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Test Code : C2020-002
Test appellation : IBM Algo financial Modeler Developer Fundamentals
Vendor appellation : IBM
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IBM kicked off its annual deem companion and developer convention with a focus on making Watson accessible replete over the place. Watson has traditionally been an reply simplest available via IBM’s Cloud capabilities. but these days, IBM announced it's opening Watson to race on any private, public, hybrid or multi-cloud answer. furthermore, IBM is offering an on-premises solution running Watson. IBM is virtually trying to design Watson essentially the most purchasable synthetic Intelligence (AI) solution that can execute where ever the facts resides, in spite of the fact that it's split between platforms.
IBM has been a leader in AI technology with the construction of Watson, an brilliant platform in a position to processing a wide sweep of suggestions and adapting to nearly any application. because its introduction, Watson has been applied to a to well-nigh every diminutive thing from competing with people in video games to customer service to scientific and enterprise modeling. Watson is recognized as an innovative step forward that's paving the course of applied AI. throughout the keynote tackle, a few corporations, including Geico and Hyundai financial, discussed how they're already leveraging Watson AI as the basis of their enterprise options.
IBM is now prolonged the compass of Watson platform (Watson Studio, Watson Assistant, Watson OpenScale, etc) on the brand unique IBM Cloud deepest for information (ICP for facts), which can too live deployed on IBM Cloud or any inner most, public, hybrid, or multi-cloud atmosphere by using Kubernetes technology. additionally, IBM announced an extension of Watson desktop gaining lore of with the Watson laptop researching Accelerator for top-performance GPU clustering.
whereas Watson will race on each power and X86 techniques, there's a performance handicap to running on IBM’s vigour-based methods, and in AI, performance matters. whether it's constructing unique AI fashions or processing suggestions in precise-time, delays can cost companies in productivity, first-class, and/or security. IBM’s vigour AI platform combines numerous Power9 CPUs with Nvidia photographs Processing instruments (GPUs) with lofty GPU reminiscence bandwidth. The PowerAI platform is the most effective GPU-accelerated platform that hyperlinks the processors to the GPUs using Nvidia excessive-pace NVLink interface. The AC922 may too live configured with up to 2 20-core Power9 CPUs and up to six Tesla V100 GPUs. distinctive programs can live linked to scale to up to 256 GPUs. in line with IBM, synchronous exams established the talent to developed AI fashions up to ten instances sooner than competing platforms. subsequently, IBM is now making Watson accessible on the PowerAI platform for on-premises deployments. As a piece of the announcement, IBM is too renaming the PowerAI commerce platform to the “Watson computer Accelerator”.
Watson has become a key basis for the company’s product and service offerings, because of this, IBM is continuing to invest in new capabilities for the platform that should be added in the future. IBM too presents commerce features to assist purchasers in implementing AI in their enterprise, which makes IBM stand out from the comfort of the AI crowd.
whereas IBM didn't spotlight how the enterprise’s different research efforts will influence the Watson platform, TIRIAS research believes that IBM’s leadership in quantum and neuromorphic computing will additional boost the platform and when combined with IBM’s company services, will cozy the commerce a number one station within the evolving AI panorama.
The creator and participants of the TIRIAS research staff achieve not dangle equity positions in any of the corporations outlined. TIRIAS research tracks and consults for organizations prerogative through the electronics ecosystem from semiconductors and sensors to the cloud. individuals of the TIRIAS research crew Have consulted for IBM, NVIDIA, and other businesses replete over the electronics ecosystem.
February 11, 2019 Timothy Prickett Morgan
If nothing else, the IBM i platform has exhibited wonderful sturdiness. One could even stutter legendary durability, in case you want to rob its historical past replete of the fashion lower back to the equipment/three minicomputer from 1969. this is the real starting factor in the AS/four hundred family unit tree and here is when huge Blue, for very sound felony and technical and advertising causes, determined to fork its items to exploit the exciting wants of massive organizations (with the system/360 mainframe and its follow-ons) and miniature and medium groups (beginning with the device/3 and lamentable on through the equipment/34, gadget/32, gadget/38, and gadget/36 within the Seventies and early Eighties and passing in the course of the AS/four hundred, AS/400e, iSeries, paraphernalia i, after which IBM i on vigour methods structures.
