Ruby On Rails Development - A Web Application Framework That Includes Everything

Ruby on Rails - A complete Web Development Application 

Ruby on Rails Development is often considered as a complete web development application due to its strong MVC framework, flawless mobile development features and open source framework. Rails as it is famously called, is the technology used for popular websites like Twitter, Shopify, Github and more. In fact, software experts unanimously agree that Ruby on Rails web development is foolproof and evolved when compared to other technologies.

Why Ruby On Rails Is A Complete Web Development Application? Find Here!

The MVC architecture: By separating the UI with the internal logic of an application, MVC model pushes quick web development. It helps in developing fast loading, SEO friendly applications with default structures for database, UI and web services. This takes away the redundancy of web development process making things faster and easy to modify. 

Incorporates standardized software engineering patterns: Some of the most renowned patterns found in ruby on rails development company are Convention over Configuration (CoC), Don’t Repeat Yourself (DRY) and Active Record Pattern. These are the highlights of Ruby on Rails development. These paradigms simplify web development by minimizing code. 

Database compatibility: Ruby on Rails supports many databases like MySQL, SQL, DB2, SQL Server, and Oracle, which is an added advantage for developers who can create highly evolved, dynamic and user-friendly web and mobile applications. 

Ruby for mobile application development: RoR proves to be the best framework for mobile apps development as it offers cross platform compatibility. A Ruby on Rails mobile app can run on Android, iOS and Windows mobiles. Developers with experience in Ruby can easily understand and catch up mobile SDKs giving them an advantage of creating flawless mobile apps. With the help of IronRuby, JRuby and MacRuby, Rails can be utilized for all kinds of mobile application development. 

Agile development: The MVC architecture makes Rails an agile web development platform. All the three layers can be developed separately and then connected to form a unique application. In addition, Ruby does not require you to write long lines of code in order to make a feature rich application. This method is far more popular amongst developers who like the freedom that Rails offers. 

High demand: Ruby on Rails is considered as an ideal web development technology. Millions of websites are developed on this platform that also facilitates Cloud integration. The actual figure crosses the 1.2 million mark, which clearly suggests the popularity of Ruby on Rails web development. When you want a secure web development platform that safe-keeps you data then Rails is the answer.  

Image source: https://trends.builtwith.com

If you want to hire Ruby on Rails developers and create a high performing website or mobile site then BoTree Technologies is the first name to reckon with. We offer peerless Ruby on Rails development services with absolute guarantee of customized work. You can find the best Rails developers that offer finesse of development to all our projects. 

For consultation, queries or meetings, feel free to give us a shout!!

The Difference between Robotic Process Automation (RPA) and AI

Listed below are use instances of Artificial Intelligence in activity for transformation that is Electronic - Fraud, spam, and safety dangers Digital transformation is dependent upon you can attain the desired benefits and the truth of one's trades. This indicates utilization for discovering fraudulent trades, machine-learning and SPAM mails which decrease your organization's growth.


Systematic AI execution can help in minimizing fraud from feeding parameters into the machine-learning models that could easel find the anomalies in virtually rpa services.

One among the contributors to transformation is always currently calling the long run based on your own history. This indicates assessing statistics to produce. For this particular learning can be used, which produces output signals depending on the input signals that were specified and parses levels of information.

Predictive Analytics and Upkeep

Among the greatest contributors to digital transformation would be calling the long run based on your own history. This indicates assessing statistics to produce. For this particular learning can be used, which produces output signals depending on the input signals that were specified and parses levels of information.

General Electric can be a choice example of an organization having Artificial Intelligence(AI) for predictive care. Their AI stage PREDIX allows the enterprise to utilize performance of these equipment if it requires maintenance to work out. They are saved by it in costs which may occur from the machine breakdown.

Segment your clients

It's essential to aim the market for certain services and products. If you go a level deeper, machine-learning together with deep Learning, can recognize graphics, address, and text of clients to create the buyer character.

Yet another significant advantage of AI machines along with their implementation is that it lets you easily segment your visitors. Machine Learning algorithms may segment customers by ingesting in the demographics, age, sex, behaviour, and also other parameters.

Minimize fraud, spam, and security dangers

Systematic AI implementation aids in minimizing fraud by feeding parameters into the Machine Learning models that could easel find the anomalies in virtually any system.

Digital transformation is contingent upon the truth of your trades and how efficiently you are able to achieve the desired effects. This indicates utilizing machine learning services for detecting fraudulent trades and SPAM mails that decrease the growth of your organization.

Do you want to know RPA or AI: Which is better for your Organization? Click here to read the detailed article.

Deep learning & Machine learning vs Artificial Intelligence: what’s the difference?

Artificial Intelligence(AI) is the broader technology that covers both Machine Learning and Deep Learning.

Machine Learning algorithms are an approach to implementing Artificial Intelligence systems and ai solutions.

Deep Learning is a more comprehensive approach to implement Machine Learning that works with the interconnection of neural networks rather than plain data.

