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Filings buzz in the mining industry: 25% decrease in digitalisation mentions in Q3 of 2021 – Mining Technology

Mentions of digitalisation within the filings of companies in the mining industry fell 25% between the second and third quarters of 2021.

In total, the frequency of sentences related to digitalisation between October 2020 and September 2021 was 480% higher than in 2016 when GlobalData, from whom our data for this article is taken, first began to track the key issues referred to in company filings.

When companies in the mining industry publish annual and quarterly reports, ESG reports, and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Digitalisation is one of these topics companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

To assess whether digitalization is featuring more in the summaries and strategies of companies in the mining industry, two measures were calculated. Firstly, we looked at the percentage of companies which have mentioned digitalization at least once in filings during the past twelve months this was 63% compared to 31% in 2016. Secondly, we calculated the percentage of total analysed sentences that referred to digitalisation.

Of the 50 biggest employers in the mining industry, Metalurgica Gerdau SA was the company which referred to digitalisation the most between October 2020 and September 2021. GlobalData identified 33 digitalisation-related sentences in the Brazil-based company's filings 3.2% of all sentences. Tata Steel Ltd mentioned digitalisation the second most the issue was referred to in 1.2% of sentences in the company's filings. Other top employers with high digitalisation mentions included MMC Norilsk Nickel, Severstal, and Sandvik AB.

Across all companies in the mining industry, the filing published in the third quarter of 2021 that exhibited the greatest focus on digitalisation came from Metalurgica Gerdau SA. Of the document's 1,030 sentences, 33 (3.2%) referred to digitalisation.

This analysis provides an approximate indication of which companies are focusing on digitalisation and how important the issue is considered within the mining industry, but it also has limitations and should be interpreted carefully. For example, a company mentioning digitalisation more regularly is not necessarily proof that they are utilising new techniques or prioritising the issue, nor does it indicate whether the company's ventures into digitalisation have been successes or failures.

In the last quarter, companies in the mining industry based in Eastern Europe were most likely to mention digitalization with 0.58% of sentences in company filings referring to the issue. In contrast, companies with their headquarters in the US mentioned digitalisation in just 0.07% of sentences.

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Datasea Announces Research Partnerships Focus on Acoustic Intelligence and Releases Chinas Inaugural White Paper to Provide Technology Insights and…

BEIJING, Jan. 18, 2022 (GLOBE NEWSWIRE) -- Datasea Inc. (NASDAQ: DTSS, the "Company" or Datasea), a digital technology company incorporated in Nevada in 2014 and engaged in three converging and innovative business segments: 5G messaging, acoustic intelligence and smart city in China, today announced that it has entered into partnerships with Chinese leading research institutes to unlock the full potential of acoustic intelligence in the commercial applications. The Company released Chinas inaugural white paper with co-authors, Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology to uncover detailed facts and compelling analyses of the acoustic-intelligence technology, commercial applications, and the industry outlook.

Datasea commits to tap acoustic intelligence's full business potential and wields acoustic intelligence across industries in meaningful ways. Datasea has entered into partnerships with leading institutions in China with the aim of 1) promoting the formulation of acoustic intelligence technology standards and expanding the leadership in the industry; 2) building an ecosystem to expedite research and development of new products; and 3) enhancing research capability and talent retention for the Company in the long run. Datasea's research partners include Acoustics Research and Communication Laboratory of the Chinese Academy of Sciences, the Cloud Computing and Big Data Institute of the China Academy of Information and Communications Technology, and Beijing Union University.

In the white paper entitled "Industry Development and Technology Application of Acoustic Intelligence in China," Datasea dives deeply into the current and future use cases of acoustic intelligence in China and outlines the introduction of acoustic intelligence, technology development, commercial applications and industry outlook to provide technical insights and guide industry development. Some topics in the white paper are summarized as follows:

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What is acoustic intelligence? Acoustic intelligence is a new field that integrates fundamental acoustic theory with artificial intelligence to gather and process acoustic data and solve problems.

Acoustic-intelligence industry in China. The supply chain of the acoustic-intelligence industry involves acoustic hardware equipment, acoustic-intelligence tech services and scenario-based solutions. Acoustic intelligence is rapidly incorporated into industries like environmental and medical care and becomes the driving force of industrial transformation and upgrade. According to the "Feasibility Study Report on Chinas Acoustic Device Market 2021-2025" released by Newsijie Research Center, China's acoustic device market is expected to grow at a compound annual growth rate of 15.6% and reach 46 billion yuan (USD 7.23 billion) by 2025. Acoustic intelligence is expected be a fast-expanding market with great potential in the next five years.

Acoustic-intelligence applications. There can be numerous real-world applications with acoustic-intelligence systems. The adoption of acoustic intelligence is in three layers: terminal, technology, and application. The terminal layer is mainly responsible for data collection and processing, and the acoustic intelligence is integrated with the sound acquisition chips and sensors. The technology layer is primarily responsible for data mining, learning and intelligent processing, and the acoustic intelligence featured in acoustic phonetics, environmental acoustics, and voiceprint recognition. The application layer mainly realizes the integration and development of acoustic intelligence at the industry level, and can serve both institutional and individual end users. Top applications include smart city, transportation, environment protection, manufacturing, healthcare, medical beauty, agriculture, smart homes, among others.

