Category Archives: Data Mining
Smart Mining Market Expected to Witness High Demand, Provisions Associated with Smart Innovation Will Support Growth, Says Fortune Business Insights -…
Top Players in Smart Mining Market are Rio Tinto, Rockwell Automation, ABB Ltd., Trimble Navigation Ltd., Atlas Copco., Caterpillar Inc., Hitachi Construction Machinery, Komatsu Mining, Cisco Systems Inc., Siemens, Deloitte Intelligent Mining, SAP ERP, Bosch Global, Codelco, and Hitachi and Mining Solution.
Pune, India, Feb. 09, 2021 (GLOBE NEWSWIRE) -- Rising adoption of automation technology by companies across the globe is propelling growth for the smart mining market says Fortune Business Insights in a report, titled Smart Mining Market Size, Share and Global Trend By Type (Surface Mining, Underground Mining), By Component (Automated Equipment, Hardware, Software, Services) and Geography Forecast till 2026. Digital transformation in mining is is enabling growth in the smart mining market.
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Smart Innovation in Mining Will Contribute to Growth
Technology used in the mining industry is changing due to rising demand for enhanced safety, productivity, and sustainability. Companies around the world are adopting automated technologies in order to improve their operation and gain better control on real-time data. Mining companies are implementing smart technologies for mining and distribution of commodities for satisfying worldwide demand for natural resources. This factor is encouraging companies which in turn is driving the global smart mining market. Automation in smart mining increases the overall productivity and efficiency of mining, this factor is leading companies towards the implementation of automation in mining. In addition, acquisition by key players is further boosting the global smart mining market. For Instance, Australian based gold mining company, Resolute Mining, is building worlds first fully automatic underground mine to begin production in South Africa which includes driverless trucks, loaders and drills at the $US223 million.
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Higher Productivity in Smart Mining Will Facilitate Growth
Smart mining market on the basis of type is segmented into, surface mining and underground mining, and automated equipment. Automated equipment is the most popular one due to its ability to evade unnecessary man hours by implying load haul dump, excavators, drill, breakers, and others, for extracting minerals laying on rock or soil. Underground mining is carried out to recover valuable metals such as silver, gold, diamond, nickel, minerals, and zinc. For safe and easy operation digitalization of mining activities are necessary. The use of hardware and software solution, assisting in monitoring the overall mining with minimal labor-intensive interference is a factor propelling the growth of the global smart mining market. Application of automation in mining offers better control and higher productivity. This factor is fueling demand for smart mining among companies and enabling growth of the global smart mining market. The advancement of technologies used in mining empowers employees, promote safety and maintains a healthy environment by building a durable socio-economic relation which improves the overall growth of the company. The aforementioned factors along with the vibrant advantages of smart mining are predicted to promote growth of the global smart mining market.
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The other highlights of the report include:
Detailed individual and collective study of all the market segments;
Thorough analysis of the factors driving and retarding market growth;
Comprehensive assessment of the regional developments influencing the market; and
In-depth profiling and examination of the key market players and their dominant strategies.
North America to remain Dominant in the Global market
Geographically, the global smart mining market is segmented into North America, Europe, Asia Pacific, Latin America, the Middle East & Africa. Mining in North America has been practiced since the 19th century at the colonial era and it still continues to grow with discoveries of minerals in the region. North America is a prominent producer of bauxite, iron, copper, coal and nickel. North America is predicted to dominate the global smart mining market during the forecast period, owing to the various industries induced in discovering minerals and providing jobs throughout the continent. Asia-pacific is a leading producer metal ore and metals. The region holds the biggest coal reserves in the world Besides Australia, which is the second largest producer of lead, lithium and gold. The adoption of automation and digitalization in mining is expected to foster growth opportunities for the smart mining market during the forecast period.
The highly recognized companies in the smart mining are Rio Tinto, Rockwell Automation, ABB Ltd., Trimble Navigation Ltd., Atlas Copco., Caterpillar Inc., Hitachi Construction Machinery, Komatsu Mining, Cisco Systems Inc., Siemens, Deloitte Intelligent Mining, SAP ERP, Bosch Global, Codelco, and Hitachi and Mining Solution.
Regional Analysis for Smart Mining Market:
North America (the USA and Canada)
Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)
Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
Latin America (Brazil, Mexico and Rest of Latin America)
Some of the Key Questions Answered in this Report:
Detailed Overview of Smart Mining Market will help deliver clients and businesses making strategies.
Influencing factors that are thriving demand and latest trends running in the market.
Smart Mining Market forecast for global market split into segments like region, product, applications, end-user, technology, etc.
What trends, challenges and barriers will impact the development and sizing of the Global Smart Mining Market?
SWOT Analysis of each defined key player along with its profile and Porters five forces analysis to complement the same.
What is the Smart Mining Market growth momentum or market carries during the forecast period?
Which region may tap the highest market share in the coming era?
Which application/end-user category or Product Type may seek incremental growth prospects?
What focused approach and constraints are holding the Smart Mining Market demand?
