Data collection – Neo Agent http://neoagent.net/ Mon, 26 Sep 2022 20:48:36 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://neoagent.net/wp-content/uploads/2021/10/default1-150x150.png Data collection – Neo Agent http://neoagent.net/ 32 32 UK could fine TikTok $29m over data collection practices https://neoagent.net/uk-could-fine-tiktok-29m-over-data-collection-practices/ Mon, 26 Sep 2022 20:46:25 +0000 https://neoagent.net/uk-could-fine-tiktok-29m-over-data-collection-practices/ Britain’s privacy regulator, the Information Commissioner’s Office, can fine TikTok Inc. 27 million pounds or $28.9 million for its data collection practices. The ICO announced the development today. It also released a document known as the Notice of Intent to TikTok and its UK subsidiary, TikTok Information Technologies UK Ltd. The notice of intent often […]]]>

Britain’s privacy regulator, the Information Commissioner’s Office, can fine TikTok Inc. 27 million pounds or $28.9 million for its data collection practices.

The ICO announced the development today. It also released a document known as the Notice of Intent to TikTok and its UK subsidiary, TikTok Information Technologies UK Ltd. The notice of intent often precedes a fine, but it is not yet certain that the ICO will decide to issue the potential $29 million. sadness.

The ICO’s decision to raise the prospect of a fine follows an investigation into how TikTok handles children’s data. The regulator has determined that between May 2018 and July 2020, TikTok may have processed the data of children under 13 in breach of UK data protection law.

As part of its investigation, the ICO has reached the tentative conclusion that TikTok may have processed children’s data without proper parental consent. ICO officials also believe that TikTok may have processed special category data, a legal term that encompasses several types of sensitive user data, without a “legal basis to do so.”

The third preliminary finding of the ICO investigation relates to how TikTok discloses its information collection practices to users. According to the ICO, the company “has failed to provide appropriate information to its users in a concise, transparent, and easily understandable manner.”

“We all want children to be able to learn and experience the digital world, but with appropriate data privacy protections,” said Information Commissioner John Edwards. “Companies providing digital services have a legal obligation to put these protections in place, but our preliminary view is that TikTok has failed to meet this requirement.”

The conclusions of the ICO are not final. TikTok can provide feedback on the investigation within 30 days and, based on the company’s feedback, ICO officials will determine whether or not to issue the potential $29 million fine. . The regulator may also decide to reduce the amount of the fine.

“While we respect the ICO’s role in protecting privacy in the UK, we do not agree with the preliminary views expressed and intend to respond formally to the ICO in due course. “, a TikTok spokesperson told CNBC in a statement.

Companies that breach UK data protection laws can be fined up to 17.5 million pounds, the equivalent of $18.7 million, or 4% of their revenue. worldwide annual business, whichever is greater. The ICO can also order companies to change business practices that do not meet data protection requirements.

Image: TikTok

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Attendance Data Collection Changed Following Student Concerns – The Oberlin Review https://neoagent.net/attendance-data-collection-changed-following-student-concerns-the-oberlin-review/ Fri, 23 Sep 2022 21:06:34 +0000 https://neoagent.net/attendance-data-collection-changed-following-student-concerns-the-oberlin-review/ abe Presence, a software implemented by the College this semester, tracks data from students attending events. At the start of this semester, the College began using Presence, software designed to organize on-campus events and track attendee data. Recently, students have expressed concerns about Presence’s data tracking habits. Presence describes its services as supporting colleges and […]]]>

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Presence, a software implemented by the College this semester, tracks data from students attending events.

At the start of this semester, the College began using Presence, software designed to organize on-campus events and track attendee data. Recently, students have expressed concerns about Presence’s data tracking habits.

Presence describes its services as supporting colleges and universities in managing and automating processes, engaging more students, tracking and collecting engagement data, assessing behaviors and trends, and the encouragement and measurement of experiential learning and extracurricular opportunities. Modern Campus, the company that acquired Presence in 2021, works with more than 1,400 colleges and universities across North America.

“Presence is a student engagement and learning solution that enables universities to improve retention rates by tracking and learning their students’ engagement patterns and behaviors,” reads a statement from Modern Campus press on the software. “Serving more than 250 higher education institutions in North America, Presence makes it easy to visualize and assess engagement efforts using data, streamline workflows for departments and student organizations, and match learning outcomes to opportunities for student success.

Presence has two interfaces: the organizer view and the attendee view. Any student can use the student portal, GOberlin, to find out which organizations they would like to join and which events they would like to attend. Events in which students have participated – whether or not they have registered via the GOberlin portal – will appear on their profile. The organization pages display the organization’s email, website, if it was active in 2021-2022, a description of the organization, and a feed linked to the organization’s social media account, as well as all upcoming events organized by the organization.

According to the vice-dean for students Thom Julian, the implementation of Presence is the result of a year of research for the software best suited to the needs expressed by the leaders of student organizations. The research was conducted in collaboration with staff from the Office of Student Leadership and Engagement and the Center for Information Technology. Feedback was gathered from focus groups with student organizations, the Vibrant Campus Task Force and peer institutions. Presence has been identified as the ideal software to streamline and digitize student organization processes to drive insight through data.