Future of acoustic intelligence. China's acoustic-intelligent industry is under rapid expansion. In the future, acoustic intelligence will be more mature with extensive applications. With the integration of acoustic intelligence, scenario-based solutions will be enhanced. Technological progress will unlock tremendous business opportunities and potentials in real economy.

To date, Datasea has completed the technology development, product design, supply chain management and marketing plans for a series of acoustic hardware products in six major industries and application areas, including but not limited to healthcare, medical beauty, environmental protection and agriculture. The three flagship products, including Tianer voice recognition alarm, ultrasonic sound sterilization and antivirus equipment, and brain refreshing acoustic equipment are expected to be introduced to the market in fiscal year of 2022.

"At Datasea, we firmly believe in using innovation to provide convenience and choice to customers and commit to staying ahead of the emerging market trends. We are delighted to be joining forces with leading research institutions and match our innovative drive with the highest standards of product research and quality, said Datasea CEO, Zhixin Liu. Datasea's white paper conducts a systematic forecast on acoustic intelligence evolution and adoption, demonstrating our capability to disrupt and accelerate applications. Intending to illustrate the future possibilities held by acoustic intelligence, the paper closes with Dataseas future vision on development of mainstream adoption.

The white paper entitled Industry Development and Technology Application of Acoustic Intelligence in China can be downloaded from the Datasea site here: http://www.dataseainc.com/templets/default/WhitePaper/20220113.pdf

About Datasea Inc. Datasea Inc., through its variable interest entity, Shuhai Information Technology Co., Ltd., a digital technology company in China, engages in three converging and innovative industries: 5G messaging, acoustic intelligence and smart city. Datasea leverages facial recognition technology and other visual intelligence algorithms, combined with cutting-edge acoustic and non-visual intelligence algorithms, to provide smart city solutions that meet the security needs of residential communities, schools and commercial enterprises. Most recently, in response to the growing utilization of 5G technologies and the overall initiative to utilize Dataseas technology capabilities to expand business coverage and revenue resources, Datasea also strategically expands business coverage to 5G messaging and smart payment solutions. Datasea has been certified as one of the High Tech Enterprises (jointly issued by the Beijing Science and Technology Commission, Beijing Finance Bureau, Beijing State Taxation Bureau and Beijing Local Taxation Bureau) and one of the Zhongguancun High Tech Enterprises (issued by the Zhongguancun Science Park Administrative Committee) in recognition of the Companys achievement in high-technology products. For additional company information, please visit: http://www.dataseainc.com. Datasea routinely posts important information on its website.

Cautionary Note Regarding Forward-Looking Statements This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934 and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will", "expects", "anticipates", "future", "intends", "plans", "believes", "estimates", "target", "going forward", "outlook," objective and similar terms. Such statements are based upon management's current expectations and current market and operating conditions, and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and which are beyond Datasea's control. They may cause Datasea's actual results, performance or achievements (including the RMB/USD value of its anticipated benefit to Datasea as described herein) to differ materially and in an adverse manner from anticipated results contained or implied in the forward-looking statements. Further information regarding these and other risks, uncertainties or factors is included in Datasea's filings with the U.S. Securities and Exchange Commission, which are available at http://www.sec.gov. Datasea does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under law.

Datasea investor and media Contact:International Elite Capital Inc. Annabelle ZhangTelephone: +1(646) 866-7989 Email: datasea@iecapitalusa.com

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In bad news for US cloud services, Austrian websites use of Google Analytics found to breach GDPR – TechCrunch

A decision by Austrias data protection watchdog upholding a complaint against a website related to its use of Google Analytics does not bode well for use of US cloud services in Europe.

The decision raises a big red flag over routine use of tools that require transferring Europeans personal data to the US for processing with the watchdog finding that IP address and identifiers in cookie data are the personal data of site visitors, meaning these transfers fall under the purview of EU data protection law.

In this specific case, an IP address anonymization function had not been properly implemented on the website. But, regardless of that technical wrinkle, the regulator found IP address data to be personal data given the potential for it to be combined like a puzzle piece with other digital data to identify a visitor.

Consequently the Austrian DPA found that the website in question a health focused site called netdoktor.at, which had been exporting visitors data to the US as a result of implementing Google Analytics had violated Chapter V of the EUs General Data Protection Regulation (GDPR), which deals with data transfers out of the bloc.

US intelligence services use certain online identifiers (such as the IP address or unique identification numbers) as a starting point for the surveillance of individuals, the regulator notes in the decision [via a machine translation of the German language text], adding: In particular, it cannot be excluded that these intelligence services have already collected information with the help of which the data transmitted here can be traced back to the person of the complainant.

In reaching its conclusion, the regulator assessed various measures Google said it had implemented to protect the data in the US such as encryption at rest in its data centers; or its claim that the data must be considered as pseudonymous but did not find sufficient safeguards had been put in place to effectively block US intelligence services from accessing the data, as required to meet the GDPRs standard.

As long as the second respondent himself [i.e. Google] has the possibility to access data in plain text, the technical measures invoked cannot be considered effective in the sense of the above considerations, it notes at one point, dismissing the type of encryption used as inadequate protection.

Austrias regulator also quotes earlier guidance from German DPAs to back up its dismissal of Googles pseudonymous claim noting that this states:

the use of IP addresses, cookie IDs, advertising IDs, unique user IDs or other identifiers to (re)identify users do not constitute appropriate safeguards to comply with data protection principles or to safeguard the rights of data subjects. This is because, unlike in cases where data is pseudonymised in order to disguise or delete the identifying data so that the data subjects can no longer be addressed, IDs or identifiers are used to make the individuals distinguishable and addressable. Consequently, there is no protective effect. They are therefore not pseudonymisations within the meaning of Recital 28, which reduce the risks for the data subjects and assist data controllers and processors in complying with their data protection obligations.

