What is an Atomic Swap?

So, if someone needs to exchange Bitcoin for Litecoin, simply find someone who needs your Bitcoin and is willing to deliver Litecoin to change.


Atomic swap is a technology that facilitates the exchange of two cryptocurrencies different through the use of a contract smartphone, which allows users to make exchanges from your wallet and personal in a transaction a peer-to-peer. The first described a protocol the Atomic Swap was probably Land Nolan in 2013. But already in 2012, Daniel Larimer had submitted its P2PTradeX, a protocol exchange with no confidence that have been considered by many as the prototype of the Atomic Swap. Since then, there are many developers who have experimented with these protocols that have played an important role in communities such as Bitcoin, Litecoin, Decred and Komodo. As is known, the first Atomic Swap were in 2014, but it was in 2017 when it was publicly acknowledged with the first exchanges with success among cryptocurrencies. We trade BTC/LTC and LTC/DCR.

How it works the protocol Atomic Swap

As we have already said, is a protocol designed to facilitate the exchange of cryptocurrencies different. So, if someone needs to exchange Bitcoin for Litecoin, simply find someone who needs your Bitcoin and is willing to deliver Litecoin to change. This exchange is possible thanks to a contract smart contrat), designed for a transaction peer-to-peer.

Atomic Swap in practice

We think Andrew you need to swap your LTC for BTC, and Ruben has BTC. Alice is willing to receive the LTC of Andrew, and then Andrew puts his LTC in one direction Smart Contrat, which pretend as a safety deposit box. At the time that Andrés generates your safety deposit box you must create an access key; this key should be share Ruben by using a cryptographic hash. But Ruben can’t still access to the cryptocurrencies because it just has the hash, but not the key. Then Ruben uses the hash received from Andres to generate another Smart Contrat to deposit their BTC. Now for Andrew to withdraw the BTC you need to use the same key that you used Reuben, and in doing so reveals to him the key to Reuben. So, just Andrew to claim the BTC, Ruben you can check out the LTC by completing the exchange. This distribution of keys is known as the Hashlock.

How to occur the Atomic Swap

These transactions carry the name atomic, because it will only be completed if the parties perform what corresponds to him to each one. On the contrary, if one of the parties gives up and does not comply, the contract is dissolved, and the funds are returned automatically, providing strong security to the parties. These contracts can be done in two ways, within the blockhain and out of her. On Chain: these Atomic Swap occur within networks of any criptomoneda, that is to say, within the blockchain, whether it be Bitcoin, Litecoin or another. Off Chain: for these Atomic Swap is made must take place on a second layer, and is usually done through exchange, bi-directional, very similar to those that are made through connections of the Lightning network. Usually these exchanges are performed through contracts smart multifirmas and contracts hash time-limited (HTLC)

Wallet for Atomic Swap review

Atomic Wallet is one of the wallets decentralized most popular, designed specifically for the use of this protocol to the blockchain. Available for Windows, Mac OS and Linux. Has available the protocol to be used with more than 300 cryptocurrencies, for fast and secure transfers thanks to the design the own company, Atomic Distributed Orderbook. Between the cryptocurrencies available for Atomic swaps include: Bitcoin, Ethereum, Litecoin, Ripple, Dash, Zcash, Monero, and an extensive list of tokens ERC20. For the security of the storage of funds, the portfolio Now provides the customer with all of their private keys, so that is the only one able to control them. The following two tabs change content below. Creative editor and trader of cryptocurrencies, currencies, fiat, and commodities.

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AIMachine Learning Market Trends 2020 | GOOGLE, IBM, BAIDU, SOUNDHOUND

AIMachine Learning Market with Insights and Key Business Factors. The latest market report by a Reports monitors with the title [Global AIMachine …

AIMachine Learning Market with Insights and Key Business Factors

The latest market report by a Reports monitors with the title [Global AIMachine Learning Market size and CAGR between 2020 and 2025.] The new report on the worldwide AIMachine Learning market is committed to fulfilling the necessities of the clients by giving them thorough insights into the market. The various providers involved in the value chain of the product include manufacturers, suppliers, distributors, intermediaries, and customers.Exclusive information offered in this report is collected by analysis and trade consultants. The reports provide Insightful information to the clients enhancing their basic leadership capacity identified.