“We are fairly early in the implementation of Presence, and our goal this semester is to bring student organization leaders into the management of the organization and the creation of events,” Julian wrote in an e-mail. -email to Exam.

Earlier in the semester, shortly after Presence was implemented, students expressed concerns about the nature of the data the software was tracking. Presence pulls data from Banner and tracks student engagement through various demographics, including GPA, race, gender, citizenship status, and national origin, which becomes available to event planners. In response to this feedback, the Office of Student Leadership and Engagement has since changed its use of Presence so that it only tracks data on events with 50 or more attendees.

Julian discussed data anonymity.

“All student demographics are in anonymous aggregate form,” Julian wrote. “The intent of this data is to ensure that we serve all populations on campus fairly with our student engagement offerings.”

Tabitha Bird, a sophomore in the College, Treasurer-in-Training and General Manager of Cat in the Cream, spent some time understanding the new software and its use at Cat in the Cream events.

“The 50-person limit was to make it virtually impossible … to determine exactly which person matches which IDs,” Bird said. “Next, we reduced the limit of identifiers that would be accessible to students in general [organizations].”

Students also expressed that they felt questioned by the data collection and identified that some of the data available to organizers may not always be accurate.

“One of the biggest issues we have is that unless students take it upon themselves to update gender markers and stuff like that with desks, we have no control over that. “Bird said.

Cat in the Cream staff members use Presence to identify how many people attend their events and what parts of campus the students come from. They hope to get more information that will help them understand how to increase student diversity at events.

“Last year we had a lot of issues where people felt that … certain events were unintentionally separated for various reasons, and there was basically just a lack of diversity in the groups on campus – we We took this very seriously,” Bird said. “We have [found that] people who live primarily on North Campus [are] come to our events, which kinda makes sense since we’re located on North Campus, but it’s also very disappointing.

According to Julian, Presence will continue to be updated over the coming semesters to provide more information and functions.

“We will be introducing other features such as student funding tools, event commenting, organization elections and much more,” Julian wrote.

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Global Data Collection and Labeling Market Report 2022: Rapid Industry Penetration of AI and Machine Learning Engines – ResearchAndMarkets.com https://neoagent.net/global-data-collection-and-labeling-market-report-2022-rapid-industry-penetration-of-ai-and-machine-learning-engines-researchandmarkets-com/ Tue, 20 Sep 2022 12:50:00 +0000 https://neoagent.net/global-data-collection-and-labeling-market-report-2022-rapid-industry-penetration-of-ai-and-machine-learning-engines-researchandmarkets-com/ DUBLIN–(BUSINESS WIRE)–The “Data Collection and Labeling Market Size, Share, and Trend Analysis Report by Data Type (Audio, Image/Video, Text), by Vertical (Computer , retail and e-commerce), by region and segment forecast, 2022 -2030″ report has been added to from ResearchAndMarkets.com offer. The global data collection and labeling market size is expected to reach USD 12.75 […]]]>

DUBLIN–(BUSINESS WIRE)–The “Data Collection and Labeling Market Size, Share, and Trend Analysis Report by Data Type (Audio, Image/Video, Text), by Vertical (Computer , retail and e-commerce), by region and segment forecast, 2022 -2030″ report has been added to from ResearchAndMarkets.com offer.

The global data collection and labeling market size is expected to reach USD 12.75 billion by 2030, according to this report. The market is expected to grow at a CAGR of 25.1% from 2022 to 2030. Data collection and labeling refers to the collection of datasets from online and other sources and their labeling according to their nature, data type and functionality. Data collection and its annotation, combined with AI technology, have created valuable growth opportunities in several verticals, such as gaming, social media and e-commerce.

For example, Twitter and Facebook, two major social networking platforms, have benefited from image processing technology in audience engagement. Companies use data labeling platforms to identify machine learning model raw data. Text, movies, audio and other items are the raw data.

The advent of digital capture devices, particularly cameras built into smartphones, has led to an exponential growth in the volume of digital content in the form of images and videos. A lot of visual and digital information is captured and shared through multiple apps, websites, social media, and other digital channels. Several companies have taken advantage of this available online content to provide smarter and better services to their customers using data annotation. For example, Scale AI, Inc., the US-based tech start-up, has provided valuable data tagging services to its self-driving customers, including Waymo LLC; Lyft, Inc.; Zoox; and the Toyota Research Institute.

However, data cleaning remains a significant challenge related to data labeling. Additionally, given the time, complexity, and cost associated with developing machine learning models, many companies may not have the resources to produce acceptable and accurate results. Therefore, several companies are taking strategic initiatives to expand their business in AI-based data collection. For example, in July 2020, Microsoft acquired Orions Digital Systems, Inc., a US-based data management solutions provider, to bolster its Dynamics 365 Connected Store capabilities. The acquisition is expected to increase the use of computer vision and IoT sensors to help retailers better understand customer behavior and manage their physical spaces.

