Jabil (JBL) has been one of the most searched-for stocks on Zacks.com lately. So, you might want to look at some of the facts that could shape the stock's performance in the near term. Over the past month,

Here is What to Know Beyond Why Jabil, Inc. (JBL) is a Trending Stock

Fictiv, an operating system for custom manufacturing ... of industry experience at companies including Corning Inc., Jabil, Flex, and IBM. He holds a bachelor's degree in electrical and electronics engineering from Tecnológico de Monterrey.

Fictiv expands global manufacturing network into Mexico

Fictiv, the operating system for custom manufacturing, is proud to announce the addition of Mexico to its global network of manufacturing partners.

Fictiv Expands Its Global Manufacturing Network into Mexico

Alabama-based electrical distributor Inline Electric Supply recently announced it has acquired TVW Electrical Supplies, a distributor of electrical supplies including lighting products, lighting controls and power distribution products. Financial details ...

Inline Electric Supply Acquires TVW Electrical in Alabama

The most recent trading session ended with Jabil (JBL) standing at $122.55, reflecting a +0.52% shift from the previouse trading day's closing. The stock's performance was ahead of the S&P 500's daily loss of 0.

Jabil (JBL) Ascends While Market Falls: Some Facts to Note

Senior Vice President and Chief Procurement Officer, Francis McKay, recently made a significant insider sell of 5,999 shares of Jabil Inc (NYSE:JBL), a leading provider of electronic manufacturing services. This transaction is part of a broader series of ...

New leadership at Jabil Inc sparks insider transactions

Eaton, whose electrical division is based in Pittsburgh ... will more than double the size of the plant and create 200 manufacturing jobs, according to Eaton. The reason for the expansion?

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Taking full advantage of the stock market and investing with confidence are common goals for new and old investors, and Zacks Premium offers many different ways to do both. The research service features daily updates of the Zacks Rank and Zacks Industry Rank,

Here's Why Jabil (JBL) is a Strong Growth Stock

Jabil's long-term guidance exceeds investor expectations, with positive outlooks for higher-growth and higher-margin segments. Find out why JBL stock is a Buy.

Jabil: Sustained Growth And Expanding Margins Make Me Bullish

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Why Jabil (JBL) is a Top Value Stock for the Long-Term

