Why You Should Always Use Special Effects for Video Productions


31 March 2018

Dev & Design

Special effects don’t necessarily have to express over the top scenarios, like explosions or fantasy lands. In fact, special effects are just some visual tricks to simulate imagined scenarios that would be impossible to recreate in real life. These visual effects are powerful storytelling tools that will help your audience imagine themselves as part of your story. While these effects are commonly used in movies and commercials, they can be used in any type of video, from a creative tutorial to a plain vlog. Here are some of the major advantaged of using special effects in your videos:

They are versatile :

As we already said, special effects can be so much more than just explosions and fantasy worlds. They are simply a tool through which you can express your most creative thoughts and stories. You can use them to simply stylize a basic video to increase its graphics quality, you can use them in live-action videos to cut down on some production costs, or you can create animations from scratch in order to tell a story in a unique way. However, the trick is to create professional-looking visual effects in order to properly transmit your message. If you don’t know much about special effects, we advise you to work with a team of professionals such as Augustus Films, the best VFX Company in Los Angeles. They have experience with a wide range of video projects, from commercials for local companies to independent movie productions.

They are entertaining :

For marketers, the internet is a constant battle for attention. Every piece of content that gets posted online must battle dozens if not thousands of other pieces of content within the same area of interest. Using visual effects is a great way to make your videos stand out from the crowd and gain the undivided attention of your audience. Even a seemingly unattractive subject can become entertaining with the right use of visual effects or animations. Moreover, animations are particularly useful at putting audiences at ease, due to the fact that they are associated with the childhood period.

They are memorable :

Did you know that our brain is capable of processing images 60,000 times faster than it can process text? Moreover, according to recent studies, the brain is three times more likely to remember visual and verbal information, than it is to remember just verbal information. As such, presenting your story in a unique visual manner is a great way to make sure that you will have an impact on your audience and that your message will be easily remembered. However, to achieve this, try not to use special effects just for the sake of saving money. People have seen dozens of explosions in movies, but you will certainly be memorable if you show them a unique, artistic explosion that will leave them speechless.

They give you more creative freedom :

While you can tell a good story with just words or with a good picture, special effects offer you the more creative freedom to play with the details that make the difference and tell a story that will really captivate your audience. Don’t waste your time tricking your audience into imagining a fantasy scenario, but let them see it with their own ideas. Transport them into your world and make them feel like they are a part of your world.

They create visual fluidity :

When the story that you tell doesn’t match the images in your video, you are causing a visual discrepancy, which your audience will certainly not appreciate. You can’t make a fantasy movie in an urban background and you can’t have actors pretending to fight in slow motion. Moreover, it will be next to impossible to materialize your ideas and turn them into a believable video, without any digital tricks. Speaking of believability, the quality of the video effects that you use will have a strong impact on how believable your story or your message will be, so make sure to only work with professionals.

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I enjoy writing and I write quality guest posts on topics of my interest and passion. I have been doing this since my college days. My special interests are in health, fitness, food and following the latest trends in these areas. I am an editor at Content Rally.

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Python Made Machine Learning

How Have Python Made Machine Learning Convenient?