The DPAs wholesale dismissal of any legally relevant impact of the bundle of aforementioned Technical and Organizational Measures (such as standard encryption) which were cited by Google to try to fend off the complaint is significant because such claims are the prevailing tactic used by US-based cloud giants to try to massage compliance and ensure EU-to-US data transfers continue so they can continue business as usual.

So if this tactic is getting called out here, as a result of a single websites use of Google Analytics, it can and will be sanctioned by EU regulators elsewhere. After all, Google Analytics is everywhere online.

(See also the extensive list of extremely standard measures cited by Facebook in an internal assessment of its EU-to-US data transfers in which it too tries to claim compliance with EU law, per an earlier document reveal.)

The complaint back story here is that back in August 2020 European privacy campaign group noyb filed a full 101 complaints with DPAs across the bloc targeting websites with regional operators that it had identified as sending data to the US via Google Analytics and/or Facebook Connect integrations.

Use of such analytics tools may seem intensely normal but legally speaking, in the EU its anything but because EU-to-US transfers of personal data have been clouded in legal uncertainty for years.

The underlying conflict boils down to a clash between European privacy rights and US surveillance law as the latter affords foreigners zero rights over how their data is scooped up and snooped on, nor any route to legal redress for whatever happens to their information when its in the US, making it extremely difficult for exported EU data to get the necessary standard of essentially equivalent protection that it gets at home when its abroad.

To radically simplify: EU law says European levels of protection must travel with data. While US law says were taking your data; were not telling you what were doing; and you cant do anything about it anyway, sucker!.

US cloud providers that are subject to Section 702 of the Foreign Intelligence Surveillance Act (FISA) are all in the frame which takes in a broad sweep of tech giants, including Google and Facebook, since this law applies broadly to electronic communications services.

While Executive Order 12,333, a Reagan era mandate thats also relevant as it also expanded intelligence agency powers to acquire data, is thought to target vulnerabilities in telecoms infrastructure.

The EU-US legal clash between privacy and surveillance dates back almost a decade at this point.

It was catalyized by the 2013 Snowden disclosures which revealed the extent of US government mass surveillance programs and led, back in 2015, to the EUs Court of Justice to invalidate the Safe Harbor arrangement between the bloc and the US on the grounds that EU data could no longer be considered safe when it went over the pond.

And whereas Safe Harbor had stood for around 15 years, its hastily agreed replacement the EU-US Privacy Shield lasted just four. So the lifespan of commercially minded European Commission decisions seeking to grease transatlantic data flows in spite of the massive privacy risks has been shrinking radically.

Some complaints about risky EU-to-US data transfers also date back almost a decade at this point. But theres fresh enforcement energy in the air since a landmark ruling by the CJEUin July 2020 which struck down the Commissions reupped data transfer arrangement (Privacy Shield), which since 2016 had been relied upon by thousands of companies to rubberstamp their US transfers.

The court did not outlaw personal data transfers to so-called third countries entirely. Which is why these data flows didnt cease overnight smack bang in the middle of 2020.

However it clarified that such data flows must be assessed on a case by case basis for risks. And itmade it clear that DPAs could not just turn a blind eye to compliance hi Ireland! rather they must proactively step in and suspend transfers in cases where they believe data is flowing to a risky location like the US.

In a much watched for follow-on interpretation of the court ruling, the European Data Protection Boards (EDPB) guidance confirmed that personal data transfers out of the EU may still be possible if a set of narrow circumstances and/or conditions apply. Such as the data can be genuinely anonymized so that it is truly no longer personal data.

Or if you can apply a suite of supplementary measures (such as technical stuff like applying robust end-to-end encryption meaning theres zero access to decrypted data possible by a US entity) in order to raise the level of legal protection.

The problem for adtech firms like Google and Facebook is that their business models are all about accessing peoples data. So its not clear how such data-mining giants could apply supplementary measures that radically limit their own access to this core business data without a radical change of model. Or, well, federating their services and localizing European data and processing in the EU.

The Austrian DPA decision makes it clear that Googles current package of measures, related to how it operates Google Analytics, is not adequate because it does not remove the risk of surveillance agencies accessing peoples data.

The decision puts heavy underscoring on the need for any such supplementary measures to actually enhance standard provisions if theyre to do anything at all for your chances of compliance.

Supplementary of course means extra. tl;dr you cant pass off totally standard security processes, procedures, policies, protocols and measures as some kind of special Schrems II-busting legal magic, no matter how much you might want to.

(A quick comparable scenario that might hammer home the point: One cant legally speaking hold a party during a pandemic if lockdown rules ban social gatherings simply by branding a bring your own bottle garden soire as a work event. Not even if youre the prime minister of the UK. At least not if you want to remain in post for long, anyway )

Its fair to say that the the tech industry response to the Schrems II ruling has been a massive, collective putting of heads into sand. Or, as the eponymous Max Schrems himself, honorary chair of noyb, puts it in a statement: Instead of adapting services to be GDPR compliant, US companies have tried to simply add some text to their privacy policies and ignore the Court of Justice. Many EU companies have followed the lead instead of switching to legal options.