Highlights of the Data Collection and Labeling Market Report

  • Automated image organization offered by cloud-based applications and telecommunications companies is one of the most popular uses of data collection that has improved user experience and drawn customer attention towards this technology.

  • Several advantages such as better security and automation of identification encourage the implementation of facial recognition in public spaces or important events.

  • The advent of large-scale cloud-hosted AI and machine learning platforms offered by tech giants has led to the implementation of data annotations with multiple functions, such as recognition facial recognition, object recognition and landmark detection.

  • Increasing integration of digital image processing and mobile computing platforms into various digital shopping and document verification applications propels the market growth

Market dynamics

Market factors

  • Growing need to make text/image more interactive and engaging

  • Rapid penetration of AI and machine learning

  • Increase in R&D expenditure for the development of autonomous vehicles

Market restriction

  • Lack of skilled labor

  • High costs associated with manual labeling of complex images

Main topics covered:

Chapter 1 Methodology and Scope

Chapter 2 Executive Summary

Chapter 3 Market Variables, Trends and Scope

Chapter 4 Data Collection and Labeling Market: Data Type Estimates and Trend Analysis

Chapter 5 Data Collection and Labeling Market: Vertical Estimates and Trend Analysis

Chapter 6 Data Collection and Labeling Market: Regional Estimates and Trend Analysis

Chapter 7 Competitive Landscape

Companies cited

  • app limited

  • Reality AI

  • Global Localization Inc.

  • Global Technology Solutions

  • alegion

  • Labelbox, Inc.

  • Dobility, Inc.

  • AI Scale, Inc.

  • Trilldata Technologies Pvt. ltd.

  • Play Inc.

For more information about this report visit https://www.researchandmarkets.com/r/o7g7mq

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EU Court rules against German data collection law https://neoagent.net/eu-court-rules-against-german-data-collection-law/ Tue, 20 Sep 2022 10:36:04 +0000 https://neoagent.net/eu-court-rules-against-german-data-collection-law/ A German law requiring telecom companies to retain customer data is a breach of EU law, a European court ruled on Tuesday, prompting the justice minister to promise an overhaul of the rules. The companies Telekom Deutschland and SpaceNet have taken to German courts to challenge the law requiring telecommunications companies to retain customer traffic […]]]>

A German law requiring telecom companies to retain customer data is a breach of EU law, a European court ruled on Tuesday, prompting the justice minister to promise an overhaul of the rules.

The companies Telekom Deutschland and SpaceNet have taken to German courts to challenge the law requiring telecommunications companies to retain customer traffic and location data for several weeks.

The case went to the European Court of Justice (ECJ) in Luxembourg, which ruled against the German law.

“EU law prohibits the general and indiscriminate retention of traffic and location data,” the court said in a statement, confirming its previous judgments on the matter.

The Federal Administrative Court, one of the highest courts in Germany, had argued that there was a limited possibility of drawing conclusions about the privacy of individuals from the data, and that sufficient safeguards were in place. .

But the ECJ said German law – which required traffic data to be retained for 10 weeks and location for four – applies to a “very broad set” of information.

It “can make it possible to draw very precise conclusions on the private life of the people whose data are kept… and, in particular, to establish a profile of these people”.

The law’s stated purpose was to prosecute serious criminal offenses or prevent specific national security risks, but the court said such measures were not permitted for “preventive” purposes.

However, he said that in cases where an EU state faces a “serious threat to national security” that is “real and present”, telecoms providers can be ordered to retain the data.

Such an instruction must be subject to review and may only be in place for a period deemed necessary.

Following the announcement, Justice Minister Marco Buschmann hailed a “good day for civil rights”.

“We will now, promptly and permanently, remove data retention without legal grounds,” the minister wrote on Twitter.

Data privacy is a sensitive issue in Germany, and its courts have in the past issued rulings to limit security services’ access to people’s data.

Buschmann comes from the liberal FDP party, which has made data protection a key part of its policy.

© AFP 2022

Key words:

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Concern over data collection on ‘disproportionate’ school attendance in UK https://neoagent.net/concern-over-data-collection-on-disproportionate-school-attendance-in-uk/ Fri, 16 Sep 2022 16:43:53 +0000 https://neoagent.net/concern-over-data-collection-on-disproportionate-school-attendance-in-uk/ The Information Commissioner’s Office (ICO) has raised concerns about the Department for Education’s (DfE) daily collection of school attendance data, introduced in 65% of English schools this year. The data watchdog says the DfE did not initially carry out a data protection impact assessment (DPIA) before starting to store information, as required by law. Documents […]]]>

The Information Commissioner’s Office (ICO) has raised concerns about the Department for Education’s (DfE) daily collection of school attendance data, introduced in 65% of English schools this year. The data watchdog says the DfE did not initially carry out a data protection impact assessment (DPIA) before starting to store information, as required by law. Documents released under the Freedom of Information Act (FOI) also show the DfE was asked to suspend ‘high risk data collection’ and carry out a risk assessment, but refused to do so. .