In the world of software development, Machine Learning also known as ML and Python are the two most popular terms that are in the current craze. Python is a high-level software programming language that has become the underlying base of many famous applications like Nextdoor, Instagram, etc. Machine Learning is a very important part of Artificial Intelligence (AI). Both of them target towards improving the many aspects of computer applications in their own different ways. Python is a programming language that is extremely easy to understand because of its simple syntax structure. As a result, developing the applications becomes a quite easy and simple yet strong framework. Machine Learning, on the other hand, helps an application to self-improvement without any prior programming. Integration of Python with Machine Learning has offered a number of benefits to the candidates because of which, candidates are able to work in this field more conveniently and efficiently. In order to understand how Python has made things convenient for the individuals, it is important to understand the various facilities of machine learning with Python. How Have Python Made Machine Learning Convenient? Ease of Understanding: As discussed above Python is one of the simplest forms of programming applications. Since, Machine Learning consists of complex algorithms, having one easy language to form the structure increases the code readability and decreases its maintenance. Vast Libraries: The huge volume of libraries that are available in Python for Machine Learning’s disposal is simply amazing. Some of the famous libraries are Numpy and SciPy for respectively for scientific computation and advanced ones. Data Analysis and Mining heavily rely on SciKit- learn. One framework named PyTorch is specially developed for Machine Learning. Other popular frameworks include Apache Spark, CNTK, TensorFlow, etc. Better quality output: Python is easy to understand and develop leaves the developers with plenty of time to increase the quality of Machine Learning application. The trial and error time on the complex algorithms is much less thereby providing plenty of space for improvement. The result of such an effort is usually very satisfying providing the end user with a pleasant experience. Extensive Support: The community of Python and Machine Learning Developers is ever increasing. In case, one stumbles in any area for their development, there is a horde of solutions available that are provided by the members of this huge community. Help is just a click away for any issues that one encounters during the course of development Flexibility: The flexibility the Python provides in developing frameworks for Machine Language is just amazing. The numerous approaches that can be used in development are lucrative for the designers and the developers. Linking data is altogether quite different becomes very easy for Python based Machine Learning frameworks. Name and Fame: The popularity of Machine Learning with Python base is on high demand. As a result, more and more people are inclining to learn and use the combinations. Therefore, it is easy to get such trained individuals in the market and get the job done. Higher Career Opportunities: In the hindsight of the previous discussion, more and more companies and organization are changing their base towards Python based Machine Learning frameworks. Therefore, job opportunities are increasing. This results in getting better jobs where the pay is extremely good and rewarding. Fewer Trials and Tribulations: Since Python has such a huge number of libraries, there is no practical need to compile the language in the instructions of the Machine Learning beforehand. It can be directly used in the program. Needless to mention, it saves time and effort which the two essential factors in any development and delivery. Cost Saving: It is a known fact that Python is an open source language that can be used freely in the system without any licenses. This aspect saves a huge amount of money that is otherwise spent on licensing fees across numerous platforms. The cost saving is immense which increases the budget of the project thereby increasing the quality in general. Dynamic Support: Machine Learning is a fast-paced framework that needs dynamic support. There are very less number of high-level programming languages in the current market that can provide such support, except that of python. Platform That Is Quite Independent: The flexibility that Python provides urges the developer to use it in any Machine Learning platform. This independence of platform that can be seen in the case of Python is making it extremely handy for a Machine Learning project that leads to successful development. Statistical Modeling: The model that can be used to develop a Machine Learning framework can be many. Python helps to create statistical modeling for the Machine Learning that is easy to comprehend and maintain. Data Set Maintenance: The first step towards developing a successful Machine Learning framework is to maintain a strong data set. Data set can be defined as a collection of information that the Machine Learning uses to enrich its algorithms. Using Python to set up the data set for Machine Learning is extremely easy and hassle-free. No Learning Hassles: As previously mentioned Python is easy to understand. This causes no learning hassles for individuals. Therefore, creating able developers with Python knowledge for Machine Learning frameworks becomes quite easy and less time-consuming. Easy Transition in Research: The machine learning frameworks that are primarily developed for the research projects rely heavily on Python as their base. Research projects related to pattern recognition or data analysis do not have enough time or budget for complex development languages. In such scenarios, Python provides the best solution with its ease of understanding and easy comprehensiveness. Customization Is Quite Convenient: Python’s flexibility with its easy to understand programming syntax and platform independence actually helps it to be customized to any need. A solution fits in all the needs and requirements without much hassle. Highly Adaptable In Nature: Python is a programming language that is quite easy to comprehend. The range of its comprehension is on a global scale. Even a fourteen-year-old kid would be able to understand and code in Python. This aspect increases its adaptability in the numerous Machine Learning platforms that are widely used across various areas. No Space Crunch: Machine Learning is all about efficient data handling and the way an application with the use of available data can do a better performance without any human intervention. This requires a lot of server space to load various kinds of data to feed into the respective algorithms. Python’s easy code requires much less space as compared to others. Therefore, it saves precious server space to accommodate more data thereby increasing the Machine Learning performance. Conclusion: The rising popularity wave of Python and Machine Learning will not go away that easily. Therefore, it is high time that both these aspects should be learned and implemented. Learning them would open different doors for numerous opportunities. Python because of its easy comprehensiveness will be the only weapon to code Machine Learning in the near future. It is always advised to future ready with an enhanced skill set. Machine Learning will slowly have a huge impact on the world we live in. Understanding and controlling machine learning would be the only way to survive in the cutthroat competition. Using the weapon of python one should start conquering the area of Machine Learning. It is the best buddy that developers want to be friends. The benefits would be extremely rewarding when one integrates the programming language of Python with the various aspects of Machine Learning framework. Read Also: How Developers Can Get More Out Of Hadoop? Kids Will Get These Benefits If They Learn Coding New Platforms To Explore In Advertising This Year 5 Things To Take Into Account To Hire Custom Software Development Services Coming Soon: A New Tech Challenge For Lenders – UMDP Data Standardization To Aid Closing

