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Conversations: Ex-ISRO scientist on his second innings as a data scientist at Sahaj – INDIAai

From 1984 to 2008, or 24 years to be precise, Ravindra Babu Tallamraju worked on several spacecraft missions at the Indian Space Research Organisation (ISRO). After that, he joined Infosys as a Principal Researcher to work on facial recognition systems. Then, as a Principal Data Scientist at Flipkart, his task was to alleviate issues surrounding address classification, catalogue management and fraud modelling.

Today, Ravindra is the Head of Data Science at Sahaj Software Solutions - a software engineering consultancy company harnessing the potential of data with platform engineering, data engineering and data science.

ISRO provides a number of challenges in deterministic mathematical modelling. As part of Spacecraft Orbital Dynamics activities, one needs to consider various forces that act on the spacecraft and integrate those equations of motion to predict spacecraft position and velocity in future instances.

The position and velocity vectors help derive a host of information such as the spacecraft's visibility over ground stations, ground traces, times of entry of Earth's shadow, etc. Further, camera modelling allows one to compute the coordinates of imaging scans for remote sensing missions.

"While most of the models involve every aspect of mathematics, like forming and solving differential equations, geometrical and numerical modelling, vector algebra, etc., the challenges in probabilistic modelling and machine learning remain limited," said Ravindra.

"This motivated me to look for newer challenges after 24+ years at ISRO," he added.

Sahaj works with its customers on purpose-built solutions involving data and ML. The clientele for AI problems is spread across multiple domains and geographies.

It provides Ravinder with an opportunity to work on a wider scale. The team gets involved in developing/optimising multilingual NLP models, text summarisation, knowledge graphs, natural language queries and contextual conversational engines that enable multiple use cases to be developed leveraging the engine.

In computer vision, Ravinder said, "We work on solutions to generate video summary, sports video analytics, information extraction from videos and images, OCR of noisy scanned documents, and knowledge graphs." Use cases for such AI models include

In mining large datasets, both structured and unstructured, the job is to extract hidden patterns in the dataset. Similarly, when it comes to statistical forecasting, the team has worked on models that forecast using conventional time series, machine learning and deep learning approaches.

All the above-mentioned projects are collaborative in nature, and Ravinder is heading a team of data scientists at Sahaj. As per him, data scientists are inherently researchers. "They love to work on open-ended yet time-bound research problems," he said.

On the one hand, each data scientist has their favourite domain, while on the other side, client projects require time-bound solutions. The need is to find a sweet spot between the two. Ravinder believes that an ideal data scientist would have to work on various problems across multiple data science domains and application areas.

In his own role, he has the responsibility to focus on how to train each data scientist as a well-rounded expert. Further, to inculcate research curiosity, the organisation has a regular Data Science Research forum where the team delivers talks, conference presentations, research publications, and more. Further to this, Ravinder said, "We collaborate with some of the leading academic institutions and undertake joint research projects with expert academicians," he added.

Even though the need for data science is felt across the industry, their problems remain vaguely defined when it comes to skills. Additionally, the team has to look for multiple factors,

At Sahaj, as per Ravinder, any new data scientist is typically paired with experienced data scientists who can sharpen their consulting and problem-solving skills.

Ravinder rightly understands the importance of patents as he himself has a few patents in computer vision. "Associated with having patents, we need an IP team which tracks their possible violations. Sahaj, as an organisation, believes in sharing and open sourcing. As a data science team, we share our knowledge through publications, talks, open source contributions and blogs," said Ravinder.

However, this does not apply to any specific work deliverable or that has been developed as a solution or part of a solution for any of the Sahaj customers.

Moreover, Ravinder sees enormous scope for AI innovations in India. "Over the years, I notice a marked difference in the way academic institutions are open to supporting the private industry through joint collaborations," he said.

In the industry, there are pockets which embrace AI to a great extent, but there are some startups which are still in a very nascent stage. "This requires data science leaders to sensitise on how data science could help provide a business advantage and understand the domain through interactions with the business, product, and engineering leaders to identify the problem landscape," Ravinder concluded.

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California Students Are Struggling in Math. Will Reforms Make the Problem Worse? – The New Yorker

The California Mathematics Framework (C.M.F.) is an arguably obscure but extremely consequential document informing the educations of millions of children, from transitional kindergarten to twelfth grade, which is revised every eight years. The C.M.F. doesnt decide what math concepts to teach; that is decided by the common-core standards. Instead, it makes recommendations to public-school teachers about how and when to teach what elements of math.

The United States has been ranked thirty-seventh of seventy-nine industrialized countries in math achievement among fifteen-year-olds. Among the states, California is considerably below average, and sometimes in the lowest quartile, in a number of national assessments of math proficiency. There is also a pronounced achievement gap, with women, minorities, and the poor falling behind. Given that math is a necessary step toward a STEM careerin demand, high-payingthese numbers are more than simply lamentable. So revisiting our approach to teaching math, in California and beyond, is urgent.