The collection of data on school students has raised concerns with the ICO. (Photo by LStockStudio/Shutterstock)

Digital rights group Defend Digital Me, which submitted the freedom of information request, says it is concerned about policy-level decision-making about the system and the ‘lack of care and attention’ which was granted before starting the large-scale data collection process. The group says this poses a risk to the “fundamental rights and freedoms” of pupils, who can be as young as four years old. He plans to legally challenge the DfE.

In documents shared with the ICO’s Defend Digital Me, an email chain shows stakeholders from the ICO’s policy team reporting concerns to the DfE over the lack of DPIA and non-compliance with its obligations. . After receiving the DPIA, the ICO outlined its concerns about the attempted data collection and processing in over ten pages. One of his concerns was the storage of the data for an “excessive” length of 66 years as well as “the DfE’s failure to demonstrate the necessity of the data processing”.

Defend Digital Me’s legal team have written to the DfE asking for “urgent responses” to the lack of transparent information provided to schools, parents and children about the collection, processing and sharing of data.

As reported by Technical monitor, the attendance tracking was announced by the DfE earlier this month, with its private sector technology provider Wonde acting as data processor. Privacy experts said at the time that they were concerned about the vague terms of the agreement between the company and the Ministry of Education, according to which the data could be shared with other ministries and potentially third parties.

Collection of data on school attendance: excessively frequent and unnecessary

The DfE has announced that it will pilot a new daily collection of attendance data in January, collecting information from digital registers in real time. The department says the data collection aims to ‘help deal with absences faster’ with a white paper confirming the DfE wanted to work to establish a better and faster flow of attendance data at pupil level.

Schools were asked to sign up for a daily attendance tracking ‘trial’. According to Defend Digital Me, it was unclear how the DfE planned to intervene with students whose information it collected. The group considers that the collection of data is “obviously excessively frequent, unnecessary and disproportionate”. The DfE also told the schools that it had worked with the ICO on its DPIA – emails show the ICO asked for this to be changed or removed.

The Department for Education then awarded a £270,000 contract for ‘Project_6468 Acquisition of Attendance Data’ to Suffolk-based Wonde Ltd. The RFP says it was for “school data extraction services necessary to enable the buyer to extract certain school attendance records.”

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Defend Digital Me wrote to the ICO in February 2022 with their concerns about the tracker. “If it’s about absence, why is the national department collecting data daily from millions of children who never miss school?” he says on a blog post. He also flagged concerns about whether the data would be shared with members of the Attendance Alliance at the DfE and who would explain to pupils and families how the data would be shared.

Confusion over DfE data storage plans

Documentation released as part of the FOI request shows that at the time data collection began, the DfE had not worked with the ICO on its DPIA and the DPIA had not been signed prior to commencement. data processing, which is a legal requirement. .

Once the ICO received and reviewed the DPIA, it raised many concerns with the DfE in March. In its 20-page response, the data watchdog is concerned that the DfE’s DPIA does not confirm whether the contractual arrangement between the DfE and Wonde fully complies with the “processing contract requirements”. It also notes that it is not clear from the DPIA why the data retention period of 66 years is justified. The DfE says this is necessary for evaluation and monitoring purposes. The ICO adds that the DPIA needs more details on how student data will be anonymized and archived.

The DfE’s DPIA also says the data will be stored in the Microsoft Azure cloud, based in the Republic of Ireland and the Netherlands and that it has obtained “relocation approval”. The ICO said that term was “undefined” and it was also unclear if the “required safeguards for such transfers were in place”. Further, he says this statement contrasts with Wonde’s data storage policy, which states that information is stored on AWS servers in Ireland.

Ongoing legal challenge against DfE data collection faux pas

The Defend Digital Me legal team is in contact with the DfE to get answers on how the data will be analyzed and to ensure transparency around the use of the tracker. He said the department’s initial response confirmed that daily attendance data is “likely to be used to support legal interventions, including issuing fixed fine notices and prosecuting parents.”

“The DfE’s response also leaves important questions unanswered, regarding how daily student data might be used in future phases of the project and with whom it might be shared,” the organization says in a blog post. “Our legal team is continuing to correspond with the department.” Defend Digital Me has also launched a crowdfunder to raise money for the legal challenge it wants to bring against the DfE.

Other education stakeholders have raised their own concerns over the revelations, Geoff Barton, general secretary of the ASCL union, telling School week that it demands a full explanation of what went wrong and the concerns that were raised. He confirms to the outlet that the DfE sent emails to schools that allegedly “formed the impression” that the DPIA was done with the ICO.

“This is completely unacceptable and if the schools had known that a significant part of the data backup process had not been completed, they are unlikely to have signed up for the trial,” Barton said.

A reminder of why we need ‘strong legislation’

Mariano delli Santi, legal and policy officer at the Open Rights Group, told Tech Monitor that DfE projects put children at “risk of being stigmatized as absent” for the rest of their lives. This could, he says, have dramatic consequences for their chances of succeeding in life.