This charade has been possible because to date there hasnt been much regulatory renforcement following the July 2020 ruling.

Despite the European Data Protection Board warning immediately that there would be no grace period for coming into compliance.

To the untrained eye that might suggest the industrys collective strategy of ignoring the legal nightmare wrapping EU-to-US transfers in the hopes the problem would just go away has been working.

But, as the Austria decision indicates, regulatory gears are grinding towards a bunch of rude awakenings.

The European Commission which remains eager for a replacement to the EU-US Privacy Shield has also warned there will be no quick fix this time around, suggesting major reforms of US surveillance law are required to bridge the legal divide. (Although negotiations between the Commission and the US on a replacement data transfer agreement are continuing.)

In the meanwhile Schrems II enforcements are starting to flow and orders to cease US data flows may soon follow.

In another sign of enforcement ramping up, the European Data Protection Supervisor (EDPS) just this week upheld a complaint against the European Parliament over US data transfers involving use of Google Analytics and Stripe.

The EDPS decision reprimands the parliament and also orders it to fix outstanding issues within one month.

The other 101 complaints noyb filed back in 2020 are also still awaiting decisions. And as Schrems notes EU DPAs have been coordinating their response to the data transfer issue. So theres likely to be a pipeline of enforcements striking at usage of US cloud services in the coming months. And, well, a lot of sand falling out of eyes.

Heres Schrems on the Austria DPAs reasoning again: This is a very detailed and sound decision. The bottom line is: Companies cant use US cloud services in Europe anymore. It has now been 1.5 years since the Court of Justice confirmed this a second time, so it is more than time that the law is also enforced.

We expect similar decisions to now drop gradually in most EU member states, he adds, further noting that Member State authorities have been coordinating their response to the flotilla of complaints (the EDPB announced a taskforce on the issue last fall).

In the long run we either need proper protections in the US, or we will end up with separate products for the US and the EU, Schrems also said, adding: I would personally prefer better protections in the US, but this is up to the US legislator not to anyone in Europe.

While netdoktor has been found to have violated the GDPR, its not clear whether it will face a penalty as yet.

It may also seek to appeal the Austrian DPAs decision.

The company has since moved its HQ to Germany, which complicates the regulatory jurisdiction component of this process and means it may face additional enforcement, such as an order banning transfers, in a follow on action by a German regulator.

There is another notable element of the decision that has gone Googles way for now.

While the regulator upheld the complaint against netdoktor it did not find against Googles US business for receiving/processing the data deciding that the rules on data transfers only apply to EU entities and not to the US recipients.

That bit of the decision is a disappointment to noyb which is considering whether to appeal with Schrems arguing: It is crucial that the US providers cannot just shift the problem to EU customers.

noyb further flags that Google may still face some pending sanction, however, as the Austria DPA has said it will investigate further in relation to potential violations of Article 5, 28 and 29 GDPR (related to whether Google is allowed to provide personal data to the US government without an explicit order by the EU data exporter).

The DPA has said it will issue a separate decision on that. So Google may yet be on the hook for a GDPR breach in Austria.

Penalties under the regulation can scale as high as 4% of a companys annual global turnover. Although orders to ban data transfers may ultimately prove a lot more costly to certain types of data-mining business models.

To wit: Long time EU privacy watchers will be aware that Facebooks European business is on penalty time in Ireland over this same EU-US transfers issue. A preliminary order that Facebook suspend transfers was issued by Ireland in fall 2020 triggering legal action from the social media giant to try to block the order.

Facebooks court challenge failed but a final decision remains pending from the Irish regulator which promised noyb a swift resolution of the vintage complaint a full year ago. So the clock really is ticking on that data transfer complaint. And someone should phone Metas chief spin doctor, Nick Clegg, to ask if hes ready to pull the plug on Facebooks European service yet?

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10 Reasons why Big Data is the Future of India – Analytics Insight

IT workers with analytics expertise are in high demand as businesses attempt to maximise the potential of big data

Thanks to technological improvements such as greater access to massive volumes of data, big data has a bright future ahead of it, allowing organisations to gain more insights, increase performance, generate revenue, and evolve more swiftly. Data and analytics, as well as artificial intelligence (AI) technologies, will be critical in the quest to predict, prepare for and respond proactively and quickly to a global recession and its effects.

Data is meaningless without the expertise to evaluate it, says Jeanne Harris, a senior executive at the Accenture Institute for High Performance. There are many more job openings in big data and analytics this year than there are now last year, and many Technology professionals are willing to put in the time and money to learn. Indeed.coms job system to measure for data analytics shows that there is still a rising trend for it and as a result, the number of employment possibilities is steadily increasing.

The demand for analytical talents is rapidly increasing, yet there is a significant supply gap. This is happening all across the world and isnt limited to a specific spot. Regardless of the fact that data analytics is a popular career, there are still a lot of unfilled positions due to a global skills shortage. According to a McKinsey Global Institute study, the United States would be short 190,000 data scientists and 1.5 million managers and analysts that can analyse and make choices based on big data by 2018.

The increasing importance of data analytics expertise is driving up rates for competent experts, and big data is willing to pay top dollar for the right people. According to the Institute of Analytics Professionals of Australia (IAPA2015Skillsand)s Compensation Survey Report, the annual median salary for data analysts in Australia is US$130,000, up 4% from the previous year. IAPAs membership has increased to over 5000 members in Australia since its inception in 2006, reflecting the growing demand for analytics experts.

