Wednesday, September 8, 2021

How to Choose an Offshore Development Company

Offshore Software Development



There are a huge number of outsourcing organizations giving programming and engineering assistance. Finding the best offshore software development partner can be a real challenge. 


There are a number of elements you need to consider prior to collaborating with an offshore software development company. Some of these include - 


Evaluate their experience 


Take a look at the experience of the offshore development team. You must look past their long hours of work. Your objective ought to be to take a glimpse at the exhibited portfolio - their case studies, site, applications built, and other things.


By looking at their experience, you can comprehend if they are an ideal choice for you. Recognize that they have worked in your industry, their product engineering approach, and their communication abilities. 


Experience informs a great deal concerning what the organization has done and how they work. It shows whether the offshore programming team has really accomplished what they say or not. 


Analyze the cost 


Prior to employing an organization for offshore application development, analyze and compare the cost of various organizations across the globe. 


The expense will likewise rely upon area to area. India is a main IT outsourcing destination and offers great talent for a minimal price. 


Philippines, Vietnam, Thailand, and Poland are likewise financially savvy areas to recruit specialists in programming and development services. 


While a financial plan ought not be your essential concern, ensure that you get a fair price. Some of the time, offshore developers offer a type of assistance based on what the pricing is, so think about an organization after appropriate research. 


Understand cross-culture gaps


Communication and Collaboration are significant for offshore software development companies and their employers to work adequately. 


Be that as it may, cross-culture tasks might appear to be challenging. The arrangement is to commonly regard each other's way of operations and adjust the work style to accomplish the most extreme advantage. 


A decent offshore programming team will bridge the social gap however much as could be expected. It comprehends the significance of cooperating, so it will adjust its style of work depending on your organization's functional style. 


How would you Get an Offshore Development Team? 


As a rule, an offshore development company will give the best team to your web application development needs.


Organizations that are hoping to hire offshore engineers can accept interviews before they work together with the group. It will give an appropriate idea regarding who will fit perfectly at the project, their experience, and what they can accomplish. 


To get an offshore development team, organizations can get reference from their connections. It is a standout amongst other approaches to discover an organization. 


Then again, there are online portals today like Clutch, GoodFirms, Techreviewer, and more that give a complete profile of offshore development organizations. 


Online portals are liked by organizations today since they give reviews about the offshore company and their contact data. You can connect with them and evaluate what they offer. 


Summarizing 


Outsourcing software development services is an astounding way for organizations to accomplish economies of scale while building sustainable software. 


Today, numerous nations that offer offshore advancement groups have designers who have studied in places like the US, Spain, Italy, Australia, Canada, and New Zealand. They have the abilities to fill in as talented engineers at a truly moderate cost. 


Monday, September 7, 2020

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

Ruby on Rails - A complete Web Development Application 


ruby on rails web development company


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!!

Wednesday, July 22, 2020

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.

Wednesday, July 15, 2020

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

Machine Learning vs Artificial Intelligence vs Deep Learning


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.



Tuesday, April 7, 2020

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.

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Tuesday, September 24, 2019

How to Overcome the 3 Major Python Development Challenges


Python development has gained much popularity because of its wide applications in artificial intelligence and machine learning. It is covered as a fundamental programming language in academic courses. Today, Python has become an indispensable part of a company’s technology portfolio.

But as its popularity multiplied, so emerged the problems. It’s performance and project management issues are now widely identified by the Python development community. However, these issues are not significant problems but challenges that might take python applications a step back. It already faces stiff competition from languages like Go, Rust, Julia, and Nim.

3 Major Python Development Challenges and their Solution 


Python developers face 3 major challenges when it comes to development. These challenges create some significant problems that can set the development process aback. Here are the challenges and how to solve them:- 

1. Packaging and Executable


It’s been 30 years since python was launched. Even today, it is incapable of turning a program or script into a self-contained executable. Third-party tools offer the feature, but they are challenging to work with.

PyInstaller is the commonly used third-party tool to tackle this issue. However, python developers can still not create cross-platform packages with it. They still have to create packages for each platform separately. 

Instead of PyInstaller, developing python applications require something that can allow natively to create cross-platform packages. This packager will utilize runtime code coverage information to combine the necessary libraries at any time. Even though this is a conceptual solution, it is the one which is needed the most. PyOxidizer is a substitute that enables developers to develop standalone python applications.

2. Installation and Project Management


Installing Python for web development is a challenge in itself. The development environment is too complicated. Installing with a directory structure, monitoring different packages and dependencies, redistributing source, etc. is a long sequence of steps.

Python installation and management have become complicated over the years. Python developers need to do package management, virtual environment creation, meta manage, and develop project packages and dependencies. Several other components are required to define the project. 