The EU GDPR provides protection against “data-driven decisions” and requirements to consider potential implications for the deployment of digital systems, he says, as with a DPIA: data protection are the reason we are able to meet these challenges, and ensure that innovation and digitization do not compromise our children’s chances of succeeding in life. »

Delli Santi says this example from the DfE is a “stark reminder” of the importance of strong legislation, which comes as the UK government seeks to move away from GDPR with its own data protection regime, the draft data protection law and digital information.

“With the Data Protection and Digital Information Bill, the collection of data to ‘protect the vulnerable’ would become legal even without regard to the practical consequences for the well-being of the people it should protect” , says Delli Santi. “Furthermore, the requirement to conduct DPIAs and consult the ICO would be removed, removing a useful tool for thinking about risk and challenging reckless behavior.”

He believes the government needs to start listening to criticism from industry and privacy organizations and “reconsider its plans to ignite legal standards” that protect everyone.

Technical monitor has contacted the DfE for comment.

Read more: AI in the classroom does not replace real teachers

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AEye Partners with GridMatrix to Deliver the Industry’s Most Complete Data Collection and Visualization Solution | app https://neoagent.net/aeye-partners-with-gridmatrix-to-deliver-the-industrys-most-complete-data-collection-and-visualization-solution-app/ Thu, 15 Sep 2022 12:03:31 +0000 https://neoagent.net/aeye-partners-with-gridmatrix-to-deliver-the-industrys-most-complete-data-collection-and-visualization-solution-app/ DUBLIN, Calif.–(BUSINESS WIRE)–Sept. 15, 2022– AEye, Inc. (NASDAQ: LIDR), a global leader in high-performance, adaptive lidar solutions, today announced integration with GridMatrix’s cloud-based software platform to provide the highly accurate data needed by transport services to enable real-time decision making on smart cities. Realization and historical analysis. This first-of-its-kind integration creates the industry’s most comprehensive […]]]>

DUBLIN, Calif.–(BUSINESS WIRE)–Sept. 15, 2022–

AEye, Inc. (NASDAQ: LIDR), a global leader in high-performance, adaptive lidar solutions, today announced integration with GridMatrix’s cloud-based software platform to provide the highly accurate data needed by transport services to enable real-time decision making on smart cities. Realization and historical analysis. This first-of-its-kind integration creates the industry’s most comprehensive data collection and visualization tool for intersection management and incident detection, designed to help cities and states reduce crashes, traffic jams and broadcasts, all in real time.

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AFT On PED Effort to reduce and improve data collection https://neoagent.net/aft-on-ped-effort-to-reduce-and-improve-data-collection/ Mon, 12 Sep 2022 20:29:29 +0000 https://neoagent.net/aft-on-ped-effort-to-reduce-and-improve-data-collection/ Whitney Holland, President of the AFT AFT News: ...Lujan Grisham Administration and PED engaged stakeholders to reduce red tape RIO RANCHO – New Mexico American Federation of Teachers (AFT) President Whitney Holland released the following statement: “Public educators working in New Mexico’s K-12 schools can soon expect relief from the pressures of redundant and overly […]]]>

Whitney Holland, President of the AFT

AFT News:

...Lujan Grisham Administration and PED engaged stakeholders to reduce red tape

RIO RANCHO – New Mexico American Federation of Teachers (AFT) President Whitney Holland released the following statement:

“Public educators working in New Mexico’s K-12 schools can soon expect relief from the pressures of redundant and overly cumbersome data reporting as the New Mexico Department of Public Education implements the recommendations from his study of data collection processes in our public education system.

“As a result of a collaborative effort between stakeholders and the NM PED, our coalition conducted a total review of the nearly 250 reports and data collections required to modernize, streamline and reduce the number of hours our educators and schools spend on ‘red tape’.

“As a recent teacher, I know firsthand the time spent on report writing and data collection. The truth is that every hour spent on redundant or unnecessary reports was an hour not spent with my students, engaging them in the learning process.

“Under the leadership of Dr. Kurt Steinhaus, the NM PED has transitioned to a service model for our educators, and today’s report is further evidence of their commitment to our profession by returning 10 hours of teaching time potential per teacher through reductions in reporting in the 22-23 school year alone.

“This report represents the ongoing effort between public educators and the Lujan Grisham administration to improve our profession and the services we provide to our students and their families. We celebrate these advances and the respectful collaboration that produced this report.

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Big data collection and analysis https://neoagent.net/big-data-collection-and-analysis/ Fri, 09 Sep 2022 13:02:51 +0000 https://neoagent.net/big-data-collection-and-analysis/ Quick hits: Most industrial companies started collecting data for specific production improvement initiatives within the last five years. The 3 main business drivers for data collection and analysis are: improving specific line or equipment operations; improve maintenance operations; and global Industry 4.0 or digital transformation initiatives. Systems integrators say 57% of their customers still rely […]]]>

Quick hits:

  • Most industrial companies started collecting data for specific production improvement initiatives within the last five years.
  • The 3 main business drivers for data collection and analysis are: improving specific line or equipment operations; improve maintenance operations; and global Industry 4.0 or digital transformation initiatives.
  • Systems integrators say 57% of their customers still rely on handwritten data collection which is then entered into a spreadsheet, but only 29% of end users say they use handwritten data collection methods.