Data analytics is one of the top objectives for the organisations who participated in the study, according to the conclusions of the Advanced Research with Big Data Analytics research, since they feel it enhances their businesses performance. More than 60% of respondents said big data technology helps them improve their social media marketing abilities in their sector. The QuinStreet poll supports the notion that analytics is the need of the hour among large enterprises.

Increasingly complex data analytics on vast, heterogeneous datasets has become simpler thanks to technological advancements. According to the survey, more than a quarter of respondents are now employing analytics tools on large datasets for jobs such as business analytics, predictive modelling, and data mining. The usage of crucial analytics technology has expanded as a result of data analytics offering a competitive advantage.

Many businesses use analytics as a competitive advantage. Without a question. According to Tom Davenports Analytics Advantage poll, 96% of respondents believe analytics will grow more vital to their companies. This is due to the large amount of data that is not being utilised, and only rudimentary analytics are being performed at this time. About 49% of respondents feel that analytics is a critical aspect in improving decision-making abilities. Another 16% think its great because of its excellent strategic efforts.

According to a big data analytics survey, unstructured and semi-structured analytics are rapidly growing in popularity. Weblogs, social networks, e-mail, photos and multimedia are among the unstructured data sources being processed and analysed by 84% of respondents. The remaining respondents stated that they are in the process of putting them into action within the next 12 to 18 months.

Big data analytics came out on top in a Nimbus Ninety poll as being the most disruptive technology that will have the most impact in three years. Over the 2020-2025 timeframe, the data analytics global market for apps and analytics technology will expand at a 32% CAGR, while cloud Technology will grow at a 20 percent CAGR, computing technology will grow at a 10% CAGR and NoSQL technology will develop at a 20 percent CAGR.

From a professional aspect, there are several possible choices in terms of industry and employment type. There is a multitude of job descriptions available because analytics is employed in several different businesses. Data scientists earn more than 75 lakh per year, ascompared to 8-15 lakh for CAs as well as 5-8 lakh for engineers with the same level of experience. The US$2 billion data and analytics business is encouraging graduates because of a skewed demand-supply imbalance.

Because of its numerous benefits, big data analytics is undoubtedly in high demand. The enormous growth is indeed due to the wide range of industries in which Analytics is used. The image below shows the various job opportunities available in various domains.

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Greater Texas | Aggieland Credit Union Launches Insurance Agency Through Partnership with Insuritas – Insurance News Net

Greater Texas | Aggieland Credit Union has partnered with Insuritas to offer insurance brokerage services to its more than 60,000 members.

EAST WINDSOR, CONNECTICUT, USA, January 18, 2022 /EINPresswire.com/ -- Aggieland Insurance Solutions, a wholly-owned subsidiary of Greater Texas Credit Union, offers personal, ancillary, and commercial insurance products following Greater Texas convenient, digital-first member services model. Greater Texas | Aggieland Credit Union, partnered with Insuritas to offer insurance brokerage services to more than 60,000 members.

As part of our strategic planning process, we assessed the services available to our members. After careful analysis, we determined that with Insuritas, we can provide our members with new options to help them work toward their financial goals and manage their risks, said Greater Texas Vice President of Financial Solutions Joe James. Affordability, convenience, and quality of insurance offerings are some of the benefits the agency will provide our members.

The Greater Texas | Aggieland Insurance Solutions will include more than 40 carrier partners with products such as home, renters, auto, pet, identity theft, and travel, among many others.

Were delighted to announce our relationship with Greater Texas Credit Union and are proud to have earned the opportunity to build, launch, and manage a full-service, digitally-powered insurance agency for their members, said Insuritas Chairman and CEO Jeffrey Chesky. Through our relationship, the credit union will now be able to provide simple, seamless access to competitive options for their members insurance needs, all with a focus on delivering the right coverages at the right price at the right time.

About Greater Texas | Aggieland Credit UnionGreater Texas Credit Union, founded in 1952, is a financial cooperative that provides an array of personal financial products and services. Together with its subsidiary, Aggieland Credit Union which serves the Brazos Valley it offers a wide variety of consumer-oriented banking services to its 77,000 members across the state of Texas. Greater Texas has locations in Austin, Houston, San Antonio, Bryan-College Station, Edinburg, and the DFW market with assets of nearly $1 billion. For more information, visit http://www.gtfcu.org.

About InsuritasThe Insuritas mission is to connect people to the insurance products they need through a seamless, transparent shopping experience where carriers compete to provide them with the right coverage at the right price. The Insuritas meta-agency platform, deployed across a network of partners serving over 10M customers nationally, empowers financial institutions to leverage proprietary data-mining techniques and integrations with a broad array of insurance carriers to make highly personalized, digitally optimized insurance offers to their depositors, all within their brand. These strategies help further their commitment to the financial well-being of their customers while driving a critical source of non-interest income for their institution. For more information, visit http://www.insuritas.com.

Jeffrey CheskyInsuritas+1 860-653-1134[emailprotected]

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The 5 Best Data Analytics Tutorials on YouTube to Watch Right Now – Solutions Review

This list of the best data analytics tutorials on YouTube will introduce you to the topic and help provide a jump-start to your career in the field.

Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. Data analytics deals less in AI, machine learning, and predictive modeling, and more with viewing historical data in context.