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Have a Look at Related Research Insights:
Underground Mining Equipment Market Size, Share & Industry Analysis, By Equipment Type(Loaders, Trucks, Diggers, Others (Feeder Breakers, etc.)), By Application (Room and pillar mining, Borehole mining, Longwall mining, Others) and Regional Forecast, 2020-2027
Mining Automation Market Size, Share and Global Trend By Type (Underground Mining Automation, Surface Mining Automation), By Component (Equipment, Software, Communication System) and Geography Forecast till 2026
Mining Drills & Breakers Market Size, Share & Industry Analysis, By Type (Drills (Rotatory Drills, Crawler Drills), Breakers (Rock Breakers,Hydraulic Breakers)), By Application(Coal Mining, Mineral Mining, Metal Mining, Others (Gem Stone, Chalk etc.)) Others and Regional Forecast, 2019-2026
Mining Waste Management Market Size, Share & COVID-19 Impact Analysis, By Source (Surface Mining and Underground Mining), By Waste Type (Solid Waste {Waste Rock, Tailings, Others} and Liquid Waste), By Commodity (Mineral Fuels, Iron, Ferro Alloys, Industrial Minerals and Others) and Regional Forecast, 2020-2027
Space Mining Market Size, Share & Industry Analysis, By Phase (Spacecraft Design, Launch, Operation), By Asteroid type (Type C, Type S, Type M, Others), By Application (Construction, Resource Harvesting, 3D Printing, Others) and Regional Forecast, 2019-2026
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Competitive Landscape Data Mining Tools Market: Industry Outlook 2020-2026 by Key Companies, Trends, Market Segmentation & Growth Drivers – The…
A recent Updated study on the Global Data Mining Tools Market evaluates many aspects of the industry like the size, market status, key trends, and forecast 2026. the report also delivers brief information on the competitors and provides growth opportunities with key market drivers. Market segmentation by companies, region, and type is an integral part of this report. Historical data available in the report supports the Data Mining Tools Market development on a country level, regional and global. Based on these versatile information sets, market players in Data Mining Tools Industry can effectively deliver beneficial business decisions.
Global Data Mining Tools Market Report Highlights:
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The Data Mining Tools report specifically highlights the market share, company profiles, regional outlook, product portfolio, a record of the recent developments, strategic analysis, key players in the market, sales, distribution chain, manufacturing, production, new market entrants as well as existing market players, advertising, brand value, popular products, demand and supply, and other important factors related to the market to help the new entrants understand the market scenario better.
Major Key Players Covered in Report are:
Data Mining Tools Market Segmentation by Type:
Data Mining Tools Market Segmentation by Application:
Data Mining Tools Market Segmentation by Region:
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Analysis of Drivers, Restraints, Opportunities, and Trends of Data Mining Tools Market:
Drivers:
The Data Mining Tools market report in this section identifies dominant market drivers and favorable trends that leverage high-end growth, peculiar to the usual growth trajectory. The report in this section also unearths eminent demand possibility and customer inclination towards product and service consumption, thus effectively deciding growth prognosis across the timeline.
Restraints:
The Data Mining Tools market report also carefully identifies various restraining factors operational in the market and their limitations which directly interfere with the usual growth spurt.
Opportunities:
The following sections of the report evaluate the potential of existing Data Mining Tools market opportunities in growth diversification, besides also unraveling new avenues that further enhance growth likelihood.
Trend Estimation:
Relentless market developments and novelties also augment the growth route in several desirable ways that also reflect growth stability and sustainability in the forthcoming years.
In the last section of the report, the companies responsible for increasing the sales in the Data Mining Tools Market have been presented. These companies have been analyzed in terms of their manufacturing base, basic information, and competitors. In addition, the application and product type introduced by each of these companies also form a key part of this section of the report. The recent enhancements that took place in the global Data Mining Tools market and their influence on the future growth of the market have also been presented through this study.
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Key Answers Captured in Data Mining Tools Study are
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Big Data Markets, 2026: Data Volume and Variety, Increasing Adoption of Big Data by Enterprises and Telecom, Maturation of Big Data Software,…
DUBLIN, Feb. 8 2021 /PRNewswire/ -- The "Big Data Market by Leading Companies, Solutions, Use Cases, Infrastructure, Data Integration, IoT Support, Deployment Model and Services in Industry Verticals 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.
This report provides an in-depth assessment of the global big data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2021 to 2026. This report also evaluates the components of big data infrastructure and security framework.
This report also provides an analysis of leading big data solutions with key metrics such as streaming IoT data analytics revenue for leading providers such as Teradata, IBM, Oracle, SAS, and Datameter. The report evaluates, compares, and contrasts vendors, and provides a vendor ranking matrix. Analysis takes into consideration solutions integrating both structured and unstructured data.
Big data solutions are relied upon to gain insights from data files/sets so large and complex that it becomes difficult to process using traditional database management tools and data processing applications. The publisher sees key solution areas for big data as commerce, geospatial, finance, healthcare, transportation, and smart grids. Key technology integration includes AI, IoT, cloud and high-performance computing.
AI facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Some of the biggest opportunity areas are commercial applications, search in the big data environment, and mobility control for the generation of actionable business intelligence.
In terms of big data integration with cloud-based infrastructure, cloud solutions allow companies that previously required large investments into hardware to store data to do the same through the cloud at a lower cost. Companies save not only money but physical space where this hardware was previously stored. The trend to migrate to big data technologies is driven by the need for additional information derivable from analysis of all of the electronic data available to a business.
To realize the true potential to transform intelligence information from the huge amount of unstructured data, government agencies cannot leverage traditional data management technologies and DB techniques in terms of processing data. To understand patterns that exist in unstructured data, government agencies apply statistical models to large quantities of unstructured data.
