified petitions on Sept. 1.
Speaking of the 2022 ballot: Watchdogs blast Massachusetts millionaire tax proposal as state awash in excess tax revenues, by Erin Tiernan, Boston Herald: Fiscal watchdogs blasted the Massachusetts millionaire tax proposal as the state is awash in more than $5 billion in excess tax revenues and billions more in federal coronavirus relief."
About the 2020 ballots: Geoff Diehl calls for forensic audit of possible irregularities in Massachusetts 2020 election, by Erin Tiernan, Boston Herald: Republican candidate for governor Geoff Diehl has challenged Gov. Charlie Baker to conduct a forensic audit to investigate possible irregularities during last years election. Diehl also pledged to combat the extension of mail-in voting parameters.
Sens. Elizabeth Warren, Ed Markey and Martin Heinrich (D-N.M.) are seeking a national memorial day to commemorate the more than 614,000 people who have died from Covid-19 in the United States and those still suffering from the virus. The senators introduced a resolution yesterday proposing that the first Monday in March be designated as Covid-19 Victims and Survivors Memorial Day. More from the Washington Posts William Wan.
Trahan touts 'forever chemicals' cleanup bill, by Christian M. Wade, CNHI/Eagle-Tribune: Communities would receive money to help clean up the forever chemicals contaminating their drinking water and sewage treatment systems under a plan working its way through Congress.
Mexico sues U.S.-based gunmakers over flow of arms across border, by Mary Beth Sheridan and Kevin Sieff, Washington Post: The Mexican government sued several major U.S.-based gun manufacturers Wednesday, alleging that lax controls contribute to the illegal flow of weapons over the border. The unusual suit filed in U.S. federal court in Boston seeks unspecified financial compensation from the companies but does not target the U.S. government.
A message from The Massachusetts Coalition for Independent Work:
The Massachusetts Coalition for Independent Work is dedicated to securing flexibility in scheduling, providing new benefits including healthcare stipends, paid sick time, paid family & medical leave and occupational accident insurance and guaranteeing an earnings floor for all app-based drivers in Massachusetts.
We're banding together with drivers, community partners and elected officials to protect the flexibility and independence that drivers value, while expanding their benefits.
Learn more, and join our advocacy for independent workers.
Chelsea, Revere and Winthrop Investigate How Climate Change Impacts Most Vulnerable Populations, by Phillip Martin and Hannah Reale, GBH News: Chelsea, Revere and Winthrop are launching a cooperative project to understand how climate change will specifically affect low income residents, people of color and other vulnerable residents. Ultimately, the aim is to find gaps in the regions approach to combating climate change, centered first and foremost around the communities likely to be most affected by it, and then form recommendations about how to take them on.
Safety Steps Required of Donors To Attend Baker Fundraiser, by Colin A. Young, State House News Service (paywall): Anyone attending the outdoor fundraiser on Sept. 2 for [Gov. Charlie] Baker and Lt. Gov. Karyn Polito at public relations maven George Regan's home at the Willowbend Country Club in Mashpee is asked to be vaccinated against COVID-19 or to get tested for the virus 48 hours ahead of the bash.
Maybe he heard Baker: Obama Significantly Scales Back 60th Birthday Party as Virus Cases Rebound, by Annie Karni, New York Times: The party plans had been months in the making and many invitees had already arrived on Marthas Vineyard when former President Barack Obama belatedly announced he was canceling his huge 60th birthday bash scheduled for Saturday."
Former Gov. Deval Patrick On Cuomo Allegations: There Does Have To Be A Reckoning, by Greater Boston staff: [Former Gov. Deval] Patrick did not call outright for Gov. Cuomo to resign, but said the allegations should be taken seriously. These are very very serious charges from a very credible source, he said. There does have to be a reckoning. If my opinion counts for anything, hell take these allegations seriously and not dismiss them out of hand.
