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What are the applications of blockchain in big data?
Blockchain and Big Data is one of the top emerging technology tips to revolutionize several industries, radically changing the way businesses and organizations are run. One might assume that these technologies are mutually exclusive - each forging a unique path and implemented independently of each other.
But it would be off the mark.
Blockchain - such as data science - is gradually changing the way some of the industry operates. And while the science of data focuses on the utilization of data for proper administration, Ensuring blockchain believe the data to maintain a ledger of decentralization.
The question is, Is there a place these two concepts intercept?
What will be achieved when the two simultaneously applied this technology?
Simply put, how can blockchain interrupt the data science?
To answer this question, it is helpful to gain a better understanding of Blockchain and Data Sciences apart from each other.
If big is the quantity, Maria Weinberger of Janexter said blockchain is the quality. It follows the understanding that blockchain focused on data validation when science data or big data involves making predictions of large amounts of data.
Blockchain has brought a new way to manage and operate data - no longer in perspective where all data centers should be brought together but in a decentralized way in which the data can be analyzed directly on the edge of the individual devices. Blockchain integrated with other advanced technologies, such as cloud solutions, artificial intelligence (AI) and the Internet of Things (IOT).
Furthermore, the data generated through the technology validated blockchain come complete structured and coupled with the fact that change as we mentioned earlier. Another important area in which data generated blockchain be the impetus for large data is data integrity since blockchain explores the origin of data despite its chain related.
There are at least five specific ways blockchain the data can help scientists data in general.
• Ensuring Trust (Data Integrity)
Data recorded on blockchain reliable because they must have gone through a verification process that ensures quality. It also provides for transparency, because of the activities and transactions that occur on the network can be traced blockchain.
Last year, Lenovo showed off case blockchain use of this technology to detect false documents and forms. PC giant blockchain use technology to validate the physical documents are encoded with a digital signature. The digital signature is processed by the computer and the authenticity of the document is verified through the records blockchain.
Often, data integrity is confirmed when the details of the origin and the interaction of the data blocks stored in blockchain and automatically verified (or validated) before it can be acted upon.
• Prevent Malicious Activity
Because blockchain using consensus algorithm to authenticate the transaction, it is impossible for the unit to pose a threat to the data network. A node (or units) began acting normally can be easily identified and removed from the network.
Because the network is so distributed, it makes it almost impossible for a single party to produce enough computing power to change the validation criteria and allows the unwanted data in the system. To change the rules blockchain, the majority of nodes must be pooled together to create a consensus. This would not be possible for bad actors to achieve.
• Make a prediction (predictive analysis)
Blockchain data, such as data type, can be analyzed to reveal valuable insights into behavior, trends and thus can be used to predict future outcomes. What is more, blockchain provide structured data collected from an individual or an individual device.
In predictive analytics, data base of scientists on large data sets to determine with good accuracy the results of social activities such as customer preferences, customer lifetime value, dynamic pricing, and the churn rate associated with the business. It is, however, not limited to business insights for almost every event can be predicted with the correct data analysis whether it is social or markers investment sentiment.
And because of the distributed nature blockchain and massive computing power available through the data that scientists even smaller organizations can perform the tasks of comprehensive predictive analysis. This data scientists can use the computing power of several thousand computers connected to the network blockchain as cloud-based services for analyzing social outcomes on a scale that would not be otherwise possible.
• Real-Time Data Analysis
As has been exhibited in the financial and payment systems, brand blockchain for real-time cross-border transactions. Some banks and innovator fintech now exploring blockchain because it affords fast - in fact, the real-time - the completion of a large number regardless of geographical barriers.
In the same way, organizations that require real-time analysis of data on a large scale can call blockchain-enabled system to achieve. With blockchain, banks and other organizations can observe data changes in real-time allowing for rapid decision - whether to block suspicious transactions or track any abnormal activity.
• Managing the Data Sharing
In this case, the data obtained from the study data can be stored in the network blockchain. In this way, the project team did not repeat the data analysis was done by another team or reuse the data that has been used wrongfully. Also, a platform can help scientists blockchain data monetize their work, possibly by causing trade analysis results are stored on the platform.
Conclusion:
Blockchain, as already noted, in a nascent stage although it may not appear so because of the hype of technology has got in a short time. One would expect that as a mature technology, and there is more innovation around it, more concrete use cases will be identified and explored - the science of data into one area that will benefit from this.
That being said, some challenges have been raised about its impact in the sciences, especially the data in the big data that requires a very large amount of data to be handled. One of the concerns is that the application blockchain in this case would be very costly to pursue. This is because the storage of data on a blockchain expensive compared to the traditional way. Blocks are dealing with a relatively small amount of data compared to the large volume of data collected per second for large data analysis tasks and other data.
How to evolve to address this issue and continue to disrupt space science data will be because it is very interesting, as we have seen blockchain, the technology has great potential to change how we manage and use data.
Fusion Informatics is a trusted custom software development company with a primary focus on delivering blockchain app development services. With vast expertise in the development of mobile applications, web-oriented software, business software solutions that harness the power of connected devices to advance lifestyles and empower enterprises with blockchain products.
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How Blockchain Technology is Changing The Banking Sector
The banking industry has always been considered a cornerstone of economic stability but impaired at an increasing pace. A major change in the financial sector is being driven by technology, in which both client expectations expand service capabilities and reshaping. traditional banks still see themselves as a bastion for client assets and can open bank equate with less security. However new banks challenger claims technology used most up-to-date gains; for them, the security of customer data has been calculated from the first day, not added later.
Blockchain technology provides a way for the parties which are not believed to come to an agreement about the state of the database, without using an intermediary. By providing books that manage nothing, blockchain can provide certain financial services - such as payment, or securitization - without the use of intermediaries, such as banks.
Furthermore, blockchain allows for the use of tools such as "smart contract," which potentially automating manual processes, from compliance and claims processing, to distribute the contents of a will.
For a use case that does not need a high degree of decentralization - but could benefit from better coordination - cousin blockchain this, "distributed technology ledger (DLT)," can help corporations build governance and standards around data sharing and better collaboration.
With the global banking industry is currently $ 134T, blockchain and DLT technology could disintermediate key services that the bank provides, including:
Payment: By building a decentralized books for payment (eg Bitcoin), blockchain technology could facilitate faster payments at a lower cost than banks.
Clearance and Settlement Systems: Distributed ledger can reduce operational costs and bring us closer to the real-time transactions between financial institutions.
Fundraising: Coin Initial Offer (ICOS) is experimenting with a new model of financing that unbundles access to capital from traditional capital-raising services and companies.
Effect: With tokenizing traditional securities such as stocks, bonds, and alternative assets - and put them in public blockchains - blockchain technology could make the capital market more efficient interoperable.
Loans and Credits: By removing the need for gatekeepers in loans and credit industry, blockchain technology can make it safer to borrow money and give you a lower interest rate.
Trade Finance: By replacing the complicated bill, paper-heavy process of lading in the trade finance industry, blockchain technology can create more transparency, security, and trust between the parties of global trade.
Read on for a deep dive into how technology can change blockchain traditional banking industry on its head while enabling new business models through technology.
Blockchain technology offers high-security, low-cost way to send a payment that cutting down on the need for third-party verification and processing times to knock traditional bank transfer
90% of members of the European Payments Council believe in blockchain technology will fundamentally change the industry in 2025.
Conclusion:
Blockchain technology can change the banking system and make it much more efficient by making transactions faster, safer, and cheaper.
Banks will be able to avoid fraudulent transactions and securing the system.
