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#Artificial Intelligence in Healthcare – Sim&Cure Announces the Appointment of Dan Raffi as Chief Operating Officer and Board Member – Yahoo Finance

Paris --News Direct-- Sim&Cure

Sim&Cure, leading medtech start-up providing a unique software solution combining Digital twin and AI technologies to secure neurovascular treatment of cerebral aneurysms, announces the appointment of Dan Raffi as Chief Operating Officer and member of the Board of Directors.

We are excited to announce that Dan Raffi, PharmD, MBA has joined Sim&Cure as our new Chief Operating Officer on October 1st.

Dan is a veteran of the healthcare industry, with a track record of over 10 years at an executive level. Dan has held various leadership positions in big pharmaceutical companies such as Allergan (AbbVie) and Medtronic, a worldwide leader in medical devices.

Dan brings with him extensive experience in leadership and in managing unique business transformations. Mathieu Sanchez, Sim&Cure CEO statesBringing a seasoned leader like Dan will ensure the next phases of our transformation and will help us to reinforce our leadership in innovation using Digital twin and AI in endovascular procedures.

Until recently, Dan was the Vice President of Global Marketing for Medtronic Neurovascular and previously led the Neurovascular division in Europe, Middle East, & Africa & Russia for 3 years. Over his past 7 years in Neurovascular, Dan developed unique and disruptive partnership at international level with governments and with many external partners like MT2020, RapidAI, Viz.Ai and Sim&Cure.

Ive been watching Sim&Cure for the past 7 years and I never forgot my first support to the company. There were 3 employees working in a garage (a kind of French Dream!). In 7 years, Sim&Cure established unique computational and AI algorithms which position their products as THE cutting-edge technology in endovascular procedures. This technology is already the standard of care across the globe as it reduces the procedure time, improves the safety and performance for patients and reduces the procedure cost for hospitals and healthcare systems. In the coming decade, AI will be the next revolution in the healthcare industry, and this is one of the reasons I decided to join Sim&Cure. said Dan Raffi.

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In his role, Dan will collaborate with Christophe Chnafa, Chief of Innovation & Strategy Officer, to define the product portfolio roadmap to reinforce Sim&Cures leadership, to expand the geographic footprints of the company, and finally to define the next generation of partnerships with the rest of the industry and hospitals.

This phase is a critical moment for Sim&Cure and I can lean on very well established, dynamic, agile teams. I know many of them after 7 years of collaboration and it is obvious that these teams are ready to overachieve the needs of healthcare providers and the expectations of investors. We have all the attributes to be successful and, as an entrepreneurial leader, it is a privilege to join a team with this level of expertise and agility said Dan Raffi.

We are #HIRING

If you are interested in joining a human adventure in artificial intelligence, we are #hiring, so please send an email with your resume to Pierre Puig @ p.puig@sim-and-cure.com HR Director

About Sim&Cure

Founded in 2014 and located in the vibrant medtech ecosystem in Montpellier, France, Sim&Cure is an AI startup focused on improving endovascular surgery. The first focus of the company is the treatment of cerebral aneurysms with a proprietary software suite Sim&Size (a CE marked and FDA cleared Class IIa medical device) that has already been used to treat more than 7000 patients in 350 hospitals.

The company employs 45 people and anticipates a phase of strong growth with additional recruitment in 2022 to continue to improve patient care.

Learn more about Sim&Cure:

http://www.sim-and-cure.com

Learn more about Mathieu Sanchez

https://www.linkedin.com/in/Mathieu-sanchez-4a764637/

Learn more about Dan Raffi:

https://www.linkedin.com/in/dan-raffi-7491171b/

Learn more about Christophe Chnafa:

https://www.linkedin.com/in/christophe-chnafa

Dan Raffi

d.raffi@sim-and-cure.com

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#Artificial Intelligence in Healthcare - Sim&Cure Announces the Appointment of Dan Raffi as Chief Operating Officer and Board Member - Yahoo Finance

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Artificial intelligence powered marketing – The Times of India Blog

The marketing creates a competitive advantage to organization with an integrated approach of systems automation. The AI approach of marketing provides a benefit of granular decision-making and micromanagement of customers. The traditional approach of the bottom to up in handling the customer journey is becoming obsolete.

Marketers use Artificial Intelligence to drive the increasing demand of customers. The integrated apps with machine learning give a satisfying user experience to customers. The interaction designs can be made attractive with the use of technology like AI and enable the micro-moments management of customers.

The expanding applications of AI empower the CMOs of organziations to adopt it for upgrading their services and redefine the marketing for the elevated experience. The customized marketing by using the modern top to bottom approach is leading to new horizons of marketing where every segment of the consumer is offered the best services.

The AI leverages the capabilities of information systems and connect the end-to-end business processes and provide a flawless experience. The marketers who have adopted the power of AI are excellent performers in terms of Marketing outputs in an organizations.

Views expressed above are the author's own.

END OF ARTICLE

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Combatting Cyber Threats with Artificial Intelligence (AI) – Will the New EU AI Regulation Help? – Lexology

In 2021 cyber threats have been trending to increased ransomware attacks, commodity malware and heightened Dark Web enablement. INTERPOL reported that the projected worldwide financial loss to cyber crime for 2021 is $6 trillion, twice as much as in 2015, with damages set to cost the global economy $10.5 trillion annually by 2025. Globally, leading tech experts reported that 60% of intrusions incorporated data extortion, with a 12-day average operational downtime due to ransomware.

With the acceleration to cloud, companies are taking advantage of cybersecurity in an effort to meet the threat of fast-evolving cyber attacks. AI and machine learning are a way to keep ahead of criminals, automate threat detection, and respond more effectively than before. At the same time, more sophisticated, centralised security operations centres are being set up to detect and eliminate vulnerabilities.

In April 2021, the European Union published its Proposal for a Regulation on Artificial Intelligence (the "AI Regulation"). At this early stage in the legislative process, these are the key takeaways:

As expected, the debate around this legislation has already started. On the positive side, this regulation may become the global standard, in the same way GDPR has become. It may also make AI systems more trustworthy and offer extra protections to the public. On the other side, it may stifle innovation, add more costs and red-tape, which may hinder start-ups from entering the market. We will hear more on this around the world before it becomes law, currently expected in 2023.

How could the AI Regulation improve cyber security?

Cybersecurity AI systems play a crucial role in ensuring IT systems are resilient against malicious actors. The new AI Regulations will undoubtedly affect these systems. Exactly how these systems will be affected will depend on the system (e.g. for law enforcement use of biometrics, facial recognition) which may lead to conformity assessments, explainability testing, registration, and more.

Considering the speed and agile process that technology is developed today, companies and innovators should consider how might the future AI Regulation affect such technology development.

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Combatting Cyber Threats with Artificial Intelligence (AI) - Will the New EU AI Regulation Help? - Lexology

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The Rapid Proliferation Of Emerging Technologies Like Artificial Intelligence And Machine Learning To Achie… – TechBullion

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The GlobalIoT in Healthcare Marketsize is forecast to grow from USD 60.83 Billion in 2019 to USD 260.75 Billion by 2027, delivering at a CAGR of 19.8% through 2027. The market growth is driven by increasing focus on active patient engagement and patient-centric care, growth of high-speed network technologies for IoT connectivity, and the surging need for the adoption of cost-control measures in the healthcare sector.

The increasing prevalence of AI (Artificial Intelligence) in the medical industry has revolutionized patient care. In 2018, the global spending on IoT initiatives was nearly USD 646 billion. Medical practitioners are increasingly banking on real-time data for rendering immediate services, for the treatment of various diseases, and even for tracking resources like staff, assets, patients, and others. This has led to increased penetration of real-time monitoring systems and connected devices into the healthcare sector. The connected devices are being leveraged for gathering extensive data recording and analysis.

The proliferation of IoT in hospitals has improved functional efficiency, enabling better patient care, improved disease management, and treatment outcomes. High investments by hospitals for the adoption of advanced technology for the best medical care in both developed and developing economies will boost IoT in healthcare market growth. Moreover, the introduction of new healthcare products integrated with IoT will foster IoT in healthcare market revenue share over the forecast period. For instance, Ericsson and Brighter introduced Actiste, in October 2019, which is the first complete IoT-health solution for treating and monitoring insulin-dependent diabetes.

To understand how our report can bring difference to your business strategy, Ask for a brochure

Market Dynamics:

Increasing development of on-demand, digitally enabled, and seamlessly connected clinician-patient interactions to manage patient base is expected to drive pharma and healthcare market in the coming years. After the COVID-19 outbreak there has been a number of foundational shifts in the healthcare system. Some of the examples include increasing consumer involvement in health care decision-making, the rapid adoption of virtual health & other digital innovations, increasing focus on utilization of interoperable data & data analytics, and increased public-private collaborations in therapeutics and vaccine development. The increased public-private collaborations for vaccine development has arisen due to high pressure of regional governments. Health care providers, and other stakeholders have invested heavily to quickly pivot, adapt, and innovate therapeutics.

Surging demands and transition to patient-centric care delivery across geographies will change pharma and healthcare market trends through 2027.

Competitive Outlook:

The report focuses on current and emerging trends in the healthcare industry such as incorporation of IoT and Machine Learning to enhance efficiency of medical products. Top companies in the market are focusing on R&D activities to expand their product offerings and cater to unmet medical needs.

Request a customization of the report @https://www.reportsanddata.com/request-customization-form/2186

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Artificial intelligence is looking for tipping points in the climate system – Market Research Telecast

as Tipping points in the climate system are variables that cause a drastic change in the climate above a certain threshold value. Because beyond these tipping points, so the idea, a self-reinforcing mechanism is set in motion that accelerates climate change ever more. Well-known tipping points are, for example, the thawing of the Arctic permafrost, the collapse of the oceanic current systems or the thawing of the ice sheets at the poles whether and how many more such points there are is the subject of current research.

This article is from issue 7/2021 of the Technology Review. The magazine will be available from September 30th, 2021 in stores and directly in the heise shop. Highlights from the climate booklet:

Chris Bauch from the University of Waterloo and his colleagues have now trained a deep, neural network to Identify tipping points in climate systems and give warnings when the system approaches a dangerous tipping point. The approach is based on an abstract description of complex, dynamic systems: The system analyzes the auto-correlation of time series values and learns to recognize specific patterns that herald a bifurcation, a qualitative change in state.

However, Bauchs team is by no means the only one trying to get better predictions about climate change with the help of machine learning and artificial intelligence, reports MIT Technology Review in its current issue 07/2021. For example, a team led by Tapio Schneider from the California Institute of Technology is working on eliminating a central weakness of current climate models with the help of machine learning: the extremely simplified modeling of clouds.

Because the global models that were used for the current IPCC report, for example, model the climate system in a grid with an edge length of 100 kilometers. Clouds are much smaller they will therefore be parameterized, that is, one cell of the model is calculated as 20 percent cloudy, for example. Schneider and his colleagues therefore take the basic physical equations of physical climate models and coarsen them by using, for example, averaged values on a large energy grid. In order to still be able to model the small-scale, dynamic processes of the clouds, they add additional functions to the equations that cover these processes. These functions, which are essential for dynamics, are learned by neural networks from high-resolution, local cloud simulations and weather data.

Others like Jakob Runge from the TU Berlin use the methods of causal inference to identify cause-effect relationships in climate data with the help of AI. We defined variables such as temperature, pressure and so on in certain regions. Then, when we apply that to the observation data, we see what the causal network looks like, says Runge. Some processes are interconnected, others are not. You get a network of dependencies a kind of fingerprint. Then we take the same variables in models, learn the causal network in the model data and compare. Are they the same? Where do the models not form the reality so well? And not necessarily in the absolute values, but in the causal relationships. The method can also be used to calculate the reliability of a model, not only on the current, but also on future data.

(wst)

Disclaimer: This article is generated from the feed and not edited by our team.

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Bitcoin climbs to highest in nearly two weeks – Reuters

A representation of virtual currency Bitcoin is seen in front of a stock graph in this illustration taken January 8, 2021. REUTERS/Dado Ruvic/File Photo

NEW YORK/LONDON, Oct 1 (Reuters) - Bitcoin rose on Friday to its highest level since around mid-September, bolstered in part by seasonal factors as well as supportive comments overall from U.S. Federal Reserve Chairman Jerome Powell on Thursday.

In testimony to Congress, Powell said the Fed had no intention of banning cryptocurrencies, in response to a question from House Representative Ted Budd.

Some analysts also said October is typically a bullish month for digital assets, with September historically a bearish period for the sector.

"The digital asset market is benefiting both from the seasonality effect as well as generally positive market fundamentals," said Ulrik K.Lykke, founder of crypto assets hedge fund ARK36.

"Q4 has often seen strong performances and the expectation the trend will continue this year can become a self-fulfilling prophecy. It is possible that we will see new all-time highs in Q4, especially that on-chain data, particularly in the case of bitcoin, seem to indicate a potential for a strong bull market continuation."

He also cited Powell's comments on Thursday as one factor for bitcoin's positive price action.

The largest cryptocurrency was last up 9.3% at $47,910, after hitting a high of $48,236.08. If gains are maintained, bitcoin would be on pace to post its largest daily percentage gain since mid-June.

Smaller coins ether and XRP , which tend to move in tandem with bitcoin, were up 10.1% at $3,301 and 8.5% at $1.0326, respectively.

Joseph Edwards, head of research at Enigma Securities in London, also said spiking volumes on crypto derivatives exchanges was a possible driver for the moves. Derivatives trading often influences spot prices in bitcoin markets.

In the futures markets, bitcoin showed a net short position of -883 , the smallest since mid-August, data from the Commodity Futures Trading Commission released on Friday showed.

Reporting by Gertrude Chavez-Dreyfuss in New York and Tom Wilson in London; Editing by Saikat Chatterjee, Chizu Nomiyama and Richard Chang

Our Standards: The Thomson Reuters Trust Principles.

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Cryptocurrency prices today: Bitcoin gains, ether, cardano slip. Latest rates here – Mint

Cryptocurrency prices today were mixed with Bitcoin trading below $48,000. The largest cryptocurrency by market capitalization jumped by about $2,500 within a matter of minutes on Friday and was trading around $48,000 for most of the weekend, having spent more than a week before that in the lower $40,000s.

Bitcoin prices today were marginally higher at $47,946. The world's largest cryptocurrency by market capitalization is up 65% this year (year-to-date), and much below its record of near $65,000 it had hit in April.

Ether, the coin linked to ethereum blockchain and the second largest crypto, plunged over 1% to $3,378. Cardano prices also fell to $2.22 whereas dogecoin rose marginally to $0.22. The performance of other digital tokens including XRP, Litecoin, Stellar were also mixed over the last 24 hours.

Bitcoin rose on Friday to its highest level since around mid-September, bolstered in part by seasonal factors as well as supportive comments overall from Federal Reserve Chairman Jerome Powell on Thursday.

Bitcoin was hit on multiple fronts in September, including a botched roll-out of the coin as legal tender in El Salvador and tightening of regulatory oversights in the US and China. It delivered a negative return for the fifth straight year for the 30-day period last month. The crypto asset has been on a losing streak in terms of monthly performance in September since 2017.

China's central bank had said all financial transactions involving cryptocurrencies are illegal, sounding the death knell for the digital trade in the country after a crackdown on the volatile digital tokens.

China has been tightening its crackdown on cryptocurrencies, and its efforts to restrain the trading and mining are adding to the wild moves in bitcoin and other markets, which are already down hard from records set earlier this year.

(With inputs from agencies)

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Bitcoin and Ethereum Weekly Technical Analysis October 4th, 2021 – Yahoo Finance

Bitcoin

Bitcoin, BTC to USD, rallied by 11.70% in the week ending 3rd October. Reversing an 8.58% fall from the week prior, Bitcoin ended the week at $48,242.0.

A mixed start to the week saw Bitcoin fall to a Wednesday intraweek low $40,804.0 before making a move.

While steering clear of the first major support level at $39,470, Bitcoin fell through the 38.2% FIB of $41,592.

Finding mid-week support, however, Bitcoin rallied to a Sunday intraweek high $49,196.0 before easing back.

Bitcoin broke back through 38.2% FIB and the first major resistance level at $47,119 to end the week at $48,200 levels.

4 days in the green that included an 9.86% jump on Friday delivered the upside for the week.

Bitcoin would need to avoid a fall through the $46,081 pivot to support a run the first major resistance level at $51,357.

Support from the broader market would be needed for Bitcoin to break out from the 23.6% FIB of $50,473.

Barring an extended crypto rally, the first major resistance level would likely cap any upside.

In the event of an extended breakout, Bitcoin could test resistance at $55,000 levels before any pullback. The second major resistance level sits at $54,473.

A fall through the $46,081 pivot would bring the first major support level at $42,965 into play.

Barring an extended sell-off, Bitcoin should steer clear of the sub-$40,000 levels and the second major support level at $37,689. The 38.2% FIB of $41,592 should limit the downside.

At the time of writing, Bitcoin was down by 0.59% to $47,956.0. A mixed start to the week saw Bitcoin rise to an early Monday high $48,289.0 before falling to an early Monday low $47,770.0.

Bitcoin left the major support and resistance levels untested early on.

Ethereum rallied by 11.77% in the week ending 3rd October. Reversing an 8.05% decline from the previous week, Ethereum ended the week at $3,420.07.

A bearish start to the week saw Ethereum fall to a Wednesday intraweek low $2,781.99 before making a move.

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Steering clear of the 38.2% FIB of $2,740 and the first major support level at $2,692, Ethereum rallied to a Sunday intraweek high $3,489.18.

Ethereum broke through the 23.6% FIB of $3,369 and the first major resistance level at $3,388 to end the week at $3,400 levels.

5-days in the green that included a 10.36% breakout on Friday delivered the upside in the week.

Ethereum would need avoid the 23.6% FIB of $3,369 and the $3,230 pivot level to support a run at the first major resistance level at $3,679.

Support from the broader market would be needed, however, for Ethereum to break out from $3,500 levels.

Barring an extended crypto rally, the first major resistance level would likely cap any upside.

In the event of another extended breakout, Ethereum could test resistance at $4,000 before any pullback. The second major resistance level sits at $3,938.

A fall through the 23.6% FIB of $3,369 and the $3,230 pivot would bring the first major support level at $2,972 into play.

Barring an extended sell-off in the week, Ethereum should steer clear of the 38.2% FIB of $2,740. The second major support level sits at $2,523.

At the time of writing, Ethereum was down by 1.12% to $3,381.88. A mixed start to the week saw Ethereum rise to an early Monday high $3,428.24 before falling to an early Monday low $3,352.36.

While Ethereum left the major support and resistance levels untested, Ethereum briefly fell through the 23.6% FIB of $3,369.

This article was originally posted on FX Empire

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Visa’s New Payment System Will Accept Everything From Bitcoin to Dollars – The Motley Fool

When Bitcoin (BTC) launched in 2009, it promised to work as an intermediary-free digital payment. Today, there are over 12,000 types of cryptocurrency, disrupting all kinds of industries, from supply chains to fast and cheap digital payments.

So where does that leave payment processors like Visa? Well, if Visa has anything to do with it, it'll continue to be right in the middle of it all.

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This week, Visa released plans for a Universal Payment Channel, which it says, "acts like a hub, interconnecting multiple blockchain networks and allowing for secure transfer of digital currencies."

Visa's research team believes the channel, which is currently a work in progress, could solve the interoperability challenges faced by many cryptocurrencies. Here's what that means:

Right now, many blockchain ledgers operate in silos, unable to transact with one another. For example, if you wanted to spend Bitcoin on an application that's built on the Ethereum (ETH) network, it would be difficult. Interoperability would solve this problem.

Without it, cryptocurrencies won't be able to reach their full potential. Imagine not being able to transfer money, for example, between bank accounts held at different banks. That's why various organizations, including Visa, are looking for solutions.

Cryptocurrencies like Polkadot (DOT), Avalanche (AVAX), Cosmos (ATOM), and Polygon (MATIC) also operate in this space. They have different solutions and it isn't clear whether one (or several) will emerge as the main interoperability provider.

Another interesting aspect of Visa's proposal is that it is focused as much on Central Bank Digital Currencies (CBDCs) as it is on cryptocurrencies. CBDCs, also known as govcoins, are government-backed digital currencies.

Various governments are considering using blockchain technology to launch their own virtual currencies. China has been piloting a digital yuan for some time, and the Federal Reserve is investigating the potential benefits of a digital dollar.

It's clear from Visa's research that it envisions a future in which these govcoins will play a key role. This is an important trend for crypto investors to pay attention to. Govcoins will offer the benefits of current virtual currencies -- cheap and speedy transactions -- but without the same risk of volatility or coin failure.

But govcoins bring different problems. One issue is that they remove the decentralization that was a core component of Bitcoin's original proposition. Decentralization means cryptocurrencies don't need the backing of a third party like a bank or a government. There are also additional privacy and security concerns.

Govcoins may threaten cryptocurrencies that only offer payment solutions and may also affect the stablecoin industry. But given the number of different types of cryptocurrencies on the market, it is unlikely that govcoins will undermine the industry completely.

Visa has consistently worked to carve a space for itself in the crypto world, from partnering with cryptocurrency exchanges to offer Visa debit cards that earn crypto rewards, to settling the first crypto-only payment. Its latest Universal Payment Channel shows it wants to maintain its pole position, whether that involves working with govcoins or existing cryptocurrencies.

Its research suggests that it is only a question of time before govcoins become the norm, which could put a dent in the long-term prospects of pure payment coins like Litecoin (LTC) and Bitcoin Cash. If you are a fan of interoperability coins, it's good to remember that Visa may be moving into this space. It is easy to focus only on competition from other cryptocurrencies, but businesses can use blockchain technology, too.

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Engiven, Inc. Facilitates $10 Million Dollar Bitcoin Donation, One of the Largest in History – KKTV 11 News

Published: Oct. 4, 2021 at 3:00 AM MDT|Updated: 6 hours ago

SAN DIEGO, Oct. 4, 2021 /PRNewswire/ --Engiven, Inc., a leading cryptocurrency donation platform, is delighted to announce that it has facilitated a $10 million Bitcoin donation, one of the largest singular Bitcoin donations publicly known to date. Engiven is a financial technology leader in the space, providing an enterprise crypto donation management solution for nonprofits of all sizes.

Engiven, Inc. Facilitates $10 Million Dollar Bitcoin Donation, One of the Largest in History

"A donation of this size marks an important stage in the evolution of Bitcoin as an asset and as a charitable tool. Cryptocurrency is rapidly becoming a major influence and impact to the nonprofit world, and Engiven stands at the forefront of innovative ways to help facilitate crypto donations. We couldn't be more pleased to see such a positiveimpact come from our platform, and we are confident this is only the beginning," said James Lawrence, Cofounder and CEO of Engiven.

This landmark donation will support the program growth for one of Engiven's ministry clients and is the largest known Bitcoin donation given to date. The donor started mining Bitcoin on his laptop more than 10 years ago and has been holding all this time. He intends to make other major Bitcoin donations in the future as well.

Engiven expects the strong growth in crypto giving to continue into the year-end. By the end of Q4-2021, Engiven projects to directly serve more than 1,000 nonprofit clients, including some of the largest and most respected in the United States, such as The Salvation Army, Compassion International, March of Dimes, the Navy Seals Foundation and US Figure Skating. With an average donation size of more than $7,500, Engiven believes cryptocurrency will continue to provide an exceptional tax-based giving opportunity for donors who have been holding crypto long-term.

Lawrence continued, "While some cryptocurrency donations are made by young crypto millionaires, the reality is that most major crypto donations are coming from investors and philanthropists who own crypto as part of their overall investment strategy. Our experience is that these donors know which charities they want to support and, in many cases, have been supporting them for years. Cryptocurrency is simply a better way to support nonprofits while also leveraging the best possible tax benefits."

The rapid adoption of cryptocurrency philanthropy is driving growth for many nonprofits and makes this a truly exciting moment for charities. Engiven is thrilled to partner with the nonprofit community and with crypto donors to provide a world class service that does good in the world.

About EngivenEngiven is a leading cryptocurrency donation management platform providing an end to end giving solution benefiting nonprofits and their donors. For more information about Engiven, visithttps://engiven.com or contact James Lawrence, Cofounder and CEO at james@engiven.com.

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SOURCE Engiven, Inc.

The above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.

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