TRANSITIONS Robyn Kenney joins the Diehl campaign as communications director. Janey appointed Dr. Alison Brizius as commissioner for Bostons Environment Department.
HAPPY BIRTHDAY to former ambassador, Biden deputy campaign manager, MA-03 candidate and current chief of protocol nominee Rufus Gifford; Christina Pacheco, and Jim Puzzanghera of the Boston Globes D.C. bureau.
Want to make an impact? POLITICO Massachusetts has a variety of solutions available for partners looking to reach and activate the most influential people in the Bay State. Have a petition you want signed? A cause youre promoting? Seeking to increase brand awareness among this key audience? Share your message with our influential readers to foster engagement and drive action. Contact Jesse Shapiro to find out how: [emailprotected].
Originally posted here:
Data Mining Tools Market Will Create Highest Returns by 2027 along with COVID-19 Analysis The Shotcaller – The Shotcaller
The whole situation that determines product demand is covered in this Data Mining Tools marketreport, including constraints, drivers, recent events, restraints, technological innovations, and opportunities for companies. For newcomers to the industry, the present conditions, industrial analysis, and program effectiveness depicted in this Data Mining Tools market report are extremely useful. This Data Mining Tools market report provides an exhaustive current assessment, stating to upcoming approximations and the market setting, to include a comprehensive overview of market evolution. Profitability, industry turnover, and progress are also highlighted in this research. This Data Mining Tools market report also undertakes projects in the area in North America, Latin America, Europe, Asia Pacific, the Middle East, and Africa, among other places.
Get Sample Copy of Data Mining Tools Market Report at:https://www.globalmarketmonitor.com/request.php?type=1&rid=637727
This Data Mining Tools market report sets company objectives to assist industry participants in avoiding assumptions that are incompatible. It gives client data as well as their demands, allowing important industry leaders to plan for the products release in the benefits of economic growth. It contains all of the information concerning the entire market position. The market report contains key evidence and precise data about just the market. It assists organizations to achieve their strategies by supplying all market economic expansion data. This Data Mining Tools market report covers the dealings just as exchanges, which are occurred on the lookout. Subsequently, buyers, venders, providers and customers take the assistance of market report to think about market altogether. It examines about selling and purchasing of the particular item on the lookout.
Key global participants in the Data Mining Tools market include:OracleSAP SESAS InstituteIBM CorporationMicrosoft CorporationIntel
Inquire for a discount on this Data Mining Tools market report at:https://www.globalmarketmonitor.com/request.php?type=3&rid=637727
Market Segments by Application:BFSIHealthcare and Life SciencesTelecom and ITGovernment and DefenseEnergy and UtilitiesManufacturingOthers
On the basis of products, the various types include:On-premisesCloud
Table of Content1 Report Overview1.1 Product Definition and Scope1.2 PEST (Political, Economic, Social and Technological) Analysis of Data Mining Tools Market2 Market Trends and Competitive Landscape3 Segmentation of Data Mining Tools Market by Types4 Segmentation of Data Mining Tools Market by End-Users5 Market Analysis by Major Regions6 Product Commodity of Data Mining Tools Market in Major Countries7 North America Data Mining Tools Landscape Analysis8 Europe Data Mining Tools Landscape Analysis9 Asia Pacific Data Mining Tools Landscape Analysis10 Latin America, Middle East & Africa Data Mining Tools Landscape Analysis11 Major Players Profile
New advances are additionally introduced in this Data Mining Tools market report to get total edge over the rest. Various industry boundaries are additionally concentrated under factual examination in this Data Mining Tools market report. Moreover, it likewise centers around doing examination between various topographical business sectors. It additionally centers around some significant locales of the worldwide market like North America, Europe, Asia Pacific, Latin America and Middle East & Africa. Further it clarifies market pattern of that specific item moreover. It portrays the impacts of wellbeing emergency, COVID-19 on various ventures. Littlest insights concerning market are given to do right interest on the lookout. Realizing clients is the most ideal approach to give them what they need and this Data Mining Tools market report gives exact data about clients. Principle focal point of this market research is to conjecture about market development during the year 2021-2027.