The current draft of the C.M.F., which will be voted on by the California State Board of Education in 2023, is intended to make math education more equitable. Chapter 1 (of fourteen) is titled Mathematics for All; Chapter 2 is called Teaching for Equity and Engagement. The goals were chosen through a series of focus groups of teachers and others; then three math-education experts, a mathematician, and a retired math teacher were tasked with developing a research-driven plan for achieving the goals.

The C.M.F. details some arguments against students taking higher-level math courses in middle school. It also suggests that math be de-trackedthat kids not be sorted into higher- and lower-level courses in their early schooling, and certainly not before high school, in the theory that slowing down math education can lead to deeper understanding. (Algebra I is now commonly offered as an option in the eighth grade.) We know were not doing kids any favors cramming high-school-level math courses into middle school, Jo Boaler, one of the writers of the C.M.F. and a professor at Stanfords Graduate School of Education, told me. And students who are not in higher-level math courses might be damaged by the message that theyre not good at math, which becomes a self-fulfilling prophecy. Brian Lindaman, a professor at California State University, Chico, who chaired the C.M.F. committee, told me, We let school boards make their own choice, but we wanted to make sure students and parents had the most information about how acceleration has workedand also how it hasnt worked. We wanted to point out the benefits of a classroom of diverse learners, of people at different ability levels, rather than have a group that just struggles all the time.

The C.M.F. also suggested adding a data-science track, so that students could choose to take data science in place of the more familiar sequence of Algebra II, precalculus, and calculus. Data science is often seen as the math of the present and future, and Boaler herself has helped to design a data-science course, through youcubed, a company she co-founded. (Boaler has attracted criticism for the lucrative consulting work she has done for public-school districts. She disputes the characterization of her earnings.) The course is organized around a different set of pedagogical values than most current math classes: project-oriented group work, no tests, and a focus on real-world applications.

When the first draft of the C.M.F. was released for public comment, phrases such as equity and social justice attracted negative attention from right-leaning press. The headline of an op-ed in the Wall Street Journal read California Leftists Try to Cancel Math Class. The C.M.F. has been called woke math.

But more fierce and fine-grained criticism of the C.M.F. cameperhaps surprisinglyfrom people who have done a lot of work promoting diversity and equity in math and other STEM fields. Everything Ive read about this proposal is going to make matters worse, Adrian Mims said, of the initial draft of the C.M.F. Mims is the founder of the Calculus Project, a program that has been remarkably successful at getting more students of color to take and succeed in advanced math courses. Modifying curriculum that way will not bring equity, he said. It will just bring in a lower track. The lower track he refers to is the data-science track, which he argued would not prepare students for a possible future career in data science, let alone in engineering, physics, economics, or computer science. And we all know who ends up in that trackBlack, Hispanic, and low-income students.

Brian Conrad, a professor of mathematics at Stanford, told me that, during the Trump era, he had been avoiding the news, so I had no idea about this campaign to replace Algebra II with data science. He then began to follow movements in California's K-12 math curricula more closely. When he read the nine-hundred-page C.M.F. document, he was concerned. I encountered a lot of assertions that were hard to believe and were justified via citations to other papers. So I read those other papers, Conrad wrote on a Web site he started for the purpose of sharing his findings. (He is not on Twitter.) Conrad is a graduate of public schools; his father was a public-school math teacher. To my astonishment, in essentially all cases, the papers were seriously misrepresented, he wrote.

One relevant large-scale experiment on public-school math education has already happened in California. In 2014, the San Francisco public-school system stopped offering an Algebra I course to eighth graders. The change was intended to emphasize depth in teaching, and to delay separating students into different levels and kinds of math. Everyone would be in the same math class. Except, of course, not everyone: students at private schools still had an accelerated track. (As of 2015, nearly thirty per cent of school children in San Francisco attended private school, one of the highest rates in the nation.) And public-school kids whose parents could pay for outside classes also had that option. I dont know why it seemed like you could solve a problem by widening the privilege gap. What is solved by eliminating content? Maya Keshavan, an engineer and a mother of two, said. I have a son who was old enough to have the old curriculum; then for my daughter I paid for her to take an outside class. Not everyone can do what I did.

In order for typical students to be ready for calculus by their senior year, something that is close to essential for a future STEM major, they would either need to double up on math courses or take a compression course in junior year that combined Algebra II and precalculus. In news releases and in presentations given around the country by the board of the San Francisco Unified School District, leaders touted the success of the program. They have claimed that the repeat rate for Algebra I had dropped from forty per cent to seven per cent. Keshavan filed a request for the data, through the California Public Records Act. She found that the earlier repeat rate was in fact four per cent. (The district maintains the forty-per-cent figure, saying that this figure was based on students repeating Algebra I at any point during high school.) What I think was truly educational malpractice was the compression course, Keshavan said. It made students think they were prepared when they werent. To be eligible for admission to the University of California system, students need to have completed three years of college-preparatory mathematics, and whether compression courses qualify depends on the courses content. A group of professors from Stanford, Berkeley, U.C.L.A., and Harvard, including Nelson and Mims, wrote in a joint letter that STEM degrees are some of the best paths for social mobility and that the compression course was antithetical to responsible preparation.