Jabil

jabil

Thanks to big data, today an organization can quickly obtain the necessary information from an unordered data set and deploy it effectively. The growing popularity of big data analytics has led to a significant increase in the number of companies providing big data solutions and related services. Today, there are in the global market, and this number may be very confusing. Big data skills, experience, and related technical expertise can significantly vary among vendors, which may puzzle anyone looking for a big data service provider. almost 1000 big data analytics companies How to identify the best big data consulting firms I set myself the goal to identify the most reliable big data consulting companies on today’s IT market. To do this, I investigated hundreds of data providers and studied their characteristics. Each company was analyzed according to the set of specifically designed criteria. Among the criteria are big data expertise, major clients, offering strategy, track record, and online reviews. Below you can see the results of the conducted market research. 1. Itransition Founded in 1998, Itransition is a custom software development company that provides big data consulting and platform engineering services. The company also offers business intelligence (BI) portals development and boosts them with machine learning (ML) and other technologies. The company offers data store design, data migration, performance optimization, and support services. The company’s client base includes IBM, Expedia, Toyota, eBay, Xerox, PayPal, and Adidas. With more than 150 completed projects and 810 clients worldwide, IAOP recognizes the company as one of The Global Outsourcing 100. Denver, CO Headquarters: Expedia, Xerox, Toyota, eBay, IBM, PayPal, Adidas Core clients: $25 — $49 Pay per hour: 1000–9999 Number of employees: Website: https://www.itransition.com/ 2. Saviant Consulting Saviant is a consulting company with more than 120 experts in its team and more than 100 clients in various countries, including UK, Canada, and the US. The company specifically focuses on Energy, Logistics, and Retail. Among the company’s big data services are big data analytics and management, full-cycle big data solution development, and more. Pune, India Headquarters: JJ Food Service, BuilderMT, Transparent Technologies, Inc Core clients: Not Revealed Pay per hour: 50–249 Number of employees: Website: https://www.saviantconsulting.com/ 3. Squadex Headquartered in California, USA, Squadex is a technology consulting and engineering company that provides big data services. It offers big data analytics, consulting, and big data platform engineering. Squadex is an AWS certified consulting partner that works with companies of different size, from small startups to large enterprises. Palo Alto, CA Headquarters: Model N, NinthDecimal, Nitrio Core clients: Not Revealed Pay per hour: 250–999 Number of employees: Website: https://squadex.com/ 4. CBIG Consulting Founded in 2002, CBIG Consulting is an American company offering business intelligence and big data analytics solutions. Besides analytics and consulting, the company provides big data solutions architecture. For this purpose, CBIG Consulting employs Hadoop distributions, Hive, Sqoop, etc. The company’s industrial focus is on Finance, Healthcare, and Retail. Chicago, IL Headquarters: Abbott, Astellas, Baxter, Cigna, DePaul University Core clients: $150 — $199 Pay per hour: 50–249 Number of employees: Website: https://www.cbigconsulting.com/ 5. Clavax Technologies Founded in 2011, Clavax is a software development company headquartered in San Jose, California. It delivers big data consulting and implementation. By employing big data technologies, the company provides services for data warehousing, data processing, and data integration. Clavax’ client list includes PWC, Football.com, Bookfari, and Honeywell. San Jose, CA Headquarters: PWC, Football.com, Bookfari, Honeywell, Jabil Core clients: $25 — $49 Pay per hour: 50–249 Number of employees: Website: https://www.clavax.com/ 6. ThirdEye Data ThirdEye Data is a big data services company that delivers big data consulting, analytics and engineering while using artificial intelligence, deep learning, and machine learning. ThirdEye Data has served such companies as Nokia, Ford, Amgen, GettyImages, Actian, and others. The company focuses on Finance, Government, IT, Retail, and Manufacturing. Santa Clara, CA Headquarters: Microsoft, Nokia, Ford, Amgen, GettyImages, Actian, Google Core clients: $50 — $99 Pay per hour: 50–249 Number of employees: Website: https://thirdeyedata.io/ 7. Signity Solutions Established in 2009, Signity Solutions is a company that delivers custom software development and big data solutions. The company helps with big data analysis and brings data solutions empowered by machine learning. Signity works for the Commerce, Education, Media, and other industries. Rajiv Gandhi IT Park, India Headquarters: Samsung, Grupio, The Project Factory Core clients: $25 — $49 Pay per hour: 50–249 Number of employees: Website: https://www.signitysolutions.com 8. Caserta Founded in 2001, Caserta is a NY-based IT company that delivers a wide range of data-related services. The company offers big data consulting and solution architecture/development. Caserta also provides data visualization, data warehousing services, and more. The company has worked with such clients as New York Times, Capital One, Equinox, and HBO. New York, NY Headquarters: New York Times, Capital One, Equinox, HBO Core clients: Not Revealed Pay per hour: 10–49 Number of employees: Website: https://caserta.com/ 9. RapidOps, Inc RapidOps is a custom software development company based in the USA. The company’s expertise includes big data analytics, consulting, and visualization. The company’s team of 60+ professional developers delivers its services to the Manufacturing, Retail, and IT industries. Charlotte, NC Headquarters: YoDish, Zurn Industries, DassaultSystemes Core clients: $25 — $49 Pay per hour: 50–249 Number of employees: Website: https://www.rapidops.com/ 10. Aegis Soft Tech Since 2003, Aegis Soft Tech has been providing software development to Healthcare, Finance, Retail, Manufacturing, and other industries. Aegis provides big data consultation, management, and analysis. Among that, Aegis helps with data migration processes. The company’s pool of developers expertizes in Hadoop, Cloudera, and Hortonworks platforms. Rajkot, India Headquarters: Sunzinet, Zydus, PointRF, Efacec Core clients: < $25 Pay per hour: 50–249 Number of employees: Website: https://www.aegissofttech.com/ 11. GetInData GetInData is a Poland-based company that unites more than 30 professionals. The company has carried out more than 30 projects. GetInData delivers the following big data services: big data infrastructure development, analytics, consulting, engineering, and maintenance. GetInData delivered its services to such companies as Spotify, Allegro, Agora, and Freshmail. Warsaw, Poland Headquarters: Spotify, Allegro, Agora, Freshmail, Truecaller, GoEuro Core clients: $50 — $99 Pay per hour: 10–49 Number of employees: Website: https://getindata.com/ 12. Kavi Global Established in 2008, Kavi Global is an analytical company that delivers a whole spectrum of big data services. They include consulting, big data solution architecture, and platform implementation. The company also offers data mining and data management services. Kavi Global’s industrial expertise includes Transportation, Manufacturing, Education, and Healthcare. Barrington, IL Headquarters: General Electric, TEAMHealth, Thomson Reuters, Ryder Core clients: $150 — $199 Pay per hour: 10–49 Number of employees: Website: https://www.kaviglobal.com/ 13. Indium Software Since 1999, Indium Software has been providing technological solutions for 19 various industries. The company has worked with 750 clients from all over the world. Employing such technologies as Hadoop, Spark, and Apache Kafka, Indium Software delivers big data architecture and consulting services. Princeton, NJ Headquarters: Not Revealed Core clients: < $25 Pay per hour: 250–999 Number of employees: Website: https://www.indiumsoftware.com/ 14. Fayrix Israel-based Fayrix is a custom software development company and big data services provider with 1530 IT experts on board. The company deals with various projects, from initial data analysis and consulting to big data infrastructure design, big data software development, and its implementation into a client’s existing technological landscape. Pitu’akh, Israel Headquarters: Biosence Webster, SCR, S7 Airlines Core clients: < $25 Pay per hour: 1000–9999 Number of employees: Website: https://fayrix.com/ 15. Denologix Established in 2002, Denologix is an analytics and information management company providing a wide range of big data services, including data analysis, consulting, and big data solution implementation and support. The company deploys a large number of technological tools for big data, including Hortonworks Data Platform, Cloudera СВР Hadoop Distribution, and more. Among the company’s clients are Adidas, Allstream, Aviva, Canada Post, and others. Toronto, Canada Headquarters: Adidas, Allstream, Aviva, Canada Post, Bell, Brookfield Core clients: $150 — $199 Pay per hour: 50–249 Number of employees: Website: http://www.denologix.com/ 16. Data Reply Established in 2015, Data Reply is a big data and analytics consultancy based in London, UK. Besides big data consulting and training, the company offers data engineering and data science services. The company focuses on such industries as Retail, Media, Telecommunications, and Commerce. London, United Kingdom Headquarters: Not revealed Core clients: $100 — $149 Pay per hour: 10–49 Number of employees: Website: https://www.datareply.co.uk/ 17. Dexlock Established in 2012, Dexlock is an Indian company that delivers big data services. Among them are large data store development and deep learning/machine learning implementation. The company’s technological expertise includes Hadoop, Apache Spark, Apache Kafka, and more. Dexlock works with the Healthcare, Retail, Insurance, Energy and other industries. Kochi, India Headquarters: FindCharisma, Splash of Colors, StatFuel, MyPeepz Core clients: < $25 Pay per hour: 50–249 Number of employees: Website: http://www.dexlock.com/ 18. 47Billion 47Billion is a bespoke software development company that provides mobile and web development and UI/UX design. Besides these services, the company delivers end-to-end big data analysis, consulting, and engineering. The company’s industrial focus includes IT, Gaming, and Consumer Services. 47Billion’s clients include Cisco, Nazara, and Apsalar. Bangalore, India Headquarters: Cisco, Nazara, Apsalar Core clients: : $25 — $49 Pay per hour 50–249 Number of employees: Website: https://47billion.com/ 19. 51zero 51zero is a UK-based company that specializes in big data services providing. The company delivers big data consulting and solutions development and focuses on the financial service domain. The company’s pool of technological experts deploys such big data technologies as Spark, Apache Kafka, Docker, and others. London, United Kingdom Headquarters: HSBC, The Royal Bank of Scotland, Barclays Core clients: $200 — $300 Pay per hour: 2–9 Number of employees: Website: https://www.51zero.com/ 20. SCI-BI SCI-BI is a company based in India. With more than seven years of experience, the company specializes in big data consulting and engineering. The company also helps with data integration strategy. SCI-BI’s big data technological expertise includes Cloudera and Hortonworks. The company focuses explicitly on Logistics and Retail. Chennai, India Headquarters: Executive Planning Services, USA SaasByDesign Inc, USA Caravel Logistics Core clients: < $25 Pay per hour: 10–49 Number of employees: Website: http://sci-bi.com/