Data Mining Tools Market Intended Audience: Data Mining Tools manufacturers Data Mining Tools traders, distributors, and suppliers Data Mining Tools industry associations Product managers, Data Mining Tools industry administrator, C-level executives of the industries Market Research and consulting firms
The data is emphasized at the national level to show how sales, volume, and earnings differ by location. It illustrates the probable shortfalls and challenges that several major businesses are facing. This study also involves a full analysis of the next price movements from 2021 to 2027, and therefore a compounded calculation of the programs financial budget and profit, as well as important players. With the aid of this inclusive learning, one can voluntarily acquire knowledge about the significances of COVID-19 on industry expansion.
Get More Industry Information on Global Market Monitor:Dental Polishing Lathes Market Reporthttps://www.globalmarketmonitor.com/reports/528570-dental-polishing-lathes-market-report.html
Automotive Catalytic Converters Market Reporthttps://www.globalmarketmonitor.com/reports/618954-automotive-catalytic-converters-market-report.html
Cardiovascular Medical Devices Market Reporthttps://www.globalmarketmonitor.com/reports/563635-cardiovascular-medical-devices-market-report.html
Wire Loop Snare Market Reporthttps://www.globalmarketmonitor.com/reports/505675-wire-loop-snare-market-report.html
Liver Cirrhosis Therapeutics Market Reporthttps://www.globalmarketmonitor.com/reports/544235-liver-cirrhosis-therapeutics-market-report.html
Argon Ion Lasers Market Reporthttps://www.globalmarketmonitor.com/reports/469549-argon-ion-lasers-market-report.html
See the original post:
Zero-carbon bitcoin? The owner of a Pennsylvania nuclear plant thinks it could strike gold – The Philadelphia Inquirer
Could bitcoin mining be the salvation of the embattled nuclear energy industry in America?
The owners of several nuclear power plants, including two in Pennsylvania, have formed ventures with cryptocurrency companies to provide the electricity needed to run computer centers that mine bitcoin. Since nuclear energy does not emit greenhouse gases, the projects investors say, the zero-carbon bitcoin would address climate concerns that have tarnished the energy-intensive cryptocurrency industry.
Talen Energy, the owner of the Susquehanna Steam Electric Station near Berwick, Pa., announced this week that it has signed a deal with TeraWulf Inc., an Easton, Md. cryptocurrency mining firm, to build a giant bitcoin factory next to its twin reactors in northern Pennsylvania. The first phase of the venture, dubbed Nautilus Cryptomine, could cost up to $400 million.
Talens project could eventually use up to 300 megawatts or 12% of Susquehannas 2,500 MW capacity. Its the second bitcoin-mining venture in the last month that involves owners of Pennsylvania nuclear facilities.
Last month Energy Harbor Corp., the former power-generation subsidiary of First Energy Corp., announced it signed a five-year agreement to provide zero-carbon electricity to a new bitcoin mining center operated by Standard Power in Coshocton, Ohio. Energy Harbor owns two nuclear units in Ohio and the twin-unit Beaver Valley Power Station in Western Pennsylvania.
A nuclear fission start-up, Oklo, also announced last month it signed a 20-year deal with a bitcoin miner to supply it with power, though the company has not yet built a power plant.
In recent years, commercial nuclear operators have struggled to compete in competitive electricity markets against natural gas plants and upstart renewable sources such as wind and solar. Unfavorable market conditions have hastened the retirements of several single-unit reactors, such as Three Mile Island Unit 1 in Pennsylvania. Lawmakers in New Jersey, New York and Illinois have enacted nuclear bailouts, paid by electricity customers, to stave off early retirement for other plants.
The cryptocurrency deals would provide nuclear generators with reliable outlets for their power, and bitcoin miners with predictable sources of power at cheap prices, along with a zero-carbon cachet.