Select Report Findings:
Key Topics Covered:
1.0 Executive Summary
2.0 Introduction2.1 Big Data Overview2.1.1 Defining Big Data2.1.2 Big Data Ecosystem2.1.3 Key Characteristics of Big Data2.2 Research Background2.2.1 Scope2.2.2 Coverage2.2.3 Company Focus
3.0 Big Data Challenges and Opportunities3.1 Securing Big Data Infrastructure3.1.1 Big Data Infrastructure3.1.2 Infrastructure Challenges3.1.3 Big Data Infrastructure Opportunities3.2 Unstructured Data and the Internet of Things3.2.1 New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools3.2.2 Big Data in IoT and Lightweight Data Interchange Format3.2.3 Big Data in IoT and Lightweight Protocols3.2.4 Big Data in IoT and Network Interoperability Protocols3.2.5 Big Data in IoT Data Processing Scalability
4.0 Big Data Technologies and Business Cases4.1 Big Data Technology4.1.1 Hadoop4.1.1.1 Other Apache Projects4.1.2 NoSQL4.1.3 MPP Databases4.1.4 Other Technologies4.2 Emerging Technologies, Tools, and Techniques4.2.1 Streaming Analytics4.2.2 Cloud Technology4.2.3 Search Technologies4.2.4 Customizes Analytics Tools4.2.5 Keywords Optimization4.3 Big Data Roadmap4.4 Market Drivers4.4.1 Data Volume and Variety4.4.2 Increasing Adoption of Big Data by Enterprises and Telecom4.4.3 Maturation of Big Data Software4.4.4 Continued Investments in Big Data by Web Giants4.4.5 Business Drivers4.5 Market Barriers4.5.1 The Big Barrier: Privacy and Security Gaps4.5.2 Workforce Reskilling and Organizational Resistance4.5.3 Lack of Clear Big Data Strategies4.5.4 Scalability and Maintenance Technical Challenges4.5.5 Big Data Development Expertise
5.0 Key Big Data Sectors5.1 Industrial Automation and Internet of Things5.1.1 Big Data in Machine to Machine Solutions5.1.2 Vertical Opportunities5.2 Retail and Hospitality5.2.1 Forecasting and Inventory Management5.2.2 Customer Relationship Management5.2.3 Determining Buying Patterns5.2.4 Hospitality Use Cases5.2.5 Personalized Marketing5.3 Digital Media5.3.1 Social Media5.3.2 Social Gaming Analytics5.3.3 Usage of Social Media Analytics by Other Verticals5.3.4 Internet Keyword Search5.4 Utilities5.4.1 Analysis of Operational Data5.4.2 Application Areas for the Future5.5 Financial Services5.5.1 Fraud Analysis, Mitigation & Risk Profiling5.5.2 Merchant-Funded Reward Programs5.5.3 Customer Segmentation5.5.4 Customer Retention & Personalized Product Offering5.5.5 Insurance Companies5.6 Healthcare5.6.1 Drug Development5.6.2 Medical Data Analytics5.6.3 Case Study: Identifying Heartbeat Patterns5.7 Information and Communications Technologies5.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization5.7.2 Big Data Analytic Tools5.7.3 Speech Analytics5.7.4 New Products and Services5.8 Government: Administration and Homeland Security5.8.1 Big Data Research5.8.2 Statistical Analysis5.8.3 Language Translation5.8.4 Developing New Applications for the Public5.8.5 Tracking Crime5.8.6 Intelligence Gathering5.8.7 Fraud Detection and Revenue Generation5.9 Other Sectors5.9.1 Aviation5.9.2 Transportation and Logistics: Optimizing Fleet Usage5.9.3 Real-Time Processing of Sports Statistics5.9.4 Education5.9.5 Manufacturing5.9.6 Extraction and Natural Resources
6.0 Big Data Value Chain6.1 Fragmentation in the Big Data Value Chain6.2 Data Acquisitioning and Provisioning6.3 Data Warehousing and Business Intelligence6.4 Analytics and Visualization6.5 Actioning and Business Process Management6.6 Data Governance
7.0 Big Data Analytics7.1 The Role and Importance of Big Data Analytics7.2 Big Data Analytics Processes7.3 Reactive vs. Proactive Analytics7.4 Technology and Implementation Approaches7.4.1 Grid Computing7.4.2 In-Database processing7.4.3 In-Memory Analytics7.4.4 Data Mining7.4.5 Predictive Analytics7.4.6 Natural Language Processing7.4.7 Text Analytics7.4.8 Visual Analytics7.4.9 Association Rule Learning7.4.10 Classification Tree Analysis7.4.11 Machine Learning7.4.12 Neural Networks7.4.13 Multilayer Perceptron7.4.14 Radial Basis Functions7.4.14.1 Support Vector Machines7.4.14.2 Naive Bayes7.4.14.3 K-nearest Neighbors7.4.15 Geospatial Predictive Modelling7.4.16 Regression Analysis7.4.17 Social Network Analysis
8.0 Standardization and Regulatory Issues8.1 Cloud Standards Customer Council8.2 National Institute of Standards and Technology8.3 OASIS8.4 Open Data Foundation8.5 Open Data Center Alliance8.6 Cloud Security Alliance8.7 International Telecommunications Union8.8 International Organization for Standardization
9.0 Big Data in Industry Vertical Applications9.1 Big Data Application in Manufacturing9.2 Retail Applications9.3 Big Data Application: Insurance Fraud Detection9.4 Big Data Application: Media and Entertainment Industry9.5 Big Data Application: Weather Patterns9.6 Big Data Application: Transportation Industry9.7 Big Data Application: Education Industry9.8 Big Data Application: E-Commerce Personalization9.9 Big Data Application: Oil and Gas Industry9.10 Big Data Application: Telecommunication Industry
10.0 Key Big Data Companies and Solutions10.1 Vendor Assessment Matrix10.2 Competitive Landscape of Major Big Data Vendors10.2.1 New Products Developments10.2.2 Partnership, Merger, Acquisition, and Collaboration10.3 1010Data (ACC)10.4 Accenture10.5 Actian Corporation10.6 AdvancedMD10.7 Alation10.8 Allscripts Healthcare Solutions10.9 Alpine Data Labs10.10 Alteryx10.11 Amazon10.12 Anova Data10.13 Apache Software Foundation10.14 Apple Inc.10.15 APTEAN10.16 Athena Health Inc.10.17 Attunity10.18 Booz Allen Hamilton10.19 Bosch10.20 BGI10.21 Big Panda10.22 Bina Technologies Inc.10.23 Capgemini10.24 Cerner Corporation10.25 Cisco Systems10.26 CLC Bio10.27 Cloudera10.28 Cogito Ltd.10.29 Compuverde10.30 CRAY Inc.10.31 Computer Science Corporation10.32 Crux Informatics10.33 Ctrl Shift10.34 Cvidya10.35 Cybatar10.36 DataDirect Network10.37 Data Inc.10.38 Databricks10.39 Dataiku10.40 Datameer10.41 Data Stax10.42 Definiens10.43 Dell EMC10.44 Deloitte10.45 Domo10.46 eClinicalWorks10.47 Epic Systems Corporation10.48 Facebook10.49 Fluentd10.50 Flytxt10.51 Fujitsu10.52 Genalice10.53 General Electric10.54 GenomOncology10.55 