The exponential growth of software is here to stay, and the year 2020 will not be any different. The forthcoming year is anticipated to witness a few software testing trends to garner a great deal of user attention and help different organizations stay competitive. Let us dig into these software testing trends which are most likely to define the year 2020. Have a look:
- The Necessity of Testing Big Data
Since the passage of time, data and data analytics has gained huge momentum in a variety of fields including healthcare, telecom, retail, banking, and the likes. There has been a lot of emphasis on the way the data are segmented and optimized for making decisions. Testing of big data is not an uncommon phenomenon and it’s expected to grow exponentially in the upcoming days. The trend of big data testing has been fueled mainly because of the robust processes that most of the enterprises are following to churn out the best of marketing strategies. Acknowledging this fact, we must claim that the need for testing big data applications will witness a new rise in 2020.
As the market for the Insurance Industry grows, a vigorous revitalization of the system is essential, so as to be able to cater to the evolved needs of the clients. The emergence of new businesses offering non-traditional services in the field is forcing the prevalent big players to rethink their strategies and adopt other novel technologies to keep their heads above the water; the appearance of revolutionary technology itself, such as blockchain, is another game-changing factor for the Industry. Expectations are at an all-time high, with an overhauled market structure; the revamped consumer base expects nothing less than the online Four Seasons experience that they are used to from Amazon & other online giants.
Here are a few trends that are expected to take over the Insurance Industry in the next few years:
With the start of the era of technology, we have seen people more concerned about their image in various social media platforms more than their real-life image. People spend a considerable amount of time in these environments playing around with new combinations and trends to climb the social ladder within this artificial society. Through this platform, people have reached out to the masses and educated millions on many different subjects. Some of this “education” might have created a row in society but most of these “influential people” have created a better world by spreading information amongst people.
One of the best ways these people get their recognition over the internet is by making a stellar profile on Instagram. To do this they need to design their profile at par with common trends to please the masses and in the process be recognized by millions. Here are the top trends that you can watch out for on Instagram:
One very special type of technology that is growing rapidly nowadays is Blockchain. Despite being practically non-existent to the common public it has grown at a steady rate for the few years and its impact has been tremendously high especially in the business department. So many companies depend on blockchain currency for their monetary transaction and the collapse of this particular technology might result in the collapse of their entire business. More and more companies are migrating towards blockchain nowadays to carry out even their basic business transactions. As it is more reliable and secure, it is also much more logical to use this piece of technology to carry out your business nowadays. Some people may find it hard to work with it as they don’t really understand the entire concept of it but most people don’t know how the Internet works but it does not stop them from using it every day.
Small businesses or start-ups that have entered into this world of hyper transactions can benefit greatly from blockchain and here are some of the ways it would be beneficial to them:
Even though cats and dogs are different animals, what is the point of distinction between them? You might term the ability to distinguish between a cat and a dog to be common sense, but it is described as deep learning. People are not programmed to recognize different attributes in an object by inputting external information. These capabilities are inherent and cannot be induced through external stimuli, and thus are unnoticeable for us humans.
Computers, on the other hand, need gradual feeding- in the form of deterministic algorithms- to detect even the most simple judgments. Despite the surge in machine learning and connectivity, a computer cannot do what a toddler does unintentionally. The following are the developments in deep learning:
- Over the past six years, deep learning, which is a branch of artificial intelligence, has made tremendous progress, taking inspiration from the neural networks of the human brain. Facebook’s AI lab has built a system that can answer basic questions, to which it has never been exposed to. Amazon’s smart speaker, Echo uses deep learning as well. And three years back, Microsoft’s chief research officer took everyone by surprise at a lecture in China where the machine used deep learning to translate his English into Mandarin with the output in his own voice and an error rate of only 7%. Continue reading
In modern world cinematography, continuity of scenes is really important giving a flow to the ongoing story and making it a visually enchanting experience for the viewers. This is a process of film transition making it necessary for the better understanding and to join the film parts, elements by elements for giving continuity to the sequences taking place in the film. Until and unless we have a good ongoing process of invisible cuts, it wouldn’t provide for an eye-catching and professional experience for the viewers.
There are generally random shot footages which are attached one by one with different effects of sounds and other effects to make it more embellishing and appealing for the viewers. There are various other effects added to this process like subtitling, 2D and 3D effect, general noise reduction, among others to give it a more realistic view. There are different software required for this process and recently many award-winning short films and feature-films have been using better software to give that special effect to each scene.
The emergence of technology has enabled businesses to attain new pinnacles of providing better services to customers. We utilize technology in every aspect of a business from understanding the need for a service to delivering one. Recently, the significance of customer feedback has increased as companies are bound to offer the best of services at reasonable prices, thanks to the cut-throat competition in the market. And customer feedback works wonders to survive that competition.
Therefore, the focus shifts towards the aptest medium of interacting with customers. And that is Contact Centers. However, Contact Centers also play a major role in acquiring new customers. Now, while reading the name, one cannot paint a picture beyond a call center where employees receive calls from customers. Which is true but we must look at the bigger picture. Bygone are the days when contact centers were limited to just one type of medium through which they could reach customers.
The real estate industry is one of those in which the buyer has to make the purchase even before he receives the final product. Therefore it is very important for the seller to seal the deal with a convincing prototype model. However, it has been a long journey for the industry to perfect the sample design for their customers. From blueprints of the design to 3D models to the original sample house, everything has been shown and done to help the customer imagine the final project. However, there is always room for improvement.
The introduction of Virtual Reality (VR) into the world of real estate has brought numerous opportunities for the sector. To start with, it resolves the issues regarding property visits. It is a time-consuming process to visit multiple properties before making a choice. However, one cannot take any decision without being completely sure, making the tiring task mandatory. Using virtual reality, buyers can visit the property sitting at their homes by just putting on the VR headsets. This saves a lot of time for the seller as well.
Can you imagine registering your name, phone number, email, and address every time you order anything online? Me neither. No matter how big the online market gets, it can’t grow longer without customer data. Forget the online market, huge brands that are dependent on the bricks and mortar model are also updating their methods of collecting and storing customer data in order to offer them a better experience. In which case it shouldn’t be overemphasizing to say that Customer Data Management has grown to become one of the most important tools for businesses in the present time.
But how can managing the information of your customer be so important? Take the example of a company that has recently acquired a new customer. However, the digital marketing team of that company isn’t aware of this acquisition and is still approaching the same customer via text and email. This isn’t just a waste of resources but also a threat to the customer experience. Having your database managed by a customer data management system makes the process of acquiring and retaining customer efficient. It also helps in understanding the needs of customers and deliver a better quality of products and services by analyzing the feedbacks which leads to higher sales numbers.
We live in an era where businesses are driven by the force called data. With the help of the same, enterprises are able to efficiently acquire potential customers and sustain the existing ones as well. It can also be used to understand what customers need in a product or a service which leads to a satisfied base of customers with exemplary solutions and optimization of available resources. Now, one might ask, how can random facts and figures avail enterprises such significant insights? The answer to that is data analysis.
There are numerous methods of analyzing data and the most popular among them are Statistics and Machine learning. Both the terms are often considered as one and the same but in reality, even though their purpose is the same, their use cases are different. Statistics is the science of classifying and analyzing data by using mathematical equations. On the other hand, Machine Learning is one of the applications of Artificial Intelligence which enables the system to learn on itself with the use of data. While Statistics is used to collect, analyze, summarize, represent, and organize the data and transform it into useful insights, Machine Learning uses data to learn, predict, and enable the system to perform cognitive tasks in an unsupervised setting.