Nuclear energy is uniquely positioned to provide power to crypto mining companies and other major energy users who have committed to a carbon-free future, John Kotek, senior vice president of policy development and government affairs at Nuclear Energy Institute, said in an email.
The nuclear industry views the crypto craze not as a crutch but as a launching pad for expansion. U.S. nuclear power plants are ready and able to supply miners with abundant, reliable carbon-free power while also providing new business pathways for the nuclear developers and utilities, increasing their operating profits, and potentially accelerating the deployment of the next generation of reactors, Kotek said.
Nuclear producers arent the only power generators getting in on the trend. Stronghold Digital Mining, a bitcoin miner that registered last month for a $100 million initial stock offering, plans to build its bitcoin mining operation in northwestern Pennsylvania, powered from Venango County waste coal. While its bitcoin would not be zero-carbon, it would reduce environmentally harmful piles of waste coal.
Energy and cryptocurrency experts say several trends are shifting the market in favor of U.S. nuclear power producers.
In May, Chinese regulators announced new measures to limit bitcoin mining in several regions that failed to meet Beijings energy-use targets. Bitcoin production levels have fallen since then, forcing bitcoin producers to relocate to places with low operating costs and cool climates to reduce the costs of cooling the bitcoin data centers. The state of Washington, which has lots of inexpensive hydroelectric power, has undergone a huge boom in bitcoin mining.
Bitcoin is a peer-to-peer virtual currency, operating without a central authority, and which can be exchanged for traditional currency such as the U.S. dollar. It is the most successful of hundreds of attempts to create virtual money through the use of cryptography, the science of making and breaking codes hence, they are called cryptocurrency.
Bitcoin mining is built around blockchain technology, and it involves generating a string of code that decrypts a collection of previously executed bitcoin transactions. Successful decryption is rewarded with a new bitcoin. The supply of bitcoins is limited to 21 million nearly 90% have already been mined. So the remaining bitcoins become increasingly scarce and more difficult to extract.
Data centers operated by bitcoin miners randomly generate code strings, called hashes, to solve the puzzle and earn new coins. Worldwide, miners on the bitcoin network generate more than 100 quintillion hashes per second thats 100,000,000,000,000,000,000 guesses per second, according to Blockchain.com. The first phase of the Nautilus project in Pennsylvania would generate five quintillion hashes per second.
Such guesswork requires muscular computing power, robust internet connections, and lots of electricity. Smaller bitcoin miners have teamed up in consortiums to pool their computing power. Bigger players have built huge data centers devoted exclusively to producing lines of random code.
Mining cryptocurrency is an international, profitable, and energy-intensive business, ScottMadden a management consulting firm, said in a paper it published last year. Bitcoin mining consumes an estimated 0.5% of the electricity produced worldwide or about as much as the country of Greece.
Some lawmakers have called for greater regulation of cryptocurrency, citing the enormous amount of resources required to produce it. There are computers all over the world right now spitting out random numbers around the clock, in a competition to try to solve a useless puzzle and win the bitcoin reward, Sen. Elizabeth Warren (D., Mass.) said in June, calling for a crackdown on environmentally wasteful cryptocurrencies.
But as a business proposition, bitcoin has appeal. ScottMadden, the consulting firm, suggested last year that nuclear operators in some states were in a unique position to profit from cryptocurrency ventures.
Diverting 1 megawatt of power to an efficient mining operation could conservatively generate top-line revenue of $900,000 a year and profits of $650,000, not accounting for cooling, repairs, or technicians, according to ScottMadden. Its analysis predicts that a project could break even in about 15 months.
The consulting firms conceptual project was based upon a bitcoin price of $9,275. The price of a bitcoin last week varied between $38,000 and $42,000.
Such numbers no doubt got the attention of Talen Energy, which plans to divert about 180 MW to the first phase of the Nautilus Cryptomine, which would be producing bitcoin at the Susquehanna plant in Luzerne County.