GoodData Corporation10.56 Google10.57 Greenplum10.58 Grid Gain Systems10.59 Groundhog Technologies10.60 Guavus10.61 Hack/reduce10.62 HPCC Systems10.63 HP Enterprise10.64 Hitachi Data Systems10.65 Hortonworks10.66 IBM10.67 Illumina Inc10.68 Imply Corporation10.69 Informatica10.70 Inter Systems Corporation10.71 Intel10.72 IVD Industry Connectivity Consortium-IICC10.73 Jasper (Cisco)10.74 Juniper Networks10.75 Knome, Inc.10.76 Leica Biosystems (Danaher)10.77 Longview10.78 MapR10.79 Marklogic10.80 Mayo Medical Laboratories10.81 McKesson Corporation10.82 Medical Information Technology Inc.10.83 Medio10.84 Medopad10.85 Microsoft10.86 Microstrategy10.87 MongoDB10.88 MU Sigma10.89 N-of-One10.90 Netapp10.91 NTT Data10.92 Open Text (Actuate Corporation)10.93 Opera Solutions10.94 Oracle10.95 Palantir Technologies Inc.10.96 Pathway Genomics Corporation10.97 Perkin Elmer10.98 Pentaho (Hitachi)10.99 Platfora10.100 Qlik Tech10.101 Quality Systems Inc.10.102 Quantum10.103 Quertle10.104 Quest Diagnostics Inc.10.105 Rackspace10.106 Red Hat10.107 Revolution Analytics10.108 Roche Diagnostics10.109 Rocket Fuel Inc.10.110 Salesforce10.111 SAP10.112 SAS Institute10.113 Selventa Inc.10.114 Sense Networks10.115 Shanghai Data Exchange10.116 Sisense10.117 Social Cops10.118 Software AG/Terracotta10.119 Sojern10.120 Splice Machine10.121 Splunk10.122 Sqrrl10.123 Sumo Logic10.124 Sunquest Information Systems10.125 Supermicro10.126 Tableau Software10.127 Tableau10.128 Tata Consultancy Services10.129 Teradata10.130 ThetaRay10.131 Thoughtworks10.132 Think Big Analytics10.133 TIBCO10.134 Tube Mogul10.135 Verint Systems10.136 VolMetrix10.137 VMware10.138 Wipro10.139 Workday (Platfora)10.140 WuXi NextCode Genomics10.141 Zoomdata
11.0 Overall Big Data Market Analysis and Forecasts 2021 - 202611.1 Global Big Data Marketplace11.2 Big Data Market by Solution Type11.3 Regional Big Data Market
12.0 Big Data Market Segment Analysis and Forecasts 2021 - 202612.1 Big Data Market by Management Utilities 2021 - 202612.2 Big Data Market by Functional Segment 2021 - 202612.3 Market for Big Data in Emerging Technologies 2021 - 202612.4 Big Data Market by Industry Type 2021 - 202612.5 Regional Big Data Markets 2021 - 2026
13.0 Appendix: Big Data Support of Streaming IoT Data
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What’s New in Civic Tech: Experts Call for Eviction Data – Government Technology
Housing and local gov advocates are calling for the collection and release of federal eviction data, noting that the U.S. government itself keeps little eviction data.
Specifically, this call was made by Yuliya Panfil,director of the Future of Land and Housing program at New America, and Lauren Lowery,program director for Housing and Community Development at the National League of Cities, in a recent piece posted byCityLab.
The conversation around increased federal eviction data comes as the Biden administration has extended the national eviction moratorium through the end of March. One of the central points in the piece is that in order to address an increasing number of eviction filings, local government agencies and adjacent organizations simply need better data around where these evictions may take place.
City leaders need granular, real-time information if they want to crack down on landlords who are turning tenants out illegally, or to equitably distribute the billions of dollars in rental assistance flowing down from the federal government, they wrote. If we are serious about stemming the tsunami of evictions predicted to hit once moratoriums lift, we must equip cities with the resources to fight.
New America also recently found that only one in three counties in the U.S. have no annual eviction figures available.
The call for the increase in data and specificity comes amid an ongoing culture change in local government, wherein leaders are increasingly making decisions based on specific and timely data. Essentially, the lack of eviction data stands in stark contrast to many of the modern local governance approaches, which rely increasingly on vast amounts of data.
Baltimore Mayor Brandon M. Scott created an open source tool to track progress made during his administrations first 100 days.
The creation of this tool comes after Scott convened more than 250 people to participate in his transition team. This group included community leaders, teachers, advocates, young people, artists, business owners and other residents. The idea was to help Mayor Scott develop both short and long-term recommendations for the next four years.
A mayoral executive team review of the plans resulted in an initiative called 100 Days of Action, consisting of 58 specific actions. The open source tool is aimed at tracking progress toward those actions, breaking them into three categories: completed, in progress and not yet started. These actions are also split into six priority areas, with those being building public safety, making Baltimore equitable, prioritizing youth, building public trust, COVID-19 recovery and responsible stewardship of city resources.
Its all bright and color-coded, which makes it easy to use. The tool was built by the Baltimore Office of Performance and Innovation.
Baton Rouge, La., has released a new open data policy report, which covers the citys efforts in that area last year and also looks ahead to plans for expansion in 2021.
Dubbed the 2020 Open Data Policy Report, the document is an annual creation by the Baton Rouge Department of Information Services. The report is created as part of a mandate by Baton Rouges open data policy, which was approved in late 2017.
You can find the report in full on the citys website.
Finally, Houston is looking to hire a chief data officer/enterprise data officer, with a new job posting that is up now.
The position is housed in the Houston Information Technology Services department, and its an executive-level position. The role is described as being responsible for enterprise-wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means.
Interested parties can apply online.
