5 Ways to Boost Productivity with Machine Learning App Development

A mobile application is an irreplaceable entity for the successful operation of any business. At a time when companies are looking to retain their customers and provide them with fast, secure, and convenient services, there is a need to incorporate modern technologies in those apps.

One such technology that has huge capabilities in various industry sectors is Machine Learning. With Machine Learning App Development features, organizations can sense the pulse of customers through deep insights thereby bringing business scalability and improved productivity within the organization.

ML has the capability to disrupt business complexities by automating various business processes, making huge data available in a structured and insightful format thereby enabling a wide range of benefits. Some of the key ways by which ML application can help a business boost its productivity include:

1. Fast Operational Task

With machine learning, companies can automate processes whether it is sales, marketing, or customer support. This, in turn, reduces human reliance and can save companies from hiring a large number of resources for doing mundane tasks.

Rather with an automated ML program firms can get the work done in fewer hours with increased efficiency or can assign core activities to its employees and get the repetitive work to an automated ML program. ML app meanwhile can be used to track the performance of various business processes.

2. Predictive Maintenance

Most manufacturing firms spend a lot in carrying out various preventive and maintenance practices. However, with ML-powered software or application, such companies can discover meaningful insights from the raw, unstructured, and obsolete data and prevent themselves from vulnerable risks.
ML developers can incorporate machine learning in web development thereby getting fast predictions to potential risks. Hence risks of machine failure or data loss can be minimized to a great extent with ML.

3. Product Recommendations

Almost every e-commerce company in the present day utilizes machine learning to the best of their capabilities for driving the right audience to the right set of products. ML algorithms can be used by E-commerce companies to feed customer’s purchase history and product search results into ML software.

This method allows firms to identify hidden patterns based on user’s purchase behavior and then lists relevant product recommendations thus driving higher sales. Building an ML-based application can enable companies to take fast decisions anytime anywhere.

4. Improved Authentication and Controlling Fraud

Machine learning application enables improved security and authentication within the organization devices. By incorporating ML in fingerprint recognition, wallet management, logistics optimization, business intelligence, and others, companies can deal with potential threats much faster and eliminate such attacks in real-time.

With ML applications, users can log in to their websites in a secure manner with multiple tier authentication mechanisms.

5. Installing Smart Bots

Smart bots are the new norm of chatbots. Chatbots meanwhile is used by almost every company in the present time. It can assist customers with a pre-determined set of texts which is used to engage users and to know whether the customer has a genuine query related to products and services or not which can then be used for customer service and sales teams.

With smart ML Chatbot apps, teams can get better information into user data and later use to re-engineer the ML algorithm. Make sure your machine learning development services provider is well equipped to carry out this operation.

Are You Ready to Incorporate ML in Your Business?

There are several benefits of incorporating ML in business ranging from fast completion of repetitive tasks, better security mechanisms, and deep insights into organizational assets and its performance. Having an app developed for your ML software can add to the feasibility of companies in various ways thus ensuring a high ROI.

To know more about Machine Learning App Development, feel free to visit our website and talk to our ML experts.

7 Things to Consider While Hiring a Java Development Company

Java is a top programming language used by more than 95% of enterprises. In fact, Java is the base of most modern programming languages. Now a day, Java is widely opted for building enterprise solutions in industries like Banking, Finance, Insurance, Retail, due to its high security, performance and varied features.

Java incorporated with other technologies like AI, Big Data, and ML enables developers to build highly sophisticated solutions and requires a reliable development partner. However, the selection of a Java Development Company can be a difficult task for most business owners as one has to consider a lot of aspects ranging from project budget, the expertise of Java Development Services provider, portfolio of Java Development Company and many others.

In this article, we will dig deep and analyze various factors businesses must keep into consideration while hiring a Java Software Development Company.

1. Enlist Your Java Development Requirements

To begin a Java project, organizations must give time in brainstorming on their own. Before going for custom java development, it is important to find your objective behind building the application. Detailed analysis of how the app is going to solve user problems or improve your employee's productivity has to be taken into consideration. Some other factors to be considered include features, budget, timeline etc.