I think its a great opportunity for our plant, said Dustin Wertheimer, vice president and divisional chief financial officer of Talen Energy. He is based in Allentown, home to Talens previous owner, PPL Corp. Talen is now based in the Woodlands, Texas.
Unlike other crypto projects in which the power generator is an arms-length electricity supplier, the Nautilus Cryptomine is a 50-50 venture between Talen and TeraWulf. The project would be directly connected to the Susquehanna plant behind the meter, in industry parlance and would avoid any transmission costs from the grid.
The direct connection also guarantees that the operation is sourced exclusively with carbon-free energy, Wertheimer said.
Youve seen some of the press and the negative publicity that bitcoin has received recently and the impact of fossil fuel, Wertheimer said. So thats a great thing for us to have a direct connection into a carbon-free power source.
The cryptomine would be located inside a 200,000-square-foot building about four football fields. The mining operation would be built on a data center campus that Talen is developing next to the Susquehanna plant. The data center would generate about 1,000 construction jobs, Wertheimer said. The cryptomine would employ about 50 people to operate.
The first phase of the project would cost about $350 million to $400 million. The Nautilus venture is negotiating with fiber-optic providers to bring in super-charged internet connections required to transmit and receive the huge amounts of code it generates, Wertheimer said.
As you look across the United States, and you look at kind of the challenges that are facing nuclear plants, I think this is a great opportunity to prolong the life of a lot of plants, he said.
The Future of Work is produced with support from the William Penn Foundation and the Lenfest Institute for Journalism. Editorial content is created independently of the projects donors.
Original post:
What Is Process Mining (and Why Isn’t It Enough)? – IDM.net.au
Businesses live by their processesthe prescribed sets of actions their employees take to get things done. When processes run well, the business runs well. When processes run poorly, the business risks a host of hazards, from loss of revenue to customer dissatisfaction to compliance violations. Most businesses have a general idea of how their processes should run, but lack insight into the day-to-day details of execution. Without this insight, how can they make improvements that yield real results?
Process mining offers one solution, and for many years it served businesses well. However, in todays increasingly complex environment and amid growing pressure to do morefaster and at lower costsorganizations need more intelligent solutions.
In this article, well explore what process mining is, what it can (and cant) do for businesses looking to optimize their processes, and how Process Intelligence offers a more effective approach.
What is process mining
Process mining uses actual data from information systems to create a model that accurately reflects how a process executes.
Applications such as CRM and ERP systems, as well as other systems of record, automatically create event logs that record every action taken. The data in these logs can be collected, or mined, to create an audit trail of the processes the applications are involved in. This works even when multiple applications are used in a single process. Process mining technology follows these audit trails to build a process model showing the details of the end-to-end process, as well as variations. Business users can analyze these models to find out if the processes are functioning as they should and, if not, investigate the root causes of deviations from the optimal path.
How process mining works
Before process mining, the only way for businesses to analyze the performance of their processes was through interviews with business users and manual data reviewsa slow, tedious undertaking with a high margin of error. Process mining allows organizations to leverage automation to paint accurate pictures of real-world process performancefaster, easier, and more accurately than manual approaches.
Where process mining falls short
Process mining offers enormous advantages over manual approaches to process analysis, but it has its limitations. For example:
How Process Intelligence bridges the gap
A new generation of process analytics solutions goes beyond traditional process mining.Process Intelligencecombines BI-like metrics with a set of process-specific analytics to offer detailed insights into complex processes from end to end. Unlike traditional process mining, Process Intelligence enables businesses to view their processes in real time and analyze patterns that lead to bottlenecks or disruptions.
Here are the top four advantages Process Intelligence offers over traditional process mining:
1. Timeline-based analysis
Process mining uses the schema method of process analysis, which involves converting process data into a flowchart (schema) and then analyzing the flow of all iterations through that schema. The shortcoming of this approach is that few business processes fit into a well organized flowchart. By the time all valid variations to a process are considered, the schema often becomes a tangled mess with limited usefulness.
