Prograils

We are Development and Consulting Company.

4.42/5 (3 Reviews)
Hello, we are Prograils: Software Development and Consulting Company. We deliver bespoke, perfectly crafted web and mobile apps for individual needs. In other words? The things we do best: Ruby on Rails, Elixir, Android and iOS. We’re big enough to offer you stab...
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$50 - $99/hr
10 - 49
2012
Poland
Prograils
We are Development and Consulting Company.
4.42/5 (3 Reviews)
Video contents are impressive, indeed. From an audience’s point of view, sometimes they are much better than the highly elaborated texts available at a business site, magazine, or portal. Today, video contents are much used in the enterprise firms in the form of employee-generated content, video conferencing, on-demand training, and company events coverage, etc. Technology world has introduced appropriate systems for enterprise video content management to manage and facilitate the delivery of endless videos across World Wide Web. Live videos promote better collaboration among teams from different parts of the world and reduce travel cost. A video CMS is capable of enabling an organization to manage, centralize, and deliver videos online. GlobalNewsWire reports have suggested that the enterprise video content management market is likely to touch $13.3 billion by the year 2022. Let us review some of the benefits of an enterprise video content management system, before checking out the feasible options available online: 1. A video CMS can support sizeable high-definition video files in comparison to spreadsheets, word documents, and other office documents. The default video file size is up to 50 MB. 2. A video CMS searches for the actual content of your videos, unlike the standard CMS and LMS systems that only search based on the file names and manually entered metadata. Video CMSs can search inside videos for specific words that are displayed on-screen or spoken during the video. Then, it fast-forwards the viewer to that exact point in the video presentation. 3. A video CMS doesn’t just host your videos but also checks if they are compatible with the devices accessing them. For example, a WebEx-based video, when stored on a SharePoint site in its default ARF format, cannot be viewed on smartphones or tablets. Video CMSs solves this issue to a greater extent. Now, let us check out some of the top-rated Enterprise Video Content Management Software Systems that are mostly preferred by the businesses today: 1. Vidizmo Vidizmo is a Microsoft partner and is compatible with all Microsoft Azure, Microsoft enterprise products and platforms, and Azure Government cloud. It is a scalable, comprehensive, and best-in-class video streaming and content management platform for corporate communication, training, learning, sales, and marketing. It empowers your audiovisual content with AI and consolidates your company’s all media in one enterprise video platform. Features: · Embedded HTML5 video player, live and on-demand streaming, and global & enterprise CDN. · Full branding, white-label option, and social media sharing. · 100% in-the-Cloud and Hybrid Models. · The free trial is available for 30 days, and pricing is given on request. 2. Brightcove Brightcove offers a cost-effective, flexible, and secure enterprise video suite for internal video communication, enterprise live video streaming and employee video training. URL tokenization, single sign-on (SSO), and IP restriction are some of the essential security features associated with Brightcove. Features: · Publish and share video enterprise-wide. · Count on absolute video security. · Deliver the best video experience with the least network impact. · Measure your business impact using video analytics. 3. Kaltura Kaltura is an open, flexible, and collaborative video platform in the market. It caters to any video use case and helps to democratize media to make it accessible and impactful for various organizations and people around the world. It offers live and on-demand video SaaS solutions to thousands of organizations around the globe to engage millions of viewers at work, at home, and school. Features: · Manage and publish your media through one intuitive interface. · Enterprise content management video plugins, to make video a native data type within your CMS. · Enterprise Social Business Video Suite makes you seamlessly add video capabilities to your social business platform. · Kaltura’s video platform is named ‘leader’ in Gartner Magic Enterprise Video Content Management 2016. 4. Panopto Panopto video platform was established in 2007 to address the needs of businesses and universities. It has proved to be the most accessible platform to record, live stream, manage, and share videos across an organization. It can professionally capture demos, presentations, classes, and events. Panopto is a leading video content management system that stores and manages your videos securely in the cloud or on-premise. Features: · Best video search support facility. · Secure sign-ons (SSO) and user-level permissions. · Converting videos again is more comfortable using this software. The software automatically transcodes every recording so it can be shared and played with anyone and on any device. · It supports all formats such as AVI, MP4, MPG, WMV, MOV, QT, ASF, 3GP, WMA, MP3, M4V, and more. 5. Vidello Established in 2017, Vidello is exceptionally good at organizing, managing, and hosting all your videos under one roof. Neatly organized project folders are made available to the users to upload and host all of your videos. Vidello’s video apps are made available to optimize your videos. Features: · Well-organized and simple video management with the facility of easy switching of videos between projects. · It is a cloud, SaaS, web-based platform that assures easy live online training and documentation. · Video streaming, video looping, brand overlay, mobile screen support, and social sharing are some essential features of the software. · The free trial is available and pricing starts at $17 per month. I hope you got convinced with the point that the compelling video content management software programs will surely benefit your enterprise, but you have to select one wisely and with a thorough research.