The transaction will not be completed only with the knowledge of one person, the entire organization will know about it.
Fusion Informatics is a trusted custom software development company with a primary focus on delivering blockchain app development services. With vast expertise in the development of mobile applications, web-oriented software, business software solutions that harness the power of connected devices to advance lifestyles and empower enterprises with blockchain products.
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The role of Artificial Intelligence in the IoT revolution
IOT is changing the business model to help companies move from simply making products and services to companies that give their customers the desired results. With the impact, the organization's business model, the combination of IoT-enabled devices and sensors with machine learning creates a collaborative and interconnected world that aligns itself around results and innovation. The combination of IoT and AI changed many industries and business relationships with their customers. Businesses can now collect and transform data into information that is usable and valuable to the IoT.
As organizations implement the principles of digital transformation for the business, the combination of IoT and AI can create disturbances in the industry. Does an organization using IoT and AI to engage customers, applying conversational agent for customers, customize the user experience, gain analysis, or productivity optimizing with insight and predictions, the use of IoT and AI creates a dynamic in which companies can obtain higher knowledge quality into every part of the data, of what customers actually see and touch what about employees, suppliers, and partners to interact with the different aspects of the ecosystem. Not only has the business processes modeled in the software in a way that approximates the real world, but the device IOT also provides the actual interface system to the real world. Every place where you can put a sensor or a device for measuring, interacting, or analyze something, you can put IoT devices connected to the cloud-enabled AI to add a significant amount of value.
According to Business Insider, there will be more than 64 billion IoT devices in 2025, up from approximately 9 billion in 2017. All of IoT's device generates a lot of data that needs to be collected and mined for actionable results. This is where artificial intelligence comes into the picture. Internet of Things used to collect and handle large amounts of data required by the Artificial Intelligence algorithms. In turn, this algorithm converts data into actionable useful results that can be implemented by the IoT.
Applications of Artificial Intelligence in Internet of Things
While both of these disciplines have individual value, their true potential can only be realized together. There are a lot of different applications in several industries that require Artificial Intelligence and the Internet of Things. Some of this is as follows:
1. Collaborative Robot
Ever wanted to help the robot? Well, that's what you'll get with Collaborative Robots or Cobots. Cobots is a very complex machine that is designed to help people in shared workspace environments ranging from the office to the industry. They can be a robotic arm designed to perform tasks or even complex robots designed to fulfill the tasks difficult.
2. Drones
Drone aircraft is without a human pilot (piloting is done by the software!). They are very useful because they can navigate unknown environments (even those outside the reach of the internet) and the area reaches dangerous to humans such as offshore operations, mining, war zone or burning buildings.
3. Smart City
When everything is getting smarter, why not the whole city? smart cities can be made with a sensor network attached to the physical infrastructure of the city. This sensor can be used to monitor the city's various civil factors such as energy efficiency, air pollution, water use, noise pollution, traffic conditions, etc.
4. Digital Twins
Digital Twins twins (obviously!) The object in which the real-world objects and the other is the digital replica. These objects can range from aircraft engines to wind turbines. Digital Twins mainly used to analyze the performance of an object without using traditional testing methods and reduce the cost required for testing.
5. Smart Retailing
It created a smart shopping! AI and IOT can be used by retailers to understand customer behavior (by studying the profiles of consumers online, in-store inventory, etc.).
Conclusion:
It is a new exciting time to live in (for both humans and machines!). With few advances in artificial intelligence, the communication speed of light, and analysis, IOT even more comfortable and high-performance device IOT take over almost every domain of technology. In addition, the declining hardware costs make it feasible to embed sensors and connectivity across virtually any device imaginable.
Taken together, Artificial Intelligence and the Internet of Things are ushering a new era in which "smart" is just the normal state and utopia into a robot in the future appears more and more achievable in the present.
Fusion Informatics leads the IoT development company Indianapolis, where our IoT development team helps build applications that allow your customers to experience a user-friendly experience in every aspect. Our application works smoothly without strong and innovative errors combined with smart Artificial Intelligence, which helps increase sales and productivity.
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Newspaper application
At Fusion Informatics we developed a Newspaper application that helps users to connect local newspaper agents, and weekly magazines to manage all subscription greetings and users can make online payments, invoices within the mobile application.
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Why is artificial intelligence needed in today's world?
Our generation is privileged to live in an era full of technological advances. The days are gone when everything was done manually, and now we live in this era where a lot of the work was taken over by machines, software, and other automated processes. In this case, the artificial intelligence has a special place in all of the progress made today. artificial intelligence or AI is none other than computer science and machine intelligence to develop as human beings. In this technology, the machine is capable of doing some simple to complex things that humans need to do regularly. AI system which is used daily in our lives, it is not wrong to say that our lives also be advanced using this technology.
Great help for humans
AI system is efficient enough to reduce the human efforts in various areas. In order to perform various activities in the industry, many of those who use artificial intelligence to create slave machines that perform various activities on a regular basis. Artificial intelligence applications help to get the job done more quickly and with accurate results. A world free from errors and efficiently is the main motive behind artificial intelligence. In recent years, many sectors have started using AI technology to reduce human effort, and also to get the results efficiently and faster. What important role did artificial intelligence play today?
Widely used in the banking and financial system
It is a known fact that banks have a lot of activities on a day to day needs to be done accurately. Most of the activities take a lot of time and effort of employees and sometimes there is also the possibility of human error in this activity so to speak. Some of the works that deal with banks and financial institutions to invest money in stocks, financial operations, managing various properties, etc. With the use of an AI system in this process, the institutions were able to achieve efficient results in quick turnaround time. Strategic implementation of artificial intelligence in the bank to help them to focus on each customer, and provide them a speedy resolution. Customers happy all the time, because they can get faster service for all banking and financial needs.
An important feature of medicine
Artificial intelligence has really changed the way medicine is considered just a few years ago. There are many areas in medicine where AI is used to achieve outstanding value. With the help of AI, medical science is able to create a virtual personal health care assistant. It is used for research and analytics purposes. There are also plenty of efficient health bots introduced in the medical field to provide constant support for the patient's health. Bot effective in answering the questions that often, and also schedule appointments in a row.
A perfect addition to the Heavy Industries
Artificial intelligence is used in the production units in most major manufacturing companies. AI systems are used to provide a special form for an object, move objects from one place to another, etc. This application is also used in the management of most companies to get their tasks done in a timely efficient manner. It is used to store all employee records key corporate data is stored and can be easily retrieved when making important decisions. Heavy industry developed in the AI system because they get their assignments done on time and have the potential to put accurate data in their systems.
Efficient use of air transport
Air transport is one of the most systematic transport systems, and it will not be wrong to say that air transport cannot survive without the use of artificial intelligence. There are many functions in machine and process management is controlled by AI. There are many features of booking tickets for takeoff and flight operations AI take care of. AI applications make air transportation that is efficient, fast, safe, and provide a comfortable ride for passengers.
Changing the face of gaming
These days, we can play the TV and computer games to a new level; all thanks to artificial intelligence applications. We all remember the time when the "Super Mario" is the only one considered as the best match. Now there are various bots that are introduced and this game will play with you and give you great entertainment. Virtual reality is also one example of artificial intelligence.
A great future ahead as well
Engineers designed the machine to study the brain and try to emulate human intelligence. Although it is one of the major challenges in engineering, still a lot has been accomplished from where we started the journey of artificial intelligence. There are many benefits of understanding and replicating brands in artificial intelligence. Apart from treating brain injury, disease, advances in communications technology, computer simulation, understanding the brain will help to design a machine that has a more powerful impact on the community. Even today we see a machine capable of performing voice recognition, provide a response to the human user, monitor and sense of human activity on a day to day basis. However, the future is more than what we were able to achieve today.