2. Selecting a Category

After doing a brief analysis of requirements and its impact on business/end users, it is time to reach out to a Java Software Development Company and select desired Java Development Services. Ideal services may include java application development, java web development, java system integration & Java migration to list a few. It enables a business to know what services suit their project requirements.

3. Industry-Specific Projects or Not

Java is widely used in many industries. Some industries that use Java solutions in their day to day activities include e-Commerce, education, banking, hospitality, retail, and others. Before selecting a Java web development company, make sure it holds previous expertise on the relevant industry or not. This ensures you get an experience development partner and not a novice team.

4. Java Frameworks

While building a Java software or application, it is important to select a reliable framework. For instance, Java frameworks like Maven, Spring, JSF, and others enable developers to build seamless and intuitive designs and also augments in writing optimized code. A right framework is what businesses should focus on as it ensures the product built is powered with powerful features and fast performance.

5. Analyze Development Models

While hiring a Java web application development company, businesses must analyze what development model suits their project requirements. For developing a complex data analytics application using AI, ML, and Big data, one would require a big team while for other simple projects, a java developer or a full-stack java developer may be enough. Moreover, one must be clear on payment terms, ideally, it should be a milestone payment that can be set through a mutual agreement based on hours of work done.

6. Understand the Development Process

The development process varies from company to company and depends on which Java application development company you choose. For this, one must know which frameworks, tools, and devices are used to build a solution. Ideally, companies having an agile development method are the most preferred ones due to their increased collaboration, frequent testing, and higher performance.

7. Interview Certified Java Developer

Even if organizations are not aware of the technicalities of Java, they must be prepared to know how a development team or a developer responds to projects scope. Some organizations prefer to conduct tests of Java developers before hiring them on a project. Hence one must be prepared shooting in Java questions related to UI, design tools, OOPS, Android studio, JDBC, and other subjects even if you don’t know much about it, rather it lets you know about java and how it will impact your project.

Final Thoughts

Before hiring a team of java developers, it is important to understand the company’s work process, experience, and analyze previous solutions. It can help businesses to select the right development partner.

To know more, have a look at our Java Development Services!

5 Reasons Why Organizations Need Python Development Services

While there are programming languages like Java, C#, JavaScript, PHP & others used widely by developers worldwide to build scalable and fast performing software and applications, Python is in a league of its own. Over the past 5 years, Python has shown tremendous growth in major countries like USA, UK, Germany, Canada and others due to its capabilities to build innovative solutions augmenting ML, AI, Big data and other technologies.

With a 27% annual growth, Python has become the desired programming language to build sophisticated software and application programs. This is why enterprises are now looking to hire Python developers to meet their complex business requirements.

As a leading Python development company, having worked on a vast number of python projects, here are our insights on why python is the language to rely on for organizations looking for scalable, immersive and high performing solutions.

1.  Simplifies Complex Development

Python, unlike other development platforms, allows programming for a wide range of applications ranging from desktops, mobiles and application software. Sometimes incorporating features in such applications appears to be a daunting task.

However, with Python, which contains a wide range of libraries and custom components, building such difficult looking tasks could be accomplished with ease. Whether it is in carrying out data analysis tasks or to create custom big data solutions using ML, Python can deliver everything ranging from simple apps to custom scientific applications.

2. Multi-Platform Support

Another reason why organizations rely on Python development services is due to its ability to run code on various platforms and frameworks. As Python is an interpreted programming language, it allows code execution on platforms including windows, Mac, etc without requiring recompilation after making changes in the code resulting in faster development.

This allows companies to not only build cross-platform products but also get product delivery in a quick phased manner. Hence business collaborating with a python development company can expect fast deployment of projects that are compatible with various platforms and devices in minimum time and cost, resulting in high ROI.

3. Standard Libraries and Multiple Frameworks 

Python developers have access to various libraries that help developers to execute various complex projects related to data analysis, computing, deep learning, data mining, and other software development projects. It helps organizations to implement sophisticated features and build software and websites that would otherwise be very tricky and difficult to build.