It has been a long race certainly, and a lot of valued clientele who Have invested in the platform began means lower back then and there with the early models of RPG and moved their applications ahead and changed them as their businesses developed and the depth and breadth of corporate computing modified, relocating on up through RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three decades makes you a relative newcomer.
there's a longer race ahead, considering the fact that they believe that the companies that are nonetheless operating IBM i programs are the true diehards, those who Have no aim of leaving the platform and that, at the least in line with the survey information they Have been privy too, are aspiring to proceed investing in, or even expand their investments in, the IBM i platform.
to this point, they are not in a recession and heaven inclined there aren't one, so the priorities that IBM i shops Have don't seem to live the ones that they'd a decade ago prerogative through the top of the extremely grandiose Recession. returned then, as became the case in pretty much replete IT corporations, IBM i shops were hunkering down and Have been making an attempt to reduce costs in replete techniques possible, including deferring system upgrades and migrations as well as reducing lower back on other projects. only 29 % of the 750 IBM i retail outlets that participated within the 2019 IBM i marketplace Survey, which HelpSystems did returned in October 2018, had been worried about cutting back IT spending. here's a remarkably low degree, and that i believe is indicative of how incredibly mighty the financial system is – excepting some of the fits and starts they noticed on the conclusion of 2018 and here in early 2019 that design us anxious and could birth putting coerce on things. listed below are the top issues as culled from the survey:
coping with the growth in facts and in figuring out the analytics to chunk on that information ranked a diminutive bit higher on the 2019 IBM i industry Survey than did decreasing prices, and that i mediate over the long haul these issues will develop into more essential than modernizing purposes and dealing with the IBM i talents shortages which are a perennial live troubled. both of those issues are being solved as unique programmers and unique paraphernalia to design unique interfaces to database applications are getting extra accustomed and as technologies comparable to free kindhearted RPG, which appears more dote Java, Python, and php, are being greater largely deployed and, importantly, will too live picked up greater directly by using programmers experienced with these other languages.
Given the character of the customer base, it appears unlikely to me that protection and lofty availability will no longer continue to live simple considerations, despite the fact that the IBM i platform is among the most at ease structures on the earth (and not just because it is imprecise, but because it is enormously difficult to hack) and it has various excessive availability and catastrophe recovery paraphernalia (from IBM, Syncsort, Maxava, and HelpSystems) available for those who want to double up their systems and give protection to their purposes and statistics. The bar is frequently bigger than basic backup and healing for many IBM i shops within the banking, assurance, manufacturing, and distribution industries that dominate the platform. These corporations can’t Have safety breaches, and they can’t Have downtime.
there is a remarkable quantity of balance within the IBM i customer base that they consider, at this point, is reflective in the stability of the IBM i platform and stout Blue’s own perception that it wants a in shape IBM i platform to Have an common hale vim programs company. replete of us live sensible of that the vigour methods hardware company has simply grew to become in 5 quarters of income growth – whatever thing they discussed recently in establishing their own revenue mannequin for the vim systems commerce – however what they didn't live sensible of, and what you should definitely comprehend, is that within the 2nd and third quarters of 2018, the IBM i ingredient of the enterprise grew greatly quicker than the universal power systems company, and the simplest purpose that this didn't befall within the ultimate quarter of 2018 is that earnings of IBM i paraphernalia in this tumble 2017 was quite effective and represented a very challenging examine. The ingredient is, the IBM i commerce has been elevating the vim methods kind regular. (These recommendations in regards to the IBM i enterprise approach compliments of Steve Sibley, vp and offering supervisor of Cognitive techniques at IBM.)
IBM’s personal fiscal balance of the vim platform – which has been bolstered via a stream into Linux clusters for analytics and lofty performance computing simulation and modeling in addition to with the aid of the adoption of the HANA in-memory database by means of SAP purchasers on massive iron machines together with Power8 and now Power9 programs – helps IBM i shoppers believe greater confident in investing in the existing IBM i platform. The fresh facts from a number of discrete surveys, not simply the one done via HelpSystems every year, suggests that agencies are through and stout both carrying on with to design investments within the platform and even in some cases are planning to boost their spending on the IBM i platform in 2019.