Video contents are impressive, indeed. From an audience’s point of view, sometimes they are much better than the highly elaborated texts available at a business site, magazine, or portal. Today, video contents are much used in the enterprise firms in the form of employee-generated content, video conferencing, on-demand training, and company events coverage, etc. Technology world has introduced appropriate systems for enterprise video content management to manage and facilitate the delivery of endless videos across World Wide Web. Live videos promote better collaboration among teams from different parts of the world and reduce travel cost. A video CMS is capable of enabling an organization to manage, centralize, and deliver videos online. GlobalNewsWire reports have suggested that the enterprise video content management market is likely to touch $13.3 billion by the year 2022. Let us review some of the benefits of an enterprise video content management system, before checking out the feasible options available online: 1. A video CMS can support sizeable high-definition video files in comparison to spreadsheets, word documents, and other office documents. The default video file size is up to 50 MB. 2. A video CMS searches for the actual content of your videos, unlike the standard CMS and LMS systems that only search based on the file names and manually entered metadata. Video CMSs can search inside videos for specific words that are displayed on-screen or spoken during the video. Then, it fast-forwards the viewer to that exact point in the video presentation. 3. A video CMS doesn’t just host your videos but also checks if they are compatible with the devices accessing them. For example, a WebEx-based video, when stored on a SharePoint site in its default ARF format, cannot be viewed on smartphones or tablets. Video CMSs solves this issue to a greater extent. Now, let us check out some of the top-rated Enterprise Video Content Management Software Systems that are mostly preferred by the businesses today: 1. Vidizmo Vidizmo is a Microsoft partner and is compatible with all Microsoft Azure, Microsoft enterprise products and platforms, and Azure Government cloud. It is a scalable, comprehensive, and best-in-class video streaming and content management platform for corporate communication, training, learning, sales, and marketing. It empowers your audiovisual content with AI and consolidates your company’s all media in one enterprise video platform. Features: · Embedded HTML5 video player, live and on-demand streaming, and global & enterprise CDN. · Full branding, white-label option, and social media sharing. · 100% in-the-Cloud and Hybrid Models. · The free trial is available for 30 days, and pricing is given on request. 2. Brightcove Brightcove offers a cost-effective, flexible, and secure enterprise video suite for internal video communication, enterprise live video streaming and employee video training. URL tokenization, single sign-on (SSO), and IP restriction are some of the essential security features associated with Brightcove. Features: · Publish and share video enterprise-wide. · Count on absolute video security. · Deliver the best video experience with the least network impact. · Measure your business impact using video analytics. 3. Kaltura Kaltura is an open, flexible, and collaborative video platform in the market. It caters to any video use case and helps to democratize media to make it accessible and impactful for various organizations and people around the world. It offers live and on-demand video SaaS solutions to thousands of organizations around the globe to engage millions of viewers at work, at home, and school. Features: · Manage and publish your media through one intuitive interface. · Enterprise content management video plugins, to make video a native data type within your CMS. · Enterprise Social Business Video Suite makes you seamlessly add video capabilities to your social business platform. · Kaltura’s video platform is named ‘leader’ in Gartner Magic Enterprise Video Content Management 2016. 4. Panopto Panopto video platform was established in 2007 to address the needs of businesses and universities. It has proved to be the most accessible platform to record, live stream, manage, and share videos across an organization. It can professionally capture demos, presentations, classes, and events. Panopto is a leading video content management system that stores and manages your videos securely in the cloud or on-premise. Features: · Best video search support facility. · Secure sign-ons (SSO) and user-level permissions. · Converting videos again is more comfortable using this software. The software automatically transcodes every recording so it can be shared and played with anyone and on any device. · It supports all formats such as AVI, MP4, MPG, WMV, MOV, QT, ASF, 3GP, WMA, MP3, M4V, and more. 5. Vidello Established in 2017, Vidello is exceptionally good at organizing, managing, and hosting all your videos under one roof. Neatly organized project folders are made available to the users to upload and host all of your videos. Vidello’s video apps are made available to optimize your videos. Features: · Well-organized and simple video management with the facility of easy switching of videos between projects. · It is a cloud, SaaS, web-based platform that assures easy live online training and documentation. · Video streaming, video looping, brand overlay, mobile screen support, and social sharing are some essential features of the software. · The free trial is available and pricing starts at $17 per month. I hope you got convinced with the point that the compelling video content management software programs will surely benefit your enterprise, but you have to select one wisely and with a thorough research.