The Major Manufacturers Covered in this Report:


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Scope of the Report

The research report provides key information on the supply chain of the industry, the market’s currency chain, pools of major companies, and market segmentation, geographical market, and technology-oriented perspectives.The authors of the report have also provided qualitative and quantitative analyses of several microeconomic and macroeconomic factors impacting the global AIMachine Learning market. In addition, the research study helps to understand the changes in the industry supply chain, manufacturing process and cost, sales scenarios, and dynamics of the global AIMachine Learning market.

By the product type, the market is primarily split into



Apache MXNet

By the end users/application, this report covers the following segments


Santific Research

Big Date


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D. Extensive analysis of the market is conducted by following key product positioning and monitoring of the top manufacturers within the market framework.

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Further, the AIMachine Learning industry research report determines the Marketing Analysis, Regional Market Analysis, International Trade Analysis. The market Traders or Distributors with Contact Information by Region and Supply Chain Analysis. That is followed by various business strategies, the report contains essential outcome help could boost the interest level of the individuals in the market.

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Global AI/Machine Learning Market 2020 GOOGLE, IBM, BAIDU, SOUNDHOUND, ZEBRA …

The global AI/Machine Learning market is anticipated to observe a swift growth in the forecast period 2020 – 2025. Moreover, as per the report …

The global AI/Machine Learning market is anticipated to observe a swift growth in the forecast period 2020 – 2025. Moreover, as per the report circulated by Extent Research, a market research report and business consulting firm, the AI/Machine Learning market is set to grow with a CAGR of XX% over the forecast period and presently (2018) the market was valued at USD XX Million. The report has identified the major types of the AI/Machine Learning along with its key end-users and industry verticals. Further, our researchers have segmented the global AI/Machine Learning market into key regions of the market i.e. North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The report discusses various factors which are impacting the demand for AI/Machine Learning. Factors which are boosting the demand for AI/Machine Learning i.e. driving factors are identified and discussed in the scope of the report along with their impacts in the forecast period. Further, other factors which are hampering the demand for AI/Machine Learning are identified and analyzed into the report.

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All the above mentioned leading players in the AI/Machine Learning market are profiled on the basis of revenue, growth rate, gross margin, product portfolio, recent initiatives, and business strategies.

By Type the AI/Machine Learning market is segmented into: TensorFlow, Caffe2, Apache MXNet….

By Application the AI/Machine Learning market is segmented into: Automotive, Santific Research, Big Date, Other….

On the basis of regions and countries the global AI/Machine Learning market is analyzed as follows:

• North America

• Europe

• Asia Pacific

• Latin America

• Middle East and Africa

Above mentioned regions are further analyzed for the key contributing countries in it. Countries such as the U.S., Canada, Mexico, UK, Germany, France, Spain, Italy, Russia, India, China, Japan, South Korea, Southeast Asia, Australia, Brazil, Argentina, Saudi Arabia, UAE, and South Arica, among others.

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The global AI/Machine Learning market size (Value and Volume), Share (Value and Volume), competitive landscape, import & export, pricing trend, demand-supply analysis, value chain analysis, market risks and opportunity on a regional and global level. Imperative regions worldwide are studied the restrictions, difficulties, advancements, drivers, and patterns impacting the AI/Machine Learning market expansion over these vital areas.

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Chapters 5 and 6: These chapters include raw material sources, cost structure analysis, and comprehensive analysis of manufacturing cost. Distributor and vendor analysis is included in these chapters.

Chapters 7 and 8: Provides clear insight of the AI/Machine Learning market dynamics. Driving factors, restraining, factors, opportunity analysis, and risks analysis.