Learning data analytics can be a complicated process, and its not easy to know where to start. As a result, our editors have compiled this list of the best data analytics tutorials on YouTube to help you learn about the topic and hone your skills before you move on to mastering it. All of the videos here are free to access and feature guidance from some of the top minds and biggest brands in the online learning community. All of the best data analytics tutorials listed tout a minimum of 100,000 views.

Note: Dont forget to subscribe to Solutions Review on YouTube!

Author: freeCodeCamp

Description: In this tutorial, youll learn the whole process of data analysis like reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualizing them using Matplotlib and Seaborn, and cleaning and processing it to create reports.

Author: codebasics

Description: If you want to learn data analyst skills and arent sure where to start, this resource from codebasics offers a three-month step-by-step roadmap to acquire notable skills using free online resources. You can also gain access to a complete data analyst roadmap at this link.

Author: Simplilearn

Description: This video on data analytics In Excel full course will help you will understand the various crucial functions available in Excel, such as vlookup, hlookup, sumif/s, counif/s, iferror and others. You will also see how to use the data analysis toolpak to perform various data analysis operations.

Author: Edureka

Description: This Edureka tutorial on data analytics for beginners will help you learn the various parameters you need to consider while performing data analysis. It outlines topics like statistics, data cleaning and manipulation, data visualization, machine learning, and hands-on practice.

Author: Simplilearn

Description: In this data analytics full course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then be exposed to a case study and perform analysis of data using Python and R.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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What UAE jobs will be in demand for the next 10 years? Find out – Gulf News

Dubai: Want to be working in the most in-demand roles in the UAE? Theres good news if you love working with programming softwares, data and technology.

The jobs in the UAE, in the next 10 years, will focus largely on Artificial Intelligence, Machine Learning, and automation, based on a list posted by Ministry of Human Resources and Emiratisation (MOHRE) recently.

On January 6, the Ministry took to its social media channels to highlight the jobs that would be in demand in the UAE, with the post reading: The UAE labour market is undergoing constant changes as a result of rapid technological developments and modern techniques. What will the UAE jobs be for the next 10 years?

Gulf News spoke to recruitment specialists in the field of technology to understand what each role means and the skills you would need to succeed in such jobs.

As per Billy Bilton, Senior Recruitment Consultant at HAYS Technology, with most of the job roles focusing on Artificial Intelligence, Machine Learning and Data science and analysis, the most popular fields are that of mathematics, physics, computer science and statistics.

A lot of companies are becoming more digitally focused and more brick-and-mortar companies are becoming accessible online. More companies have access to different data tools and artificial intelligence and are developing products and platforms, which use algorithms that are based on metadata analytics and machine learning. For most of these jobs, you would need some kind of a quantitative and analytical background, where you have the skills needed to analyse and gather structured and non-structured data. The ideal candidate who would have a good understanding of different data modules and techniques like deep learning, reinforcement learning and machine learning, Bilton said.

- Billy Bilton, Senior Recruitment Consultant at HAYS Technology

He added that qualifications for such jobs could include a PhD in computer science, physics, cybernetics, chemistry or robotics.

It is a range most clients would expect a degree in one of these and then prefer a masters or PhD in further learning, he added.

1. Scientists

In the list of occupations, the first role highlighted by MOHRE was that of scientists.

2. Data analysts

The second occupation on the list posted by MOHRE was that of a data analyst. As per Bilton, this role would require an applicant to have in-depth knowledge of Software programming, programming in languages such as SQL (Structured Query Language), XML (Extensible Markup Language) and JavaScript (another programming language).

3. Machine learning specialists

Speaking about the role of a Machine Learning specialist, Bilton said applicants for such job roles would need knowledge of Artificial Intelligence frameworks like TensorFlow or PyTorch, in order to develop algorithms and for software programming.

An understanding of the cloud computing world is also preferred, he added.

4. Artificial intelligence specialists

This would refer to someone who can build AI functionally into software applications someone who can integrate and implement AI algorithms and have knowledge of different technologies and strategies and a good knowledge of data science, Bilton said.

5. Ecommerce and strategies specialists

While this role would require someone to have an understanding of online sales strategies, it would also overlap with a background in computer science.

This will be someone who is going to be an expert in online sales strategies and knows how to work on various platforms involved in digital transformations as well. So, a degree in online sales and marketing would be ideal, but also a background in computer science, as they need to work with technical development, branding and design teams, Bilton said.

6. Big data specialists

This role would also require data gathering, sorting and analysis, but at much larger scales whether it is the customer base of a multinational brand or a countrys demographic.

This candidate would need to analyse big chunks of data, so a bachelors degree in computer science or information management would be required, and may require the candidate to have experience in a data centric or analytical industry, Bilton said.

While you would need to deal with data models and database design, an important skill that you would need, according to Bilton, is data mining and segmentation techniques.

Then, you would need to have an understanding of the programming side of things, which would be SQL, XML and Javascript. This person would ideally be coming from a statistics or an analytical background, he said.

High demand

With most companies headed in the direction of automation and technology, these are the industries where the money is being invested, said Jeron Van Den Elshout, the Assistant Vice President of AIQU, a specialised tech recruitment agency.

Many companies are investing heavily in machine learning and data analytics and this trend is only expected to grow in the coming years. Equipping machines with the ability to learn from data not only enables them to automate tasks and improve productivity but it also helps optimise data insights. And as we know, data drives business decision-making today, he told Gulf News.

- Jeron Van Den Elshout, the Assistant Vice President of AIQU, a specialised tech recruitment agency.