As that you would live able to see, the sample of investment plans for the IBM i platform, as proven in the chart above, has no longer modified very plenty at replete in the past four years. it is a remarkably sturdy pattern with but a bit wiggling prerogative here and there that may not even live statistically tremendous. just below a quarter of IBM i shops Have mentioned in the past four years that they arrangement to extend their funding within the platform in each year, and simply below half stutter that they are maintaining constant. This does not signify that the identical companies, yr after 12 months, are investing extra and other organizations are staying pat, year after year. it is way more seemingly that each handful of years – greater dote 4 or five – shoppers upgrade their techniques and expand their skill, and that they then rob a seat tight. The inquire yourself is that the carve up isn’t showing a ways fewer corporations investing and much greater sitting tight. That more than a tenth of the stores don’t live sensible of what their arrangement is as every prior year comes to a nigh is slightly worrying, nonetheless it is honest and suggests that a grandiose portion of shops Have other priorities apart from hardware and working gadget enhancements. we've spoke of this earlier than and they will stutter it again: They deem that the people who reply to surveys and skim weekly publications concentrated on the IBM i platform are essentially the most energetic stores – the ones more more likely to live enormously latest on hardware and application. So the tempo of adoption for brand spanking unique applied sciences, and the cost of investment, should live greater than in the genuine base, much of which does not exchange a total lot in any respect.
So if they needed to regulate this facts to rob on the total base, there might live some distance fewer websites which are investing more cash, way more organizations which are sitting tight, and maybe fewer sites which are taking into account relocating off the IBM i platform. I deem the distribution of data is likely something dote 10 percent of retailers don't Have any concept what they're doing investment brilliant with IBM this year, 5 % are considering lamentable some or replete of their functions to a different platform, perhaps 10 percent are investing greater this yr, and the ultimate seventy five % are sitting tight. here's only a bet, of path. as far as they can inform, the cost of attrition – how many sites they in fact lose each and every 12 months – only a tad over 1 %. So the cost of movement of applications off the platform, or incidences of unplugging IBM i databases and purposes, might too no longer live anywhere near as lofty in the ordinary base as the facts above suggests. what's alarming, most likely, is that the cost of relocating some or replete purposes off the platform is balanced in opposition t folks that stutter they are going to enhance investments. in replete probability these are hopeful survey takers, and those that suppose it's effortless to stream locate it is not and those that deem they are going to find the cash to invest will now not.
What they achieve know is that if the rate of software attrition turned into anywhere nigh as lofty as these surveys indicate, then the IBM i company would not live becoming, however shrinking. And they know it isn't shrinking, so they believe there is a disconnect between planning and truth, each on the upside and the downside.
if you drill down into the information for the 2019 IBM i marketplace Survey, there were 13 p.c of outlets that said they would live relocating some functions to a unique platform, and a different 9 % that talked about they were going to circulate replete of their purposes off IBM i. (This number is consistent with the recent ALL400s survey accomplished via John Rockwell.)
Anyway, decent grandiose fortune with that.
Porting applications from one platform to yet another, of buying a brand unique suite on that unique platform, is an highly intricate assignment. It is not dote attempting to exchange a jade while using down the highway, as is a common metaphor, but fairly dote making an attempt to rob the jade off one vehicle lamentable down the toll road and installing it on a different car driving beside it in the adjoining lane devoid of crashing both car or smashing into any person else on the highway. Optimism abounds, however when push involves shove, very few organizations are trying this kind of maneuver, and once they do, it's continually because there is a corporate mandate, greater instances than not led to through a merger or acquisition, that pits some other platform towards IBM i operating on vigour programs. companies that stutter they are making one of these stir off IBM i are sanguine for his or her personal own causes, possibly, but they aren't necessarily functional about how lengthy it might take, what disruption it'll charge, and what top of the line improvement, if any, might live realized.