UX Design

Simplifying Finance: The Role Of UX Design In Financial Services

Exposure to financial services in this busy economic market is sky-high. However, not every financial service is up to the mark with its customer-centric approaches. In turn, FinTech is the next big thing in the financial world. Digital platforms are engaged in interacting and perceiving with the users. The innovative capabilities of FinTech applications largely determine user experience (UX). To make financial services more accessible and approachable to users, ux design financial services are far better than traditional complex financial services. The world of digital finance might seem intimidating to many for its complex terminology and lengthy processes. Moreover, a lack of customer-centricity is the main concern for many while dealing with the complex economic market. Simplifying finance is best possible through “Humanizing FinTech,” which is largely convinced with UX design. What is UX design? Well, at the core, the main terminology here is to define an intuitive design to embrace a better user experience and bridge the gap between financial services and users. Prominent Roles Of Ux Design In Financial Services The pivotal experience of financial service should be ecstatic for the users. It cannot be complex and boring. Financial aspects are already boring, and things need to be easy with digitalization. So, FinTech, through UX designs, can be more accessible and engaging for the users. Every financial sector is trying to solve the users' problems and manage the people's concern. Apart from that, a financial service cannot be vulnerable to its security aspects. However, the best part is that UX designs can provide you with a streamlined process to simplify financial services and engage better digital finance to ensure security while bridging the services gap with users. Bridge The Gap One of the main roles of UX design is to eliminate the gaps between user understanding and financial services. UX designers want users to understand the financial concepts and also become intuitive to the processes. What do you want? A boring spreadsheet? Or a colorful graph with pie charts? No one wants a boring data sheet that is complex to navigate and also not eye soothing. In contrast, UX designers help accomplish financial tasks quite easily for any user. For instance, transferring funds, managing insurance policies, and considering stocks are different financial services, but UX designs make it all easy for you to understand and navigate. No one wants to increase their learning curves while using financial services. Common people do not use complex financial data. They are unaware of the critical financial exposures but need to manage their finances instead. So, if you are using an app, you would like to get some attractive features that are easy to understand and ready to help you with colorful approaches. Well, demystifying complex financial data and presenting it easily to the users is the foremost priority of a UX designer. Focusing On User Trust And Security The role of UX design in financial applications is fostering customer loyalty and creating a positive user experience. However, gaining the audience's or users' trust in the FinTech industry is quite tough. Well, a streamlined process is the only solution to generate an intuitive design for a better user experience. However, it does mean anything to gain the trust of the users. If you want to trust them, you must focus on creating a better security process. For instance, if you use a biometric authentication process like facial recognition or fingerprint scanner, it can generate a better user experience. These are the ultimate solutions to present a user-friendly approach in advanced ways to engage people in a non-intrusive way. Reinforcing the trust of the people is best possible with UX designs like encrypted notifications and secure connections. So, it is time for you to foster user experience and gain their trust. Streamlining The Complex Financial Process The biggest role of UX design is to transform the traditional banking process into a digital landing platform. Well, what are the features of the traditional banking process? Lots of paperwork. Lack of transparency. Lengthy approval times. However, with digitalization, things are changing. Financial sectors are becoming more and more efficient in dealing with the instances of consumers and getting friendly. This is where digital landing platforms efficiently manage your concern with various features. Real-time updates. Time efficient services. Ensures transparency. The whole approach of UX design is to provide you better user experience by analyzing the streamlining process. So, now the loan approvals will be quick through digital applications, and you will also get the best seamless experience. Engaging User Satisfaction The difference between UX designers and graphic designers is that UX designers follow a user-focused and multidisciplinary approach. In contrast, Graphic designers maintain the curves with specialized pixel-focused consequences. Apart from that, emotional design, creative thinking, and prototyping are the common responsibilities of these designers. It is hard to believe that 90% of people stop using an app due to poor performance. So, a positive user experience with better quality and usability is expected. Enhanced user satisfaction with customization may increase the retention rate for a financial service. For instance, if you are using a banking app, you would like to check your account balance or transact money quickly. Now if it has an easy-to-use interface and you can work on it quickly, then you would like to keep the app on your phone. Digital financial services are difficult to avoid in this fast-paced world but also cumbersome to use in many cases. Finding a better UX-designed financial service is always a better resolution to avoid inconsistency and engage proximity. Read Also: Guide to Hiring a WordPress Developer 7 Advantages of Using Website Design Templates Why Prototype Design Is A Way To Make Your UX Design Perfect