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What's New in Civic Tech: Experts Call for Eviction Data - Government Technology
Bioinformatics Market Competitive Insights, Production and Demand 2021-2027 | Thermo Fisher Scientific (US), Illumina (US), Agilent Technologies (US) …
The Bioinformatics Market research report is latest addition by Data Bridge Market Research offers in-depth analysis of the industry size, share, major segments, and different geographic regions, forecast for the next seven years, key market players, and premium industry trends. It also focuses on the key drivers, restraints, opportunities and industry challenges.A comprehensive report gives details about historic data, present market trends, future product environment, marketing strategies, technological innovation, upcoming technologies, emerging trends or opportunities, and the technical progress in the related industry. The report endows with market potential for each geographical region based on the growth rate, macroeconomic parameters, consumer buying patterns, their preferences for particular product and market demand and supply scenarios. Bioinformatics market report studies rising opportunities in the market and related influencing factors which are valuable for the businesses. It is an essential document for every market enthusiast, policymaker, investor, and market player.
Global Bioinformatics Market is expected to reach USD 26.33 billion by 2026 from USD 7.76 billion in 2018, at a CAGR of 16.5% in the forecast period 2019 to 2026. The new market report contains data for historic years 2017, the base year of calculation is 2018 and the forecast period is 2019 to 2026.
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The report emphasis on the Top Manufacturers in the world Bioinformatics market, with profits, losses, prices, production, and market share for each and every manufacturer, covering:
An international Bioinformatics report identifies and analyses the emerging trends along with major drivers, challenges and opportunities in the market for ABC industry. For a thriving business, it is quite essential to get knowhow of consumers demands, preferences, attitudes and their changing tastes about the specific product and this report is right there to solve this purpose. Furthermore, businesses can utilize the information included in this report to decide on their production and marketing strategies. A reliable Bioinformatics report is structured with the vigilant efforts of innovative, enthusiastic, knowledgeable and experienced team of analysts, researchers, industry experts, and forecasters.
Bioinformatics Market Segmentation:
Key Developments in the Market:
A science which is a combination of biology and information technology, connects biological data with techniques for storing information, distributing, and analyzing to support different areas of scientific research, including biomedicine known as Bioinformatics. It applies tools for database creation, data management, data warehousing, data mining, and others.
Market Drivers
Market Restraints
Bioinformatics Market Overview: Market Segment, Market Size, Sales and Growth, Price by Type
Global Bioinformatics Market Introduction: Market Share, Price, Base Distribution, Sales Area, Product by Company and Bioinformatics Market Competitive Situation and Trends
Bioinformatics Company Profiles: Competitive landscape Basic Information, Manufacturing Base and Competitors, Bioinformatics Product Category, Application and Specification, Bioinformatics Manufacturers Sales, Revenue, Price and Gross Margin and Business Overview
Bioinformatics Market Status and Outlook by Regions (North America, Europe, Asia-Pacific, South America, Middle East, and Africa): Market Size and CAGR, Sales and Revenue, Sales Market Share by Regions
Bioinformatics Application: Bioinformatics Product Segment, Sales and Market Share by maximum return on investment (ROI).The world class Bioinformatics business report also illustrates the CAGR values for the historic years 2019, the base year 2018 and the forecast for the years 2021-2027.
Bioinformatics Market Forecast: Sales, Revenue, Growth Rate Forecast (2021-2028) and Forecast by Regions, by Type, by Application
Continued
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Competitive Landscape and BioinformaticsMarket Share Analysis
Global bioinformatics market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of bioinformatics market for global, Europe, North America, Asia-Pacific, South America and Middle East & Africa.
Few of the major competitors currently working in the bioinformatics market are Thermo Fisher Scientific (US), Illumina Inc. (US), Agilent Technologies, Inc. (US), QIAGEN (Netherlands), BGI (China), Wuxi NextCODE (China), Eurofins Scientific (Luxembourg), Waters Corporation (US), Sophia Genetics (Switzerland), Partek (US), DNASTAR (US), Dassault Systmes (France), DNAnexus, Inc. (US), Genebio (Switzerland), ASEBIO (Spain), PerkinElmer Inc. (US), abm Inc.(Canada) a few among others.
Significant Highlights of the Report:
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Bioinformatics Market Country Level Analysis
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Drug Discovery Informatics Market 2020 Global Trends, Size, Share, Trends, Top Companies, Growth, Regional Analysis, and Forecast by 2027 KSU | The…
The demands of this industry are well defined: huge amounts of data are produced using various innovative technologies and the restraint is searching, integrating, and accessing this data. Additionally, the inclination is to make important development decisions in the early life cycle of the discovery process. It has become crucial to take care of these issues with the vast amount of data available from ongoing projects and also from early efforts of drug development. The future of drug discovery informatics will be the assimilation of distributed and heterogeneous data.
Domain specific data mining and data integration such as genomic and chemical data will continue to offer significant opportunities for drug discovery informatics. Procurement and management of graphical, textual and undefined data are some of the challenges in this field. However, these will become a vital part of data searching as well as building knowledge and information-bases. These factors will eventually lead to the growth of the data discovery informatics market during the forecast period.
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Increasing chronic illnesses such as cancer, cardiovascular diseases (CVD), and diabetes mellitus is the chief concern for healthcare professionals and government organizations around the globe. The U.S. government in association with Presidents Council of Advisors on Science and Technology (PCAST) has taken initiatives intended to improve financial stimulus to induce modernization in the pharmaceutical industry, which will drive the overall market for drug discovery informatics. Furthermore, collaborations amongst pharmaceutical companies have given rise to infusion of money and sharing of technologies amongst them, which has enabled these companies to develop local as well as global products.
With the advent of technology, innovative cloud-based and analytics technologies, storage and analysis of large amount of data is now possible at a lower cost. For example, Infosys popularized a cloud-based application to accelerate the management of data services for clinical trials. This in turn is likely to drive the whole drug design procedure. Infosys has been working in partnership with various clinical trial organizations and pharmaceutical companies to master the application and to provide easy access and management of data.