The Top Big Data Consulting Firms

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Michael Saylor: Is He Against Self-Custody And Bitcoin As A Medium of Exchange?

Michael Saylor: està en contra de l'autocustodia i Bitcoin com a mitjà d'intercanvi?

Michael Saylor: ¿Está en contra de la autocustodia y de Bitcoin como medio de intercambio?

マイケル・セイラー：彼は自己管理と交換手段としてのビットコインに反対か？

ម៉ៃឃើល សាយឡ័រ៖ តើ​គាត់​ប្រឆាំង​នឹង​ការ​ឃុំឃាំង​ខ្លួន​ឯង​និង Bitcoin ជា​មធ្យម​នៃ​ការ​ដោះដូរ​ឬ?

Майкл Сейлор: Ал өзүн-өзү камкордукка алууга жана алмашуу каражаты катары Биткойнго каршыбы?

Michael Saylor: Azali Contre Auto-custody Na Bitcoin Lokola Moyen Ya Echange?

Michael Saylor: ລາວຕໍ່ຕ້ານການເບິ່ງແຍງຕົນເອງແລະ Bitcoin ເປັນສື່ກາງຂອງການແລກປ່ຽນບໍ?

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Michael Saylor: A është ai kundër vetë-kujdesit dhe Bitcoin si një mjet këmbimi?

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Michael Saylor: Je, Anapinga Kujitunza Na Bitcoin Kama Njia ya Kubadilishana?

What's wrong with stickers in Telegram? Deanonymize anonymous channels in two clicks