Chapters 9 and 10: Define product specification and all highlights of the AI/Machine Learning market

Chapter 11: Research methodology and sources for the AI/Machine Learning market study

Chapter 12: AI/Machine Learning market merger and acquisition, competition on the regional and global level and future prediction

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Retail and consumer goods industry to generate growth in Market by 2025 with a CAGR of 12.8%

… Qlik Technologies; TIBCO Software; ADVIZOR Solutions Pvt. Ltd; SAS Institute; Oracle Corporation; MicroStrategy; IBM Corporation; Alteryx, Inc.

The “Visual Analytics Market to 2025 by Deployment Model (On-Premises and Cloud); Business Function (Sales and Marketing, Operations, Finance, Supply Chain, Information Technology, CRM, and Human Resources); Vertical (Retail & Consumer Goods, IT & Telecom, BFSI, Manufacturing, Energy & Utilities, Healthcare, and Government) – Global Analysis and Forecast” The scope of study involves understanding on the factors responsible for this growth of Visual Analytics market along with the estimates and forecasts of the revenue and market share analysis and also spots the significant visual analytics players in the market and their key developments.

Visual Analytics Market to 2025 – Global Analysis and Forecast by Deployment Model, Business Function, and Vertical, visual analytics market is expected to grow US$ 5, 7186 Mn by 2025 from US$ 2, 2150 Mn in 2017. Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. Visual Analytics methods allow decision makers to combine their human flexibility, creativity, and background knowledge with the enormous storage and processing capacities of today’s computers to gain insight into complex problems. Using advanced visual interfaces, humans may directly interact with the data analysis capabilities of today’s computer, allowing them to make well-informed decisions in complex situations.

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Company Profiles

  • Tableau Software
  • SAP SE
  • Qlik Technologies
  • TIBCO Software
  • ADVIZOR Solutions Pvt. Ltd
  • SAS Institute
  • Oracle Corporation
  • MicroStrategy
  • IBM Corporation
  • Alteryx, Inc.

Some of the remarkable partnership and collaboration in this industry are partnership of Tableau Software with Swinburne University for launching a course related to data visualization and business analytics. Through this partnership the university enhance the digital literacy of students and thus, successfully reducing the analytics skills gap by promoting analytics technology. Furthermore, TIBCO announced its partnership with TXODDS, to have provision of TIBCO Spotfire data visualization software for simple and fast analysis of gambling data.

Visual analytics to witness robust growth in its Asia Pacific Market

APAC region presents a huge opportunity for the visual analytics market. Several companies in the region are already having a vision and strategy for the implementation of visual analytics solutions in the next coming years; whereas, numerous enterprises are still under planning phase. The region is considered as the growth engine for the visual analytics market with countries like China, India, Japan, Singapore, growing remarkably technology wise.

The region has become a global manufacturing hub with the presence of diverse manufacturing industries. Among China’s evolution into a high-skilled manufacturing hub, other developing countries such as China, India, South Korea, Taiwan, and Vietnam among others are attracting several businesses that are in a quest to relocate their low to medium skilled manufacturing facilities to neighbouring countries, offering lower labour cost. The Asia-Pacific region is expected to drive the growth of visual analytics market in the coming years.

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  • The key findings and recommendations highlight crucial progressive industry trends in visual analytics market, thereby allowing players across the value chain to develop effective long term strategies.
  • Highlights key business priorities in order to assist companies to realign their business strategies
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About The Insight Partners:

The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Device, Technology, Media and Telecommunications, Chemicals and Materials.

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As an integral part of the DataRobot platform, Paxata enables both novice and expert users to quickly and interactively explore, profile, clean, enrich …

Acceleration Through AI Assistance

With Paxata, the data preparation process is dramatically accelerated through the highly intuitive and visual point-and-click interface. Furthermore, embedded algorithms provide users with AI assistance throughout data preparation activities to automatically profile, cluster, and clean data, greatly accelerating the time it takes to prepare and shape the data.

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