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.
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
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.
AR (Augmented Reality) and VR (Virtual Reality) together had a promising start a few years ago. However, after a bit of a dip in the popularity, both these technologies are again predicted to have exponential growth in 2018. The increased utilization could be the result of the acceptance they have gained in the industries that had previously been reluctant to use them.
Over the past few years, the new trend in digital marketing has been about embracing digital transformation. Automation is steadily being accepted by various aspects of digital marketing that include SEO, PPC, Social Media, Emails and even Content. The growth of mobile, AI, AR & VR, has also contributed towards the integration of automation with customer life-cycle.
The specialized discipline of Software Project Management is critical to the development of value-oriented software products. By supervising the various phases of a project such as planning, implementation, testing, and deployment, it ensures the final product meets the desired objectives. Without capable project management, the development teams may run the risk of pursuing inappropriate project goals.
Artificial Intelligence has been one of the hottest topics in the field of technology in the past couple of years. The debate has been centered on its usability and the type of benefits it can offer. It’s a known fact that the big players such as Amazon and Microsoft have already invested substantially in developing the technology.
However, what needs to be seen, if these benefits could also help small and medium-sized businesses (SMBs). Discussed below are some of the areas in which small businesses could benefit from AI.