Related to this episode:

Read the transcript below:

Welcome to Automation World’s Technology Matters site. I’m David Greenfield, Director of Content, and today I’m going to share some insights we’ve recently gathered through research into the industry’s use of big data collection and analysis technologies.

Although the name Big Data seems really trendy, it’s really the name that is new. Companies have been collecting time series data from assets for decades. And while plant managers and maintenance workers have, of course, used this data to improve operations, it has rarely, if ever, been analyzed with broad business transformation in mind. And that’s really what Big Data is: capturing increasing amounts of data by deploying more sensors and other data collection technologies and, more importantly, analyzing the data to gain specific insights into the improved activity… not just capturing them to leave in place for possible use to be identified later.

So for this research project, in which we interviewed both end users and system integrators, we focused on the use of a variety of data collection and analysis technologies, ranging from data acquisition systems, historians and computerized maintenance management systems to edge and cloud computing. , and advanced analysis software.

Here is a small sample of what we found. While most end users surveyed (86%) indicate that they collect data from equipment and devices specifically for production improvement initiatives, most only started doing so over the past five years. Only 27% of respondents indicate that they have been collecting data for these purposes for more than six years.

An interesting point among end-user responses is that 98% plan to collect even more data from their production systems over the next two years. But only 30% plan to do so for specific operational improvements.

Now, this could indicate that many of those who have been collecting and analyzing data for a few years may have already discovered many ways to improve their production operations and may be looking to leverage the data they are now collecting to other more strategic activities. purposes.

Another interesting finding from the survey was that end users and integrators agreed on the top three business drivers for data collection and analysis. These drivers are: improvement of specific line or equipment operations, improvement of maintenance operations and participation in the overall Industry 4.0 or digital transformation initiative of the company.

When it comes to the specific technologies used for big data collection and analysis, we found it interesting, though not too surprising, that most manufacturers still rely on data collection and analysis technologies. that existed long before the development of the technologies receiving the most attention from Big Data. today.

That’s not to say that new collection and analysis technologies aren’t being used – that’s certainly not the case. Edge and cloud technologies, for example, are widely used in industry. Even so, there is plenty of room for their growth. Only 29% of system integrator customers use hybrid cloud and edge technology and only 14% use standalone cloud systems.

According to the survey results, most manufacturers rely on three main methods of data collection and analysis, one of which is handwritten data collection. Systems integrators surveyed say that 57% of their customers still rely on collecting handwritten data that is then entered into a spreadsheet. But only 29% of end users report using handwritten data collection methods. Even if you split the difference here between integrator and end user responses, there are still a lot of companies that rely on handwritten data collection and that really can’t support a real big initiative. Data.

The other two main methods used are historians and computerized maintenance management systems, both of which have a long history of use in the industry.

The results of this study will be featured in our October 2022 issue, so keep an eye out for the full report to be published online and in print.

So I hope you enjoyed this episode of Technology Matters. Keep watching this space for regular updates on advances and applications in industrial automation technology.

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Preliminary data collection in Illinois is behind schedule https://neoagent.net/preliminary-data-collection-in-illinois-is-behind-schedule/ Fri, 09 Sep 2022 11:55:33 +0000 https://neoagent.net/preliminary-data-collection-in-illinois-is-behind-schedule/ Artwork by Veronica Martinez Artwork by Veronica Martinez A state board tasked with collecting and analyzing data on pretrial practices in Illinois circuit courts said numerous hurdles would delay its work for months, which advocates say could embolden opponents of recent reforms to the criminal justice system. The Safety, Responsibility, Fairness, and Fairness Today (SAFE-T) […]]]>

Artwork by Veronica Martinez

Artwork by Veronica Martinez

A state board tasked with collecting and analyzing data on pretrial practices in Illinois circuit courts said numerous hurdles would delay its work for months, which advocates say could embolden opponents of recent reforms to the criminal justice system.

The Safety, Responsibility, Fairness, and Fairness Today (SAFE-T) Act, signed into law by Illinois Governor JB Pritzker more than a year ago, will abolish the bond system Illinois currency early next year. It will also limit pretrial detention to those charged with the most serious charges who a judge finds pose either a flight risk or a direct threat to a person.

The legislation also created the Pretrial Practices Data Monitoring Board to collect and analyze pretrial data in circuit courts in each of the state’s 102 counties. The board was tasked with finding out how each county collects data on charges, demographics, release conditions, case outcomes and other metrics; define additional preliminary data points; suggest how this data can be systematically collected and reported statewide; and figure out how much it would cost. Lawmakers have called for this effort to be completed by July this year and for data collection to begin shortly thereafter.

Surveys that expose, influence and inform. Emailed directly to you.

But in a July report, the council described a myriad of hurdles forcing it to postpone data collection for at least another year.

Cara LeFevour Smith, director of the Illinois Supreme Court’s Office of Pretrial Services, said the timeline for collecting data from 102 disparate county systems across the state proved too ambitious to achieve. on time. “Our goal is to make sure everything that comes out of the chart is accurate,” she said.