We have zombies from past crypto eras lurking on some exchanges and personal wallets: they’re called ‘deadcoins’. Sometimes, you can't tell a "live" coin from a dead one at first glance. If you hit buy or trade, the rotten thing might stay with you forever. Not a pleasant experience. Deadcoins are cryptocurrencies that have lost all or most of their value, have no active development, or have been abandoned by their creators and community. This can happen for various reasons, like scams, lack of interest, or poor execution of the project. Essentially, they’re digital assets that no longer have a viable future and are considered defunct. But here’s the catch: they may keep existing in some networks, and could still be available for trading on some DEXes. So, they’re like zombies, running around as they were programmed, but with no one to maintain their codes, make new plans, or even use them. They may keep some price and/or a low trade volume, depending on the coin, but it’s just zombie activity. Once in your portfolio, they’ll likely rot in there forever. What kills a coin? According to CoinGecko, over 50% of all cryptocurrencies (at least from the thousands listed in their platform), have died between 2014 and 2024. If you think about it, it was just meant to happen when a lot of people are only copying and pasting the same Bitcoin code with another name. Cryptocurrencies die for several reasons, and one common cause is the lack of interest or demand. Without enough users or investors, the project can’t sustain itself, leaving it with no real value. Another key reason is poor development; if the team behind the coin doesn’t deliver on their promises or the technology isn’t strong, people lose trust and abandon it. However, sometimes they’re created with the specific purpose of being deadcoins soon. In scams and frauds, they’re offered just to take money from investors, amid big and fake promises. Once the scammers are paid, they promptly disappear, leaving the coin worthless. On the other hand, in prediction markets like Prophet on Obyte, two or three tokens are created to represent potential results on a bet. Once the results are delivered, one or two of those tokens will become a deadcoin with zero value —but that’s expected from the beginning. Besides, competition in the crypto world is fierce, and if a coin doesn’t stand out or offer something unique, it can easily get overshadowed by more successful projects. Lastly, regulatory issues can kill a coin, especially if it’s new or has a small community. Governments might crack down on certain projects or declare them illegal, causing their value to plummet. When a coin faces legal trouble, people may be less likely to invest, and it often fades away. Prominent deadcoins You may think that deadcoins exclusively come from those shady Initial Coin Offerings (ICOs) from 2017, scams and frauds, old jokes, or projects that never had enough relevance, right? Well, then you’d be wrong. Some deadcoins and failed projects have been in the top ten by market capitalization and/or have been a total hit for different reasons. There’s no such a thing as “too big to fail” and it would do us good to remember that at all times. Auroracoin (AUR): This coin even had its own blockchain and aimed to be Iceland's national cryptocurrency. It briefly hit the top 10 by market capitalization in early 2014, shortly after its launch. However, the hype was short-lived, and the coin quickly lost value due to regulatory challenges, skepticism, and lack of widespread adoption. Its market cap has decreased by 99% since then, and its team is running another project already.
Bitconnect (BCC): Launched in 2016, Bitconnect offered a lending platform promising high returns through its native token. It reached the top 10 by market cap in 2017. However, it was exposed as a Ponzi scheme in 2018, leading to its collapse and regulatory shutdowns. Bitconnect tokens are no longer actively traded. https://www.youtube.com/watch?v=W6g8ShHEXns&embedable=true Terra (LUNA): Terra, launched in 2019, offered a stablecoin ecosystem with its native token, LUNA, reaching the top 10 by market cap in 2021. Terra's collapse occurred in 2022 when its algorithmic stablecoin, UST, de-pegged from the U.S. dollar, causing LUNA's value to plummet. Terra 2.0 exists as a new project, but the original blockchain was discontinued. The old asset (renamed LUNA Classic - LUNC) is still traded on some exchanges, with no small amount of risk involved. Zombie or not zombie Spotting deadcoins versus live projects, or those simply going through tough market conditions, requires attention to several key factors. A deadcoin often shows little to no development activity. If the team behind the coin has stopped updating its technology, releasing new features, or engaging with its community, that’s a red flag. In contrast, a live project going through a rough patch will usually still have active development and a committed team working to improve the situation, even if the market value has dropped. Another sign of a deadcoin is low or non-existent trading volume. If the coin can barely be traded on any major exchanges or only shows minimal movement, it indicates that there’s no interest or liquidity. On the other hand, coins in a market slump may see reduced trading volume, but they will still be available on multiple platforms, with some level of ongoing buying and selling, showing people haven’t completely lost faith. Community engagement also tells a lot. Deadcoins tend to have stagnant social media, forums, or developer channels, with little interaction or discussion. Live projects, even if struggling, will have active communities discussing solutions and the future. An engaged community often means that the project is still alive, despite setbacks. You can also sum it up with three questions: is the team long inactive on social media and code repositories, especially on X (Twitter), Discord, and GitHub? Is trading the coin nearly impossible? Are the founders in jail or running away