School-board leaders also claimed that diversity had increased in advanced math courses. One presentation slide showed that the number of Black students passing an advanced math class had increased from eleven per cent to forty-two per centan extraordinary change. But those percentages referred to a shift from three out of twenty-seven students to five out of twelve studentsin the entire San Francisco public-school system. Those numbers, any way you look at them, are awful, and too small to reveal any trend.

Keshavans kids are now both out of high school. Her son is an electrical engineer, and her daughter is a junior in college, majoring in a STEM field, but Keshavan has continued her activism. I dont know why I cant let it go, but its just so wrong, she said. its just so upsetting to me that were putting all these kids at a disadvantageand why? Because some grownups cant admit that they made a mistake. San Franciscos curricular changes remain in place. In fact, the first draft of the C.M.F. cited the statistics from the school-board presentations.

Jelani Nelson, a professor of electrical engineering and computer science at the University of California, Berkeley, is the son of an Ethiopian mother and an African American father. For the past eleven years, he has devoted time and energy to AddisCoder, a free summer program he founded while finishing his Ph.D. at M.I.T., that teaches computer science to high-school students in Ethiopia; he has also launched a program called JamCoders, in Jamaica, and is a co-founder of the David Harold Blackwell Summer Research Institute, which aims to help more Black students pursue Ph.D.s in mathematics. Im extremely worried, he said, that the C.M.F. is implicitly advocating for certain groups of people to be pushed away from rigorous math courses into essentially a lower track, setting back progress in improving diversity in STEM.

Critics of the data-science track, such as Conrad and Nelson, are not opposed to data science as a subject. Conrad said that some of these courses are fine, but he argued that data literacy could be taught in any number of high-school courses, such as biology, political science, or a regular math class. Nelson, while teaching at Harvard, was part of a team tasked with integrating quantitative reasoning with data into the undergraduate curriculum. Among the fields that came to include courses with Q.R.D. were biology, government, economics, and sociology. Recently, both California State University and the University of California system wrote formal letters expressing concerns, following a review of the C.M.F. The California State letter suggested that the data-science pathway could potentially diminish equity.

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California Students Are Struggling in Math. Will Reforms Make the Problem Worse? - The New Yorker

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Here’s how cloud computing will drive future of data analytics – ETCIO

By Amit Gupta

In our daily life, the number of the devices connected via IoT is rapidly increasing. Businesses today rely greatly on cloud data analytics to tackle the challenge of keeping up with the current pace of data being generated, used, and stored. Cloud data analytics comes as an effective solution to make better decisions for businesses by tracking data patterns and eliminating the need for assumptions. As per recent study by Statista, by 2030 about 50 million IoT-connected devices will be used across the world, generating huge chunks of data. Majority of this data will be store and analyzed on cloud.

Cloud offers access to various services like servers, data analytics, AI, and more. Cloud data analytics helps attract new customers as well as recognize patterns in data enabling businesses to serve their existing customers better making the whole process cost-effective.

Cloud computing came as lifesaver to help organizations tackle the hassle of physical servers.

Cloud computing consists of a set of hardware and software that can be accessed remotely through any web browser. It allows you to access data from any web browser as opposed to being restricted to a particular hard drive. When you apply the principle of analytics to the data in the cloud drives, it is termed cloud-based analytics.

Cloud analytics stores, processes and analyses business data using cloud technologies. A hybrid cloud analytical model, used by some organizations allows some functions to be performed only in cloud-hosted environments, while others are performed on-premises servers. However, most organizations are moving to the cloud entirely as they decide to up their analytics program.

Capabilities Of the CloudThe Cloud removes the need for the organization to manage their traffic as it comes with readymade infrastructure. It lets organizations bring changes by increasing or decreasing cloud storage depending on whether the business is scaling up or down. This makes it more suitable as it cuts the cost of installing new hardware and enables businesses to quickly respond to market demands ensuring they make customers happy by meeting their requirements on time.

Put simply, cloud analytics gives way to a more flexible budget as compared to in-house analytics solutions by eliminating the need for hardware, equipment, data centers or regular upgradation. More and more organizations are now benefiting from enhanced data quality by combining data analytics with machine learning technologies. They are heavily investing in developing cloud capabilities so as to gain maximum benefits. With the right tackling of Cloud & Data by skilled cloud professionals, the cloud can play a significant role in improving the performance of organizations and provide greater insights through detailed data analytics.

Creating value with CloudHeres top benefits that organizations have found to be useful by embracing cloud for data analytics & machine learning:Track better insights

Cloud analytics makes it possible to record and process data simultaneously irrespective of the location of local servers. It allows companies to track crucial insights like sales of an item from a specific location thus helping them to adjust their productions accordingly. Collecting and analyzing data, helps understand customers' behavior. Cloud thus provides the right insights companies to make better decisions and function more effectively.