There is a growing need for data scientists and analysts to help navigate a disruptive marketplace, governed by big data. This is why demand for roles like Data Analysts, Data Engineers and Machine Learning Specialists are skyrocketing, ranking highly amongst the most in-demand jobs in todays workforce, he said.

Building a skill set for future jobs

Elshout added that, in general, data scientists and engineers would have related degrees with a software development component in either statistics, mathematics, engineering as a base or a course in programming languages like SQL, or data visualisation softwares like Tableau, power BI or the MS stack set of application tools.

Careers in data science offer a wide variety of job roles and titles from Data Architect, Data Engineers, Data Analysts and Data Scientists. They are required to continuously upskill their technical skills to stay up to date and with relevant expertise in programming languages they tend to get recruited in high paying roles. Machine Learning, on the other hand, falls under Artificial Intelligence as a subset and the degrees between the two are often interchangeable. These would be people who have worked with analytics statistics, mathematics, engineering to formulate models that can be used to code language that the machine then uses to learn from big data, he added.

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Cryptocurrency Investing | Cryptocurrency Investment Types …

Why have cryptocurrencies like Bitcoin become so popular?

News about Bitcoin and other cryptocurrencies have been impossible to ignore. Investors hear news about overnight millionaires who lose their fortunes just as quickly. For example, a single bitcoin ranged in price from $1,000 in early 2017 to a high of over $64,000 in April 2021, with intense volatility in between.

Like many new technologies or products, cryptocurrency has attracted adherents interested in innovation and the perceived absence of governmental control. Traders saw it as an alternative to traditional investments such as stocks, bonds, and cash, and trading momentum led to a rising, if highly volatile, price. All of this attracted media attention, which drove mainstream awareness and, ultimately, increasing acceptance. Major companies, including Microsoft, PayPal, and Overstock now accept Bitcoin as a form of payment.

Cryptocurrencies are speculative investments, with significant volatility of cryptocurrency prices and the prices of indirect investments that have exposure to the cryptocurrency market. Cryptocurrency doesn't fit within traditional asset allocation models, as it is neither a traditional commodity, such as gold, nor a traditional currency. Its volatility is driven primarily by supply and demand, not inherent value. Bitcoin, for example, doesn't have earnings or revenues. It doesnt have a price-to-earnings ratio, price-to-sales ratio, or book value. Traditional value metrics don't apply, so there are no methods for assessing its value that we endorse or find persuasive beyond the trading value. Considering its volatility and the possibility that the entire value of a cryptocurrency investment could disappear, investors who dont think they could handle the market swings might want to steer clear.

There is also cryptocurrency risk besides volatility, as no regulatory infrastructure is in place for cryptocurrencies. Nothing exists yet to back you up like the Federal Deposit Insurance Corporation does for U.S. bank customers. That means investors are entirely responsible for the security of any cryptocurrency spot holdings. The SEC has noted that with cryptocurrencies, there is "substantially less investor protection than in our traditional securities markets, with correspondingly greater opportunities for fraud and manipulation."

Though you can get exposure to cryptocurrencies in multiple ways at Schwabtrusts, futures, and individual equitiesyou cannot currently buy or sell individual cryptocurrencies directly in a Schwab account.

We understand there is some client interest and engagement in cryptocurrencies, and we are looking closely and cautiously at this space. Clarity from regulators will be important before we consider offering a retail cryptocurrency experience. If we do, you can expect it to be a great value, designed to support client need and surrounded by the advice and education our clients have come to expect from us and deserve.

No, Schwab does not accept cryptocurrency deposits, nor do we accept or disburse cryptocurrencies for settlement of securities or futures transactions.

Some ETF products are available that provide indirect exposure to cryptocurrency and digital assets. Schwab clients can trade them in their brokerage account. They can be found in the Morningstar categories "Sector-Miscellaneous" and "Trading-Miscellaneous" using Schwab'sETF Fund Finder tool.

While several investment firms have submitted applications to the SEC for ETFs that hold cryptocurrency directly, none have been approved to trade in US markets.

Yes, a futures account is required to trade Bitcoin futures contracts, and certain requirements must be met to trade futures. Clients can log in and apply online to open a futures account.

The IRS treats cryptocurrency as property, not currency. Transactions in cryptocurrency spot markets are thus considered taxable by the Internal Revenue Service (IRS) whenever a taxable event occurs, such as selling cryptocurrency for a fiat currency (i.e., U.S. Dollars, Euros, etc.) or when traded for another asset. Investors are responsible for tracking cost basis, gains, and other reporting. If you have questions or concerns about the potential tax implications of transacting in cryptocurrencies, you should refer to this IRS publication or consult with a tax advisor.

Blockchain is the underlying technology that supports cryptocurrencies like Bitcoin. It is an open-source, public record-keeping system operating on a decentralized computer network that records transactions between parties in a verifiable and permanent way. Blockchain provides accountability, as the records are intended to be immutable, which presents potential applications for many businesses. While blockchain has often been associated with cryptocurrency, it has many potential uses beyond payments, including smart contracts, supply chain management, and financial services. Note that ownership of Bitcoin or other cryptocurrencies is not an investment in blockchain, the technology, or its current or future uses.