in case you achieve the maths on the chart above, eight-tenths of the base has no concept how lengthy a movement will take, one other 1.7 p.c thinks it will rob greater than 5 years, and three percent stutter it is going to rob between two years and five years. best 3.4 % of the total base stutter they can achieve it in below two years. They suppose replete of these numbers are positive, and the businesses who might conveniently depart OS/four hundred and IBM i already did a very long time ago and people that are remain Have a more durable time, now not an easier time, moving. If this were now not authentic, the IBM i base would live a hell of a noteworthy deal smaller than the one hundred twenty,000 purchasers they deem are obtainable, in accordance with what huge Blue has informed us in the past. this is the change between worry or pressure or lifestyle and the fact of trying to circulate a commerce off one platform and onto an additional. These moves are at replete times an terrible lot more durable than they loom on the entrance conclusion, and they suspect lots of the advantages too don’t materialize for those who achieve bounce structures.
on the accustomed attrition rate counseled via this survey information – 9 p.c stream off the platform in somewhere between one year and more than 5 years, with most groups now not being capable of discern greater than 5 years into the longer term it truly is a elegant trick – the installed base would carve back dramatically. it's arduous to title how far because of the wide selection of timeframes in the survey. If it become 9 percent of the base within two years – appellation it 4.5 p.c of the bottom per yr – then inside a decade the yardstick base would carve back from one hundred twenty,000 IBM i sites worldwide down to about seventy two,000. this would stagy certainly. but at a 1 % attrition rate per yr, the base is silent at 107,500 entertaining customers (now not websites and not installed machines, each of that are larger) by way of 2029. They deem there is every desultory that the attrition fee will in fact late and drop beneath 1 percent as IBM demonstrates dedication to the vim systems platform and its IBM i working gadget. There are replete the time some unique valued clientele being delivered in unique markets, to live certain, however the bleed cost (even though it is small) continues to live doubtless an order of magnitude bigger than the feed fee.
after they achieve suppose about making the move, IBM i shops recognize precisely where they wish to go, and this reply has been regularly altering through the years: Linux as an alternative choice to IBM i is on the upward push and windows Server as an choice is on the wane. within the latest survey, fifty two p.c of the businesses that mentioned they had been relocating replete or a few of their functions to a different platform mentioned they had been opting for home windows Server, while 34 p.c selected Linux. This reflects the relative popularity of home windows Server and Linux in the datacenters of the world at giant, and might live tipped just a bit extra heavily in opposition t Linux compared to the relaxation of the realm. apparently, 10 p.c of those polled who talked about they had been lamentable had been AIX systems, and a different 4 % were going upscale to paraphernalia z mainframes – as unlikely as this may additionally seem. platforms are inclined to roll downhill; they achieve not always challenge gravity dote that.
The thing about such surveys is that they exhibit intent, no longer motion. They often intend to achieve a lot more than they basically can accomplish, and lamentable systems after spending decades of build up capabilities isn't usually a very sage movement unless the platform is in actual main issue – dote the Itanium systems from Hewlett Packard commercial enterprise operating OpenVMS or HP-UX or the HP 3000s operating MPE or the Sparc programs from Oracle operating Solaris. These had been as soon as wonderful platforms with stout installed bases and big salary streams, but now, IBM is the last of those Unix and proprietary systems with its power techniques line. And it is through far the greatest and for inevitable the only 1 showing any boom.related studies
The IBM i base Did certainly circulation On Up
The IBM i base Is ready to stream On Up
investment And Integration indicators For IBM i
safety silent Dominates IBM i discussion, HelpSystems’ 2018 Survey exhibits
The IBM i base not As Jumpy as it Has Been
The Feeds And Speeds Of The IBM i Base
IBM i Priorities For 2017: Pivot To defense
IBM i developments, concerns, And Observations
IBM i Survey receives improved As Numbers develop
the station achieve these IBM i Machines Work?
discovering IBM i: A online game Of 40 Questions
it's time to expose Us What you are as much as
IBM i marketplace Survey: The value Of Being Earnest
What’s Up within the IBM i marketplace?
IBM i marketplace Survey Fills in the Blanks
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Delivering 4X performance vs GPUs, 90X vs CPUs, AND unprecedented adaptability across workloads
SAN JOSE, Calif., Oct. 2, 2018 /PRNewswire/ -- Xilinx Developer Forum (XDF) – Xilinx, Inc. (XLNX) the leader in adaptive and brilliant computing, today launched Alveo, a portfolio of powerful accelerator cards designed to dramatically extend performance in industry-standard servers across cloud and on-premise data centers. With Alveo, customers can await breakthrough performance improvement at low latency when running key data seat applications dote real-time machine learning inference as well as video processing, genomics, and data analytics, among others. The Alveo™ U200 and Alveo U250 are powered by the Xilinx® UltraScale+™ FPGA and are available now for production orders. And dote replete Xilinx technology, customers can reconfigure the hardware, enabling them to optimize for shifting workloads, unique standards and updated algorithms without incurring replacement costs.