Libraries that Python supports:

•  Numpy: Developers use Numpy for executing mathematical and scientific calculations.
• Keras: Keras allows Python developers to write code for machine learning and neural networks.
• Tensorflow: Google’s library allows developers to implement deep learning features like pattern recognition and image recognition.

Moreover, based on requirements, Python libraries could be incorporated with multiple web, software and application based frameworks like Django, Pyramid and others.

4. Easy to Maintain Code

The quality of any software depends on how optimized, readable and maintainable a code is. An easy to maintain code is useful at the time of code changes and updates. The syntax rules of Python allow developers to use English keywords instead of using punctuation.

With this, Python developers need not write additional code while creating a custom application as code is readable and easy to understand. Most business owners rely on Python development services over other web frameworks and languages due to Python’s easy to comprehend capabilities in code resulting in faster testing and development.

5. Faster Prototype Development

With Python, developers can build prototypes for applications and software in a rapid manner. To ensure a prototype is designed, coded and tested in a lesser time, Python web
development companies takes use of the TDD approach. TDD or test driven development allows teams to perform testing and coding simultaneously.

It ensures organizations to know if their product is built in line with their requirements and hence can be improved in cases of shortcomings. Thus for companies that require fast deployment of projects, Python is the go to choice.

To Sum Up

Most applications, software and websites built on other platforms are equally good in some aspects related to speed and performance with Python solutions. However, there is no match to Python as a language due to its high quality cross platform support backed by easily maintainable code, and fast prototyping capabilities.

Without a doubt, Python is the best platform for organizations looking to surge ahead. Need Python Development Services? Let our experts know about it.

How AI Driven Development Impacts Software Development?

Software development has brought about great transformation to our daily lives. Everything from digital devices, drones, machines, and rockets runs on software built on various emerging and sophisticated technologies. All technologies meanwhile have disrupted software development to some extent and artificial intelligence is no exception.

In fact, AI is the most anticipated technology of the present decade and the decades to come. Due to its ability to automate manual tasks, it has been widely opted for building faster and more strategic software solutions. Enterprises now use AI driven development for improving chatbots interactions, automation testing software, and data mining tools. The importance of AI can be gauged from the fact that around 47% of mature enterprises have a defined AI strategy.

However, still, a large portion of the businesses are in the process of implementing an AI development solution to drive accurate results and to automate various processes. Here is how artificial intelligence development can impact software development.

AI Impacts Various Phases of Software Development

AI impacts software development in many ways right from requirement gathering to designing, coding and testing. Let’s discuss each phase in detail:

1. Requirement Gathering

For building software as per SDLC, businesses require maximum human intervention. In the initial stages of development, AI development companies employ various tools and techniques like Google ML Kit and Infosys Nia to automate processes thereby reducing human intervention.
 Under this, dedicated machines are sent instructions through AI language- NLP making machines understand the software requirements. To execute requirement gathering which is an important phase in software development, one needs an expert Artificial Intelligence Development Company that ensures everything is carried out in a streamlined manner.

2. Software Design

With AI, designing can be made much simple thus saving time and designing costs.. Under this, various designs, colors, and patterns can be selected by designers which can then be fed into the AI software resulting in faster and accurate software designs. Thus AI helps in automating designing process helping companies to build software designs in an accurate and desired manner.

3. Automatic Code Generation

Writing code for software can be a daunting task and takes way too much time through manual methods. However, with AI development services focused on automatic code generation, artificial intelligence developer can build a sophisticated program that accepts high abstract instructions from a programmer to get source code.

4. AI in Testing Services

For testing software, AI tools can be of great help. It can save the companies from the pain of rewriting test cases after changes are made into the code. Such tools can come in handy when a company needs to carry out regression testing. These AI tools can be used to write test cases with ease and further ensures error-free testing.

5. Deployment Control

With artificial intelligence, deployment works can be controlled to a large extent. Deployment is an important phase in software development as it prepares companies to prepare application run through standard methods. It involves installation, configuration, testing and optimizing the performance of the software.