from authorities? —yes, that happens. If the answer to those questions is “yes” for most of them, you’re totally seeing a zombie there. Could your coin die soon? Determining if a cryptocurrency is on the verge of dying can be tricky, but there are clear signs to watch for. One major factor is the absence of recent development activity. If a project doesn’t share a clear vision for future updates or improvements, it may indicate uncertainty or stagnation. Additionally, reduced community engagement is a strong indicator. If online forums and social media channels become quiet, it suggests that users are losing interest, which can be detrimental to the coin's overall health. Another concern is negative publicity or ongoing controversies surrounding a coin. Regular scandals, public exploits, or legal troubles can damage a cryptocurrency’s reputation, leading to a loss of trust among investors. Additionally, a lack of partnerships or real-world applications can hinder a project’s growth. Coins that struggle to find use cases or secure collaborations with other projects or networks often find it hard to gain traction and may face challenges in maintaining relevance. In contrast to the above, Obyte, along with its native currency, GBYTE, stands out as a thriving project with a vibrant community and constant updates. Its Directed Acyclic Graph (DAG) structure ensures more decentralized transactions, and the ongoing development by its team reflects a strong commitment to improvement. Obyte’s focus on libertarian ideals has attracted a dedicated user base, while applications and improvements continue to grow, ensuring its place in the market. Overall, Obyte's proactive approach and engaged community signal a promising and decentralized future for all its users. Featured Vector Image by Freepik We have zombies from past crypto eras lurking on some exchanges and personal wallets: they’re called ‘deadcoins’. Sometimes, you can't tell a "live" coin from a dead one at first glance. If you hit buy or trade, the rotten thing might stay with you forever. Not a pleasant experience. Deadcoins are cryptocurrencies that have lost all or most of their value, have no active development, or have been abandoned by their creators and community. This can happen for various reasons, like scams, lack of interest, or poor execution of the project. Essentially, they’re digital assets that no longer have a viable future and are considered defunct. Deadcoins are cryptocurrencies that have lost all or most of their value, have no active development, or have been abandoned by their creators and community. But here’s the catch: they may keep existing in some networks, and could still be available for trading on some DEXes. So, they’re like zombies, running around as they were programmed, but with no one to maintain their codes, make new plans, or even use them. They may keep some price and/or a low trade volume, depending on the coin, but it’s just zombie activity. Once in your portfolio, they’ll likely rot in there forever. What kills a coin? According to CoinGecko , over 50% of all cryptocurrencies (at least from the thousands listed in their platform), have died between 2014 and 2024. If you think about it, it was just meant to happen when a lot of people are only copying and pasting the same Bitcoin code with another name. According to CoinGecko According to CoinGecko over 50% of all cryptocurrencies (at least from the thousands listed in their platform), have died between 2014 and 2024. Cryptocurrencies die for several reasons, and one common cause is the lack of interest or demand. Without enough users or investors, the project can’t sustain itself, leaving it with no real value. Another key reason is poor development; if the team behind the coin doesn’t deliver on their promises or the technology isn’t strong, people lose trust and abandon it. However, sometimes they’re created with the specific purpose of being deadcoins soon. In scams and frauds, they’re offered just to take money from investors, amid big and fake promises . Once the scammers are paid, they promptly disappear, leaving the coin worthless. On the other hand, in prediction markets like Prophet on Obyte, two or three tokens are created to represent potential results on a bet. Once the results are delivered, one or two of those tokens will become a deadcoin with zero value —but that’s expected from the beginning. In scams and frauds , they’re offered just to take money from investors, amid big and fake promises In scams and frauds In scams and frauds Prophet Prophet Besides, competition in the crypto world is fierce, and if a coin doesn’t stand out or offer something unique, it can easily get overshadowed by more successful projects. Lastly, regulatory issues can kill a coin, especially if it’s new or has a small community. Governments might crack down on certain projects or declare them illegal, causing their value to plummet. When a coin faces legal trouble, people may be less likely to invest, and it often fades away. Prominent deadcoins You may think that deadcoins exclusively come from those shady Initial Coin Offerings (ICOs) from 2017, scams and frauds, old jokes, or projects that never had enough relevance, right? Well, then you’d be wrong. Some deadcoins and failed projects have been in the top ten by market capitalization and/or have been a total hit for different reasons. There’s no such a thing as “too big to fail” and it would do us good to remember that at all times. Some deadcoins and failed projects have been in the top ten by market capitalization and/or have been a total hit for different reasons. Some deadcoins and failed projects Some deadcoins and failed projects Auroracoin (AUR): This coin even had its own blockchain and aimed to be Iceland's national cryptocurrency. It briefly hit the top 10 by market capitalization in early 2014, shortly after its launch. However, the hype was short-lived, and the coin quickly lost value due to regulatory challenges, skepticism, and lack of widespread adoption. Its