Software development

Software Development Team

The development of any intellectual product is initially aimed at success in its implementation. In this regard, it is extremely important to ensure the proper quality of the software, application, or another result of the work. A properly selected Software development team is several professionals who can organize the work of creating software in a short time and at minimal cost to the investor, and also guarantee the relevance of the product. How to choose the correct development team? The level of professional training and work experience of specialists involved in the development of an intellectual product depends on the complexity of the work, as well as on the budget of the investor. Among all specialists actively offering their services on the market, development companies choose the following team members: 1. Universal specialists In the labor and services market, you can meet craftsmen who position themselves as highly qualified specialists who can solve any issues. As a rule, these people have extensive experience and knowledge in the matter under consideration. They can easily handle the development of a simple application. At the same time, when creating complex software, you will need deeper knowledge that generalists don’t possess. 2. Profile specialists These team members can be designers, programmers, content managers, or just engineers. They have the appropriate education and have extensive knowledge and experience in some competitive fields. They require the expert opinion, as well as full management of a specific part of the project, well-coordinated work in a team, and timely transfer of data and development results to related specialists. 3. Combined team Recruited to create the most complex applications or software. The team includes both generalists and specialized specialists. When developing an intellectual product, a horizontal control system is used. Each member of the team reports directly to the top management. When developing software, the worthwhile ideas of each employee are taken into account, and cross-checking is also provided. This project management technique is considered the most effective, as it allows you to minimize costs and achieve the expected results. Market experts and representatives of large IT companies recommend that when recruiting a team for a development team, ensure an approximately equal balance of generalists and specialized specialists. Moreover, each team must have either an official or an informal leader, who will be able to coordinate all tasks between other members of the collective. How to determine the optimal number of team members? There should be exactly enough team members to ensure the implementation of the project and the fulfillment of the technical task from the customer with the utmost accuracy, strictly on time. The following important factors influence the team size: The complexity of the task. The uniqueness of the development. Deadlines, defined by the customer and technical restrictions. The allocated budget for the implementation of the project by the investor. Provided resources to complete the task. In practice, to develop primitive software, no more than 2 – 4 people will be required. if it is necessary to implement a project of increased complexity, 7 or more team members may be required. What are the functions of team members? Most often, members of a pre-selected team perform the following roles in the development of a smart product: The key link is the investor or the customer of software development. It is he who provides information about what the final product should look like. Managing person – a team member who has experience in project management. He coordinates all specialists, combines ideas, draws up calendar schedules, conducts meetings, and issues final or intermediate results to the customer. The software architect is the most important specialized or generalist specialist. It provides the primary implementation of the general idea in strict accordance with the terms of reference. Subsequently, such a person is an assistant to the head, and he is sent for verification, as well as the assembly of all the developments of the work of the entire team. Engineers and ordinary developers – there may be several such members in the team. They are responsible for product development and software uptime. Designers – the area of responsibility of these specialists includes the design of attractive templates for users, as well as interfaces. Their work is related to how the product will be perceived by the end consumer. The main task of the designer is to create an easy-to-use and attractive product that will attract the interest of as many users as possible. The controller is a quality control engineer or an audit specialist. It checks the operability of the product, the compliance of the developments with the technical task, and also ensures the elimination of errors, which helps to improve the quality of the software. Analyst – a person who works in a team as an expert. He owns the needs of the market, as well as the industry for which the application is being developed. The demand for the software depends on this person, as well as its competitiveness, in comparison with other similar programs. Regardless of the assigned functions, the main degree of responsibility of the leader is to maintain a healthy spirit and friendly relations in the team. All team members should periodically come together for an online or face-to-face briefing, share results and problems. Upon discovering the first difficulties, each of the developers must notify all other team members about this. A focus on results is the main key to success. Requirements for the team in software development To achieve positive results, each team member must obey the internal regulations and follow the following important rules: Communication is carried out only in real-time, without delay in responding to a question or a task. All issues should be put up for public discussion – the principle of business transparency. All team members must trust each other. Each team member performs only their function. The composition of the team remains unchanged until the completion of development. In the collegiate discussion of questions, all of them are reflected on the board. Despite the above principles and examples, there is no single formula for creating an effective team in practice. To create a team, it is recommended to contact experts or recruitment agencies, and if the company already has the personnel, it is recommended to select developers not only according to the criteria of knowledge and experience but also according to the principle of psychological compatibility. An effective result is achieved only with a healthy spirit in the team and a competent distribution of tasks. Read Also: The Benefits Of Custom Software Development Ecommerce Software Development Trends Industrial Automation Software Development Big data software development services