Xilinx today launched Alveo, the world’s fastest data seat and artificial intelligence (AI) accelerator cards.More
Alveo accelerator cards deliver significant performance advantages over a broad set of applications. For machine learning, the Alveo U250 increases real-time inference throughput by 20X versus high-end CPUs, and more than 4X for sub-two-millisecond low-latency applications versus fixed-function accelerators like high-end GPUs*. Moreover, Alveo accelerator cards reduce latency by 3X versus GPUs, providing a significant handicap when running real-time inference applications.** And some applications dote database search can live radically accelerated to deliver more than 90X, versus CPUs.***
Alveo is supported by an ecosystem of partners and OEMs who Have developed and qualified key applications in AI/ML, video transcoding, data analytics, financial risk modeling, security, and genomics. Fourteen ecosystem partners Have developed applications for immediate deployment. They are Algo-Logic Systems Inc, Bigstream, BlackLynx Inc., CTAccel, Falcon Computing, Maxeler Technologies, Mipsology, NGCodec, Skreens, SumUp Analytics, Titan IC, Vitesse Data, VYUsync and Xelera Technologies. Additionally, top OEMs are collaborating with Xilinx to qualify multiple server SKUs with Alveo accelerator cards including Dell EMC, Fujitsu Limited and IBM with more to come.
"The launch of Alveo accelerator cards further advances Xilinx's transformation into a platform company, enabling a growing ecosystem of application partners that can now innovate faster than ever before," said Manish Muthal, vice president, data center, Xilinx. "We are seeing stout customer interest in Alveo accelerators and are delighted to colleague with their application ecosystem to deliver production-deployable solutions based on Alveo to their customers."
"FPGA-based acceleration solutions in modern data centers are gaining popularity as accelerators that can live programmed and reprogrammed easily as users discern fit," said Ravi Pendekanti, senior vice president, product management and marketing, Dell EMC Servers & Infrastructure Systems. "Our collaboration with Xilinx to create best-in-class acceleration solutions will profit customers in a sweep of applications from video content streaming to risk management and financial services."
"Fujitsu congratulates Xilinx on the announcement of its unique board flush products and solutions. With 5G employ cases for applications such as autonomous driving, telemedicine, and virtual reality, the sweep of vRAN applications based on the COTS servers is expected to expand considerably in the future," said Mr. Masaki Taniguchi, vice president, deputy head of Network Products, Fujitsu Limited. "Fujitsu Limited and Fujitsu Laboratories Ltd. Have been collaborating with Xilinx to jointly validate 3X performance on critical software functions in the 4G vRAN system. Fujitsu looks forward to creating powerful solutions by combining its x86 servers and Xilinx adaptable acceleration boards."
"The launch of Xilinx's yardstick acceleration board products is an exciting addition to a rapidly emerging technology arena focused on fueling performance-hungry applications," said Keith McAuliffe, Vice President and Chief Technologist, Servers Global commerce Unit, HPE. "We spy forward to collaborating with Xilinx to bring their technology to market and enable their customers to create breakthrough commerce value."
"With the IBM Power Systems AC922 server, IBM has already demonstrated that they Have the best platform for enterprise AI training," said Steve Sibley, vice president of IBM Cognitive Systems. "IBM sees inference as a key component of a complete, end-to-end AI platform, and POWER9's leadership I/O bandwidth for data movement makes it an pattern pairing with Xilinx's unique Alveo U200 accelerator card to bring inference to the enterprise."
Xilinx® Alveo™ U200 and U250 accelerator cards are available today starting at $8,995 (USD) and can live purchased today. Alternatively, you can try it out first in the Nimbix cloud.
More details on Alveo and the replete spec sheets are available on their website. The latest list of Alveo application developers is available on the application directory. For more information on Xilinx and its breakthrough technologies, delight visit www.xilinx.com. ensue us on Twitter, LinkedIn, and Facebook.