But advocacy groups working with survivors of gender-based violence have expressed concern that the delay – and the information vacuum it creates – will play into the hands of opponents of the legislation, who have decried it. as a threat to public safety.

Several Republican lawmakers, county prosecutors and law enforcement groups have warned that the SAFE-T law will harm survivors of gender-based violence, though advocates have said there is no data to back this up. Some have gone so far as to claim it has already increased crime in the state, even though some of its more controversial parts – particularly the end of cash bonds – won’t go into effect until January 1. .

“It has been incredibly difficult and frustrating to constantly see quotes and comments from opponents of the Pre-Trial Fairness Act saying it will harm victims, while some of the leading victim advocacy groups in the state support,” said Madeleine Behr, policy director of the Chicago Alliance Against Sexual Exploitation.

Behr and other gender-based violence-focused organizers said they worked closely with lawmakers to ensure the safety of survivors was considered during the development and passage of the SAFE-T law. .

As part of pre-trial reform, those arrested for domestic violence can be held for 24 to 48 hours, so judges can review evidence and hold a thorough hearing before deciding whether the accused should be jailed or released on conditions to protect the victim or his relatives. family safety. People charged with domestic violence will no longer be released directly by the police or after a speedy bail hearing – and release decisions must be based on the risk posed by an accused, not their ability to pay.

“Delaying that data just makes it harder to really understand the intricacies of those cases and to make sure that this system works as intended,” Behr said.

She expressed interest in court demographics that can help them better understand racial dynamics in gender-based violence cases.

“Do we most often see black defendants charged with sex crimes receiving petitions to be detained and not white defendants? Are we seeing white victims treated better by the system, ie faster notification, more opportunities for protective orders than, say, black victims? says Behr. “That’s the kind of data we need to make sure the system works as fairly and safely as possible.”

Data collection is not an easy task

The Pretrial Practices Data Oversight Board report said it needed more time to create a connected network of data collection across all 102 counties in Illinois.

Smith said an earlier task force convened by the Illinois Supreme Court identified 48 key pretrial data points that should be collected in every county. But only two-thirds of Illinois counties surveyed by the task force had a system in place to collect this data. Adding to the complication, these counties were not collecting data consistently, and some were still using paper records.

With such inconsistent data collection from county to county, the Pre-Trial Practices Data Oversight Council reported that it needed more time to create a uniform list of data fields before the trial. lawsuits that each county would collect and implement a standardized case management system under its contract with Tyler Technologies, a software company that helps the public sector build digital infrastructure.

Advocates for survivors of gender-based violence have also raised concerns that the council will not collect data on the outcomes of domestic and sexual violence cases, citing their omission from the 48 key pre-trial data points. .

Amanda Pyron, executive director of The Network: Advocating Against Domestic Violence, said data needs to be collected statewide to understand the effect of the Pretrial Fairness Act on survivors of domestic and sexual violence. .

“What we want to know is how can we make Illinois the safest state for survivors of gender-based violence? How can we prevent and end gender-based violence?” Pyron says. “In order to design the systems we need, we need to have enough data.”

Smith said the 48 data points were just a starting point, and told Injustice Watch that the SAFE-T Act’s effects on domestic and sexual violence cases would soon be included. The board plans to release the full list of data points to be collected by the end of September, she said.

“The Supreme Court and (the Illinois Courts Administrative Office) have been working for about two years to develop the Mercedes-Benz of comprehensive data points that we want to collect from each county court system, so that we can have a full transparency. and understanding,” Smith said.

Once those data points are identified, Smith said, Tyler Technologies will have a better idea of ​​the work needed to develop a statewide data collection system, and the board will be able to determine how much funding it needs. will need to implement it.

Sarah Staudt, policy director at the Chicago Appleseed Center for Fair Courts, an organization that advocates for a fair and accessible legal system, said she and other organizers understand that creating a comprehensive data collection system is a colossal task. But she stressed the importance of having this data to combat misinformation.

“There is a fundamental misunderstanding of how the law works and how it protects survivors,” she said.

Staudt suggested the council publish all the data it collects on an ongoing basis.

“There needs to be a lot of public education about how the system actually works and how it differs from the current system,” she said.

Yet the data is only part of what organizers believe needs to be done to ensure survivors receive adequate help.

In a report released in August, Chicago Appleseed assessed the Cook County Domestic Violence Courthouse in Chicago and offered recommendations to improve its current practices. These included making domestic violence court hours more flexible and accessible to survivors, expanding legal and social services, improving court training and working more closely with advocacy groups. that could help survivors outside of court.

“The justice system won’t be the solution for everyone who has a domestic violence problem,” Staudt said. “We need to have services available in the community that reach survivors in different ways.

This article was produced in partnership with Report for America.