A dream to reinvent the world
Scientists ride behind AI when machine intelligence will surpass human intelligence. Scientists believe that once the AI system begins to work in full capacity, it will rediscover the world as we know it today. Think of a world where all the menial tasks such as landfills, construction, excavation and so on will be taken care of by the application of AI. It will be a time when a hierarchical order determines the limits of the human. It will be a world in which no one will be despised and every human being will be considered the same. In this way, people can then focus their strengths on a higher level of work to achieve more and always take technology to new heights.
A little risk
Although there are many benefits that can be seen, with every great innovation, there are also a number of risks. One of the biggest risks of this technology can be used for demolition or other silly activities. If this happens, it is the technology we create that can kill us in the near future. In order to take care of this important aspect, there are many organizations and scientists who encourage regulatory scrutiny on AI applications and systems. Supervision should be at the national and international levels so that all nations can relax and experience growth in their respective countries. However, there are a variety of laws, regulatory guidelines, and procedures for monitoring the use of artificial intelligence in today's time, and so that human safety is always our primary concern here.
Artificial Intelligence plays a very important role in not only business development but also human beings and processes to the next level. With the rapid growth in technology and development, we can expect many more exciting features and the use of AI in the future.
Conclusion:
Robotics involves manipulating objects in the real world. At the same time, the artificial intelligence program can use the data from the real world is obtained through robotics to improve their performance. AI/machine learning have a symbiotic relationship. One obvious application of AI for robotics in computer vision.
AI is a computer program designed for tasks that normally require human intelligence (human ability to learn), while the robot is a machine that completes complex tasks. AI can be used to control a robot, but they are very different.
Fusion Informatics is a leading Artificial Intelligence Development Company in Los Angeles, California & USA provides best AI solutions to the customers and provides applications services for Android, iOS(iPhone & iPad), & IoT app development. We are listed under top 10 mobile app development companies in the USA for giving a complete solution to clients from established companies to newborn start-ups.
Our Mobile Apps Development services help organizations stakeholders among the best ways to communicate and engage with customers and take full leverage of Smartphones or Tablets for increasing their business or brand through streamlining of internal and external communication. Apps are helpful to give your customers the ability to interact with your business
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The mobile app allows the user to stream, share and download for their lovers, friends, and relatives. Anghami becomes the number one music app in the MENA region, which holds 30 million songs and more than 65 million user downloads.
Fusion Informatics is one of the leading mobile app development companies in San Francisco USA for Android and iOS platforms. We hold the expert developers proficient in developing a mobile app for your business.
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Fusion Informatics is a top Artificial Intelligence Development company in Indianapolis and USA, provides best AI solutions to the customers. Artificial Intelligence is one of the most advance technology that have conquered the business scenario in the world.
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How Blockchain Technology will Reshape Mobile App Economy
So we are talking about blockchain technology, the next thing that comes to our mind is cryptocurrency. It is a technology that was created to serve as a general ledger to store all digital transactions. It should be mentioned here that the role of technology is about recognizing the usefulness bitcoin blockchain technology for application developers.
However, to define the utility for application development industry, there are several mobile applications based on the technology bitcoin or with similar functionality. Although, there is still a long way to go for many new industries are discovering its potential.
Let's look at other ways in which technology blockchain impact on the mobile application development industry:
1) Blockchain as Ledger Complex Digital Systems
It seems simple to understand the function of blockchain as a ledger. However, blockchain is a comprehensive digital book is supported by a network of computers to send and parse the data collaboratively. With minor changes in the information to the accounting records, the changes will be updated with another machine that holds a similar document on the network, and in this way, the values of which are customized.
mobile technology also needs to be kind of a systematic approach. As it stands, most of the system, not only the mobile network using client-side and server systems. While telephone and mobile application act as a client, the server distributes the data center on request. The mobile network currently consists of millions of user flooded channels that try to get the data wirelessly. This may cause some loss of information as well. However, this can increase the potential with more data flows and advanced storage technology came rolling through blockchain.
2) More Transparent and Secure Environment
With blockchain, transaction activity will be tracked in such a way that allows users to follow the information and reduce the possibility of creating false transactions or falsifying the data. With notes in a ledger blockchain, one can see everything that is under process. Categorization and storage of information is also tracked, verified and secured at the same time. With further entries, a blockchain that can expand to add more information. Blockchain stands as a strong verification and balancing system with a user who has full authority.
3) Safe guard Digital Information with Multiple User Access
With blockchain technology, encryption is also a very complex process and is not allowed to cheat the system without the decryption key. Although blockchain suitable for any system with access to multiple users, it need to verify the information adjusted.
It is certain that the incorporation of this blockchain and mobile technology will become more widespread with blockchain grow more mature and mobile development acquires advanced techniques.
As a mobile app development company developing custom iOS apps, blockchain technology can give you access to consumer protection to unprecedented levels and confidentiality in all project applications with the new industry standard for privacy and encryption.
Conclusion:
Blockchain technology can be quite complementary in the space of possibilities for the future of the world that includes centralized and decentralized models. As a new technology, blockchain is an idea that initially disrupts, and from time to time to promote the development of a larger ecosystem that includes the old and new innovations. Some examples of history are that the advent of radio actually causes an increase in record sales, and e-readers like the Kindle has increased book sales. Now, we have news from the New York Times, blogs, Twitter, and personal drone same feed. We consume media on the second major entertainment company and YouTube. Thus, over time, blockchain technology could exist within a larger ecosystem with both centralized and decentralized models.
Fusion Informatics is a trusted custom software development company with a primary focus on delivering blockchain app development services. With vast expertise in the development of mobile applications, web-oriented software, business software solutions that harness the power of connected devices to advance lifestyles and empower enterprises with blockchain products.
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What's the Difference Between Robotics and Artificial Intelligence
The robot always point of attraction. The speed with which they do the work of 100 humans makes our eyes wide open. The Asimov robot by Honda introduced the man of the 21st century to modern robotics. AI has recently seen a significant increase in demand as well as developments in varied fields of work. This has led to a surge in demand for the company's machine learning in India. In this blog, we will try to present the facts on artificial intelligence and robotics vs thus, seeing how come they are the same and what is different in meaning.
It is a common perception that AI and Robotics is the same or somewhat similar. In layman's language, AI is a temporary brain is the body's Robotics. Robots have existed without AI in the past. And will continue to do so. For without Robot, AI implementation is nothing but the interaction of the software. Artificially-intelligent robots are the term for the combination of these two technologies because it is still in the research work. Augmentation of both will do wonders. But until then one needs to remove the concept that both AI and Robotics serve different purposes. This is where the need for consultation in machine learning emerged.
Artificial Intelligence Vs Robotics
Defining Robotics and AI
Robotics is the branch of science that deals with the development of robots. Robot aims to complete the work done by humans in much lower with better efficiency. The robot can automatically or need some initial guidance from humans.
AI is a branch of computer science and assists in developing software that can perform tasks that need personal discretion, decision-making, and intelligence as these qualities may not otherwise be programmed into a computer. AI development service can help the machine learn and understand the environment to adapt according to the situation. AI can even solve different problems, cope with logical reasoning and also to learn the language.
Robots are programmed and interact with their surroundings using sensors. They may be automatic or semi-automatic depending on the area of their application.
AI is a science that depends on machine learning and algorithms. If described in words is limited, AI is working on its own decision making and reasoning.
