Machine learning is a branch of artificial intelligence which empowers the computer systems with the ability to learn on their own automatically from experience and improve functioning. During the last five years, there have been waves of gradual improvisation of machine learning in the industry
The Internet of Things (IoT) has been proclaimed as the next generation technology. The capability of transferring data over a network without the need for human interaction will enable various devices such as appliances and automobiles to interact with each other on their own. When you look at the potential, it is one of the biggest revolutions waiting to happen in the realm of technology.
The ‘Cloud’ is basically a network of remote servers to store, manage and process data. Cloud computing is the methodology that provides on-demand shared data and processing resources to computers that are connected to the Internet. This way it enables ubiquitous access to a pool of configurable computing resources like storage, servers, networks and applications services. Read More
Artificial Intelligence is about creating intelligent machines to perform cognitive tasks. The ability of these machines to think like humans would keep improving when they have sufficient data to identify patterns and trends. Digital Marketing (DM) is an expertise that extensively revolves around data and analytics. The ability to figure out the right insights from data is crucial to the success of any online initiative. With a massive increase in the amount of data and its sources, it’s logical to believe that AI has a vital role to play in digital marketing.
Most businesses today rely heavily on data analytics. But, if you want to make spontaneous judgments based on the latest data that comes into the system, then Real-time analytics is what you need.
We know that Artificial Intelligence (AI) has something to do with machine learning and so does business intelligence (BI) with statistical modeling and data science. However, the details about the key differences can be difficult to understand. If you can comprehend how each of these technologies works, then it can be a lot easier for us to recognize these differences or know how they are interrelated.
The app store, which is a repository of mobile apps, has numerous third-party apps. While many are free, few of them charge you a fee, and some are available in freemium versions. (The freemium apps have only the basic version available for free, and if you want the full version, then you have to pay for it.)
Internet of Things (IoT) is a seamless and massive platform through which different types of devices can connect with each other over the Internet, enabling them to share and exchange information. The devices can vary in forms and functionality, and all they need is the ability to transmit and receive data over a network. Through this, they would be able to perform useful tasks on their own without any human intervention.
There are various ways for a business to establish its online presence. A functional website, pages on various social networking sites such as Facebook, LinkedIn or Instagram, or a Mobile App, are the ideal ways to communicate and engage with prospects and customers. But a Mobile app deserves a special mention. Any organizations wondering about the necessity to build its own mobile app should consider the following facts:
Automating Testing has a significant role in the lifecycle of software development. Unlike the traditional method of manual testing that is performed by humans and involves careful execution of the test steps, the Automation Testing utilizes automation tools to execute the test case suite. When the test suite is automated, it requires no further human intervention, which can have many advantages.