Video contents are impressive, indeed. From an audience’s point of view, sometimes they are much better than the highly elaborated texts available at a business site, magazine, or portal.

Today, video contents are much used in the enterprise firms in the form of employee-generated content, video conferencing, on-demand training, and company events coverage, etc. Technology world has introduced appropriate systems for enterprise video content management to manage and facilitate the delivery of endless videos across World Wide Web. Live videos promote better collaboration among teams from different parts of the world and reduce travel cost. A video CMS is capable of enabling an organization to manage, centralize, and deliver videos online. GlobalNewsWire reports have suggested that the enterprise video content management market is likely to touch $13.3 billion by the year 2022.

Let us review some of the benefits of an enterprise video content management system, before checking out the feasible options available online:

1. A video CMS can support sizeable high-definition video files in comparison to spreadsheets, word documents, and other office documents. The default video file size is up to 50 MB.

2. A video CMS searches for the actual content of your videos, unlike the standard CMS and LMS systems that only search based on the file names and manually entered metadata. Video CMSs can search inside videos for specific words that are displayed on-screen or spoken during the video. Then, it fast-forwards the viewer to that exact point in the video presentation.

3. A video CMS doesn’t just host your videos but also checks if they are compatible with the devices accessing them. For example, a WebEx-based video, when stored on a SharePoint site in its default ARF format, cannot be viewed on smartphones or tablets. Video CMSs solves this issue to a greater extent.

Now, let us check out some of the top-rated Enterprise Video Content Management Software Systems that are mostly preferred by the businesses today:

1. Vidizmo

Vidizmo is a Microsoft partner and is compatible with all Microsoft Azure, Microsoft enterprise products and platforms, and Azure Government cloud. It is a scalable, comprehensive, and best-in-class video streaming and content management platform for corporate communication, training, learning, sales, and marketing. It empowers your audiovisual content with AI and consolidates your company’s all media in one enterprise video platform.

Features:

· Embedded HTML5 video player, live and on-demand streaming, and global & enterprise CDN.

· Full branding, white-label option, and social media sharing.

· 100% in-the-Cloud and Hybrid Models.

· The free trial is available for 30 days, and pricing is given on request.

2. Brightcove

Brightcove offers a cost-effective, flexible, and secure enterprise video suite for internal video communication, enterprise live video streaming and employee video training. URL tokenization, single sign-on (SSO), and IP restriction are some of the essential security features associated with Brightcove.

Features:

· Publish and share video enterprise-wide.

· Count on absolute video security.

· Deliver the best video experience with the least network impact.

· Measure your business impact using video analytics.

3. Kaltura

Kaltura is an open, flexible, and collaborative video platform in the market. It caters to any video use case and helps to democratize media to make it accessible and impactful for various organizations and people around the world. It offers live and on-demand video SaaS solutions to thousands of organizations around the globe to engage millions of viewers at work, at home, and school.

Features:

· Manage and publish your media through one intuitive interface.

· Enterprise content management video plugins, to make video a native data type within your CMS.

· Enterprise Social Business Video Suite makes you seamlessly add video capabilities to your social business platform.

· Kaltura’s video platform is named ‘leader’ in Gartner Magic Enterprise Video Content Management 2016.