By contrast, Process Intelligence uses atimeline approach, which creates an unfiltered, unedited history of every process iteration from beginning to end. These timelines are then analyzed so that they can be compared, filtered, searched, aggregated, etc., similarly to how a BI application analyzes records in a table. The timeline approach offers complete visibility into the process from end to end, even when some steps are performed using multiple systems. And the numerical analysis approach of Process Intelligence, as compared to the schema-centric approach of process mining, works equally well on all types of processes, as compared to basic process mining that only works well on processes with little variability in terms of the sequence of steps.
2. Continuous improvement
Traditional process mining is focused on looking at historical data. While this approach can offer valuable insights into what worked well and what didn't, it falls short of offering solutions for present and future iterations.
Process Intelligencemonitors processeswith new data coming inreal and near-real time, watching every iteration and alerting process owners for deviations that could cause delays or other problems. By enabling continuous improvement, Process Intelligence continues to deliver ROI as businesses capitalize on new opportunities to make processes work faster and smarter.
3. Reduces compliance risks
When businesses run traditional process mining applications, users can review the output to identify present and past deviations that could lead to compliance issues. This approach relies on the expertise of the users reviewing the data.
Process Intelligence enables users to define process rules that align with the organizations compliance requirements and to instruct the system to watch for violations. When one or more of those rules is broken, the system alerts users right away, enabling them to take immediate action to rectify the deviation and to ensure that it will not happen again. Process Intelligencealerting rulescan also be defined to call a service when an alert is triggered, to automatically deal with the problem. This capability can mean the difference between discovering an issue just in time, before it affects a business compliance status, and finding it when it is too late to be fixed and has already caused problems elsewhere in the workflowor worse, learning about it after a violation has been reported.
4. RPA enhancements
According to Ernst & Young, between30 and 50 percent of initial robotic process automation (RPA) projects faildue to lack of quantifiable process data. As businesses deploy RPA for more intricate processes in more complex environments, the pressure to deliver positive ROI has increased dramatically, and traditional process mining can offer only limited support in yielding the returns that businesses are seeking.
Fortunately, Process Intelligence can be just as valuable to digital workers (RPA "bots") as it is to human employees. Todays Process Intelligence solutions can includeprocess mining and task mining. As with process mining, task mining is looking for the significant events in a process. Task mining adds the ability to record a users manual actions on their computer to capture manual process steps to be used alongside the steps gleaned from system of record log files. By applying Process Intelligence to manual as well as automated processes, businesses uncover new opportunities to improve RPA results:
Why Process Intelligence is the future of process improvement
For many years, process mining applications served process owners well, saving countless manual hours and helping businesses discover opportunities for improvement. Process Intelligence provides a new approach to process improvement that improves on process mining. Process Intelligence works with all processes, simple and highly variable, manual and automated. Process Intelligence will monitor every process instance as each new step occurs, alerting or even taking automated action whenever a process behavior of interest is seen.
Process Intelligence supports RPA initiatives by identifying good automation candidates and then monitoring and reporting on the process that bots participate in. Process improvement can now reach a new level in delivering on its promises of greater productivity, reduced risk of costly compliance violations, and the streamlined efficiency that can create happier customers, happier employees, and a greater competitive edge.
Ready to leverage the data you already have for business process improvement? Click the button below to get started.
Request trial
See the original post:
What Is Process Mining (and Why Isn't It Enough)? - IDM.net.au
Data Mining Software Market is Projected to Increase at a Considerable Rate with COVID-19 Impact The Shotcaller – The Shotcaller
This Data Mining Software market report, further briefs on a wide scope of information for aiding industry players to make its presence in this worldwide market. It likewise catches the impact of monetary set-up on possibilities in key extension sections. This remarkable market study report portrays pertinent market information including new stages, advancements and devices presented on the lookout. This report can be utilized as an ideal apparatus by players to get practical edge over contenders. It likewise guarantees enduring accomplishment to ventures. Also, reliable sources are utilized here to approve and revalidate the data referenced here. Industry based and novel exploration is performed by investigators to give exhaustive data about market advancement.