market cap has decreased by 99% since then, and its team is running another project already. Bitconnect (BCC): Launched in 2016, Bitconnect offered a lending platform promising high returns through its native token. It reached the top 10 by market cap in 2017. However, it was exposed as a Ponzi scheme in 2018, leading to its collapse and regulatory shutdowns. Bitconnect tokens are no longer actively traded. Auroracoin (AUR): This coin even had its own blockchain and aimed to be Iceland's national cryptocurrency. It briefly hit the top 10 by market capitalization in early 2014 , shortly after its launch. However, the hype was short-lived, and the coin quickly lost value due to regulatory challenges, skepticism, and lack of widespread adoption. Its market cap has decreased by 99% since then, and its team is running another project already. Auroracoin (AUR): early 2014 early 2014 Bitconnect (BCC): Launched in 2016, Bitconnect offered a lending platform promising high returns through its native token. It reached the top 10 by market cap in 2017. However, it was exposed as a Ponzi scheme in 2018, leading to its collapse and regulatory shutdowns. Bitconnect tokens are no longer actively traded. Bitconnect (BCC): https://www.youtube.com/watch?v=W6g8ShHEXns&embedable=true https://www.youtube.com/watch?v=W6g8ShHEXns&embedable=true Terra (LUNA): Terra, launched in 2019, offered a stablecoin ecosystem with its native token, LUNA, reaching the top 10 by market cap in 2021. Terra's collapse occurred in 2022 when its algorithmic stablecoin, UST, de-pegged from the U.S. dollar, causing LUNA's value to plummet. Terra 2.0 exists as a new project, but the original blockchain was discontinued. The old asset (renamed LUNA Classic - LUNC) is still traded on some exchanges, with no small amount of risk involved. Terra (LUNA): Terra, launched in 2019, offered a stablecoin ecosystem with its native token, LUNA, reaching the top 10 by market cap in 2021. Terra's collapse occurred in 2022 when its algorithmic stablecoin, UST, de-pegged from the U.S. dollar, causing LUNA's value to plummet. Terra 2.0 exists as a new project, but the original blockchain was discontinued . The old asset (renamed LUNA Classic - LUNC) is still traded on some exchanges, with no small amount of risk involved. Terra (LUNA): was discontinued was discontinued Zombie or not zombie Spotting deadcoins versus live projects, or those simply going through tough market conditions, requires attention to several key factors. A deadcoin often shows little to no development activity. If the team behind the coin has stopped updating its technology, releasing new features, or engaging with its community, that’s a red flag. In contrast, a live project going through a rough patch will usually still have active development and a committed team working to improve the situation, even if the market value has dropped. Another sign of a deadcoin is low or non-existent trading volume. If the coin can barely be traded on any major exchanges or only shows minimal movement, it indicates that there’s no interest or liquidity. On the other hand, coins in a market slump may see reduced trading volume, but they will still be available on multiple platforms, with some level of ongoing buying and selling, showing people haven’t completely lost faith. Another sign of a deadcoin is low or non-existent trading volume. Community engagement also tells a lot. Deadcoins tend to have stagnant social media, forums, or developer channels, with little interaction or discussion. Live projects, even if struggling, will have active communities discussing solutions and the future. An engaged community often means that the project is still alive, despite setbacks. You can also sum it up with three questions: is the team long inactive on social media and code repositories, especially on X (Twitter), Discord, and GitHub? Is trading the coin nearly impossible? Are the founders in jail or running away from authorities? —yes, that happens . If the answer to those questions is “yes” for most of them, you’re totally seeing a zombie there. You can also sum it up with three questions: that happens that happens Could your coin die soon? Determining if a cryptocurrency is on the verge of dying can be tricky, but there are clear signs to watch for. One major factor is the absence of recent development activity. If a project doesn’t share a clear vision for future updates or improvements, it may indicate uncertainty or stagnation. Additionally, reduced community engagement is a strong indicator. If online forums and social media channels become quiet, it suggests that users are losing interest, which can be detrimental to the coin's overall health. Another concern is negative publicity or ongoing controversies surrounding a coin. Regular scandals, public exploits, or legal troubles can damage a cryptocurrency’s reputation, leading to a loss of trust among investors. Additionally, a lack of partnerships or real-world applications can hinder a project’s growth. Coins that struggle to find use cases or secure collaborations with other projects or networks often find it hard to gain traction and may face challenges in maintaining relevance. Another concern is negative publicity or ongoing controversies surrounding a coin. In contrast to the above, Obyte , along with its native currency, GBYTE, stands out as a thriving project with a vibrant community and constant updates. Its Directed Acyclic Graph (DAG) structure ensures more decentralized transactions, and the ongoing development by its team reflects a strong commitment to improvement. Obyte’s focus on libertarian ideals has attracted a dedicated user base, while applications and improvements continue to grow, ensuring its place in the market. Overall, Obyte's proactive approach and engaged community signal a promising and decentralized future for all its users. Obyte Obyte applications and improvements applications and improvements Featured Vector Image by Freepik Featured Vector Image by Freepik Freepik Freepik