Application
Robot objectives to simplify your lifestyle and improve productivity. A robot that can improvise methods of work would be more than welcome. But a clear definition of the robot does not mean anywhere on learning. Designing a robot having a lot of physical buildings, external designing, and coding (or AI), which aims to improve decision-making capacity.
But AI is all about humanizing technology experience. AI engine found use in a GPS tracker, a better navigation system, chatbot messages customer service, and others. There are some cases where AI strength robot program.
There is a separate type of robot is supported by AI, namely, Artificial-Intelligent Robot. Robot Control is through AI program that was developed in a close-knit neighborhood. AI development company with development companies Robotic perform this task. AI robot has a varied spectrum of applications. They find use in some departments of the same factory robots while Doing simple repetitive tasks with a set of programmed movements. It does not require any intelligence.
Artificial Intelligent Robots
There is a specific example of artificial-intelligent robots:
Cobot (Non-artificially-intelligent)
A Cobot can do the job by itself after programming. It does not require human intervention to shut down. Cobot is a collaborative robot and in this case, will perform the work assigned repetitive because it is a non-AI robot.
Cobot (Artificially-intelligent)
The Cobot mentioned above can be further expanded with the addition of AI. The addition of AI adds to the perception of the robot. He also added that the decision-making instinct requires algorithms decorated. For example, a heat receptor to prevent the robot from entering the furnace while operating as a robot.
Conclusion:
Robotics involves manipulating objects in the real world. At the same time, the artificial intelligence program can use the data from the real world is obtained through robotics to improve their performance. AI/machine learning have a symbiotic relationship. One obvious application of AI for robotics in computer vision.
AI is a computer program designed for tasks that normally require human intelligence (human ability to learn), while the robot is a machine that completes complex tasks. AI can be used to control a robot, but they are very different.
Fusion Informatics is a leading Artificial Intelligence Development Company in Los Angeles, California & USA provides best AI solutions to the customers and provides applications services for Android, iOS(iPhone & iPad), & IoT app development. We are listed under top 10 mobile app development companies in the USA for giving a complete solution to clients from established companies to newborn start-ups.
Our Mobile Apps Development services help organizations stakeholders among the best ways to communicate and engage with customers and take full leverage of Smartphones or Tablets for increasing their business or brand through streamlining of internal and external communication. Apps are helpful to give your customers the ability to interact with your business
For more details visit on:
Top AI Company in USA
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AI Company in New York
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List of Iot App Development Companies in North Carolina
mobile application development companies in California
Mobile Application Development Companies in Los Angeles
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How Robots and Artificial Intelligence are different?
The robot always points of attraction. The speed with which they do the work of 100 humans makes our eyes wide open. The Asimov robot by Honda introduced the man of the 21st century to modern robotics. AI has recently seen a significant increase in demand as well as developments in varied fields of work. This has led to a surge in demand for the company's machine learning in India. In this blog, we will try to present the facts on artificial intelligence and robotics vs thus, seeing how come they are the same and what is different in meaning.
It is a common perception that AI and Robotics is the same or somewhat similar. In layman's language, AI is a temporary brain is the body's Robotics. Robots have existed without AI in the past. And will continue to do so. For without Robot, AI implementation is nothing but the interaction of the software. Artificially-intelligent robots are the term for the combination of these two technologies because it is still in the research work. Augmentation of both will do wonders. But until then one needs to remove the concept that both AI and Robotics serve different purposes. This is where the need for consultation in machine learning emerged.
Artificial Intelligence Vs Robotics
Defining Robotics and AI
Robotics is the branch of science that deals with the development of robots. Robot aims to complete the work done by humans in much lower with better efficiency. The robot can automatically or need some initial guidance from humans.
AI is a branch of computer science and assists in developing software that can perform tasks that need personal discretion, decision-making, and intelligence as these qualities may not otherwise be programmed into a computer. AI development service can help the machine learn and understand the environment to adapt according to the situation. AI can even solve different problems, cope with logical reasoning and also to learn the language.
Robots are programmed and interact with their surroundings using sensors. They may be automatic or semi-automatic depending on the area of their application.
AI is a science that depends on machine learning and algorithms. If described in words is limited, AI is working on its own decision making and reasoning.
Application
Robot objectives to simplify your lifestyle and improve productivity. A robot that can improvise methods of work would be more than welcome. But a clear definition of the robot does not mean anywhere on learning. Designing a robot having a lot of physical buildings, external designing, and coding (or AI), which aims to improve decision-making capacity.
But AI is all about humanizing technology experience. AI engine found use in a GPS tracker, a better navigation system, chatbot messages customer service, and others. There are some cases where AI strength robot program.
There is a separate type of robot is supported by AI, namely, Artificial-Intelligent Robot. Robot Control is through AI program that was developed in a close-knit neighborhood. AI development company with development companies Robotic perform this task. AI robot has a varied spectrum of applications. They find use in some departments of the same factory robots while Doing simple repetitive tasks with a set of programmed movements. It does not require any intelligence.
Artificial Intelligent Robots
There is a specific example of artificial-intelligent robots:
Cobot (Non-artificially-intelligent)
A Cobot can do the job by itself after programming. It does not require human intervention to shut down. Cobot is a collaborative robot and in this case, will perform the work assigned repetitive because it is a non-AI robot.
Cobot (Artificially-intelligent)
The Cobot mentioned above can be further expanded with the addition of AI. The addition of AI adds to the perception of the robot. He also added that the decision-making instinct requires algorithms decorated. For example, a heat receptor to prevent the robot from entering the furnace while operating as a robot.
Conclusion:
Robotics involves manipulating objects in the real world. At the same time, the artificial intelligence program can use the data from the real world is obtained through robotics to improve their performance. AI/machine learning have a symbiotic relationship. One obvious application of AI for robotics in computer vision.
AI is a computer program designed for tasks that normally require human intelligence (human ability to learn), while the robot is a machine that completes complex tasks. AI can be used to control a robot, but they are very different.
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Our Mobile Apps Development services help organizations stakeholders among the best ways to communicate and engage with customers and take full leverage of Smartphones or Tablets for increasing their business or brand through streamlining of internal and external communication. Apps are helpful to give your customers the ability to interact with your business
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Why mobile app development is important?
With the mobile application developed for Apple's mobile operating system, Android, and others, you can create brand awareness and loyalty amongst a large number of existing and potential customers. In fact, many customers now expect a business or brand has its own dedicated mobile app. This means that it is not only a need to gain a competitive advantage over other businesses, but it is also becoming a necessity to avoid falling behind your competitors. Having a dedicated mobile application adds to the credibility of the brand.
In today's competitive world, people are making use of mobile applications to keep in touch with their favorite brands. Whether it's a smartphone or their tablet, mobile applications offer all information to potential customers in an easy way. Regardless of what business you are doing, the mobile application is useful in getting new customers while retaining existing customers. Being online is available round the clock will be a big boost to your business. It would be an added advantage if the information is available in the form of mobile applications. With different mobile applications developed for the platform as - Android and iOS, you can create brand awareness among a large number of new customers and exist. Here are some reasons why you should invest in mobile applications.
It is a known fact that the world has gone mobile and does not need to look back if you have a mobile app. Consumers use smartphones for local search and online marketing efforts you look through different mobile channels. Just having a website is not enough to sustain in the competitive business world today. Developing mobile applications as an alternative to browsing and you can gain a lot by investing in mobile applications.