Xilinx develops highly elastic and adaptive processing platforms that enable rapid innovation across a variety of technologies – from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP, designed to deliver the most dynamic processor technology in the industry and enable the adaptable, brilliant and connected world of the future. For more information, visit www.xilinx.com.
*20x running GoogLeNet V1, Batch=1 | Alveo U250 vs Intel Xeon Platinum Skylake CPU (c5.18xlarge instance; 4x running GoogLeNet V1, Batch=1 | Alveo U250 vs Nvidia V100 GPU
**3x running CNN+BLSTM speech-to-text latency | Alveo U250 or U200 + Intel Xeon CPU E5-2686 v4 vs Nvidia P4 + Xeon CPU E5-2690 v4
***90x running RYFT Elasticsearch | Alveo vs EC2 C4.8xlarge instance
© Copyright 2018 Xilinx, Inc. Xilinx, the Xilinx logo, Alveo, Versal and other designated brands included herein are trademarks of Xilinx in the United States and other countries. replete other trademarks are the property of their respective owners.
PR Contact:XilinxTara Simsmedia@xilinx.com
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Interest in the Blockchain technology is ever growing and so is the technology itself. At Wharton and UPenn, they Have had industry led replete house sessions on blockchain and its application and a lot of students Have reached out to learn more about this space. In fact, with everyday lamentable developments at protocol, platform, and application level, it’s arduous to back up even for people actively involved in this space.
I Have compiled below a live list of resources (Podcast/YouTube/blogs etc.) to give an overview of the technology as well as promote continuous self learning. The list too includes information on key companies and people in this space in case you would dote to ensue them on Twitter/Medium. delight achieve share feedback and profit improve this list.
Finally, for beginners, re-sharing a link to my previous post explaining “Bitcoin and Blockchain through board games”. I am unique to twitter(@vivchauh) but arrangement to employ it to continue to learn and share about this space.
The Blockchain technology is silent in its nascent stage and 2018 is going to live an exciting year.
HODL your breath!!
1) How Bitcoin works: Basics of the blockchain technology as used in Bitcoin. noteworthy station to start.
2) Cryptography behind blockchain: An overview of public key cryptography and RSA encryption algorithm which secures the exchange of value on a blockchain
3) Hashing used in blockchain: noteworthy overview of Secure Hashing Algorithm (SHA) used in blockchain to construct the database
4) Game theory and Network attacks: One of the most primary pillars of public blockchain networks is game theory. Game theory promotes anonymized and distributed participants to cooperate. The first 30% of the video too discusses Miners, who are one of the most primary players of public blockchain.
5) What’s a smart contract: Neither Contracts nor Smart, but Smart contracts truly unleash the power of blockchain technology.
6) What is Proof of Work? Proof of stake?
7) Public Vs Permissioned Vs consortium Blockchain: An overview of 3 common implementations of technology.
8) Common misconceptions about blockchain: Worth glancing through the listed common misconceptions.
9) achieve you even necessity blockchain? Blockchain is not suitable for replete applications. In-fact blockchain is useful for only inevitable commerce processes. delight discern a flowchart below from the article to check.
10) Other lamentable reads:
10.1) Glimpse of consulting/Finance industries view on the technology:
10.2) Academic coverage of the technology
10.3) Legal coverage
11) employ cases of Blockchain: There are many employ cases of the technology and companies are already well beyond the proof of concept stage. Sharing some lamentable article to win started (do checkout the “interesting read” section above)
12) Keys companies and disruptive start-ups
12.1) Permissioned, Semi-permissioned and consortium blockchains:
i. IBM and Hyperledger Fabric: One of the market leaders on permissioned blockchains, IBM’s Hyperledger Fabric is an open source blockchain implementation for enterprise and one of the Hyperledger projects hosted by the Linux Foundation. From supply chain to financial services, IBM is actively working with market leaders across industries on blockchain real world employ cases and Have already race successful proof of concepts. Along with infrastructure capacities dote Cloud, Watson etc it has been able to capture intelligence share of a lot of enterprise clients. Some links below.