4. Panopto

Panopto video platform was established in 2007 to address the needs of businesses and universities. It has proved to be the most accessible platform to record, live stream, manage, and share videos across an organization. It can professionally capture demos, presentations, classes, and events. Panopto is a leading video content management system that stores and manages your videos securely in the cloud or on-premise.

Features:

· Best video search support facility.

· Secure sign-ons (SSO) and user-level permissions.

· Converting videos again is more comfortable using this software. The software automatically transcodes every recording so it can be shared and played with anyone and on any device.

· It supports all formats such as AVI, MP4, MPG, WMV, MOV, QT, ASF, 3GP, WMA, MP3, M4V, and more.

5. Vidello

Established in 2017, Vidello is exceptionally good at organizing, managing, and hosting all your videos under one roof. Neatly organized project folders are made available to the users to upload and host all of your videos. Vidello’s video apps are made available to optimize your videos.

Features:

· Well-organized and simple video management with the facility of easy switching of videos between projects.

· It is a cloud, SaaS, web-based platform that assures easy live online training and documentation.

· Video streaming, video looping, brand overlay, mobile screen support, and social sharing are some essential features of the software.

· The free trial is available and pricing starts at $17 per month.

I hope you got convinced with the point that the compelling video content management software programs will surely benefit your enterprise, but you have to select one wisely and with a thorough research.

Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish. Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence. 1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable. 2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated. 3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning. 4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction. 5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible. Conclusion: If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications. So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.
Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish. Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence. 1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable. 2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated. 3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning. 4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction. 5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible. Conclusion: If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications. So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.

Artificial Intelligence or AI is no longer a ‘sci-fi thing’ as it is already adopted by various industries. It is a set of technologies that makes machines smarter over time. It basically makes the computers think intelligently, especially when you are working on a new artificial intelligence project that needs a critical branch of engineering to accomplish.

Surprising is to see different kinds of languages, tools and methods used for developing classy AI programs and interesting it is to know about them, indeed. So, let’s have a glance over them to know how they contribute to the exceptional AI programs and what their role is to the world of artificial intelligence.

1. Python:Python contains simple syntaxes and easy to implement AI. It does not take much of your development time in comparison to C++, Ruby, or Java. The best thing of using Python is that it supports functional, object-oriented, and procedure-oriented styles of programming. It facilitates plenty of libraries to make our tasks more manageable.

2. Java: One of the right choices for AI development, Java has to do a lot with artificial neural networks, algorithms, and genetic programming. It offers many benefits like easy usage, package services, debugging ease, simplified work with large-scale projects, user interaction, and better graphical representation of data. It also incorporates Swing and SWT (the Standard Widget Toolkit) to make graphics and interfaces look appealing and sophisticated.

3. R: R offers the most effective production to analyze and manipulate data for statistical usages. It lets you create a well-designed and quality-based publication inclusive of formulas and mathematical symbols. Other than its general usage, R language also offers numerous packages like Gmodels, RODBC, Class, and Tm that are basically the part of machine learning.

4. Lisp: Lisp is regarded as the most suitable language for developing AI-based programs like DART, CYC, and Macsyma. It processes the symbolic information effectively and is also known best for the easy dynamic creation of the new objects and excellent prototyping capabilities with automatic garbage collection. The excellent features this language contains make it most useful for the AI programs. It contains the macro system that enables the developers to develop a domain-specific level of abstraction.

5. Prolog: Alongside Lisp, Prolog is another most used language to build AI projects, especially medical-related projects. Automatic backtracking, tree-based data structuring, and efficient pattern-matching are some of the important features of Prolog that makes the AI programming framework extremely powerful and flexible.

Conclusion:

If you go into details, you will get to know that all languages have different features to create diversified programs. As per my personal opinion, the cost of Lisp-based development is higher and so the demand for Lisp experts is limited in the market. But you cannot ignore Python as well when you are developing the Machine Learning projects, as it is extensively used in the ML sphere. Similarly, Java is better than Python to develop games, and desktop & mobile applications.

So, all languages have their own importance and usage depending upon the type of AI project wherein they are going to be used.

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Contact information
pl
Prograils
Sczanieckiej 9a/10, Poznań, 60-215, PL, Komorniki, Poznan 60-215
Poland
+48 608 310 149
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