Scalability:Scaling analytics becomes easier with the cloud as it allows companies to add storage depending on the changes in the organizations. Having data analytics in place synced with Cloud, allows organizations to be more responsive to new demands of the business and adjust rapidly to meet customer requirements and make the most of the opportunities as they open up.

Social Media:Processing activities across different social media platforms isn't an easy task. With cloud storage, however, social media site data can be analyzed simultaneously, allowing for faster quantification of results and a more targeted approach. The time to analyze the data insights gathered from different platforms becomes easier when integrated with Cloud which can throw light on the areas of improvement for the business to flourish as well as know the performance of the business on each platform in a detailed manner in real-time.

Governance & Security:Cloud offers superior control & security to its users. Over 50% of companies prefer to store their confidential data in the cloud. The main reason being the data stored in Cloud is encrypted thus preventing access to the hackers. Data analytics via Cloud offers better auditing capabilities, gives better control on the access, and acts as single source of truth in understanding the data of an organization. Cloud storage of analytics thus becomes useful also during times of emergencies or other natural disasters since data is safeguarded well.

Collaboration & Easy Access:With cloud analytics, different individuals can work together through file-sharing applications. This collaboration proves beneficial, especially for global organizations with employees operating across different regions. The changes made can be seen in real-time cutting down on the turnaround time between teams and makes collaboration easy.

Cost Savings:One of the advantages of cloud computing services is that they don't need hardware, data centers, or equipment which makes them highly cost-efficient. Organizations can easily scale up or down their cloud server usage and pay based on the changes in the ML or data science workload. Cloud allows organization to follow a subscription based model which enables businesses to have a more flexible budget planning as per the demands.

The FutureTaking all the cloud capabilities as well as the potential risks that come with it into consideration, organizations are increasingly choosing cloud for its many benefits with data being one of the most important deciding factors. The goal is to ensure that data can be successfully processed and analyzed faster with the help of cloud experts.

The enormous possibilities of the cloud combined with the security, reliability and affordability factors predict an expansion of data analytics use in the cloud. For a business to achieve peak performance, Cloud & data insights provided through them will become more crucial than ever before. Cloud is now touted as a necessity rather than a luxury for businesses to thrive.

The author is the Founder and CEO at Rapyder Cloud Solutions

Disclaimer: The views expressed are sole of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organization directly or indirectly.

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Liberation Technology Services Combats Concerns of Censorship, Data and Privacy Breaches That Are Crippling Big Tech – PR Newswire

Liberation Technology Services, a full-scale provider of tech infrastructure and independent digital solutions, offers private cloud hosting, web/app development solutions complemented by un-compromised privacy and cyber security. Developed by freedom-first technology experts, they're taking on the irresponsible actions and nefarious practices that have been plaguing the privacy of millions of Americans and affecting organizations globally.

TAMPA, Fla., Sept. 6, 2022 /PRNewswire/ -- A cybersecurity attack occurs every 39 seconds, according to a study by the University of Maryland. Thirty-percent of cyberattacks cost victim companies $500,000+ in 2020 according to a survey conducted by Harris Poll.

A staggering 39% of costs from these data breaches are not recognized until over a year after the breach, according to IBM research. Making it difficult for companies to gauge the negative financial impact and invaluable loss of trust.

With the immense increase in data, privacy breaches, and biased censorship with de-platforming, these have become liabilities that destroy bottom line profits.

The past two years reveal examples of the financial and reputational ramifications of cyberattacks. A Pipeline experienced a ransomware attack that crippled their functionality. Big box brands have experienced the leaking of their customer data and business documents costing millions in remediation.

Additionally, the "fine print," agreed to within the service and terms agreements of most Cloud Solution Providers, gives them opportunities to sell and mine customer's data, making that data no longer proprietary. Big Tech has earned billions of dollars monetizing data.

Liberation Technology Services, a full-scale provider of tech infrastructure and independent digital solutions, is calling on businesses and organizations to wake up to the agendas compromising the tech industry. Privacy, security, online sovereignty, and a censorship-free guarantee, are imperative to the safety and success of their companies.

Founder of Liberation Technology Services and Former White House Official Andrew Riddaugh states, "It's no secret that current Cloud Solution Providers pose a serious risk to businesses and organizations in the areas of data privacy, security, sovereignty, and potential de-platforming. The elephant in the boardroom is that never before has it been so essential for them to begin to seek out scalable alternatives to hyper-scale CSPs."

The questions stand: "Will these concerns of privacy, data, and online sovereignty finally raise the red flag of consideration to migrate to other CSPs, like Liberation Technology Services? Or will companies continue to raise their flag of surrender and stay locked behind the gray bars of uncertainty, continuing to risk the proprietary data of their consumers and freedom of remaining online?"