The facilities that are offered can be outsourced to other organizations or can be used in-house via licensed solutions. In-house informatics segment holds a significant market share in the present scenario owing to the presence of information technology platforms in most of the companies. However, outsourced informatics segment is likely to grow at a considerable pace during the forecast period as the key industry players are opting for collaborations with the IT providers to increase their access to the tools and databases for clinical drug discovery.
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Product innovations and continuous research in the field of drug discovery and scientific informatics is expected to facilitate growth of the market. For instance, in August 2019, Certara announced the launch of the 19.6 version of the companys scientific informatics platform for drug discovery and development, D360. The platform is designed in such a way that it allows a scientific researcher to access, share, and understand data quickly.
Increasing adoption of drug discovery platforms by biotech companies to better manage projects is likely to drive growth of the drug discovery informatics market. In August 2019, Voronoi, a drug discovery and development biotech company based in South Korea announced that they had selected CDD Vault, a hosted platform for managing chemistry and biology data, to manage the companys collaborative projects and drug discovery data.
Market players are also engaged in technological innovations in order to refine their services and product portfolio. For instance, in August 2019, Exscientia, a U.K.-based start-up, developed a drug-discovery system that uses AI algorithms to find new candidate molecules for medicines.
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Drug Discovery Informatics market Taxonomy
On the basis of mode, the global drug discovery informatics market is classified into:
On the basis of service segment, the global market is classified into:
On the basis of product segment, the global market is classified into:
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Sr./Analyst, Consumer Insights job with Stuart Weitzman | 156119 – The Business of Fashion
Summary:. The Consumer Insights Analyst / Sr. Analystat Stuart Weitzman ("SW") will report to the Sr. Manager of Relational Marketing and Consumer Insights, and be responsible for overall analysis of the SW customer base, campaign and clienteling initiatives, as well as the development and analysis of key customer segments for the SW brand. The Analyst will be responsible for providing customer insights to support Marketing, Ecommerce/Digital, Merchandising and Retail Stores teams in a new holistic 360 approach toward client engagement.Essential Duties and Responsibilities:- Aggregate different sources of data to accurately create a 360 channel agnostic, customer-centric view of both engagement and ROI behaviors- Develop and Maintain Dashboards/KPIs and reporting across online and retail channels in partnership with Tapestry Data Labs team- Translate analytical findings into concise and easily consumable outputs to support data driven decision making- Deliver actionable strategic and tactical insights using data and sound analytical methods- Ensure accuracy, quality and timeliness of deliverables- Assist Marketing teams with deepening their understanding of SW customers' online behaviors by providing channel specific or overall customer insights to drive campaign ROI and/or channel revenue- Answer data-related business questions in a timely manner utilizing a variety of available Business Intelligence tools (from Marketing/CRM, Ecommerce, Retail, Merchandise Planning and Buying)- Provide analytical support for marketing programs and related testing across channels (e-mail, DM, Out of Home, etc.)- Campaign forecasting- Back-end reporting- Post-Morten analysis- Provide analytical guidance for the targeting (and testing) and measurement of cross channel initiatives for the brand- Partner with Tapestry's data and analytics teams, applying learnings from Tapestry's analytical community to Stuart Weitzman- Help SW to enrich customer understanding through utilization of third-part demographic and behavioral data appendsSkills and Abilities Required:- Strong knowledge of SQL and Excel- Proficiency with Tableau or other data visualization tools required- Experience in data mining and statistical packages such as R/Python preferred- Natural curiosity and passion for the power of customer insights- Highly organized and detail oriented- Passion for Retail industry, desire to move the business forward with the help of analytics - Able to work cross functionally with both highly technical and analytic resources and those that have limited statistical and math trainingEducation and Experience Required:- 3+ years' experience in the area of analytics with a proven track record of leveraging data analysis to drive business impact- Degree in Statistics, Math, Economics or Operations Research- Experience with Segmentation, Profiling, Data modeling, Significance Testing, Experimental DesignOur Competencies for All Employees- Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.- Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.- Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.- Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.- Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.- Perseverance: Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks.- Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.Stuart Weitzman is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Visit Stuart Weitzman at http://www.stuartweitzman.com.
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Sr./Analyst, Consumer Insights job with Stuart Weitzman | 156119 - The Business of Fashion
Global Lifesciences Data Mining and Visualization Market Estimated To Experience A Hike in Growth | Global Industry Size, Growth, Segments, Revenue,…
Final Report will add the analysis of the impact of COVID-19 on this industry.
Introduction and Scope: Lifesciences Data Mining and Visualization MarketHolistic research derivatives focusing on Lifesciences Data Mining and Visualization Market is a high-grade professional overview of various market determinants and factors representing factors, challenges, trends, threats, and a holistic overview that determine the overall growth directive of the Lifesciences Data Mining and Visualization market. Crucial understanding on the various elements and growth propellants of the aforementioned market has been scrutinized effectively by research experts.
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Lifesciences Data Mining and Visualization Market Segment by Manufacturers, this report covers: Tableau Software, Information Builders, SAS Institute, SAP SE, TIBCO Software, IBM, Pentaho, Oracle, Microsoft, Dundas Data Visualization, InetSoft Technology, MicroStrategy
Market Segment by Type covers: On Premise, On Demand, Both
Market Segment by Applications can be divided into: Academia, Biotech, Government, Pharmaceuticals, Contract Research Organization (CRO), Others
Competitive Landscape
Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Lifesciences Data Mining and Visualization market.