Get Sample Copy of Data Mining Software Market Report at:https://www.globalmarketmonitor.com/request.php?type=1&rid=642852
Furthermore, the results and information in this Data Mining Software market report were acquired from reputable sources. This market reports coarse data can help you anticipate future revenue and make financial decisions. Market research and extensive market studies are undertaken to provide up-to-date facts on the company situation and industry trends. By offering specifics in the form of compelling data visualization, this market research extends beyond the Markets basic structure. This research study provides a detailed image of prospective growth strategies, restraints, key competitors, period preceding, and market size by region and area for the forecasting period 2021-2027.
Major enterprises in the global market of Data Mining Software include:IBMRapidMinerSalford SystemsAptecoOracleLexalyticsGMDHSAS InstituteUniversity of Ljubljana
Ask for the Best Discount at:https://www.globalmarketmonitor.com/request.php?type=3&rid=642852
On the basis of application, the Data Mining Software market is segmented into:Large EnterprisesSmall and Medium-sized Enterprises (SMEs)
Type Synopsis:Cloud-basedOn-premises
Table of Content1 Report Overview1.1 Product Definition and Scope1.2 PEST (Political, Economic, Social and Technological) Analysis of Data Mining Software Market2 Market Trends and Competitive Landscape3 Segmentation of Data Mining Software Market by Types4 Segmentation of Data Mining Software Market by End-Users5 Market Analysis by Major Regions6 Product Commodity of Data Mining Software Market in Major Countries7 North America Data Mining Software Landscape Analysis8 Europe Data Mining Software Landscape Analysis9 Asia Pacific Data Mining Software Landscape Analysis10 Latin America, Middle East & Africa Data Mining Software Landscape Analysis11 Major Players Profile
This Data Mining Software market report divides the market into several categories, such as segmentation variables and geographic segmentation, which also include North America, Europe, the Middle East, Latin America, and Asia Pacific. It also offers insight on the worldwide economic downturn brought on by the COVID-19 epidemic. This pandemic had a significant impact on both the demand and supply sides, causing significant interruptions in company growth. This Data Mining Software market study will focus on the dangers that businesses face and how to cope with them. It assists you in understanding your companys market position. By giving a prediction for the years 2021-2027, it assists major players in introducing new goods to market. By giving all relevant data on market competitiveness, company methods, important value proposition, and the overall market landscape, market research study allows business operators to stay inventive and up to date. Solid measures offered here will considerably assist new entrants in expanding their market operation.
In-depth Data Mining Software Market Report: Intended AudienceData Mining Software manufacturersDownstream vendors and end-usersTraders, distributors, and resellers of Data Mining SoftwareData Mining Software industry associations and research organizationsProduct managers, Data Mining Software industry administrator, C-level executives of the industriesMarket Research and consulting firms
The negative consequences of the COVID-19 epidemic on nearly all business sectors are also depicted in this Data Mining Software market report. It gives industry participants vital information regarding business limits, such as deal methods, new industry breakthroughs, and evaluating structure. This market study also explains the market scope, development outlook, drivers, component analysis, and overall revenue. Industry trends, tactics, and processes are implemented by market contributors. This Data Mining Software market report is the best guide for new companies since it gives customers knowledge into market conditions, historic deals, new product developments, and pricing strategies. It goes on to classify the marketplace and provide analysis by product category, region, and organization size. This market analysis report explains the market size, future trends, factors, segment evaluation, and emerging markets for the forecast period of 2021-2027. A few key elements are also highlighted here to assist businesses in achieving significant business advantages. Aside from that, the Data Mining Software market report goes on to include important data gathered from trustworthy sources. It does a thorough industry analysis in order to comprehend company strategies and assist business participants in strengthening their position in the global market.