Liberation Technology Services focuses on liberating companies online with peace of mind via their "Iron Dome" cyber-defense that takes a multi-layered approach to secure their data with multiple "zero-knowledge" private data centers. They also have a censorship-free guarantee, never will they censor, silence, or de-plaform any of their customers and at no time will they resell their customer's data.

Freedom online isn't "free" with current CSPs. The security of a company's customer data, as well as the opportunity to continue to state their brand message and fundamental opinions online, are compromised.

Liberation Technology Services' solutions restores freedom to an industry that has been jeopardized by the greed and agendas of Big Tech. Companies need to be aware that other providers like LTS are available and not financially stifling to their organization's budgets.

The question is clear: "Is it okay for business data and customer privacy to be compromised for the sake of saving pennies?" No - that trust is priceless.

For More Information Visit http://www.liberationtek.com

Liberation Technology Services on Social Media Twitter | Truth Social | Instagram | Facebook |LinkedIn

About Liberation Technology Services

Liberation Technology Services is a full-scale provider of tech infrastructure and independent digital solutions. Liberation Technology Services advances businesses, and organizations of all sizes with private cloud hosting, web/app development solutions and a multi-layered "Iron Dome" cyber-defense system supported by zero-knowledge private data centers located throughout the United States. Liberation Technology Services proudly offers un-compromised privacy and cyber security, and a censorship free guarantee, preserving the freedom and security of businesses, and organization's data and likeness online.

Media Contact:Evie Phillips[emailprotected]917-336-5381

SOURCE Liberation Technology Services

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Structure Research to Host the Annual infra / STRUCTURE Summit Toronto 2022 – Business Wire

TORONTO--(BUSINESS WIRE)--Structure Research, an independent research and consulting firm with a special focus on the Internet infrastructure market, presents its Annual infra / STRUCTURE Summit Toronto 2022 conference to be held September 14-15, 2022 at Vantage Venues in Toronto, Canada. infra / STRUCTURE is an exclusive industry summit that brings together executives from across the Internet infrastructure ecosystem hyperscale, cloud, data centre, edge and managed hosting - for high-value networking and discussion about the industrys status and future directions. This year, the conference theme is acceleration focusing on how the sector is pushing into a new stage of growth, powered by next-generation products and services. Attendees can expect frank discussion and debates, forward-looking projections and market share research and data.

As an independent research and consulting firm, Structure Research provides a vendor-neutral event that brings together the key pieces of the value chain including operators, developers, end users, suppliers and financiers. Structure Research built infra / STRUCTURE for Internet infrastructure executives to network, learn and get business done all against the backdrop of third party research and data.

The Annual infra / STRUCTURE Summit event connects the infrastructure services sector, offering cloud and data centre executives a chance to stay informed and participate in the industrys latest conversations. The 2022 agenda features speaking appearances from expert industry minds such as James Buie, President and CEO of Involta; Jon Thomsen, CEO of Atmosera; Jonathan Seelig, Co-Founder of Ridge, Adam Lewis, Managing Director of DH Capital, Kurt Daniel, CEO of Ubersmith; Jeff Ferry, Director of Goldman Sachs, Sandy McMurty, VP of Interconnection Strategy of QTS; Zachary Smith, Global Head of Edge Infrastructure of Equinix, Andy Stewart, CEO of Evoque Data Centers; and Chris Street, Head of Data Centres of JLL.

This years infra / STRUCTURE Summit includes two days of exclusive expert and analyst presentations along with networking opportunities for 2022 sponsors and attendees. Sponsoring the Summit is a host of distinguished companies including DH Capital as the Cornerstone Sponsor; Equinix as the Platinum Sponsor; and Corero, Digital Realty, NetApp, and Ubersmith as Gold Sponsors. The sponsor list continues with CoreSite, Opus Interactive, Vertiv, CIT, JLL, RBC Capital Markets, Schneider Electric, Virtuozzo, Webpros, Layer 7 Capital, EdgeConnex, Lazard, Solomon Partners, TPM and Innovorg.

Structure Research introduced infra / STRUCTURE to focus on the disruptive nature of hyperscale cloud and how it is shaping the internet infrastructure on a global basis. Since the COVID-19 pandemic, the trends around hyperscale, decentralization and convergence continue to push forward at an accelerated pace. We look forward to hosting another event of collaboration, learning, and networking, notes Philbert Shih, Managing Director of Structure Research.

The agenda for Annual infra / STRUCTURE Summit Toronto 2022 has been created to be forward-looking to foster discussion about the state of the internet infrastructure market and lead discussion about the future of the industry.

For more information on infra / STRUCTURE Summit, visit https://www.infrastructuresummit.io/.

For more information on Structure Research, visit http://www.structureresearch.io

About Structure Research

Structure Research is an independent research and consulting firm with a specific focus on the cloud, hosting and data center segments within the internet infrastructure market. We are devoted to understanding, tracking and projecting the future of infrastructure service providers. Our mission is to publish the best research and analysis, and supply the most comprehensive data sets about the internet infrastructure services market. We provide the information and perspective necessary to make accurate strategic decisions.

