ERP stands for enterprise resource planning, which is a type of software used by companies to manage information across the organization. Cloud ERP is a type of enterprise resource planning software that is present in a cloud computing platform, rather than on-premises within an enterprise’s own data centre.
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To summarize a long story briefly, here’s the difference between virtual, augmented, and mixed reality technologies:
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what is mixed reality ? Mixed reality(MR) is a significant advancement of augmented reality the technology behind 2016’s Pokémon GO phenomenon. In a “hybrid” environment, interactive virtual objects can be mapped to the physical environment, blending the real and the virtual.
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Augmented reality and virtual reality are both are different concepts. But that readily distinguish them from one another. They sound similar, and as the technologies develop, they flow over into each other a bit. These days the terms augmented reality and virtual reality get thrown around a lot.
What is Augmented Reality ? Augmented reality has come a long way from a science-fiction idea to a science-based reality. The costs of augmented reality were so large that designers could only imagine working on design projects that involved it today things have changed and augmented reality is even accessible on the mobile handset.
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What is virtual reality ? Virtual reality really makes it possible to experience anything, anywhere, anytime. It means experiencing objects or things through our computers that actually don’t really exist. With so many cameras and devices, it can be easy to feel left behind, and virtual reality is already becoming a very in-demand.
Business innovations and the opportunities that are being created is how enterprises discriminate themselves from the other. It is how they create value, and eventually, how they pass that value over to the client. Read More
Every day we are wade through different top trending technologies. In 2019 people are gone through Artificial intelligence (AI), it is changing the way we think of technologies, there are multiple businesses profits obtained from artificial intelligence technology.
Nowadays people will be showing more interest in learning new technologies. There are a number of top trending technologies in that Artificial intelligence is one of the top trending technologies. Who is wade through Artificial intelligence it is good for their career?
The most typical dilemma that rises if you prefer to develop a mobile application is to make the appropriate decision between the varying approaches to get the app developed. This blog will help you grasp the difference and pick the most appropriate among Hybrid mobile app and Native mobile app.
The answer can be summarized in one word: “Ecosystem” – which means, Python has all the best packages and stuff for numeric computing.
Python has been watching a steep upward trend in the last two years. In backend development, PHP and Python web development are two among the most trendy choices that profession, as well as developers, make.
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It’s an exciting time to be living in for tech enthusiasts. Never before had so many new technologies disrupted businesses and consumers alike. For enterprises, it presents a new set of challenges – the decision to choose which technologies to adopt and how much to invest in each. What makes the decision even more complex is the interplay and dependencies of these disruptive technologies with each other which makes it difficult to do a cost-benefit analysis of any of these technologies when viewed in isolation.
The most common dilemma that arises if you wish to develop a mobile application is to make the right choice between the different approaches to get the app developed. This blog will help you know the difference and pick the most appropriate between Hybrid mobile app and Native mobile app.
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AWS Stands For Amazon Web ServicesA Broad IT Infrastructure Platform. AWS is one the On Demand Cloud Computing Platform Launched in July 2002 by Amazon.com .
There’s been a lot of talk about the “Internet of Things” (IoT). But, what exactly does that term mean in the realms of cyberspace?
For the human race, which is relatively disorganized by nature, the “Internet of Things” is a great innovation. However, for people who value their privacy, the “Internet of Things” could be considered a massive intrusion.
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Computing services such as servers, storage, databases, networking, software, analytics and more over the Internet delivers the cloud computing. Companies providing these computing services are called cloud providers.
Clear up the confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning differ.
Computer vision allows machines to identify people, places, and things in images with accuracy at or above human levels with much greater speed and efficiency. Often built with deep learning models, it automates extraction, analysis, classification and understanding of useful information from a single image or a sequence of images. The image data can take many forms, such as single images, video sequences, views from multiple cameras, or three-dimensional data.
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Artificial Intelligence (AI) is the field of computer science dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition. Artificial Intelligence, often abbreviated as “AI”, may connote robotics or futuristic scenes, AI goes well beyond the automatons of science fiction, into the non-fiction of modern day advanced computer science. Read More
Amazon Web Services (AWS) is a secure cloud services platform, offering computer power,
database storage, content delivery and other functionality to help businesses scale and
grow. If you want get trained on AWS Training then its important to understand why
millions of companies or customers are currently leveraging AWS and what is the benfits
of AWS for thier business.
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Today, there is a buzz all around about Docker and containerisation in general. What exactly is Docker and how is it related to containerisation? What are the top benefits of using docker? Why did it became so popular? In this article I will answer all these questions as well as give you a few statistics and some successful case studies related to Docker that are nice to know about.