Production, consumption, revenue, market share, and growth rate are the key targets forLifesciences Data Mining and Visualization Market forecast from 2013 to 2026 (forecast) in these regions:
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Some Major Table of Contents:
Chapter 1: Global Lifesciences Data Mining and Visualization Market Report 2020 Market Overview, Product Overview, Market Segmentation, Market Overview of Regions, Market Dynamics, Limitations, Opportunities and Industry News and Policies.Chapter 2: Global Lifesciences Data Mining and Visualization Market Report 2020 Industry Chain Analysis, Upstream Raw Material Suppliers, Major Players, Production Process Analysis, Cost Analysis, Market Channels, and Major Downstream Buyers.Chapter 3: Value Analysis, Production, Growth Rate and Price Analysis by Type of Global Lifesciences Data Mining and Visualization Market Report 2020.Chapter 4: Downstream Characteristics, Consumption and Market Share by Application of Global Lifesciences Data Mining and Visualization Market Report 2020.Chapter 5: Production Volume, Price, Gross Margin, and Revenue ($) of Global Lifesciences Data Mining and Visualization Market Report 2020 by Regions.Chapter 6: Global Lifesciences Data Mining and Visualization Market Report 2020 Production, Consumption, Export, and Import by Regions.Chapter 7: Global Lifesciences Data Mining and Visualization Market Report 2020 Market Status and SWOT Analysis by Regions.Chapter 8: Competitive Landscape, Product Introduction, Company Profiles, Market Distribution Status by Players of Global Lifesciences Data Mining and Visualization Market Report 2020.Chapter 9: Global Lifesciences Data Mining and Visualization Market Report 2020 Market Analysis and Forecast by Type and Application.Chapter 10: Global Lifesciences Data Mining and Visualization Market Report 2020 Market Analysis and Forecast by Regions.Chapter 11: Global Lifesciences Data Mining and Visualization Market Report 2020 Industry Characteristics, Key Factors, New Entrants SWOT Analysis, Investment Feasibility Analysis.Chapter 12: Global Lifesciences Data Mining and Visualization Market Report 2020 Market Conclusion of the Whole Report.Continue
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Marketing Data Scientist job with Calvin Klein | 156071 – The Business of Fashion
About PVH Corp.
PVH is one of the most admired fashion and lifestyle companies in the world.
We power brands that drive fashion forward for good.
Our brand portfolio includes the iconic CALVIN KLEIN, TOMMY HILFIGER, Van Heusen, IZOD, ARROW, Warners, Olga and Geoffrey Beene brands, as well as the digital-centric intimates brand. True&Co. We market a variety of goods under these and other nationally and internationally known owned and licensed brands. PVH has over 40,000 associates operating in over 40 countries and $9.9 billion in annual revenues. That's the Power of Us. Thats the Power of PVH.
About Calvin Klein
Calvin Kleinis a global lifestyle brand built on iconic essentials and powered by bold, progressive ideals. TheCalvin Kleinbrands CK Calvin Klein,Calvin Klein,Calvin Klein Jeans,Calvin Klein UnderwearandCalvin Klein Performance provide us with the opportunity to market products both domestically and internationally at various price points, through multiple distribution channels and to different consumer groups. TheCalvin Kleinbrands are also licensed for a range of products, including fragrance, women's apparel, footwear, eyewear, watches and jewelry in various regions. Global retail sales of products sold under theCalvin Kleinbrands were approximately $9.4 billion in 2019.
The tiered-brand strategy was established forCalvin Kleinto provide a focused, consistent approach to global brand growth and development that preserves the brand's prestige and image. Each of theCalvin Klein brands occupies a distinct marketing identity and position. We believe thatCalvin Kleinis well positioned over the next few years to establish itself as the worlds favorite brand. With the North Star of "Defying the boundaries of self-expression" guiding its design, marketing and consumer engagement initiatives, we believe that Calvin Klein will convert its investments into ongoing commercial success
The TeamYou are part of Calvin Klein Ecommerce and Marketing departments, reporting to The Senior Manager Performance Marketing. Your role is key in driving growth to our website as well as in driving brand visibility across Europe.
You will work closely with other teams within Marketing & Ecomm as well as Consumer Insights, CRM, IT and external partners.
Key Responsibilities
The Ideal Candidate
What You Can Expect from Us:
We would love to know why this istherole for you, so please include a motivational letter with your application.
PVH Europe and ourbrands,TOMMY HILFIGER and CALVIN KLEIN, are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. We believe we are bettered by all forms of diversity, and take pride in working with top talent from every walk of life and corner of the world. In the spirit of inclusivity, qualified applicants will be considered without regard to age, ethnicity, ability, gender, gender expression, gender identity, nationality, race, religion or sexual orientation.
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Marketing Data Scientist job with Calvin Klein | 156071 - The Business of Fashion
Trumps Impeachment Trial Offers a Chance to Seize the Initiative on the Future of Free Speech – The New Yorker
When Donald Trumps second impeachment trial opens this week, the prosecution and defense will spend much time debating whether it is unconstitutional to try a President no longer in officea dodge Republicans have seized upon to avoid taking responsibility for Trumps actions on January 6th and to avoid his wrath. With conviction now unlikely, the trial offers Democratic senators and the handful of open Trump skeptics among the Republicans a chance to engrave Trumps assault on the Constitution into the historical record. But the trial will also be a forward-looking political foruma preview of how January 6th will figure in electoral competition between Democrats and Republicans, and among Republicans, in the months ahead.
Trumps lawyers and acolytes have already made plain some of the political ground they prefer to fight on: the defense of the First Amendment. Impeaching Trump for mobilizing the January protesters with false claims about election rigging is a very, very dangerous road to take with respect to the First Amendment, putting at risk any passionate political speaker, one of Trumps impeachment lawyers, David Schoen, told Sean Hannity on Fox News last week. The initial fourteen-page brief that Schoen and his co-counsel Bruce Castor filed in Trumps defense mentions the First Amendment five times, aligning its arguments with the cancel culture protestations so prominent in conservative discourse: If the First Amendment protected only speech the government deemed popular in current American culture, it would be no protection at all.
As a defense against the Houses impeachment charge, however, the legal protections afforded by the First Amendment are largely irrelevant. The Constitution has designed impeachment as a political process, not a judicial one; what the House charges and what the Senate decides cannot be appealed to federal courts, for example, and the antiquated standard of high crimes and misdemeanors has been left to dangle for more than two centuries without clear definition. In criminal law, Trumps incendiary speech on January 6th, at the rally that preceded the assault on the Capitol, raises the question of whether his words are prohibited by the very narrow incitement exception under the First Amendment; free-speech scholars disagree about whether he crossed the legal line. But, at the impeachment trial, it doesntor shouldntmatter, since the First Amendment does not shrink the scope of the impeachment power or alter what conduct warrants a Senate conviction, as the House impeachment managers wrote in their trial memorandum, quoting Keith E. Whittington, a Princeton politics scholar.