With AI Development services, companies can reduce the risk and vulnerabilities during software up-gradation and subsequent testing thus helping in better monitoring of software performance.
How Artificial Intelligence Benefits in Software Development?

AI impacts software development in many phases thereby resulting in better, and fast performing software helping an enhanced user experience, data security, & error identification to list a few.

1. Data Security

The software installed on customers end can face data and security related issues that can otherwise be immediately collected by AI software at the end of Artificial Intelligence Development Company thus resulting in fast alerts and accurate solutions.

2. Error Identification

With various AI tools coding and testing processes are streamlined effectively helping the teams in examining bugs and errors. With this, developers and testers can find bugs with ease and correct them in no time.

3. Better Decision Making

AI software working on ML algorithms allows development teams to learn from their previous projects, work on irregularities and correct them accordingly. With this, AI development companies can make better decisions related to development phases.

To Sum Up

AI has a pivotal role to play in various phases of software development right from project ideation to its deployment and maintenance. With improved analytics and accurate data capture, AI software helps in preparing advance and innovation packed software that is implemented in all major industries.

Looking for AI Development Services? Let our experts know about it.

6 Key Considerations for Hiring the Best .NET Software Development Company

Software development is a standalone answer to most businesses’ efficiency issues. Whether the goal is to streamline your existing complexities or to scale up your business, with the right software development practices most of such issues can be taken care of.

However, software development is a challenging task that requires a reliable partner. As per a study, around 37% of IT projects fail every year due to a lack of innovation and capacity of a software development partner. Many businesses are hence shifting their focus to technologies like .NET, and RPG which is known for its better and efficient product development.

Hence selecting a reliable .NET Development Company saves the business from exceeding project costs, delays, and other worries. Below are some of the important considerations for shortlisting a software development partner.

Important Considerations for Choosing the Right Software Development Partner

1.  Identify your Project Requirements

Building custom software requires a lot of brainstorming on defining what exactly your business needs. It is seen that company officials abstain from discussing the ideas in detail with their team which can otherwise result in better solutions and helps in defining the requirements precisely.

Once you have set your project requirements precisely it would be much easier to outsource it to a reliable .NET Development Company based on a company’s reputation, previous works, and ROI.

2. Put a cap on Budget

Companies often have a limited budget and it is advisable to stick to that as it can affect a company’s work and efficiency. Hence as a business, it should be your priority to find the best software development companies that can deliver quality work at a budget price.

However, there can be added costs when it comes to building a product like software. The additional costs can come in the form of set-up, hosting, support, training charges, etc. So, as a business, it's better to focus on getting higher ROI on your development works, keeping budget restrictions on the check.

3. Check Company’s Technical Expertise

As mentioned above, software development projects have a low success rate and the reason for that lies in the average capabilities of a software development agency. So the best way to outsource your project is to gauge the development team’s technical know-how, their expertise on the latest technologies like .NE, RPG, etc.

Setting up meetings with your software development partner or Dot NET Development Company opens up a lot of opportunities to understand not only the project scope but also exposes the technical knowledge of a development team. Overall, companies that work on agile and hybrid methodologies with a proven record are a good choice to go with.

4. Think of Building a Prototype

Unless your development partner hands over the final build of your software, you cannot be sure of its efficiency and ROI. However, investing a little in prototype development can help in understanding how close your dot net software development partner is compared to your exact requirements.

Moreover, with prototype development, one can know how efficiently the functions and features of the software are developed which can be further improved at later stages.

5. Post Development Support is Crucial

Once the software is deployed, post-development support becomes crucial. This is where a leading .NET Development Company helps you in major areas of troubleshooting, training, providing timely upgrades and taking care of maintenance activities.

If your software is hosted on cloud-like is the case with technologies like Dot NET Software Development and others, not only your data security is ensured but also data backup issues can be resolved with ease.

6. Project Communication and Timeline for Delivery

After setting foot with your software vendor, frequent change in deliverable's quality like navigation, User interface, and graphics, etc. might be required.  A sound project communication ensures you get what has been pre-decided while signing agreements on project delivery and quality. Also, it aligns both stakeholders on the same page which in the long run also ensures there is no need to make all of a sudden change.

