Custom Software Development
Mobile Application Development
Mobile application development is a term used to denote the act or process by which application software is developed for handheld devices, such as personal digital assistants, enterprise digital assistants or mobile phones.Mobile application development is the set of processes and procedures involved in writing software for small, wireless computing devices such as Smartphone or tablets. Mobile application development is similar to Web application development and has its roots in more traditional software development.
One critical difference, however, is that mobile applications (apps) are often written specifically to take advantage of the unique features a particular mobile device offers. For instance, a gaming app might be written to take advantage of the iPhone's accelerator. One way to ensure that applications show optimum performance on a given device is to develop the application (app) natively on that device. This means that at a very low level, the code is written specifically for the processor in a particular device. When an app needs to run on multiple operating systems, however, there is little -- if any -- code that can be reused from the initial development. The application must essentially be rewritten for each specific device.
Web Application Development
Web application development is the process and practice of developing web applications. Considering this, along with its unique characteristics,
popular frameworks used include the spiral approach and business-oriented approach to application development, among other models that address
the requirements for an iterative process.There is a consensus that the processes involved are extensions of standard software engineering processes.
Web application development Just as with a traditional desktop application, web applications have varying levels of risk. A personal home page is much less risky than, for example, a stock trading web site. For some projects security, software bugs, etc. are major issues. If time to market, or technical complexity is a concern, documentation, test planning, change control, requirements analysis, architectural description and formal design and construction practices can mitigate risk.
A study conducted involving web engineering practice revealed that web application development has several characteristics that have to be addressed and these include: short development life-cycle times; different business models; multi-disciplinary development teams; small development teams working on similar tasks; business analysis and evaluation with end-users; explicit requirement and rigorous training against requirements; and, maintenance.
Digital marketing has now become the new face that is driving the internet world.
Many people have heard the word internet but they do not fully understand how it works and its benefits, and this has raised curiosity in them wanting to know more about
Digital marketing has been in existence since the 1990’s, it gained its popularity in the early 2000s and is still a growing field and it has shifted the way businesses use technology for marketing their products.Marketing is about creating a connection with your audience at the right place and time and offering value to your customers and society at large.
So what is digital marketing? Digital Marketing is any form of creating awareness or promoting products or services that involve using an electronic device. Digital marketing can be operated in both online and offline. Offline is any media channels that aren’t connected to the internet. These channels include billboards, television ads, telemarketing, radio, print advertising, signs, and pamphlets. In this article, I will be focusing on online marketing because offline marketing is no more functioning as it used to be. Online marketing is the future now. Let’s take a tour and discuss some of the areas of online marketing that will give us a clear overview of the online world.
Does digital marketing work for business?
The answer is yes it does work
When you use the right methods and strategies, you will surely take your business to the next level. Many businesses fail because they do not follow the right methods in approaching digital marketing. Digital marketing has its guides and steps that you must follow in order to succeed in the digital world. What are the benefits of digital marketing? Digital marketing has given you an in-depth knowledge on how the online marketing works. Through digital marketing, you will be able to strategize and put proper measures into building your business and reaching a large number of targeted customers.
Which tactics will you implement in your online business?
Reengineering & Migration
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
It can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts.
Internet Of Things
The Internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are
provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
A thing in the internet of things can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in
sensors to alert the driver when tire pressure is low or any other natural or man-made object that can be assigned an IP address and is able to transfer data over a network.
Increasingly, organizations in a variety of industries are using IoT to operate more efficiently, better understand customers to deliver enhanced customer service, improve decision-making and increase the value of the business.
Artificial intelligence (AI)
Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip, "AI is whatever hasn't been done yet."For instance, optical character recognition is frequently excluded from "artificial intelligence", having become a routine technology.Capabilities generally classified as AI as of 2017 include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomous cars, intelligent routing in content delivery network and military simulations.
Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"),followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other.These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences. Subfields have also been based on social factors (particular institutions or the work of particular researchers).
In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science.