There are other Hyperledger frameworks such as Hyperledger Sawtooth, Hyperledger Burrow etc. You can find more information here. Also, here is a link to an lamentable podcast on Hyperledger.
ii. Microsoft: Microsoft has been platform agnostic and working across platforms dote Ethereum, Hyperledger, R3 etc. to facilitate commerce applications by leveraging the Azure infrastructure..
iii. R3 and Corda: R3 is a distributed database technology company and leads a consortium of financial institutions in R&D of distributed ledger technology (DLT) employ case for financial services. Their open source DLT platform is called Corda and is customization of blockchain fundamentals to suit financial services implementations.
iv. Ripple and XRP: Ripple is an RTGS system, currency exchange, and remittance network. It is technically a public blockchain but is privately controlled through centralized ownership of the underlying currency. Their underlying technology, Ripple Protocol, is based on shared public ledger and enables movement of value directly between financial institutions across different networks, geographic borders or currencies. XRP, the native cryptocurrency in the Ripple network, facilitates the stream of value across the network. XRP is too the 3rd largest Cryptocurrency by market cap.
12.2) Public blockchain platforms/companies:
i. Ethereum and Consensys: Ethereum is an open-source, public, blockchain-based distributed computing platform featuring smart shrink functionality. It has quickly established itself as the preferred platform for development of decentralized applications (DApps). With more than 50% share of unique project launches and a rapidly growing community of DApp developers, Ethereum has successfully grabbed intelligence share of the blockchain community. Ether, the native cryptocurrency in the Ethereum platform, is the second largest cryptocurrency by market cap.
Here are some astounding podcasts on Ethereum by its co-founder Vitalik Buterin.
Consensys, currently the epicentre of blockchain activities, started as a blockchain venture product studio that builds decentralized application on the Ethereum platform. Over the last year, it has spread across the blockchain ecosystem with JV’s, Partnerships, Consensys Capital, Consensys Labs etc.
ii. NEO: Popularly referred to as the Ethereum of China, NEO has lately grabbed a lot of developer attention and differentiated itself based on accelerate and its modified Proof of stake consensus protocol. It too has the 3rd largest follower base on Reddit and is among the top 10 Cryptocurrencies.
iii. Other platforms: Cardano (dubbed as Ethereum of Japan), Stellar (similar to Ripple), dfinity, and EOS are too developing quickly.
Lately there has been a lot of excitement around hashgraph and algorand. This video is a noteworthy explanation of hashgraph.
13) Favorite Podcasts/YouTube channels/Blogs: There are some astounding podcasts covering blockchain and cryptocurrencies. They are a noteworthy way to live in touch with the rapid developments in this space and a too a source of in-depth discussions about blockchain projects, unique developments, ideas, and stories. I Have listed some of my favorite below.
14) Crypto Currencies/Token/Digital Assets
14.1) What is a Cryptocurrency: Crypto currencies are one of the application of blockchain. These are token/coins native to a blockchain and might live designed to serve many different purpose such as store of value (Bitcoin), or medium of exchange of services (Augur) etc. Here is a grandiose short video on CryptoCurrencies and here is a longer yet funnier rob by John Oliver.
There are more than 2600 cryptocurrencies out there, most of them are likely crap. if you want to hunt of the next bitcoin, you can scan the universe at upfolio for summaries, videos, tech, financials, team and much more!
14.2) How achieve I value them: This is an open questions. I Have seem people employ a sweep of valuation methods and some of the best primers are here, here and here. I am too a huge fan of Multicoin capital blog (link above) which covers the topic of token valuation in depth.
14.3) How to invest: There are a lot of exchanges which proffer access to cyptocurrencies. Coinbase, Gemini, Kraken are most well-liked for Fiat to crypto exchange and Binance, Poloniex, and Bitmex are well-liked for crypto to crypto exchange. There has been a lot of labor on decentralized exchange lately and you can check out Airswap and bisq.
14.4) how to store crypto: There are many wallet options to store your assets. You can learn more about stinging wallets and frigid wallets from the hyperlinks. I personally employ the frigid wallet ledger to live safe. Exchanges win hacked replete the time. you can learn more about dissimilarity between stinging and frigid wallet here, and more about wallets in universal here.
Beware of Cryptocurrency scammers. they are dime a dozen on twitter and design fake profiles to dupe retail investors with rosy promises.
15) Keys people/feeds I follow:
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