There is no doubt that Trumps abuse of officehis lies about election fraud, his strong-arming of state election officials including Georgias Secretary of State Brad Raffensperger, his advocacy for unconstitutional interventions in the Electoral College, and, finally, his incitement of protesters to march on the Capitolwarrant impeachment and conviction. The House prosecution brief prominently quotes Republican Representative Liz Cheneys emphatic judgment: There has never been a greater betrayal by a President of the United States of his office and his oath to the Constitution.
Yet, when addressing Trumps prospective First Amendment defense, the prosecutors become more lawyerly and less persuasive. The House brief argues that rights of speech and political participation mean little if the President can provoke lawless action if he loses at the polls. It goes on to say that, because Trump attempted to subvert the Constitution by trying to overturn an election, he carried out a direct assault on First Amendment rights, and so his conviction by the Senate would vindicate First Amendment freedoms. This is a stretch; in any event, it would seem better and more consistent with liberal tradition to couple condemnation of Trumps incitement on January 6th with a confident argument to preserve robust free speech in the public squareas an antidote to Trumpism, among other things.
The briefs weakness on the First Amendment issue signals a loss of clarity among Democrats and liberals about the unqualified defense of free speech. Partly, this is because the serious emergency that Trump created after losing in November is proving difficult to enclose. Will Trump really be banned from all major social-media platforms forever? On what ground, and on whose authority? What will be the consequences of corporate deplatforming policies for civil-rights activists on the leftor for quirky, offensive speakers on the cultures fringes?
There can be little doubt that policies which suppress Trumpian voices will eventually be used to suppress other voices. Even before the 2020 election, DeRay Mckesson, a Black Lives Matter activist who helped organize protests against the police killing of Alton Sterling, in Louisiana, had been taken to court by a police officer who claimed that he was responsible for injuries the officer allegedly sustained in a rock-throwing incident, even though Mckesson had not been involved in any violence himself. (The Supreme Court returned the case to local courts, without ruling on the First Amendment issues.) It is not hard to imagine how red-state and Trump-aligned prosecutors may use the fallout from January 6th to go after civil-rights campaigners whose protests organized on social media turn violent, even if the violence is carried out by saboteurs or by fringe extremists.
President Biden and Democrats in Congress are preparing an aggressive regulatory and antitrust agenda aimed at social-media and other tech companies, recognizing the democratic distortions created by their power. But the record of Democrats in this arena is poor. Over a decade or more, their light touch on antitrust and public-interest regulation enabled the growth of the social-media giants that now dominate our public square. Until now, Democrats have effectively lashed themselves to the corporate-free-speech policies of publicly traded corporations that face pressure to maximize shareholder valueand not necessarily the public interest. The voluntary actions taken by Facebook, Twitter, Google, Amazon, and other companies against Trump and his insurrectionist allies this winter did help contain a constitutional crisis. But the evolution of these corporate policies into a next-generation, privatized free-speech regime that will shape elections in 2022 and 2024 should make every citizen queasy, given what we have seen on the largest platforms since 2016.
Twitter has announced a permanent ban on Trumps world-bending @realDonaldTrump account, on the ground that allowing Trump to tweet risked inciting further violence, which runs afoul of Twitters 2019 World Leaders policies, whose very existence signals the nature of the platforms ambition and influence. Facebook, for its part, seeks to evolve its emergency interventions into sustainable corporate policies and has turned to its nascent Oversight Board for assistance. The board was created last year to promote free expression by making principled, independent decisions regarding content on Facebook and Instagram and by issuing recommendations on the relevant Facebook company content policy. Last month, Facebook asked the board to decide whether to reinstate Trumps access to the platform. This decision has great consequences for similar situations that may arise in the future elsewhere, Nick Clegg, Facebooks vice-president for global affairs and communications, told National Public Radio.
The Oversight Board is made up of twenty scholars, activists, and journalists from more than a dozen countries, and includes such respected figures as Alan Rusbridger, the former editor of the Guardian, who bravely published Edward Snowdens revelations, under intense pressure from the British government not to do so. Yet the membership list can read like a parody of the conspiracist black-helicopter crowds anxieties about unaccountable global governance. Whatever the board decides about Trump, its own legitimacy may attract as much scrutiny as its recommendations do.
Facebook and Twitter have long sought to occupy a position of neutral permissiveness toward speech, inspired by First Amendment principles. Yet their business models have also led them to surveillance and data-mining practices that are incongruent with civil liberties. Last week, Charlie Warzel and Stuart A. Thompson of the Times reported on a data set that they obtained from sources that tracks the movements of some hundred and thirty individuals who were inside the Capitol on January 6th. It isnt clear who collected this surreptitious information, as Warzel and Thompson called it. Phone and social-media companies are among those that could have had access. (The data showed where smartphones and so, potentially, their owners, were, inside the building.) Warzel and Thompson called the data set a demonstration of the looming threat to our liberties posed by a surveillance economy that monetizes the movements of the righteous and the wicked alike.
Trump will be tried this week for his incitement of insurrection against the Republic he swore to protect, as the House trial memorandum begins. In periods of national division and anxiety, such as this one, as the First Amendment scholar Geoffrey R. Stone narrates in his essential book Perilous Times, Americans have repeatedly overreacted and suppressed dissent in ways that, in hindsight, seem hysterical or malign. There is certainly no reason to shrink from Trumps impeachment or conviction on free-speech grounds, as the board of the American Civil Liberties Union has persuasively argued. After the trial, however, a path to politics and public policy that neither enables Trumpian assaults on voting and the Constitution nor undermines the radical American experiment in free speech will be very hard to find. It is necessary nonetheless.
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