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Enticed by promises of agility, cost-effectiveness and update efficiency, companies across the spectrum are embracing DevOps. Billed as the modern answer to fluid system improvement, DevOps is supposedly a smoother, faster and more cost effective software development tactic in contradistinction to the staggered waterfall or cascade approaches.
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Let’s say that a new technology is developed that could allow many parties to transact a real estate deal. The parties get together and complete the details about timing, special circumstances and financing. How will these parties know they can trust each other? They would have to verify their agreement with third parties – banks, legal teams, government registration and so on. This brings them back to square one in terms of using the technology to save costs.
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In earlier days, solutions were associated with getting the technology right. The key was technology, the solution was technology and the business expected and paid for technology. Times have changed. Well, at least for those of us taking notice. Today technology is hardly ever a significant problem. Technically, we have a less complicated world. Over the years we have come to understand that technology is basically an arrangement of Processing, Memory, Networking and Storage. We have mastered utilization by using virtualization. We understand horizontal scaling is ‘better’ than vertical scaling and that we can deliver the PMNS more easily in converged and hyperconverged products that also contain the software solution. We have automated many of the key activities to enable reduction in time and costs.
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Machine Learning is a new trending field these days and is an application of artificial intelligence. It uses certain statistical algorithms to make computers work in a certain way without being explicitly programmed. The algorithms receive an input value and predict an output for this by the use of certain statistical methods. The main aim of machine learning is to create intelligent machines which can think and work like human beings.
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Blockchain is an irrefutably resourceful invention which is practically bringing about a revolution in the global business market. Its evolution has brought with it a greater good, not only for businesses but for its beneficiaries as well. But since it’s revelation to the world, a vision of its operational activities is still unclear. The main question stick in everyone’s mind is – What is Blockchain?
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“Artificial Intelligence has been brain-dead since the 1970s.” This rather ostentatious remark made by Marvin Minsky co-founder of the world-famous MIT Artificial Intelligence Laboratory, was referring to the fact that researchers have been primarily concerned on small facets of machine intelligence as opposed to looking at the problem as a whole. This article examines the contemporary issues of artificial intelligence (AI) looking at the current status of the AI field together with potent arguments provided by leading experts to illustrate whether AI is an impossible concept to obtain.
Text-to-speech is the generation of synthesized speech from text. The technology is used to communicate with users when reading a screen is either not possible or inconvenient. This not only opens up applications and information to be used in new ways, but also has the ability to make the world a more accessible place to individuals who are unable to read text on a screen.
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Derived from “chat robot”, “chatbots” allow for highly engaging, conversational experiences, through voice and text, that can be customized and used on mobile devices, web browsers, and on popular chat platforms such as Facebook Messenger, or Slack. With the advent of deep learning technologies such as text-to-speech, automatic speech recognition, and natural language processing, chatbots that simulate human conversation and dialogue can now be found in call center and customer service workflows, DevOps management, and as personal assistants.
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If someone asked you “how safe is a community,” how would you respond? Would you ask what kind of community they mean, tell them about the community you live in, or just shrug your shoulders and say, “it depends?”
The question “how secure is the cloud?” is every bit as difficult to answer. There are many different types of clouds, with different levels of security. But while you can’t redesign your community to fit your security needs, you can control your cloud. A custom-built managed cloud can have all the security controls and precautions your organization needs to keep your data safe.
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In just a few years, cloud computing has gone from providing one-size-fits-all utilities and cheap compute to an engine for revolutionizing business and the clouding computing benefits the organization. Enterprises are no longer moving to the cloud to save a few bucks on hosting — they’re looking to cut costs and increase ROI across the organization. To meet their cloud computing cost savings goals, enterprises needs to move beyond bargain hunting tactics, to a strategic approach geared toward simplifying and unifying the IT landscape.
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Did you know that 80% of SAP clients are SMEs? If you have heard before some comments such as “too expensive”, “too complicated”, “too big”, it is not true anymore. Things have really changed!
Thousands of SMEs like yours have benefited for many years from the simplicity and flexibility of SAP solutions for such a type of business. Specifically designed for small / medium-sized businesses, but also taking advantage of SAP huge 43-year experience, these SAP solutions allow companies to best manage their costs, sales, procurement, production, human resources and many other aspects of their operations.
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Big data, which, for the uninitiated are large data sets that are too complex and layered to be analyzed by database queries and conventional analysis, promise to soon become the darling in the eyes of ecommerce retailers. While ecommerce retailers absolutely love the power of analytics in analyzing and predicting customer behavior and attitudes, regular customer data such as product browsing data, content browsing data reveal only the tip of the iceberg that is the customer mind. Analytics is so much data and figure-oriented. Big data, on the other hand, encompasses a panorama of customer thought patterns and attitudes. Big data comprises data from videos, websites, scanned images, and surveys which, though difficult to analyze, can reveal a wealth of information.
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