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हमारे बीच ज़ॉम्बी: डेडकॉइन्स और उन्हें कैसे पहचानें

Զոմբիները մեր մեջ. Deadcoins և ինչպես նկատել դրանք

私たちの中にゾンビがいる: デッドコインとその見分け方

Zombies Among Nos: Deadcoins & Imaynatataq chaykunata riqsina

ዞምቢ ኣብ መንጎና: Deadcoins & ከመይ ጌርና ንርእዮም

Zombies Among Us: Deadcoin'ler ve Bunları Nasıl Tespit Edebilirsiniz

我们身边的僵尸：死亡币及其识别方法

7 Unspoken Rules of BYOD Security in the Workplace

OFF Radio Krakow, a radio station in Poland, has made a groundbreaking move and replaced its human presenters with AI. And this is just the beginning. In the not-too-distant future, many radio and television stations will likely begin to replace their presenters with AI due to advancements in natural language processing and video synthesis technologies. AI technology can also help translate scripts and interviews from one language to another. Imagine CNN, MSNBC, or FOX using AI instead of human staff. According to a BBC report, “In Kuwait, an AI persona by the name of Fedha ran through the headlines for Kuwait News. Hermes presented the news in May 2023 for Greek state broadcaster ERT. South Korean broadcaster SBS handed over the duties of news presenting to Zae-In, an AI-generated deepfake, for five months this year. There are others in India and Taiwan, too – all created by AI.” It may not be a bad idea. For one, this could potentially reduce mistakes, gaffes, and unpleasant moments. It could also save costs. According to The Wrap, Anderson Cooper is said to earn an estimated $20 million a year; Wolf Blitzer, $15 million; Jake Tapper, $8.5 million; and Chris Wallace, who makes about $8 million. Other networks no doubt pay their hosts similar salaries, and it is no wonder that companies are showing a keen interest in understanding how AI could work for them and whether the move is worthwhile. So far, the idea seems to suggest it would pay off financially. In terms of programming, AI hosts can literally provide news 24 hours a day without getting tired. They can also deliver breaking news within seconds, don’t need make-up, and don’t go on vacation. While these are, of course, great advantages for networks seeking to cut costs and operate continuously, they don’t solve every problem. Networks will maintain the role of human broadcasters in fields that require deep contextual knowledge, personal experience, or emotional intelligence, like investigative journalism and complex live reporting. There are other reasons as well. While in much of the world, journalists view the use of artificial intelligence as a looming threat to livelihoods, in Venezuela – where showing your face on a news report can conceivably land you in jail – many people view it as protection. In an interesting development in this field, Microsoft and OpenAI are investing up to $10 million to help local news organizations implement artificial intelligence in their operations. Each recipient outlet will receive funding to hire a two-year AI expert, along with $5 million worth of combined cash and technology credits split between Microsoft Azure and OpenAI services. The program aims to help local news organizations develop new revenue streams and improve their operations using AI tools. The program is part of the Lenfest Institute's Local Independent News Coalition, which includes eight of the largest independently owned metropolitan news organizations in the United States. These outlets will work together to develop AI solutions that uphold journalistic standards while strengthening their business models. According to Open Society Foundations, AI and Large Language Models (LLMs), in particular, “are likely to bring about significant and lasting structural change to information ecosystems as we know them.” Global concerns about the use of AI in news production and misinformation are growing, a report published by the Reuters Institute for the Study of Journalism found. The report found that consumers are suspicious about the use of AI to create news content, particularly for sensitive subjects such as politics. According to the survey, 52% of U.S. respondents and 63% of UK respondents said they would be uncomfortable with news produced mostly with AI. The report surveyed 2,000 people in each country, noting that respondents were more comfortable with behind-the-scenes uses of AI to make journalists' work more efficient. However, this specific poll deals with journalists using AI to write stories as opposed to newsrooms using AI characters to deliver the news on television. Part of the problem is that AI avatars cannot interpret or express humor or deal with complex ethical judgments. Certainly in a round- table setting, AI will not be able to engage in banter and various degrees of analysis. For this type of journalism, perhaps the most important kind where the public relies on journalists to decipher and analyze important news, AI will remain insufficient, and the need for human presenters will continue. OFF Radio Krakow, a radio station in Poland, has made a groundbreaking move and replaced its human presenters with AI . replaced its human presenters with AI And this is just the beginning. In the not-too-distant future, many radio and television stations will likely begin to replace their presenters with AI due to advancements in natural language processing and video synthesis technologies. AI technology can also help translate scripts and interviews from one language to another. Imagine CNN, MSNBC, or FOX using AI instead of human staff. According to a BBC report , “In Kuwait, an AI persona by the name of Fedha ran through the headlines for Kuwait News. Hermes presented the news in May 2023 for Greek state broadcaster ERT. South Korean broadcaster SBS handed over the duties of news presenting to Zae-In, an AI-generated deepfake, for five months this year. There are others in India and Taiwan, too – all created by AI.” BBC report Hermes presented the news handed over the duties It may not be a bad idea. For one, this could potentially reduce mistakes, gaffes, and unpleasant moments. It could also save costs. According to The Wrap , Anderson Cooper is said to earn an estimated $20 million a year; Wolf Blitzer, $15 million; Jake Tapper, $8.5 million; and Chris Wallace, who makes about $8 million. According to The Wrap Other networks no doubt pay their hosts similar salaries, and it is no wonder that companies are showing a keen interest in understanding how AI could work for them and whether the move is worthwhile. So far, the idea seems to suggest it would pay off financially. In terms of programming, AI hosts can literally provide news 24 hours a day without getting tired. They can also deliver breaking news within seconds, don’t need make-up, and don’t go on vacation. While these are, of course, great advantages for networks seeking to cut costs and operate continuously, they don’t solve every problem. Networks will maintain the role of human broadcasters in fields that require deep contextual knowledge, personal experience, or emotional intelligence, like investigative journalism and complex live reporting. There are other reasons as well. While in much of the world, journalists view the use of artificial intelligence as a looming threat to livelihoods, in Venezuela – where showing your face on a news report can conceivably land you in jail – many people view it as protection. can conceivably land you in jail In an interesting development in this field, Microsoft and OpenAI are investing up to $10 million to help local news organizations implement artificial intelligence in their operations. to help local news organizations implement artificial intelligence Each recipient outlet will receive funding to hire a two-year AI expert, along with $5 million worth of combined cash and technology credits split between Microsoft Azure and OpenAI services. The program aims to help local news organizations develop new revenue streams and improve their operations using AI tools. The program is part of the Lenfest Institute's Local Independent News Coalition, which includes eight of the largest independently owned metropolitan news organizations in the United States. These outlets will work together to develop AI solutions that uphold journalistic standards while strengthening their business models. According to Open Society Foundations , AI and Large Language Models (LLMs), in particular, “are likely to bring about significant and lasting structural change to information ecosystems as we know them.” Open Society Foundations Global concerns about the use of AI in news production and misinformation are growing, a report published by the Reuters Institute for the Study of Journalism found. The report found that consumers are suspicious about the use of AI to create news content, particularly for sensitive subjects such as politics. According to the survey, 52% of U.S. respondents and 63% of UK respondents said they would be uncomfortable with news produced mostly with AI. The report surveyed 2,000 people in each country, noting that respondents were more comfortable with behind-the-scenes uses of AI to make journalists' work more efficient. However, this specific poll deals with journalists using AI to write stories as opposed to newsrooms using AI characters to deliver the news on television. Part of the problem is that AI avatars cannot interpret or express humor or deal with complex ethical judgments. Certainly in a round- table setting, AI will not be able to engage in banter and various degrees of analysis. For this type of journalism, perhaps the most important kind where the public relies on journalists to decipher and analyze important news, AI will remain insufficient, and the need for human presenters will continue.

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