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Beginner’s Guide | CryptoCurrency.org

Getting to know the technology

Those who follow the technology that is related to CryptoCurrencies are convinced that the technology of blockchain will change the world and remain with us forever. Its significance is often compared to that of the internet itself - the technology, they say, will provide and endless number of second layer applications that use the network of Bitcoin. In the early days, the internet was thought to be the same as e-mail only; now, of course, we know that it was the foundation of solutions that turned our previous world and economy upside down.

In order to buy CryptoCurrency, you need to, at least on a basic level, become familar with how the stock exchange works and what the roles of the brokers are. Unless you have someone you trust with up-to-date, working knowledge of this topic, you should take the time and get to know this topic as well in order to use it successfully.

Since this is a new area, many frauds try to make money on people gullibility and greed. It is essential to be able to differentiate between a legitimate crypto-project and a simple con. Therefore, we need to know some basic concepts and be able to use the tools that rank CryptoCurrencies according to their different features. Also, you need to recognize when someone wants to scam you before investing in a project. If the people that want to do business with you are rarely available and you find no information on them, their introductory materials are full of empty phrases without any substance.

While this is not closely related to the technology itself, this may be one of the most crucial elements of your knowledge. When do people buy? When do they sell? What is it like when the market panics, how do you recognize when it is happening?

Does who have prior experience with stock exchange definitely have and advantage - no wonder that many veterans of the exchange switched to dealing with CryptoCurrencies in the past years. Also, it is worth mentioning that although CryptoCurrencies and the way the move have many common features with the classic stock exchange, dealing with CryptoCurrency is still a completely new are and it is hard to see in advance what will happen in a few years' time.

The first time people buy Bitcoin they usually do it with the aim of leaving their investment alone for a couple of years. They later realize, that no matter where the market moves, they can't not deal with their investment, since more often than not, they put more into it than they should have. Basically, you should never put more into it than what you don't care if you lose, without getting worked up about it.

You can buy CryptoCurrencies from different platforms, brokers and exchanges. You can store them in a specialized electronic wallets or on paper. - we are dealing with how to buy and store them later.

Using the shifting of the exchange rates, most beginners start with this area with altcoins (everything other than Bitcoin). Due to the (seemingly) easy profit, they jump into different deals without thinking them over. Trading goes through CryptoCurrency exchanges like the traditional Forex platform, but we trade with CryptoCurrency instead of USD or EUR. Some exchanges allow you to trade with USD as well, like Kraken. Getting profit from the shifting of exchange ratio is an interesting question - our portfolio might shrink in dollar value, but grow in BTC.

When you decide to buy CryptoCurrencies, you need to create an account on a site that makes buying and selling them possible. Whether its a simple broker or a stock exchange, due to security concerns you will need to go through a somewhat thorough authentication procedure. There are pages where you only need an email address, but on other sites (like, e.g., Coinbase) you may need one of the following:

If they require a photo that is older than six month, they usually provide the means to take a photo with your computer's webcam.

It is important to adhere to the security measures of the site and use two-factor authentication (2FA). You'll get a code in text message to your phone when you want to login to the site. Your login will only be successful if you provide the right code.

If you already have access to the exchange or broker, you need to select which CryptoCurrency you want to buy from. As a rule of thumb, you should buy when it is low or going down and not when it is high or rising. Choosing the CryptoCurrency you want to buy is always a complex process, so you need to decide first whether you are in for the long run or want to trade. If you want to trade, you'll need to dive into the specifics of trading.

If you "only" wish to buy it and at some point in the future, sell it, and realize some profit, you need to examine the following.

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Beginner's Guide | CryptoCurrency.org

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Bitcoin Exchange | Cryptocurrency Exchange | CoinCasso

When it comes to financial aspects, like trade cryptos the most important thing is security. Thats whycryptocurrency exchangesuse many modern technical solutions to secure your funds and introduce user identity verification processes to make sure that no unauthorized person has access to your funds. InCoinCassowe constantly improve our solutions so that you do not worry about your funds and the future, due to that we use the latest technologies available on the market in terms of security as such as two-factor authentication and Serverless Technology.

Another important feature of good exchange is quickness. If you want tobuy and sell cryptocurrencyin fast and easy way we just introduced the service Quick Buy/Sell which allows you to deposit using credit and debit cards.

One of the most important features of a trusted and well-functioning crypto company is high availability of tools and products. InCoinCassowe provide users with a great variety in cryptocurrency trade, due to that you can find all top trading pairs:BTC/USDT,BTC/EUR,ETH/BTC, and many more. CoinCasso it is not only a cryptocurrency exchange but also a whole ecosystem of services: bitomat for buy and sell cryptocurrencies and our own based on blockchainmobile appavailable on every mobile device.

A safe and quick exchange of fiat currencies into crypto is the basis of the operation of the exchanges available on the market. InCoinCassoexchange you can use the SWAP function to buyBitcoinin a real market price.

When browsing the offers of exchanges, pay attention to the number of fees. The lower fees and commissions the platform charges, the greater earn for you.

Althoughcryptocurrenciesare becoming more and more popular and profitable investment year by year, trading is still an unknown topic for many people. Therefore, it is important that the trading platform you choose is as suitable as possible for both new and slightly more experienced traders. We have adjusted the features of the CoinCasso platform so that every trader has the chance to get the best trading experience. For new users, we have prepared a specialBlockchain Academyseries in which we explain how crypto markets are working. In case of any doubts or problems, you can use the services of our support which is at your disposal 24/7.

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Bitcoin Exchange | Cryptocurrency Exchange | CoinCasso

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