If you have a mobile app, you are allowed to display their products and services in a better way. Your customers can use the mobile app as a one-stop destination, whenever they want to make a purchase. Smartphones have become a new tool for chatting with family and friends, buy a product, check the services and do much more. You need a mobile application to perform all the tasks above with ease.
Mobile applications are very convenient for the customers, as they are usually designed with usability in mind. The benefits of mobile applications are even greater when a business decides to develop custom mobile applications with the flexibility and features. You have to invest in mobile applications if you want to increase the level of professionalism.
Today, almost all business processes have become virtual. Therefore, there are increasing demands for mobile applications. If you want to provide better service to your customers, you should consider investing in the best mobile application development. With the increasing popularity of mobile applications, it is very valuable for any business to invest in the development of mobile applications.
Given the importance that mobile applications continue in today's society, it is only wise to make one for your business. Here are the main reasons why you should invest in the development of mobile applications.
1. The World has Gone Mobile
There is no denying that the world has gone mobile and there is no turning back. Consumers use their smartphones to find local businesses. Your online branding efforts are being seen through the mobile channel. Thus, just having a website is not enough anymore. Users turn away from desktop browsers and relying on mobile applications. Unlike traditional websites that flood your phone screen 6 inches, developing applications as intuitive and alternative browsing buying.
2. Mobile Apps Special On-The-Go Marketing
With the mobile application, existing customers can access your business anywhere and anytime in a user-friendly environment. regular use of your app will strengthen your brand or business. This means that when they need to buy something, chances are they will come to you. You have to make connections with their use and application is tantamount to putting your business in the pockets of your customers.
3. It Can Be a Social Platform
It almost goes without mentioning that people are obsessed with social media. So, you will want to be part of their obsession with the good. Integrating social features such as comments, likes, in-application messaging and others in your app can help your business improve its social status. People spend a lot of time on social media, especially Facebook and Twitter. So to have a mobile application that gives them all the features, they gain in social media means that they will spend more time in your application. In this way, the user can review, share or discuss the product. Remember we are by nature social beings and the future of mobile application development of social interaction. A great example of this is Amazon.com which essentially have built their own community in the review area.
4. Better Service and Sales
Luckily mobile application development has made it easier than previous sales. It is changing the way people buy and sell products and services. It is also changing the way customers view and analyze a product before buying. This means that consumers have more choices than ever to make buying decisions. With that said, it is important that you provide your clients with specialized applications, focusing on providing customers with the information they seek. Do not forget that a better service is one of the best practices to increase sales.
5. Real-Time Rich Data Capture
A mobile application saves of the slow process of collecting data and analyzing it. Focus groups can be expensive and time consuming. Mobile application makes it easy to capture information about customer preferences and act on your application. This information can be used to deliver personalized content that is relevant to individual consumers as well as to make decisions about how to improve your application based on how customers actually use. Make sure you give your users the option to opt-in to the program data and explain to them that it would be used to improve their customer experience. Once they have given their trust, do not disappoint them.
6. Apps Boost Interest
When you develop an application, it provides an easy way to display your products or services to existing customers and your prospective. Every time they want to buy something, they can only use it as a one-stop point for all the information they need. And every time you update your content, you can tell them and they can get the first glimpse of a new product or service you have on offer. It's inviting and tempting customers to regularly check your application.
7. Increase Customer Engagement
Engagement is what you can make with your application. This ensures that your business right in the palm of your customers. Consumers can interact with your business while in the car, in the dentist's waiting room and in line at the bank. Furthermore, you can use the location information and their profiles to personalize your offers to make them more relevant and interesting.
8. Access even in the middle of the Night
A mobile application can be accessed from anywhere at any time. Consumers can interact with your business while traveling. For example, they can not only place additional orders but can access all account information, track sales and recent account activity. Businesses also can promptly respond to customer requests. The level of service to take your business to the next level in your customer's mind.
9. A large, Young Audiences
Most young people go the old phone. Nearly 75% of millennials will have a smartphone by the end of the year. Difficult to involve the younger generation using outdated techniques. Young people prefer to rely on their mobile devices, even though they may have access to a traditional PC. Smartphones have become a new tool to chat with friends, browse and buy products and services online. To reach this audience, you have to have a mobile application.
10. Mobile Apps Are Very Convenient For Customers
Mobile applications are easier to use than the website. Applications are usually designed with a primary focus on usability. In fact, for most of the applications which are designed to offer the next level of usability. Greater benefits when a business decides to develop custom mobile applications that allow for more flexibility and can meet specific customer needs. Once installed, the application will help you achieve your team's customer support, service, and payment section. Your professionalism shows will enhance trust and recognition by the targeted audience through your application.
Conclusion
With the mobile industry is growing like that at this point, it is worthwhile for any business to invest in the development of mobile applications. If your business does not move and do not think about investing in the development of mobile applications, then you are already behind your competition. Even if your competitors are not mobile, they will soon.
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What is B2B eCommerce Model - Advantages & Disadvantages
B2B eCommerce business model has become one of the most successful business strategies online that has led to big revenue for internet businesses. It is expected that by 2020, revenue associated with B2B eCommerce will shoot for around $ 1.2 trillion. This means that B2B commerce exponentially increased at a rate of 7.4% annually. With the rapid growth of eCommerce in the world, more and more companies are adapting to the B2B model to achieve goals and improve profitability. Let us have an idea of what model of B2B eCommerce is and how appropriate modern-day business processes.
What B2B eCommerce Business Models?
In simple terms, B2B eCommerce is a form of electronic commerce-related transactions between the company's goods and services over the internet. In most cases, the transaction is conducted through an online portal. The main objective of this business model is to improve business efficiency and revenue from retailers. Rather than manually processing orders, all orders in a B2B model is processed in the digital platform. Contrary to the conventional eCommerce model of purchase and sale between the consumer and the seller, offer a B2B model in commercial transactions between companies.
The essence of this business model is based on careful planning to make transactions efficient and profitable in consideration of complex market conditions.
B2B eCommerce Business Models Advantages
predictability market
Compared with another business strategy, B2B eCommerce business models have more market stability. B2B sector is growing gradually and can adapt to a variety of complex market conditions. This helps to strengthen the presence and online business opportunities and get more potential clients and resellers.
Better sales
An improved supply chain management process with the collaborative approach to increasing customer loyalty in B2B eCommerce business models. This, in turn, leads to increased sales. It helps businesses to showcase products and opening effective recommendations upselling and cross-selling opportunities.
Lower costs
Because of the process of effective supply chain management, this online business model leads to lower costs for businesses. In most cases, the work is done via automation which eradicates the possibility of errors and improper spending.
Process-Centric Data
One of the main advantages of this model is that it relies on effective and factual data to streamline the entire process. In this way, mistakes can be avoided and a firm estimate can be made. With an integrated data-driven approach, you can calculate a detailed sales statistics.
B2B eCommerce Business Models Disadvantages
Just like any other business model, B2B eCommerce business model has some disadvantages as well, namely:
Market limited
Compared with B2C models, types of businesses have a limited market base because it relates to transactions between companies. This makes little effort eCommerce risky for small and medium businesses.
lengthy decision
Here, most of the purchase decision involves a long process because no two businesses are involved. This process may involve reliance on various stakeholders and decision-makers.
inverted structure
Compared with other models, consumers have more decision-making power than sellers in the B2B business model. They may demand adjustments, trying to impose specifications and a lower price level.
Conclusion:
By using electronic technology over the internet, it reaches more competition, more markets, faster transactions, and more advanced technology to create activities between customers and manufacturers are more active. We as customers and internet users are responsible for maintaining our e-commerce healthy and safe so that e-business can be more reliable in the future.