One solution is a tool that can integrate all these complicated steps and create a simple, sequential environment for development. Python development services are getting popular, and management issues are nothing but obstacles to entry. Build dependencies are integrated into pyproject.toml. Tools like poetry are also coming closer to integrate all the management steps in a simple, combined sequence.

3. Speed and Multithreading


Python software development’s primary challenge is its performance speed and multi-threading constraints. Focusing on simplicity in programming, python doesn’t pay attention to runtime speed. C, C++ offers dynamic libraries to execute similar tasks of python at a rapid pace. 

Python development is also incapable of utilizing multiple cores and processors. Its threading capabilities can only be used by a single core. Even the synchronisation of subprocesses in python is also a tough task.

There is no perfect remedy for improving Python’s performance. However, several initiatives are undertaken to improve its speed. Some of them include CPython’s internal functionality improvement, CPython’s sub interpreter functionality improvement, and working on object processing. Refactoring Python’s internal C APIs will enable developers to drastically gain on runtime and execution speed.

Building a python application requires developers to working around these three major challenges. Since python’s demand is increasing day-by-day, it is essential that adequate solutions for these problems must be created. But till then, how do you build a good application? Hire a leading python development company like BoTree Technologies and build world-class python applications. Get your FREE QUOTE.

With increasing popularity, python development also has some challenges that can hinder development. Reach out to learn more about the web development agency in New York for the various ways to improve or build the quality of projects and across your company.


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Wednesday, August 28, 2019

How Artificial Intelligence Services are transforming the Financial Industry

Artificial intelligence solutions are transforming the financial industry. Here are the 5 ways it has impacted the world of finance with its innovative approach.


When John McCarthy coined the term Artificial Intelligence in 1956, he couldn’t have imagined its impact. AI is increasingly gaining importance in the technical budget of small to large enterprises. The reason is simple - Companies have a huge amount of data and they need intelligent machines to make sense of it. Artificial intelligence and robotics help in determining patterns from this data. These patterns offer insights that help companies to better target their customers. 

AI has evolved rapidly over the past few years. It has marked its presence in an array of industries ranging from manufacturing to healthcare app development company. The financial industry also isn’t untouched by its effects. AI has transformed it in ways that no one could have imagined. Reach out to learn more about the website development companies in New York for the various ways to improve or build the quality of projects and across your company.

Artificial Intelligence programming for the Financial Industry


The world of finance is filled with data. An artificial intelligence system can analyze millions of data sets quickly and provide valuable financial insights. It can help in predicting future patterns from the financial data and help investors in making informed decisions. 


1. Risk Management


The financial industry revolves around data and AI has been learning from data since its inception. If we talk about credit cards and loans, they are given to individuals who have a good credit score. However, it isn’t a realistic metric to determine who is a good customer. There is a high amount of risk involved in repayment even if people have a good credit score.

AI systems can analyze the data and provide an accurate history of the customers. They can quickly scan through their repayment behavior, number of loans, number of credit cards, etc. It will provide an insight into whether a customer should be deemed as a trustworthy party or not. 


2. Security Management

Financial institutions are serious about fraud management and security risks involved with loans. ai solutions analyze the spending behavior and different transaction records to identify oddities on a person’s card. It keeps a note of regular transactions and raises a red flag if a transaction doesn’t match the regular behavior.

Artificial intelligence systems continuously learn from their surrounding data. They can adapt to financial data scanning quickly and then determine whether fraud is real or not.

3. AI Advisory


Robo advisors offer a major advantage when it comes to investments - they don’t charge a commission. They can combine their intelligence and algorithm for making complex calculations and provide different investment options to the investors. Artificial intelligence solutions will balance the decision-making process for investors with their insights based on data.

4. Stock Trading

The stock market is the most unpredictable of all financial institutions. Predicting future patterns is essential for maximising returns. With the help of artificial intelligence and robots, a huge amount of data can be processed in a short while. They can understand past data and predict how the market will work in the future.

AI can also be taught to observe and predict anomalies in the data. This will help in identifying triggers that might lead to economic collapses, like the 2008 recession. AI can help investors to make the right buying and selling decisions and reduce their risk of falling short even when the market crashes.


5. Financial Management

Artificial intelligence solutions can help us easily manage our finances. AI can keep track of our spending habits and make smart decisions based on our budget. They can be connected with mobile wallets to get a proper record and help you figure your expenses. Financial management will become easier once AI systems automatically take the right decision whether you should spend here or not.

Artificial intelligence has a long way to go in the financial industry. Making financial processes easier for customers is the main objective of AI. It offers long-term cost-cutting and benefits all the stakeholders involved. BoTree Technologies is a leading IT solutions provider offering artificial intelligence solutions in New York to maximise the efficiency of your financial organization. Contact us today for top-notch AI products.

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