Global Market MonitorOne Pierrepont Plaza, 300 Cadman Plaza W, Brooklyn,NY 11201, USAName: Rebecca HallPhone: + 1 (347) 467 7721Email: info@globalmarketmonitor.comWeb Site: https://www.globalmarketmonitor.com
More:
The global graph database market size to grow from USD 1.9 billion in 2021 to USD 5.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of…
during the forecast period. Various factors such as. need to incorporate real-time big data mining with visualization of results, increasing adoption for AI-based graph database tools and services to drive market, and growing demand for solutions that can process low-latency queries are expected to drive the adoption of graph database solutions and services.
New York, Aug. 06, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Graph Database Market with COVID-19 Impact Analysis, By Type, Application, Component, Deployment Mode, Vertical And Region - Global Forecast to 2026" - https://www.reportlinker.com/p05436929/?utm_source=GNW
COVID-19s global impact has shown that interconnectedness plays an important role in international cooperation. As a result, several governments started rushing toward identifying, evaluating, and procuring reliable solutions powered by AI. graph databases and AI are invaluable to organizations managing uncertainty in real-time, but most predictive models rely on historical patterns. The use of graph database and AI has accelerated in the COVID-19 pandemic period. This has helped organizations engage customers through digital channels, manage fragile and complex supply chains, and support workers through disruption to their work and lives. New practices, such as work from home and social distancing, have led to the requirement of graph database solutions and services and the development of digital infrastructures for large-scale technology deployments. The COVID-19 pandemic in 2020 brought accelerating changes in consumer preferences and behaviors and putting pressure on brands to keep pace and provide a personalized customer experience. Enterprises have witnessed a reduction in their operational spending and are now focusing more on business continuity and sustainability.
Technology and service providers have been facing significant disruption to their businesses from COVID-19. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.
The cloud segment to have the largest CAGR during the forecast periodBy deployment mode, the graph database market has been segmented into on-premises and cloud.The CAGR of the cloud deployment mode is estimated to be the largest during the forecast period.
The cloud-based deployment helps businesses more efficiently process and report data findings, enhance collaboration, and enable decision-makers to get faster access to business intelligence leading to its higher adoption in the graph database market.
The SMEs segment to hold higher CAGR during the forecast periodThe graph database market has been segmented by organization size into large enterprises and SMEs.The market for SMEs is expected to register a higher CAGR during the forecast period as cloud-based solutions and services help them improve business performance and enhance productivity.
Whereas the large enterprises segment is expected to hold a larger market share in the graph database market during the forecast period due to the affordability and the acceptance of emerging technologies.
Among regions, APAC to hold higher CAGR during the forecast periodAPAC is expected to grow at a good pace during the forecast period.Opportunities for smaller graph database vendors to introduce graph database solutions for numerous sectors have also increased.
All these factors are responsible for the expeditious growth of the graph database market in the region.Companies operating in APAC continue to focus on improving customer services to drive market competitiveness and revenue growth.
China, Japan, and AnZ have displayed ample growth opportunities in the graph database market.
Breakdown of primariesIn-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the graph database market. By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20% By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40% By Region: APAC: 30%, Europe: 30%, North America: 25%, MEA: 10%, Latin America: 5%The report includes the study of key players offering graph database solutions and services.It profiles major vendors in the global graph database market.
The major vendors in the global graph database market include Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US).
Research CoverageThe market study covers the graph database market across segments.It aims at estimating the market size and the growth potential of this market across different segments, such as components, type, deployment mode, organization size, application, vertical, and region.
It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the ReportThe report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall graph database market and its subsegments.It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies.
It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.Read the full report: https://www.reportlinker.com/p05436929/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
__________________________
Story continues
Original post: