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Disrupting the disruptors: The power of hybrid integration – ITProPortal

Technology has transformed the way that businesses are run and led to the emergence of a new type of company think about the likes of Uber, Netflix and Citymapper. These disruptors have pushed the boundaries of whats possible, appealing to consumer expectations for joined-up services and a seamless experience.

These agile start-ups have changed the way the market works, sending a message to the rest on the need to innovate. One reason the disruptors can do this is they dont have to worry about data stacked anywhere other than the cloud, meaning they can focus on the here and the now. However, the established players have a wealth of historic information thats been built up over the years and which is spread across the cloud, at the edge or on-premise. Building a company fit for the 21st century requires a holistic view of the business, presenting companies with unique challenges in that there is a need to integrate all of this disparate information.

And so, in the context of todays landscape, how can the established players disrupt the disruptors?

For consumers of the digital era, experience is everything. They expect newfound convenience and flexibility and will have no problem looking elsewhere if this cannot be provided. This begs the question: how can the traditional players hope to keep up if this is the case?

However, things arent as complex as they seem. One reason these new companies can drive such positive results comes down to the fact there is no reliance on legacy databases, and they can take advantage of existing third-party systems. For example, Citymapper leverages open data from the Transport of London to retrieve journey information and provide real-time visibility over transport schedules, allowing customers to make the best choice of journey based on timings. Meanwhile, Uber uses Googles APIs to run their mapping software and match customers with the drivers closest to them. From there, the data is stored and used to predict supply and demand, as well as set fares.

In both cases, these services have been built on existing integrations, meaning they dont run into the same problems as many of the established players. On the other hand, heritage companies rely on systems that they have created over the years which are stored and siloed across multiple data sources, meaning innovation is blocked as a result. Ultimately, organisations must integrate if they are to drive innovation after all, why reinvent the wheel?

Were living in a period where information is key, and where companies in every industry are inundated with data from all sides. And this is only set to rise, with IDC predicting that the global datasphere will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025. In terms of how this is stored, many organisations have initiated cloud-first policies, meaning no new data should be stored in their data centres. The reasons for this drive to the cloud are numerous given the number of business benefits. For example, the cloud provides unlimited storage and accessibility from anywhere in the world.

While some companies already do everything in the cloud, the vast quantities of data collated by heritage organisations is stored across multiple data sources. It is therefore likely that these organisations will always have some systems stacked in heritage servers as a result of the costs involved, the datas complexity and the inability to replicate it in the cloud.

This means there is a need to integrate data and applications stored on-premise, in the cloud and between the two. This is where hybrid integration comes into play. It removes the need to relocate legacy information from on-premise sites and creates new systems to enhance efficiencies.

Clearly, hybrid integration must be on the agenda for established companies if they are to drive success in the digital world. But for all the benefits, there is no shortage of challenges that organisations must overcome when it comes to hybrid integration.

For a start, connecting existing systems with cloud applications is highly complex for established companies, whose applications are spread disparately. For example, these companies have data stored on-premise, in SaaS applications and are sharing data and documents with partner organisations. With the majority of integration platforms lacking the capabilities to integrate all of these sources, companies must ensure they invest in solutions which can connect their existing applications to a cloud landscape.

Elsewhere, the proliferation of connected devices brings new challenges in itself. With organisations estimated to manage over 50 billion devices by 2020, businesses must ensure their integration technologies can link IoT devices directly with business applications and the workflows they connect. Whats more, these technologies need to be able to quickly connect devices over any network and provide device conditioning, real-time analytics and dashboards.

Hybrid integration presents businesses with newfound opportunities by enabling them to connect existing data sources with cloud applications. Those companies which fail to act risk falling behind as agile start-ups leverage existing APIs to enhance their products and services.

The challenge therefore centres around how heritage companies can keep up with the competition. These businesses must think about the long-term issues if they are to overcome their integration challenges. Companies that adapt quickly will not only avoid being disrupted by nimble competitors but will truly benefit from these changes. By combining hybrid integration platforms with enterprise integration technologies, organisations can succeed in addressing the complex issues they run into on their integration projects.

Sue Cameron, Head of Integration, Software AG

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Alexa and Google enabled smart plugs are just $7.50 each in this crazy year-end sale – BGR

Amazons big holiday sale might be over now that its Christmas Eve, but the deals are just as good or even better in the retailers new Year-End Sale. Dont believe us? Well, you will after you check out this killer deal. Wi-Fi smart plugs from big brands typically cost between $17 and $30 a pop. $30 for one plug! Thats crazy, and todays deal on top-selling smart plugs is proof. Grab a 4-pack before they sell out and you can get Meross WiFi Mini Smart Plugs for just $7.50 a piece! They work with an app, Alexa, and Google Assistant, and you dont need to buy a hub or anything else to make them work.

Heres more info from the product page:

Follow @BGRDeals on Twitter to keep up with the latest and greatest deals we find around the web. Prices subject to change without notice and any coupons mentioned above may be available in limited supply. BGR may receive a commission on orders placed through this article.

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IBM and the U. of Tokyo launch quantum computing initiative for Japan | – University Business

IBM (NYSE:IBM) and the University ofTokyo announced today an agreement to partner to advance quantum computing and make it practical for the benefit of industry, science and society.

IBM and theUniversity of Tokyowill form theJapan IBM Quantum Partnership, a broad national partnership framework in which other universities, industry, and government can engage. The partnership will have three tracks of engagement: one focused on the development of quantum applications with industry; anotheron quantum computing system technology development; and the third focused on advancing the state of quantum science and education.

Under the agreement, anIBM Q System One, owned and operated by IBM, willbe installed in an IBM facility inJapan. It will be the first installation of its kind in the region and only the third in the world followingthe United StatesandGermany. The Q System One will be used to advance research in quantum algorithms, applications and software, with the goal of developing the first practical applications of quantum computing.

IBM and theUniversity of Tokyowill also create a first-of-a-kind quantumsystem technology center for the development of hardware components and technologies that will be used in next generation quantum computers. The center will include a laboratory facility to develop and test novel hardware components for quantum computing, including advanced cryogenic and microwave test capabilities.

IBM and theUniversity of Tokyowill also directly collaborateon foundational research topics important to the advancement of quantum computing, and establish a collaboration space on the University campus to engage students, faculty, and industry researchers with seminars, workshops, and events.

Quantum computing is one of the most crucial technologies in the coming decades, which is why we aresetting up this broad partnership framework with IBM, who is spearheading its commercial application,said Makoto Gonokami, the President of theUniversity of Tokyo. We expect this effortto further strengthenJapans quantum research and developmentactivities and build world-class talent.

Developed byresearchers and engineers fromIBM Researchand Systems, the IBM Q System One is optimized for the quality, stability, reliability, and reproducibility of multi-qubit operations. IBM established theIBM Q NetworkTM, a community of Fortune 500 companies, startups, academic institutions and research labs working with IBM to advance quantum computing and explore practical applications for business and science.

This partnership will sparkJapansquantum researchcapabilities by bringing together experts from industry, government and academia to build and grow a community that underpins strategically significant research and development activities to foster economic opportunities acrossJapan, saidDario Gil, Director of IBM Research.

Advances in quantum computing could open the door to future scientific discoveries such as new medicines and materials, improvements in the optimization of supply chains, and new ways to model financial data to better manage and reduce risk.

TheUniversity of Tokyowill lead theJapan IBM Quantum Partnership and bring academic excellence from universities and prominent research associations together with large-scale industry, small and medium enterprises, startups as well as industrial associations from diverse market sectors. A high priority will be placed on building quantum programming as well as application and technology development skills and expertise.

For more about IBM Q:https://www.ibm.com/quantum-computing/

AboutUniversity of Tokyo

TheUniversity of Tokyowas established in 1877 as the first national university inJapan. As a leading research university, theUniversity of Tokyooffers courses in essentially all academic disciplines at both undergraduate and graduate levels and conducts research across the full spectrum of academic activity. The University aims to provide its students with a rich and varied academic environment that ensures opportunities for both intellectual development and the acquisition of professional knowledge and skills.

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IBM and the University of Tokyo Launch Quantum Computing Initiative for Japan – Martechcube

IBM (NYSE:IBM) and the University ofTokyo announced today an agreement to partner to advance quantum computing and make it practical for the benefit of industry, science and society Martech News.

IBM and theUniversity of Tokyowill form theJapan IBM Quantum Partnership, a broad national partnership framework in which other universities, industry, and government can engage. The partnership will have three tracks of engagement: one focused on the development of quantum applications with industry; anotheron quantum computing system technology development; and the third focused on advancing the state of quantum science and education Martech.

Under the agreement, anIBM Q System One, owned and operated by IBM, willbe installed in an IBM facility inJapan. It will be the first installation of its kind in the region and only the third in the world followingthe United StatesandGermany. The Q System One will be used to advance research in quantum algorithms, applications and software, with the goal of developing the first practical applications of quantum computing.

IBM and theUniversity of Tokyowill also create a first-of-a-kind quantumsystem technology center for the development of hardware components and technologies that will be used in next generation quantum computers. The center will include a laboratory facility to develop and test novel hardware components for quantum computing, including advanced cryogenic and microwave test capabilities.

IBM and theUniversity of Tokyowill also directly collaborateon foundational research topics important to the advancement of quantum computing, and establish a collaboration space on the University campus to engage students, faculty, and industry researchers with seminars, workshops, and events.

Quantum computing is one of the most crucial technologies in the coming decades, which is why we aresetting up this broad partnership framework with IBM, who is spearheading its commercial application,said Makoto Gonokami, the President of theUniversity of Tokyo. We expect this effortto further strengthenJapans quantum research and developmentactivities and build world-class talent.

Developed byresearchers and engineers fromIBM Researchand Systems, the IBM Q System One is optimized for the quality, stability, reliability, and reproducibility of multi-qubit operations. IBM established theIBM Q NetworkTM, a community of Fortune 500 companies, startups, academic institutions and research labs working with IBM to advance quantum computing and explore practical applications for business and science.

This partnership will sparkJapansquantum researchcapabilities by bringing together experts from industry, government and academia to build and grow a community that underpins strategically significant research and development activities to foster economic opportunities acrossJapan, saidDario Gil, Director of IBM Research.

Advances in quantum computing could open the door to future scientific discoveries such as new medicines and materials, improvements in the optimization of supply chains, and new ways to model financial data to better manage and reduce risk.

TheUniversity of Tokyowill lead theJapan IBM Quantum Partnership and bring academic excellence from universities and prominent research associations together with large-scale industry, small and medium enterprises, startups as well as industrial associations from diverse market sectors. A high priority will be placed on building quantum programming as well as application and technology development skills and expertise.

For more about IBM Q:https://www.ibm.com/quantum-computing/

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CMSWire’s Top 10 AI and Machine Learning Articles of 2019 – CMSWire

PHOTO: tiffany terry

Would you believe me if I told you artificial intelligence (AI) wrote this article?

With 2020 on the horizon, and with all the progress made in AI and machine learning (ML) already, it probably wouldnt surprise you if that were indeed the case which is bad news for writers like me (or not).

As we transition into a new year, its worth noting that 73% of global consumers say they are open to businesses using AI if it makes life easier, and 83% of businesses say that AI is a strategic priority for their businesses already. If thats not a recipe for even more progress in 2020 and beyond, then my name isnt CMSWire-Bot-927.

Today, were looking back at the AI and ML articles which resonated with CMSWire's audience in 2019. Strap yourself in, because this list is about to blast you into the future.

ML and, more broadly, AI have become the tech industry's most important trends over the past 18 months. And despite the hype and, to some extent, fear surrounding the technology, many businesses are now embracing AI at an impressive speed.

Despite this progress, many of the pilot schemes are still highly experimental, and some organizations are struggling to understand how they can really embrace the technology.

As the business world grapples with the potential of AI and machine learning, new ethical challenges arise on a regular basis related to its use.

One area where tensions are being played out is in talent management: a struggle between relying on human expertise or in deferring decisions to machines so as to better understand employee needs, skills and career potential.

Marketing technology has evolved rapidly over the past decade, with one of the most exciting developments being the creation of publicly-available, cost-effective cognitive APIs by companies like Microsoft, IBM, Alphabet, Amazon and others. These APIs make it possible for businesses and organizations to tap into AI and ML technology for both customer-facing solutions as well as internal operations.

The workplace chatbots are coming! The workplace chatbots are coming!

OK, well, theyre already here. And in a few years, there will be even more. According to Gartner, by 2021 the daily use ofvirtual assistants in the workplacewill climb to 25%. That will be up from less than 2% this year.Gartneralso identified a workplace chatbot landscape of more than 1,000 vendors, so choosing a workplace chatbot wont be easy. IT leaders need to determine the capabilities they need from such a platform in the short term and select a vendor on that basis, according to Gartner.

High-quality metadata plays an outsized role in improving enterprise search results. But convincing people to consistently apply quality metadata has been an uphill battle for most companies. One solution that has been around for a long time now is to automate metadata's creation, using rules-based content auto-classification products.

Although enterprise interest in bots seems to be at an all-time high,Gartner reports that 68%of customer service leaders believe bots and virtual assistants will become even more important in the next two years. As bots are called upon to perform a greater range of tasks, chatbots will increasingly rely on back-office bots to find information and complete transactions on behalf of customers.

If digital workplaces are being disrupted by the ongoing development of AI driven apps, by 2021 those disruptors could end up in their turn being disrupted. The emergence of a new form of AI, or a second wave of AI, known as augmented AI is so significant Gartner predicts that by 2021 it will be creating up to $2.9 trillion of business value and 6.2 billion hours of worker productivity globally.

AI and ML took center stage at IBM Think this year, the shows major AI announcements served as a reminder that the company has some of the most differentiated and competitive services for implementing AI in enterprise operational processes in the market. But if Big Blue is to win the AI race against AWS, Microsoft and Google Cloud in 2019 and beyond, it must improve its developer strategy and strengthen its communications, especially in areas such as trusted AI and governance

Sentiment analysis is the kind of tool a marketer dreams about. By gauging the publics opinion of an event or product through analysis of data on a scale no human could achieve, it gives your team the ability to figure out what people really think. Backed by a growing body of innovative research, sentiment-analysis tools have the ability to dramatically improve your ROI yet many companies are overlooking it.

Pop quiz: Can you define the differences between AI and automation?

I wont judge you if the answer is no. There's a blurry line between AI and automation, with the terms often used interchangeably, even in tech-forward professions. But there's a very real difference between the two and its one thats becoming evermore critical for organizations to understand.

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Machine Learning in 2019 Was About Balancing Privacy and Progress – ITPro Today

The overall theme of the year was two-fold: how can this technology make our lives easier and how can we protect privacy while enjoying those benefits? Natural language processing development continued and enterprises increasingly looked to AI and machine learning in 2019 for automation. Meanwhile, consumers became more concerned about the privacy of all that data theyre creating and enterprises are collecting, with consequences for businesses especially those that rely on said data for various technological processes or must invest in ensuring its security.

This year was a big one for analytics, big data and artificial intelligence but at the current pace of development, every subsequent year in this sector seems bigger than the last. Here are five of the leading stories in big data, AI and machine learning in 2019, with an eye to how they may continue to unfold in 2020.

Related: Prepare for Machine Learning in the Enterprise

The dominance of Amazons digital personal assistant, Alexa, in the home is clear, but this falls slew of new Alexa product announcementswas a sign that the workplace is the logical next step. An Alexa-powered enterprise seems increasingly likely as Facebook, Google and Microsoft all put their own resources into advancing natural language processingfor both voice-powered assistants and chatbots. The tech will become even more important if the growth of robotic process automation (see below) also continues and it emerges as another way to automate things in the enterprise space.

In 2019, it became increasingly clear that the enterprise is past preparing for the impact of machine learningon their operations and into the time for action for organizations that want to stay ahead of the enterprise machine learning curve. According to Gartner, seven out of 10 enterprises will be using some form of AI in the workplace by 2021.

The countrys most populous state and one thats home to many tech companies finished negotiations for its GDPR-esque California Consumer Privacy Actin September, with the law taking effect on the first day of 2020. Many tech companies put up strong opposition to CCPR, but Microsoft unexpectedly announcedin November that it would apply the regulations to customers across the country. Its a sign that the tech giant anticipates that CCPR isnt the only law of its kind likely to take effect in the U.S., especially as the push for federal regulationscontinues. Microsoft recently announced a regulatory compliance dashboard in Azure and AI-powered recommendations in the Microsoft 365 admin center to include guidance for compliance with the European Unions General Data Protection Regulation.

The world beyond the United States continued to affect the adoption and use of machine learning and big data in this country in 2019. Visa issuesaffected not just talent acquisition a challenge for the enterprise in taking AI and machine learning in 2019 from the organizational wishlist to implementation but also research, as it hampered conference travel. Chinas own advancements in artificial intelligence, and the ethical issues related to data privacythat have emerged, could also affect policy and practices in the U.S. especially as things shift to 5G. Barring a sea change in China related to data collection and use, the country should continue to affect tech adoption here in the United States in 2020.

Robotic process automation a group of technologies that let line of business users set up, launch and administer virtual workers sans the IT department is still a small sector in software. Worldwide revenue was at $850 million in 2018. However, its also a quickly growing one because it frees up workers from routine work and cuts labor costs. As automation becomes more robust, natural language processing continues to advance quickly and data quality improves, look for this sectors growth to continue in 2020 -- with big potential in IT and HR departments in particular. Robotic process automation is here to assume the standardized, routine tasks for any organization that generates or uses data.

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Top chess player reportedly won’t play for Iran due to ban on Israeli players – NBCNews.com

DUBAI Iran's top rated chess champion has decided not to play for his country, Iranian news agencies reported on Tuesday, in an apparent reaction to Tehran's informal ban on competing against Israeli players.

Alireza Firouzja, the world's second-highest rated junior player, would be the second Iranian sports figure in recent months to try to renounce his citizenship over pressures on Iranian athletes to forego matches with Israeli competitors.

In October, Iran was banned indefinitely from international judo by the sport's world body until it could guarantee that its athletes would be allowed to face Israelis. The move came after an Iranian judoka said he was pressured to drop out of bouts to avoid facing an Israeli athlete.

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"Firouzja has made his decision and has told us that he wants to change his nationality," the president of Iran's Chess Federation, Mehrdad Pahlavanzadeh, told the semi-official news agency Tasnim.

"Firouzja is currently living in France ... and may want to play under the French or U.S. flag," Pahlavanzadeh told the news agency ISNA.

Firouzja wanted to take part in an upcoming world championship in Russia even though Iran had decided not to attend, Pahlavanzadeh said, without referring to Israel.

Firouzja could not be reached for comment.

In April, Iranian media reported that Firouzja had refused to play against an Israeli player in a tournament in Germany.

Iranian political and sports officials have openly called on the country's athletes not to compete against Israelis as a sign of opposition to Iran's arch-enemy and solidarity with the Palestinians.

Iranian Supreme Leader Ayatollah Ali Khamenei has repeatedly praised athletes who have refused to face opponents from Israel.

Since its Islamic Revolution in 1979 Iran has refused to recognize Israel.

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King Salman World Rapid and Blitz Chess Championships set to begin – Insidethegames.biz

The King Salman World Rapid and Blitz Championships are set to begin tomorrow at Central Chess Club in Moscow.

World champion Magnus Carlsen of Norway headlines the field.

He is fighting not only for the titles, but also for first place in the Live Chess Ratings rapid list.

France's Maxime Vachier-Lagrave overtook him after his good run at the Grand Chess Tour Finals in London earlier this month.

Despite the fatigue of playing non-stop, Vachier-Lagrave will also participate in Russia's capital.

Experts and fans will be closely following Ukraine's Anton Korobov, fifth in the Live Chess Ratings rapid list.

Last month, Korobov won the rapid stage of the Grand Chess Tour in Bucharest and proved that his high position was no coincidence.

The womens events will bring together all the best except world champion Ju Wenjun of China and Russian challenger Aleksandra Goryachkina, whose match for the world chess crown is due to take place next month.

Among the competitors is Ukraine's Anna Muzychuk, third in the Live Chess Ratings rapid list.

Action is scheduled to be spread during three days, with 15 rounds in the men's event and 12 in the women's competition.

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2019 in review: Which altcoins performed the best vs Bitcoin? – Yahoo Finance

2019 has proved to be a roller-coaster year for the cryptocurrency market.

Bitcoin started the year at lows of around $3,150 before threatening to break its all-time high in the summer, surging all the way up to $14,000.

However, as can be expected with the volatility of the crypto markets, the worlds largest cryptocurrency is now around 45% down from that summer high and is currently trading at $7,500 at the time of writing.

But which altcoins grew the most against Bitcoin during 2019?

In this article, Ill take a look at the top three altcoins that have performed the most impressively over the course of the year.

Before I dive a bit deeper into each altcoin individually, let me take a moment to compare the gains among the top five coins vs Bitcoin.

Much to my surprise, the top altcoin of 2019 is Ocean Protocol (OCEAN). The OCEAN token grew a whopping 404% against Bitcoin over the year.

Next up is Chainlink (LINK) with an impressive 256% gain, followed closely by Egretia (EGT), Tezos (XTZ), and Ripio Credit Network (RCN).

Lets take a closer look at the biggest movers individually: Ocean Protocol, Chainlink, and Tezos.

Above we can see the chart for OCEAN vs Bitcoin, courtesy of TradingView.

What the chart shows is a fairly straightforward positive trend line since the summer. From mid-August 2019 to December 2019, Ocean Protocol grew over 400%.

Moreover, looking at the EMAs, price is still performing quite well. It is currently sitting at 621 sats and is looking to break 700 sats soon.

Ocean Protocol claims it is kickstarting a data economy by breaking down data silos and equalising access to data for all.

OCEAN provides an ecosystem for the data economy and associated services, with a tokenised service layer that securely exposes data, storage, and algorithms for consumption.

However, since its inception, the OCEAN token is down quite a lot from its original IEO price.

I personally believe the rally this year has been led by early investors who got a 22.5% discount rate from the IEO price. As such, I cannot vouch for the fundamentals of the project since it has only recently started trading to the public.

Depending on the behaviour of OCEAN whales (institutional investors who bought in during the pre-seed stage), the token could continue to increase in price.

However, since so much of the supply is locked away with big players, I do expect a major dump to take place sometime in the near future -much like what happened with Matic and other IEOs.

Story continues

Here we can see the chart for Chainlink vs Bitcoin, courtesy of TradingView.

Fundamentally, the Chainlink network provides reliable tamper-proof inputs and outputs for complex smart contracts on any blockchain.

LINK is currently trading above 25,500 sats. Until fairly recently, LINK was the top performing altcoin of the year. However, a substantial dump in November took the altcoin below its 20-day and 50-day EMAs.

At the moment, its looking grim for Chainlink as price is almost touching the 200-day EMA, near 24,000 sats.

Despite this latest downtrend, LINK is still up over 230% against Bitcoin since the start of the year. At its peak, Chainlink was up over 330% versus Bitcoin.

However, LINK hasnt been able to hold its gains and the volume profile shows the coin could be in dire straits. If LINK is unable to hold support near 24,000 sats, it could drop further down towards the next levels of support at 20,000 and 12,000 sats.

Its important to underline though that Chainlink dumped over 50% between July and September before making its way to new all-time highs.

This means we could see LINK drop below 18,000 sats before pumping again.

If buyers remain in control, I expect LINK to pump sometime during Q1 2020. The altcoin historically reaches new all-time highs every 115 to 130 days, so we could see a new high during February or March 2020.

On the other hand, if price drops down further below 12,000 sats and is incapable of pushing towards the 200-day EMA, I would switch my position and avoid LINK.

Next we can see the chart for Tezos vs Bitcoin, once more courtesy of TradingView.

That November pump looks quite impressive, doesnt it? Thats because Tezos mainnet was released around that time.

Fundamentally, Tezos is an open-source platform for assets and applications backed by a global community of validators, researchers, and builders.

At the moment, XTZ is trading at around 22,800 sats. The altcoin has grown over 170% against Bitcoin since early November.

From March 2019 to the end of April 2019, XTZ grew over 150% versus BTC. However, the pump convinced investors who had been holding Tezos since 2017 to start selling.

Tezos dropped below all its EMAs, and the ensuing death cross saw XTZ touch a low of 8,000 sats. Essentially, the altcoin fell close to 70% in just over 60 days.

From July to November, there was a strong consolidation period while sellers remained in control. XTZs year was saved by the November pump and Tezos once again finds itself above all its EMAs.

However, the volume profile doesnt show a major support interval until the 12,000 sats range, meaning we could see substantial drops even during bullish rallies.

My current analysis is that if XTZ isnt capable of breaking the 26,000 sats level and drops below its 20-day and 50-day EMAs, Im expecting Tezos to consolidate between 10,000 and 12,000 sats for quite some time.

Nevertheless, it seems a great time to wait for XTZ to cool down before making any serious moves.

Safe trades!

The post 2019 in review: Which altcoins performed the best vs Bitcoin? appeared first on Coin Rivet.

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Altcoins bubble on the way, crypto market cap may reach $11 trillion by 2023 – FXStreet

Cryptocurrency analyst Benjamin Cowen forecasted another altcoin bubble by 2023. He used logarithmic regression to predict that the total capitalization of altcoins will hit $11 trillion.

According to his forecast, the next alt season rally may result in 313x return. Under such scenario, the market value will reach $32 trillion by 2023. However, Cowen says that this estimation is unrealistic.

Meanwhile, 11 trillion is a more conservative and achievable capitalization peak. This scenario implies that Bitcoin will reach $141,000 per coin before the price enters another downside correction. However, its market dominance will retreat to 23%, while the market capitalization will be registered at $2.7 trillion.

At this stage, altcoin rally looks like a distant dream as Bitcoin's market dominance has grown to $68.9% amid sharp sell-off on the market during the previous week. The total market value of the first digital coin is registered at $136 billion, while the price has settled at $7,550, mostly unchanged since the beginning of Monday.

As we are heading into the holiday season, the low liquidity conditions may lead to sharp price movements and volatility spikes. In 2019, the Christmas was quiet as the market drifted within narrow ranges. However, in 2017 we witnessed wild price movements before Christmas that took Bitcoin to a new all-time high at $19,810.

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