Do you know why your business needs to implement Artificial Intelligence? 54% of business executives say that they already see a productivity increase with AI implementation.

Artificial Intelligence is the broader term that is used to talk about intelligent machines. Any system which has intelligence capabilities and imitates human behaviour comes under the horizon of AI.

Tom Mitchell, former chair of the machine learning company Department at Carnegie Mellon University, and E.Fredkin University Professor at the same said the following about Machine Learning - 

A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E. 

Machine Learning algorithms modify themselves based on data without any human experts. Once your business has enough data, you can feed it to the Machine Learning programs. Your future predictions will be in your hand within no time.

Here’s what machine learning has already achieved - Netflix saved nearly $1 billion in 2017 through Machine Learning by making a personalized recommendation engine. Now imagine how much it would have saved in 2020? You can also save massive costs through Machine Learning as well.

Deep Learning algorithms are highly advanced, and they involve much more computation complexity than Machine Learning programs. Here’s a good example by geeksforgeeks - 

Through a Machine Learning algorithm implemented in a flashlight(for the sake of understanding), the model will learn and train itself to switch on the flashlight whenever you say “dark”. 

However, a Deep Learning algorithm goes further beyond and develops connections based on neural networks. So when you say “I can’t see anything without a light”, the Deep Learning AI machines will make the connection and switch on the flashlight. 

Read the complete example on their website.

This detailed blog at BoTree Technologies highlights the major differences between Artificial Intelligence, Machine Learning, and Deep Learning for your business.

Are AI Solutions Good For Business Implementation in 2020?

Artificial Intelligence is on every techie’s mind, and businesses are slowly but steadily adopting it as a necessity of the future. Whether we like it or AI solutions have started playing a crucial role in their daily lives. From movie recommendations on Netflix to purchase suggestions on Amazon, companies are increasingly moving to AI as their next go-to technology.

But not every business is like Netflix or Amazon. The feasibility of ai services for small businesses and millions of other enterprises is still in question. While AI machine learning will definitely provide breakthroughs in medicine and biology (which it has already started providing), is it a good venture to explore for businesses in 2020?

The answer, unsurprisingly, is yes. Today, business functions can drastically benefit from AI. Chatbots & virtual customer service has already proven it’s worth. Intelligent machines in manufacturing industries work on AI solutions. Self-driving cars and virtual assistants are increasingly becoming popular as people look for convenience in everyday activities. In this article, we will reflect upon AI services and their usefulness for businesses in 2020. Reach out to learn more about the artificial intelligence development company in new york for the various ways to improve or build the quality of projects and across your company.

Reasons to use AI solutions for enterprises in 2020

Artificial intelligence has many roles to play in different domains. Enterprises that need a competitive edge in 2020 must consider AI machine learning as a way to augment their business growth. Some reasons to implement AI services include - 

1. Accurate Predictions

One of the most significant features of AI is to bring accuracy to predictions. AI uses historical data to make predictions for the future. For example, an AI system can track customer visits and what they view on the online store. With this data, it can predict the right discount to customers for driving them to make a purchase. Using these predefined parameters, AI solutions can help businesses retain more customers. 

2. Customer Service

Everyone knows that artificial intelligence solutions play a massive role in today’s customer service. Conversational chatbots can handle a majority of the common customer queries and redirect them to the appropriate personnel. The amazing benefit is that AI bots never get tired and provide 24x7 support to the customers. And because of natural language processing, AI bots can communicate in a more human and friendly manner. 

3. Insightful Decision-making

Today, AI has enabled companies to make insightful decisions based on analytics of data and reduce the guesswork that led to inaccuracy. AI machine learning company is built on models which gather data from different sources and provide a clear picture of that data. With data-based decision-making, enterprises will be able to make real-time changes and spot patterns from a pool of data.

4. Functional Automation

Automation is a major advantage to companies moving towards AI services. It allows the enterprise to automate specific tasks like email campaign automation, content-delivery, and many more. Since AI works with data, knowledge workers can highly benefit from it. It can be utilized to automate workflows which include report generation, progress checks, and several other tasks. With AI solutions, teams will get more time to focus on productive tasks in the workflow.

5. Improved Customer Experience

The ultimate aim of every business is to improve the customer experience. Artificial Intelligence solutions provide personalization capabilities to deliver services based on user requirements. AI gathers large amounts of customer data, analyzes the patterns in it, and delivers content based on the customer’s preferences. In enterprises, AI services provide crucial information on consumer behaviour to help the operation’s team manufacture products accordingly.

Get started with AI Machine Learning Implementation in your Enterprise

If you have decided to implement artificial intelligence solutions in your organization, the first step is to find the right AI services partner. BoTree Technologies is a leading AI solutions company, building products with AI capabilities to augment your business operations. Drop us an email to discuss your requirements.

More Resource:

• Digital Transformation Using Artificial Intelligence Solutions
• How Has Advancement in Artificial Intelligence Spurred Drug Development?
• Grow Your Healthcare Business Using Artificial Intelligence
• Artificial Intelligence Solutions: Rethinking AI Ethics