In order to create amazing and effective mobile apps, you are highly recommended to hire experts. Talking about experts, Fusion Informatics. offers the best mobile app development services in the industry. We talk to our clients and come up with the best yet affordable option.
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What is the difference between decentralized and distributed in blockchain?
The term 'decentralization' and 'distributed' is often used when talking about blockchains - and often confused, because the differences are not clear.
blockchain Bitcoin protocol, for example, is a decentralized system for exchanging digital money - but it is also an example of distributed book technology. What is going on?
Centralization and decentralization refers to the level of control.
In a centralized system, the control provided by only one entity (a person or a company, for example). In a decentralized system, there is no single controlling entity. Instead, control is divided among several independent entities.
Distribution refers to the differences in location.
In a non-distributed system (or co-located), all parts of the system are in the same physical location. In a distributed system, part of the existing system at a separate location.
What is a distributed ledger in Blockchain?
While often used interchangeably, a blockchain and distributed book are different - though somewhat different - technology. A book that is distributed is a consensus with the audit trail records cryptographic managed and validated by several separate nodes *. This data was convincing and synchronized cryptography can be spread over multiple agencies. Great books are distributed may include decentralization, granting equal rights to all participants in the protocol or centralized, designate specific users certain rights. Actors typically use large distributed books when they need a tool that allows concurrent editing of the shared state while maintaining its unicity. Country ledger determined through consensus algorithm, which can vary in mechanics, but in the end, it serve to validate the information from the input to the network.
Often described as a technology that supports the Bitcoin network, data structures blockchain have shared, replicated book consists of digital data that is recorded and cannot be changed in a package called a block. A blockchain is under great books distributed and acts as a way to order and validate the transaction in the ledger. While blockchain automatically generates a new "block" after certain predetermined criteria are met, a great book distributed only after it is submitted to verify the transaction, as opposed to pushing out the empty block. A blockchain is a way to implement distributed books, but not all necessarily employ distributed blockchains ledger. * In the book distributed, it is not always the case that all the nodes either receives all the information or if they do, can understand it. In Ethereum models, for example, all the nodes receive and understand all the information. In Corda, only nodes involved realize that the transactions there.
What is Decentralization in Blockchain?
The decentralized nature blockchain technology means that it does not rely on a central point of control. The lack of a single authority to make the system fairer and much safer. The way in which the data is recorded onto blockchain a quality symbolize its most revolutionary: the value of decentralization. Instead of relying on the central government to securely transact with other users, blockchain using innovative consensus protocol in the network node, to validate the transaction and records the data in a way that is not mortal. As blockchain is great book information is very important that the information stored truthful and accurate.
Conclusion:
Blockchain is very an essential part of our life now because it allows us to own digital goods, assets, and data and provide a greater level of security to the individual user as it removes the need for weak and easily compromised passwords and online identities.
Blockchain technology provides fast, secure and transparent transfer of peer-to-peer digital goods that includes money and intellectual property. In crypto coin mining and investment, blockchain technology is an important topic to understand.
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The 10 Most Important Cryptocurrencies Other Than Bitcoin

Bitcoin is not only a trendsetter, delivering waves of cryptocurrency built on a decentralized peer-to-peer network, but it has also become the de facto the standard for cryptocurrency, inspiring legions of followers and growing spinoffs.
What is Cryptocurrency?
"Crypto" in cryptocurrency refers to complex cryptography that allows certain digital tokens to be generated, stored and transacted safely and, usually, anonymously. Along with the important "crypto" feature of this currency is a shared commitment to decentralization; cryptocurrency is usually developed as code by the team that builds mechanisms for publishing (often, though not always, through a process called "mining") and other controls.
1. Litecoin (LTC)
Litecoin, launched in 2011, was one of the earliest cryptocurrency after bitcoin and is often referred to as "silver for bitcoin gold." It was made by Charlie Lee, an MIT graduate, and a former Google engineer. Litecoin is based on an open-source global payment network, which can be translated with the help of consumer-class CPUs. Although Litecoin is like bitcoin in many ways, it has a faster block inhibition rate and this is the reason it offers faster transaction confirmation. In addition to developers, there are more and more traders who accept Litecoin. As of February 9, 2019, Litecoin has a market capitalization of $ 2.63 billion and a value per token of $ 43.41.
2. Ethereum (ETH)
Ethereum Launched in 2015, It is a decentralized software platform that enables Smart Contracts and Distributed Applications (DApps) to be built and run without downtime, fraud, control or interference from third parties. Applications on ethereum are run on platform-specific cryptographic tokens, ether. Ether is like a vehicle for moving on the ethereum platform and is sought after by most developers who want to develop and run applications inside ethereum, or now by investors who want to make purchases of other digital currencies using ether.
During 2014, ethereum launched pre-sales for ether that received an extraordinary response; this helped usher in the era of early coin bidding (ICO). According to ethereum, this can be used to "codify, decentralize, secure and trade anything." After the attack on DAO in 2016, Ethereum was split into Ethereum (ETH) and Ethereum Classic (ETC). As of February 9, 2019, Ethereum (ETH) had a market capitalization of $ 12.49 billion and a value per token of $ 118.71.
3. Zcash (ZEC)
Zcash, a decentralized and open-source cryptocurrency launched at the end of 2016, looks promising. "If bitcoin is like HTTP for money, zcash is HTTPS," is one analogy that zcash uses to define itself. Zcash offers privacy and selective transaction transparency.
Zcash offers its users a "protected" transaction option, which allows content to be encrypted using sophisticated cryptographic or knowledge-free construction techniques called zk-SNARK developed by his team. As of February 9, 2019, Zcash had a market capitalization of $ 291.25 million and a value per token of $ 49.84.
4. Dash (DASH)
Dash is known as darkcoin. It is a more secret version of bitcoin. Dash offers more anonymity when working on a decentralized master code network that makes transactions almost traceable. Launched in January 2014, the dash experienced the following fan increases in a short span of time. This cryptocurrency developed by Evan Duffield and can be mined using a CPU or GPU. In March 2015, 'Darkcoin' was renamed Dash, which stands for "digital cash" and operated under the DASH ticker. R rebranding does not change the functionality of its technology features including DarkSend and InstantX. As of February 9, 2019, Dash had a market capitalization of $ 640.76 million and a value per token of $ 74.32.
6. Monero (XMR)
Monero is a safe, private and traceable currency. This open-source cryptocurrency was launched in April 2014 and immediately attracted great interest among the community and cryptographic fans. The development of cryptocurrency is entirely donation based and community based. Monero has been launched with a strong focus on decentralization and scalability, and allows complete privacy by using a special technique called "signature ring."
With this technique, a group of cryptographic signatures appears including at least one real participant, but because all of them appear valid, the original cannot be isolated. Because of exceptional security mechanisms such as this, Monero has developed a bad reputation; has been linked to criminal operations throughout the world. Even so, whether it is used for good or sickness, it cannot be denied that Monero has introduced important technological advances into the cryptocurrency space. On February 9, 2019, Monero had a market capitalization of $ 808.50 million and a value per token of $ 48.18.
7. Bitcoin Cash (BCH)
Bitcoin Cash holds an important place in altcoin history because Bitcoin Cash is one of the earliest and most successful hard forks of genuine bitcoin. In the world of cryptocurrency, a fork occurs as a result of debates and arguments between developers and miners.