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Data Collection Software Market Share 2022: Global Industry https://neoagent.net/data-collection-software-market-share-2022-global-industry/ Tue, 06 Sep 2022 12:27:00 +0000 https://neoagent.net/data-collection-software-market-share-2022-global-industry/ 📝Global Data Collection Software Market 2022-2028, By Product Type (Cloud-Based, On-Premise), By Application End User (Financial Services, Government, Healthcare, Manufacturing, Media, Retail) retail, other) and Geography (Asia-Pacific, North America, Europe, South America, Middle East & Africa), segments and forecast from 2022 to 2028. According to our recent study, the global collection software market size of […]]]>

📝Global Data Collection Software Market 2022-2028, By Product Type (Cloud-Based, On-Premise), By Application End User (Financial Services, Government, Healthcare, Manufacturing, Media, Retail) retail, other) and Geography (Asia-Pacific, North America, Europe, South America, Middle East & Africa), segments and forecast from 2022 to 2028. According to our recent study, the global collection software market size of data is estimated at US$1 million in 2021 and is projected at a scaled size of US$ million by 2028 with a CAGR of % during the review period.

Overview and Scope of Data Collection Software Market:

In addition to regional, application-specific, and type-specific information, the Data Collection Software market research also provides market production data, market share, revenue, and growth rate for each major company. Additionally, the study contains qualitative and quantitative assessments of the market for the predicted period. The research paper also covers a variety of business opportunities and growth potential.

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⏩ The Following Key Players are Covered in the Data Collection Software Market Report:

Logikcull, AmoCRM, Tableau, Looker, Netwrix Auditor, Drag, Forms On Fire, Castor EDC, Zoho Forms, Formstack, AnswerRocket, Forest Metrix, Fivetran, EasyMorph, CXAIR, WebFOCUS, GoSpotCheck, Phocas, Startquestion, Poimapper, Dub InterViewer, Plotto

The Data Collection Software market study reveals market risks and restraints along with the impact of different regulatory regimes which helps executives to create a plan for the business. This document has been written with the aim of helping companies make better decisions and achieve their main objectives. The global market report includes an in-depth analysis of the region with the highest growth rate, graphical representation of geographical distribution, regions with highest market revenue, market size, position, upcoming innovations, geographic distribution, administrative policies, and important corporate profiles and strategies.

⏩ Market segmentation

The analysis splits the Data Collection Software market into segments based on platform, product, capacity, and geography to give readers a comprehensive understanding of the industry. Based on current and forecasted trends, every aspect of this market has been examined. The global data collection software market is segmented into four categories: company, type, application and geography (country). In-depth segmental analysis now focuses on revenue and forecast by location (country), type and application.

⏩ As follows: Data Collection Software Market Segmentation:

▶Key Players Mentioned in Data Collection Software Market

Logikcull, AmoCRM, Tableau, Looker, Netwrix Auditor, Drag, Forms On Fire, Castor EDC, Zoho Forms, Formstack, AnswerRocket, Forest Metrix, Fivetran, EasyMorph, CXAIR, WebFOCUS, GoSpotCheck, Phocas, Startquestion, Poimapper, Dub InterViewer, Plotto

▶Segmentation by type

Cloud-based, on-premises

▶Segmentation by applications

Financial Services, Government, Healthcare, Manufacturing, Media, Retail, Others

▶Segmented by region/country

North America
Europe
China
Japan
Asia Other

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⏩ Competitive landscape

Global Data Collection Software Market competitive analysis section includes insights and trade insights. The competition, market overview by company status and business outlook by region are some of the information presented. These companies are taking full advantage of product launches, collaborations, technical breakthroughs, agreements and partnerships to increase market compensation.

⏩ Regional outlook

The Data Collection Software market is geographically divided into several key areas, each having their own revenue, market share, sales, and growth rate. Europe, South America, North America, Asia-Pacific, Middle East and Africa are just some of the regions covered. Latin America is expected to have a modest share of the global market in terms of value, while North America is expected to maintain its global market dominance and gain significant market share by volume and value.

⏩ Conclusion

The study is based on first-hand experience, qualitative and quantitative analysis by industry analysts, and feedback from key market players and industry experts. Segment by segment, the study examines the evolution of the parent industry, the micro and macroeconomic indicators, the determining factors and the attractiveness of the market. The study also demonstrates how various market parameters impact the geography and market segmentation in terms of quality.

⏩ Table of Contents – Analysis of Key Points

Chapter 1. Executive Summary

Chapter 2. Global Market Definition and Scope

Chapter 3. Global Market Dynamics

Chapter 4. Global Data Collection Software Market Analysis

Chapter 5. Global Data Collection Software Market, By Type

Chapter 6. Global Data Collection Software Market, By Application

Chapter 7. Global Data Collection Software Market, Regional Analysis

Chapter 8. Competitive Intelligence

Chapter 9. Key Company Analysis

Chapter 10. Research Process

Continued…

⏩ Why You Should Buy This Data Collection Software Market Report:

☑ The report analyzes regional growth trends and future opportunities.
☑ Detailed analysis of each segment provides relevant information.
☑ Data collected in the report is reviewed and verified by analysts.
☑ This report provides realistic information on supply, demand and future forecasts.

✔ Browse Full Details of Data Collection Software Market Report with TOC and List of Tables – https://www.eonmarketresearch.com/data-collection-software-market-98720

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