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EDJX Announces New Chief Executive Officer and Seed Funding Round – PR Newswire

EDJX gains market momentum and accelerates the adoption of serverless edge computing

RALEIGH, N.C., Sept. 6, 2022 /PRNewswire/ --EDJX, the pioneer in decentralized global serverless edge computing, today announced that it has hired a new CEO while simultaneously raising a seed round of funding. EDJX's CEO Benjamin Thomashas assumed day-to-day leadership of the company and joined EDJX's Board of Directors. Thomas is a serial entrepreneur and founder of two companies, which combined sold for over two hundred million dollars in enterprise value to strategic acquirers on less than $60 million in equity investment.

EDJX brings compute, storage, and sensor hosting services close to the developer.

Additionally, EDJX closed $3M in new funding led by Intersouth Partners, bringing EDJX's overall fundraise to date to $15M. These developments attest to the tremendous momentum EDJX continues to gain in the market, reinforcing its dedication to making a meaningful contribution to serverless edge computing.

"The Board and I are confident that Benjamin is the right person at the right time for EDJX," said Mitch Mumma, Managing General Partner, Intersouth Partners. "He is an experienced leader with a track record of success and a great understanding of what it takes to manage a young hyper-growth company and evangelize a corporate vision. We feel privileged that he has agreed to be EDJX's CEO during this time of rapid growth and market traction for the company."

EDJX brings compute, storage, and sensor hosting services close to the developer, making it easy to write, deploy and execute applications without paying for servers and maintaining infrastructure. The EDJX serverless edge computing environment allows developers to build instantly global, powerful applications closer to endpoints and users than ever before. EDJX has recently opened its platform to developers to build and scale apps free of charge onEDJX Serverless. Developers can sign up for the EDJXPlatformhere.

"Serverlessis the future for IoT technology because it's nimble, cost-effective, and close to the action. Think 'computing-as-a-service,' where servers are used for capacity when needed. The world's next-gen IoT applications must be able to move from server to server in near real-time, which requires a completely different architecture than current cloud tools," said Benjamin Thomas, CEO of EDJX. "I am honored to join EDJX at this exciting time in the company's growth trajectory. I look forward to leading the company and offering our amazing platformavailable to the market. EDJX's multi-tenant mesh compute, storage, and sensor hosting network makes it incredibly easy for developers to deploy to the edge. As our recent round of funding attests, now is the time to bring serverless edge to the mainstream, and EDJX is on the cusp of this shift."

Benjamin Thomas was an Ernst & Young Entrepreneur of the Year nominee and holds a BS in Mechanical Engineering from Tulane University and an MS in Management from Stanford University.

About EDJX

EDJX is an intelligent Edge OS and computing platform that makes it easy to write, deploy, and execute applications using serverless computing to increase responsiveness and security. EDJX's edge mesh network of micro-compute and storage nodes minimizes latency, eliminates expensive backhauling of data, accelerates content delivery, and rapidly deploys IoT sensors at the far edge. EDJX helps businesses handle the explosive demand for data processing to serve real-world edge computing applications, including industrial IoT, artificial intelligence, augmented reality, and robotics. EDJX is a privately held company based in Raleigh, NC. VisitEDJXand follow EDJX on LinkedInand Twitter.

Media contact:[emailprotected]

SOURCE EDJX, Inc.

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Daily Close – Your Source for Bitcoin and Altcoin Market Closes

Cryptocurrency trading operates a little differently from other financial markets because of the more decentralized nature of the industry. Theres no overarching authority when it comes to crypto market hours, but rather a number of unaffiliated cryptocurrency exchanges all operating independently from each other (Coinbase, Binance, Poloniex, etc.). Unlike the New York Stock Exchange (NYSE), NASDAQ, and London Stock Exchange (LSE), traders and investors buy and sell cryptocurrency 24 hours a day everyday of the year. When looking at the stock market, investors and traders are able to tell what price point a stock closed the day at. However, cryptocurrency markets dont have standard market hours like a traditional 9:30am - 4:00pm trading day so it can make things a little trickier.

Fortunately, thats why the cryptocurrency community has come up with a market time frame of their own to help traders and crypto enthusiasts alike. Though trading takes place all hours of the day, the way traders measure how a cryptocurrency is performing is through a daily 24 hour time frame, this is the daily close. At the end of a full day of trading (12:00 UTC), traders compare the price of a cryptocurrency to what its price was exactly 24 hours ago. This is how the price movement and performance is calculated when looking at a percentage change in Bitcoin for example, as well as any and all other cryptocurrencies.

The daily close of a cryptocurrency is important for the same reasons the stock market daily close matters. Traders and enthusiasts dont have the time to watch every cryptocurrency trading on the market for the entirety of the day, but when they look at the daily close in the market, they get a brief snapshot of how the cryptocurrency is performing. Looking at the daily close is a great way to stay up to date on the latest happenings in the markets and gauge how a particular cryptocurrency is performing compared to the day before. On a larger scale, investors use daily closings in the market to identify macro trends and make predictions about how certain assets are likely to perform in the future. Regardless of what youre using it for, knowing the daily close in the crypto market is a great way to stay connected with whats going on subscribe to our different timers to never miss a close in the crypto markets again!

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10 Best Altcoins Of 2022 Forbes Advisor – Forbes

Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations.

The definition of an altcoin has evolved since the early days of cryptocurrency, when only a handful of crypto assets existed. Back then, anything but Bitcoin (BTC) was considered to be an altcoin.

Today the world of crypto assets is much broader. There is a wide variety of coins and tokens with use cases that go well beyond a medium of exchange, meaning they arent necessarily Bitcoin competitors.

Still, for lack of a better designation at the moment, the basic definition of an altcoin is any crypto asset other than Bitcoin.

Heres a look at the top 10 altcoins by market capitalization, excluding stablecoins. Weve excluded stablecoins since they are designed to maintain a stable price and are not typically considered to be a speculative investment.

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Of the nearly $1 trillion that represents the total market capitalization of the more than 20,000 crypto assets available today, nearly 20% is held in Ethereum, the biggest altcoin on the market.

Unlike Bitcoin, which is characterized as a decentralized currency, think of Ethereum as a distributed computing network where users can use the blockchain to run decentralized applications (dApps) and host smart contracts.

BTC is a store of value while ETH is a decentralized playground for builders to determine the future in the technological innovations of blockchain technology, says Walker Holmes, vice president of metaverse platform MetaTope.

Critics of Ethereum point to high fees for conducting transactions. But with the thousands of apps and other altcoins powered by its blockchain, Ethereum is here to stay.

Binance Coin is a utility token that can be used to pay trading fees and get discounted trades on the Binance exchange. You can even use BNB outside the Binance crypto exchange for payment processing, such as booking travel arrangements.

Critics say BNB isnt as decentralized as other altcoins. Another risk is a reported Securities and Exchange Commission (SEC) investigation into whether Binance should have registered BNB as a security during its initial coin offering.

XRP can be used to facilitate exchanges of different currency types with digital technology and payment processing company Ripple Labs. Although this altcoin has extremely low transaction fees, critics note it is facing legal challenges.

Ripple and two of its executives are involved in an SEC lawsuit alleging they should have registered XRP as a security, and the company says XRP is instead a currency.

Cardano was an early adopter of the proof-of-stake consensus mechanism, which speeds up transaction time by removing the competitive and energy-intensive problem solving dimension of platforms like Bitcoin.

Cardano is a thought leader in the industry that has paved the way for proof of stake consensus mechanisms, Holmes says. ADA is a blockchain solution that promises low fees with higher levels of security than many of its counterparts.

But Daniel Logvin, CEO of blockchain network provider and consultancy LedgerByte, says the altcoin promised too much and has yet to deliver.

Developed to help power decentralized finance and apps as well as smart contracts, Solana runs on a unique hybrid proof-of-stake and proof-of-history mechanisms to process transactions quickly and securely.

Solana is one of the fastest blockchains out there. Still, it has also faced criticism for being too centralized with very few validating nodes compared with Ethereum, says Whitney Setiawan, research analyst with digital assets exchange Bitrue.

Holmes says Solana is a highly scalable blockchain solution with very low fees but has seen outages and downtime.

Dogecoin is the original meme coin, famously started as a joke in 2013. Nevertheless, it has rapidly evolved into a prominent cryptocurrency thanks to a dedicated community and creative memes.

Richard Gardner, CEO of financial software provider Modulus Global, points out that DOGE has had some big backers but remains riskier than Bitcoin.

Altcoins like DOGE can fluctuate to extreme lows and highs depending on market volatility since they have yet to prove real-world use cases, says Garry Krugljakow, founder of 0VIX Protocol, a decentralized app that enables crypto lending and borrowing.

This altcoin powers the Polkadot ecosystem, where developers can build specific-purpose blockchains as spokes connecting to the main Polkadot blockchain hub, says Max Thake, co-founder of peaq, a blockchain network built on Polkadot. DOT is the native token for Polkadot.

(There is) a sustained demand for DOT from projects aiming to build on Polkadot, he says.

This altcoin has better-shared security and is a leader in developer activity and many projects, says James Wo, CEO at blockchain and cryptocurrency investment firm Digital Finance Group. But project progress has been slow, and it lacks star applications to help boost its ecosystem, he says.

Polygon is an Ethereum-based scaling platform that allows developers to build dApps with low transaction fees.

It allows people to process transactions on top of the Ethereum network, Logvin says. This solution increases efficiency and saves tons of money on gas (transaction fees). Gas fees, a transaction fee, are usually cheaper on Polygon than on Ethereum.