When different factions cannot reach an agreement, sometimes the digital currency is split, with the original remaining with the original code and other copies beginning to live as a new version of the previous coin, complete with changes to the code. Bitcoin cash began its life in August 2017 as a result of one of these schisms. The debate that led to the creation of BCH was related to the issue of scalability; bitcoin has a strict limit on block size, 1 megabyte. BCH increased the block size from 1MB to 8MB, with the idea that a larger block would allow faster transaction times. It also made other changes as well, including the removal of the Separate Witness protocol which affected block space. On February 9, 2019, BCH had a market capitalization of $ 2.23 billion and a value per token of $ 126.49.
9. Cardano (ADA)
Charles Hoskinson, one of the founders of ethereum, launched cardano in September 2017. For supporters of this digital currency, ADA offers all the benefits of ethereum, as well as many other things. Cardano offers a platform for Dapps and smart contracts, like ethereum before. In addition, ADA aims to solve some of the most pressing problems that are plaguing cryptocurrency everywhere, including interoperability and scalability.
Cardano also hopes to address issues related to international payments, which are usually timely and expensive. Thanks to its focus on this area, ADA can take international payment processing time from days to just seconds. As of February 9, 2019, Cardano has a market capitalization of $ 1.16 billion and a value per token of $ 0.041.
One of the newest digital currencies on our list is EOS. Launched in June 2018, EOS was created by the cryptocurrency pioneer Dan Larimer. Before working at EOS, Larimer founded Bitshares digital currency exchange and a blockchain-based social media platform, Steemit. Like the other cryptocurrency on this list, EOS was designed after ethereum, so it offers a platform where developers can build decentralized applications. EOS is famous for many other reasons.
First, the first coin offering is one of the longest and most profitable in history, reaching a record $ 4 billion in investor funds through a year-long crowdsourcing effort. EOS offers a delegated proof of ownership mechanism that is expected to offer scalability beyond its competitors. EOS consists of EOS.IO, similar to computer operating systems and acts as a blockchain network for digital currencies, as well as EOS coins. EOS is also revolutionary because of the lack of a mining mechanism to produce coins. Instead, block producers produce blocks and are rewarded in EOS tokens based on their production level. EOS includes a complex system of rules to govern this process, with the idea that the network will eventually be more democratic and decentralized than those in other cryptocurrency. As of October 5, 2018, EOS has a market capitalization of $ 2.49 billion and a token value of $ 2.74.
10. EOS (EOS)
One of the newest digital currencies on our list is EOS. Launched in June 2018, EOS was created by the cryptocurrency pioneer Dan Larimer. Before working at EOS, Larimer founded Bitshares digital currency exchange and a blockchain-based social media platform, Steemit. Like the other cryptocurrency on this list, EOS was designed after ethereum, so it offers a platform where developers can build decentralized applications. EOS is famous for many other reasons.
First, the first coin offering is one of the longest and most profitable in history, reaching a record $ 4 billion in investor funds through a year-long crowdsourcing effort. EOS offers a delegated proof of ownership mechanism that is expected to offer scalability beyond its competitors. EOS consists of EOS.IO, similar to computer operating systems and acts as a blockchain network for digital currencies, as well as EOS coins. EOS is also revolutionary because of the lack of a mining mechanism to produce coins. Instead, block producers produce blocks and are rewarded in EOS tokens based on their production level. EOS includes a complex system of rules to govern this process, with the idea that the network will eventually be more democratic and decentralized than those in other cryptocurrency. As of October 5, 2018, EOS has a market capitalization of $ 2.49 billion and a token value of $ 2.74.
Conclusion:
Cleverbot is constantly developing in data size at the rate of 4 to 7 million every second. Updates to the product have been mostly behind the scenes. Cleverbot was moved up to utilize GPU serving methods in 2014. The program picks how to react to clients fuzzily, the entire of the discussion being contrasted with the millions that have occurred previously. Presently Cleverbot uses is expanded more than 279 million cooperations, around 3-4% of the information it has effectively amassed. The engineers of Cleverbot are attempting to fabricate another adaptation of Cleverbot by utilizing machine learning systems.
We at Fusion Informatics a leading chatbot development company in San Francisco provides best chatbot services that help companies to interact with customers. We present automated customer support for your business by messaging in a textual manner. As a leading chatbot development company, we endeavor to full chatbot solutions for Facebook, what's up, Twillo and Telegram.
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Types of e-Commerce Businesses
E-commerce is also known as electronic commerce. Through e-commerce we buy and sell of goods and services, or funds or data transmission, through electronic networks, particularly the Internet. These business transactions occur both as a business-to-business (B2B), business-to-consumer (B2C), consumer-to-consumer or consumer-to-business. The term e-commerce and e-business are often used interchangeably. The term e-tail is also sometimes used in reference to the transactional process for shopping online.
The history of e-commerce
The beginning of e-commerce can be traced to the 1960s, when businesses began using Electronic Data Interchange (EDI) to share business documents with other companies. In 1979, the American National Standards Institute developed ASC X12 as the universal standard for businesses to share documents through electronic networks.
After a number of individual users to share documents electronically with each other to grow in the 1980s, the advent of eBay and Amazon in the 1990s revolutionized e-commerce industry. Consumers now can buy an unlimited number of items online, from e-tailers, typical brick and mortar store with e-commerce capabilities and to one another.
Type of e-commerce
Business-to-business (B2B) e-commerce refers to the exchange of products, services or information between businesses to business rather than between businesses and customers electronically. Examples include online directories and supply products and exchange website that allows companies to search for products, services, and information and to initiate transactions through e-procurement interface.
In 2017, Forrester Research predicts that B2B e-commerce market will top $ 1.1 trillion in the US in 2021, accounting for 13% of all B2B sales in the nation.
Business-to-consumer (B2C) is part of a retail e-commerce on the Internet. This is when the business of selling products, services or information directly to the consumer. The term was popular during the dot-com boom of the late 1990s, when online retailers and sellers of goods are nothing new.
Currently, there is a virtual store innumerable and malls on the internet sell all kinds of consumer goods. The most recognized example of this is Amazon's site, which dominates the B2C market.
Consumer-to-consumer (C2C) is a type of e-commerce in which consumers trade in products, services and information with each other online. These transactions are generally done through a third party that provides an online platform where transactions are made.
online auctions and classified ads are two examples of C2C platform, eBay and Craigslist became two of the most popular of this platform. Because eBay is a business, forms of e-commerce can also be called C2B2C - consumer-to-business-to-consumer.
Consumer-to-business (C2B) is a type of e-commerce in which consumers make products and services available online they are for companies to bid on and purchase. This is the opposite of the traditional trading models B2C.
A popular example of C2B platform is a market selling royalty-free photos, images, media and design elements, such as iStock. Another example would be a job board.
Business-to-administration (B2A) refers to transactions conducted online between companies and public administration or government agencies. Many branches of government depends on the e-services or products in one way or another, especially when it comes to legal documents, registers, social security, fiscals and work. These businesses can provide electronically. B2A services has grown in recent years as an investment has been made in the ability of e-government.
Consumer-to-administration (C2A) refers to transactions conducted online between individual consumers and the public administration or government agencies. Government rarely buy products or services from the citizens, but people often use electronic means in the following areas:
· Education: disseminating information, distance learning/online lectures, etc.
· Social security: distributing information, making payments, etc.
· Taxes: filing tax returns, making payments, etc.
· Health: making appointments, providing information about illnesses, making health services payments, etc.
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Apps with AI and Chatbots are the Future of Mobile Technology
The first and foremost benefit of chatbots and AI is that customer interactions will be more interesting and lively. Chatbots will not be bored with your chat, but they will find out more about the tastes and preferences of users.