Setting up milestones is a great way to ensure projects are delivered on time. This makes it possible for businesses to launch their product on time as planned previously.

Conclusion

Investing in the right software development technologies and choosing the right development partner goes a long way in building the most precise software. Moreover, sticking to the project scope, and budget backed by sound project communication and post-development support ensures the final build is as per a business’s expectations.

Plan upgrading to Python 3 if you have not already

Python.org decided to sunset Python 2 on January 1, 2020. This means that the community who maintains the beloved programming language will not be improving Python 2, even if a security issue is found out. Python 2 had a great life span of 20 years. While Python 3 was rolled out quite early, in 2006, developers kept working with Python 2 and the community therefore duly maintained both the versions. The last version of the Python 2,  2.7.18, would be rolled in April 2020, and that would be the final version.

If you are still in a state of flux and meaning to wait until 2.7.18 releases, as an experienced Python development company, we offer 5 reasons to convince you otherwise.

Python 3 has proven its mettle already

Python 3 community patted its back when Instagram reported close to 12% improvement in CPU performance and a 30% improvement in the usage of memory resources after it migrated to Python 3 and updated to Django 2.0. When companies of such prominence as Instagram have affirmed the efficiency gains through migration, it is high time that the rest of the Python 2 projects follow suit.

Python 2 Software will get increasingly prone to Security Breaches

It is a well-known fact that the legacy software are vulnerable to breach incidences as they are closed systems with little support from the developing community. Since Python community won’t be supporting the Python 2 version and also because most of the developers are already invested in Python 3, the Python 2 projects will keep on getting prone to security breaches. Though securing a Python interpreter won’t be much difficult, but if you plan to maintain the project with the 2.7.18 version, any security patch now onward would be unofficial. You might even end up patching manually if you are not using a long-support distribution like Linux. Gradually, around mid-2019, third-party dependencies began shedding support for Python 2 and this also adds to Python 2 woes.

Third-Party Python libraries will not roll updates for Python 2

Being an open-source programming language and having been on the development block for almost three decades now, Python has a rich stack of third-party libraries. The collection is vast, inexpensive, and fairly easy to use. Ready-made solutions for basic functionalities have helped developers in accelerating SDLC. After the official sunset of Python 2, almost all the popular libraries will discontinue rolling its updates. Integrating obsolete libraries would make the software prone to security breaches and may attract an additional cost of development in rectifying the same. Since Python is open source, you might get new fixes for even obsolete libraries but the authenticity of these fixes would be doubtful.

Python 2 Projects will incur incremental maintenance costs

In the not-so-distant future, talent with proficiency or interest in Python 2 will plummet. It will be difficult to hire Python developers for maintaining the project built on the relic version, not-to-mention that sticking to obsolete technologies leads to employee attrition. Even if you happen to find Python 2 experts, it will be costlier to loop them in for fixing an obsolete technology because not only they would be fewer, your increasing dependency will make them quote a higher price. Some organizations are still pondering that upfront investment in migration to Python 3 and restructuring the entire IT ecosystem would be costlier, but as an experienced Python development services provider, we know that it is far from the ground truth. The latest technology proves to be more economic in the long run when you consider the cost of inefficiency, troubleshooting, and distrust with end-users.

With added features, Python 3 is way better

Python 3 was released in 2006, and in a decade-plus of its existence, it has gained all the advantages of Python 3–  the easy availability of third party libraries, strong developer community for debugging and troubleshooting. Besides, Python 3 is unarguably the better version. Whether it is strings that are Unicode by default or type annotations that improve static code analysis or the best part-chained exceptions; Python 3 undoubtedly eases a developer’s job.

Summing Up

Python 2 has lingered a bit too long. And as a Python web development company, invested in Python projects with different industries, we see no reason for the Python community to recall the sunset that was announced some five years ago. We speculate that maybe Linux distributions will offer critical security fixes for popular libraries this year, but then they would have to stop doing it for the future. While some developers have been able to funnel some of the Python 3 features in Python 2 through forks and back-ports, still it is not a safe way to maintain the project.