Like DOGE, this is another meme coin. Dubbed the Dogecoin killer, its a joke based on a joke. Although its based on the Ethereum blockchain, Shiba Inu is one altcoin not to invest in for a use case, although there are SHIB-based non-fungible tokens (NFTs) out there.

That doesnt mean theres no investment case. Speculators can make a lot of money but lose it all with this highly volatile crypto asset.

Tron is a blockchain that developers can use to share media content and and create decentralized applications. TRX also has a healthy total value locked (TVL) or amount of money deposited in decentralized finance. TVL is the total value of crypto assets deposited in a decentralized finance (DeFi) protocol, such as staking, lending or liquidity pools.

A high TVL indicates the popularity of a protocol and the adaption rate of a particular cryptocurrency. Currently, TRXs TVL stands at $5.7 billion, according to DeFi Llama.

*Market caps and pricing sourced from coinmarketcap.com, current as of Sept. 1, 2022.

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10 Best Altcoins Of 2022 Forbes Advisor - Forbes

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Analyst Says Ethereum, Polkadot and Four Additional Crypto Assets Are Top Altcoin Picks for Accumulation – The Daily Hodl

A popular analyst says he has his radar locked on a number of altcoins that are high on his list for accumulation including Ethereum (ETH) and Polkadot (DOT).

Crypto strategist Michal van de Poppe tells his 624,700 Twitter followers that he believes the crypto markets are giving long-term bulls the opportunity to accumulate digital assets at deeply discounted prices.

In addition to leading smart contract platform Ethereum and interoperability chain Polkadot, Van de Poppe says hes currently accumulating Cosmos (ATOM), an ecosystem of blockchains designed to scale and communicate with each other.

The crypto strategist also says he has his eye fixed on SKALE (SKL), a blockchain network that aims to allow developers to create and provide decentralized chains that are completely compatible with Ethereum, as well as Mina Protocol (MINA), a project designed to speed up the blockchain identification process.

Looking closer at Ethereum, Van de Poppe forecasts in a new strategy session that ETH must hold its immediate support to possibly ignite a rally to his target above $2,000.

Clearly, you want to see it test around $1,450 to $1,475. If that holds, we can continue. You want to see a crack of $1,685.

Looking at Van de Poppes chart, the analyst predicts a potential Ethereum rally to $2,225. At time of writing, ETH is swapping hands for $1,556.

As for Bitcoin (BTC), Van de Poppe says the king crypto is currently trading within a narrow range in the lower timeframe between $19,000 to $20,600.

You technically want to see it hold above this area here ($19,800) If we do lose $19,800 to $20,000, probably were going to sweep the lows here ($18,900). And then question will become whether we get a very high volume candle liquidity grab and then reverse immediately and then we can go to the other side of the range ($20,600).

Should BTC surge to $20,600, Van de Poppe predicts a breakout rally to $22,000.

At time of writing, BTC is valued at $19,866.

I

Featured Image: Shutterstock/Alina Spiridonova/Natalia Siiatovskaia/Fotomay

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Analyst Says Ethereum, Polkadot and Four Additional Crypto Assets Are Top Altcoin Picks for Accumulation - The Daily Hodl

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Crypto Trader Predicts Over 60% Crash for One Ethereum-Based Altcoin, Unveils Outlook for Bitcoin and Cardano – The Daily Hodl

A widely followed crypto trader is expressing bearish sentiment toward one Ethereum-based altcoin while revealing his forecast for Bitcoin (BTC) and Cardano (ADA).

The pseudonymous crypto analyst known as Altcoin Sherpa tells his 182,400 Twitter followers that the native token of Lido DAO (LDO), the decentralized autonomous organization (DAO) behind the Lido Ethereum staking protocol, could fall by about 64% from its current price.

LDO: Wouldnt long this thing until more destruction, maybe $0.75? There will be bounces along the way though.

LDO is trading at $2.07 at the time of writing.

Altcoin Sherpa then says that the $19,000 price level is a support zone for Bitcoin that can offer the flagship digital asset a base for launching a stronger bounce.

However, the analyst says that if Bitcoin were to decline to $19,000 from its current level, altcoins could dip by about 10%.

BTC: I still believe $19,000 (or around there) should provide a stronger bounce. Guessing altcoins take another 10% haircut if this happens.

Bitcoin is changing hands for $20,260 at the time of writing.

Altcoin Sherpa concludes his analysis with smart contract platform Cardano (ADA). According to the crypto trader, Cardano could fall further before bouncing higher.

ADA: Havent looked at this chart in a while butis it possible these charts are forming some sort of accumulation? Lots of volume transacted in this area right now, maybe this is the mid-term bottom (possibly a spike to mid/low $0.30 and then up after)?

Cardano is moving for at $0.448 at the time of writing, a 2.4% dip on the day.

Featured Image: Shutterstock/klyaksun

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Crypto Trader Predicts Over 60% Crash for One Ethereum-Based Altcoin, Unveils Outlook for Bitcoin and Cardano - The Daily Hodl

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