In addition, with chatbots and AI, you are not required to download applications for the task. Ask Google Assistant and Siri, and that will tell you everything.
In this way chatbots and AI will function in the future. They will function like your calculator, music player, and booking agent. You have a bot, and you can do anything with it. No need to download lots of applications on your smartphone, saving you a lot of space.
Chatbots are your friends. They will get to know you better and continue to recommend you new things that you can do and listen to. They will adjust everything according to your taste. Users will be more excited to have chatbots on their mobile applications.
Mobile application developers can identify all the benefits of chatbots and AI that suggest a smooth spread of chabots for sending messages or other activities and faster marketing time.
In addition, you can easily integrate chatbots and AI in existing applications easily. With intelligent chatbot and AI, you can use all features easily, and add a number of other additional features to your mobile application.
Industry of Chatbots and AI Widely Used
Here are some industries where chatbots and AI are widely used:
- ECommerce and Customer Service
The most common industries where chatbots and AI are widely used are the ECommerce and Customer Service industries. Because of its availability all over the world to answer user questions. Chatbots and AI will replace this boring customer experience via telephone lines or search tools for ECommerce websites.
For example, Ebay's ShopBot has demonstrated the potential of chatbots to help their customers find the ideal product they want by using a digital shopping assistant.
According to Statista.com, more than 30% of ECommerce companies worldwide have chatbots and AI integrated on their website.
- health
Another industry where chatbots and AI are used is the health industry. Chatbot analytics makes it easy for healthcare providers to improve the performance of these bots. At present, talking to doctors may be difficult because of their tight and expensive schedules due to less serious illnesses. By train you don't need to see a doctor very often when your illness is not serious. Chatbots will help you in diagnosing your disease.
According to Statista.com, 10% of all medical institutions in the US use chatbots to cure common illnesses.
- News and Publishing
Other major industries where chatbots and AI are used are the news and publishing industry. What's more, personalization is important for media company success. With chatbots and AI it will provide them with a very personal service, this might be the ideal medium for sending content to online viewers and readers.
Recently, CNN launched a new mobile application with integrated chatbot in it. Also, they add functionality to Facebook Messenger where users can receive daily news updates.
Conclusion:
Chatbots and AI clearly add quality to your mobile application, especially with support for intelligence gained through AI. If you want to increase mobile app downloads, and increase user engagement, it's time for businesses to think smartly and differently. Adding chatbots and AI to your existing mobile application will give you an edge over your competition and will help you increase your conversions.
There are a number of benefits associated with original chabot and AI development. Depending on business requirements, analyzing and automating existing business mobile applications with native chatbots and AI.
If you do not have enough knowledge about how to integrate chatbots and AI in existing mobile applications, you should hire a mobile application development company or hire a mobile application developer for the same.
In addition, the chatbot developer will also give you good feedback on how to integrate chatbot and AI. Therefore, machine learning, chatbot, and AI are one of the most trending technologies today if you want to stay ahead of the competition than you should integrate into your business applications.
We at Fusion Informatics a leading chatbot development company in San Francisco provides best chatbot services that help companies to interact with customers. We present automated customer support for your business by messaging in a textual manner. As a leading chatbot development company, we endeavor to full chatbot solutions for Facebook, what's up, Twillo and Telegram.
Our top chatbot development company in California, Indiana and San Francisco, Bay Area handles the best chatbot development structures for creating custom chatbots based on our client's individual business demands. We advance and train high-quality chatbots with conversational intelligence, context sensation, and self-features.
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BENEFITS & RISKS OF ARTIFICIAL INTELLIGENCE
Artificial intelligence is transforming the nature of almost everything which is connected with human e.g. employment, warfare, communication, ethics, security, privacy, economy, healthcare, etc. AI has geared up to raise and enlarge way more than ever anticipated and gives us more variables to work and helps us to process all the variables in a programmatic way which is more easier and offers a transparent level of confidence.
AI is a machine which exhibits human intelligence and has the ability of a computer program or a machine to think and learn. It can perform any intellectual task that a human being can perform and machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. The purpose of artificial intelligence is to create technology that allows machines and computers to function in an intelligent way. AI is a type of machine that focuses on creating systems that can collect data and make decisions and/or solve problems. In upcoming years, the verses of artificial intelligence have been buzzing in our ears by almost all professions.
WHY RESEARCH AI SAFETY?
In the near future, the goal of maintaining the impact of AI on community benefits motivates research in many fields, ranging from economics and law to technical topics such as verification, validity, security, and control. Whereas it might be a little more than a small annoyance if your laptop crashes or is hacked, it becomes more important that the AI system does what you want if you control your car, your plane, your pacemaker, your automatic trading system or your electricity network. Another short-term challenge is to prevent a devastating arms race in deadly autonomous weapons.
In the long run, the important question is what will happen if a strong AI search is successful and this system is better than humans in all cognitive tasks. As indicated by I.J. Both in 1965, designing a smarter AI system itself was a cognitive task. Such a system has the potential to experience recursive self-improvement, triggering an explosion of intelligence that makes human intelligence far behind. However, some experts have expressed concern, that it might also be the last unless we learn to align AI's goals with our goals before becoming super intelligence.
There are some who question whether strong AI will ever be achieved, and others insist that the creation of super-intelligence AI is guaranteed to be beneficial. At FLI we recognize these two possibilities, but also recognize the potential for artificial intelligence systems to intentionally or unintentionally cause large losses. We believe today's research will help us better prepare ourselves and prevent potential negative consequences in the future, so we can enjoy the benefits of AI while avoiding traps.
HOW CAN AI BE DANGEROUS?
Most researchers agree that AI cannot able to show human emotions such as hate or love, and that there is no reason to expect AI to be intentionally good or bad. Conversely, when considering how AI can be a risk, experts think of the two most likely scenarios:
AI is programmed to do something destructive: Autonomous weapons are artificial intelligence systems programmed to kill. In the wrong hands, these weapons can easily cause mass casualties. In addition, the AI arms race could accidentally cause an AI war which also resulted in mass casualties. To avoid being thwarted by the enemy, these weapons will be designed very difficult to "turn off", so that humans can reasonably lose control of such situations. This risk is the risk that is present even with a narrow AI, but grows with the increasing level of intelligence and autonomy of AI.
AI is programmed to do something useful, but develops destructive methods to achieve its goals: This can happen every time we fail to align AI goals with our goals, which is very difficult. If you ask for an obedient smart car to take you to the airport as soon as possible, it might get you chased by a helicopter and be filled with vomiting, not doing what you want but literally what you ask for. If a super intelligent system is assigned an ambitious geoengineering project, it might wreak havoc on our ecosystem as a side effect, and view human efforts to stop it as a threat that must be met.
Conclusion:
It is a unique technology in computer science, It describes the use of human-level intelligence and accuracy to machines. This technology based on developing or creating intelligent machines that can simplify human task easily. Some of the activities in computers with artificial intelligence are designed for include: Speech recognition, Learning.
Fusion Informatics is a leading Artificial Intelligence Development company in San Francisco, California & USA provides best AI solutions to the customers and provides applications services for Android, iOS(iPhone & iPad), & IoT app development. We are listed under top 10 mobile app development companies in the USA for giving a complete solution to clients from established companies to newborn start-ups.
Our Mobile Apps Development services help organizations stakeholders among the best ways to communicate and engage with customers and take full leverage of Smartphones or Tablets for increasing their business or brand through streamlining of internal and external communication. Apps are helpful to give your customers the ability to interact with your business
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