“Do you also wish to use the outstanding capabilities of enterprise artificial intelligence for your business? If so, then this blog will provide you with everything you need to know.”

How often do you unlock your smartphone using the face recognition feature? It can detect your face and even identify the blinking of your eyes, but how quickly does it do this? Within a zeptosecond, correct?

Have you ever wondered how the face recognition feature got this accuracy? AI, or artificial intelligence, is the technology behind face recognition, which makes it accurate.

Do you also wish to use the outstanding capabilities of enterprise artificial intelligence for your business? If so, then this blog will be of great assistance to you.

Here in this blog, we will highlight the benefit of using enterprise AI for your business. But before that, let us make you familiar with enterprise artificial intelligence.

What Do You Mean by Enterprise Artificial Intelligence?

Enterprise AI refers to software solutions that bring intelligence to data collection and analysis processes in order to redefine the way businesses operate.

In layman’s terms, AI is the use of software technologies to create a system that can think like a human. It automates processes and improves the quality of work machines can deliver.

Let’s understand enterprise AI with an example:

Whenever you visit an eCommerce website or other website, you see a pop-up of a chatbot. Using a chatbot, customers can share their queries, and the chatbot by analyzing the data from all sources of the businesses and providing them with resolutions without human intervention.

Why Does Your Business Need Enterprise Artificial Intelligence?

The Markets and Markets report estimates that the global enterprise AI market was valued at USD 845.4 million in 2017 and will grow at a CAGR of 48.7% to USD 6,1414.5 million in 2022.

More and more businesses are identifying the need for enterprise artificial intelligence solutions. If you are also among them, then learning the following benefits of enterprise artificial intelligence will help you to make a more informed decision about whether you should invest in it or not:

Automation of Repetitive Tasks

Running a business is not an easy task to do. There are a variety of things that need to be taken care of such as customer support, finance, marketing, administration, etc. This task consumes most of the time, therefore it is best to have a solution that can automate repetitive tasks.

AI for business can allow you to do so. Artificial intelligence can automate repetitive tasks too without any human interventions. By doing so, the business owners have more time to focus on important tasks.

Personalized Customer Experience

Business success is heavily dependent on how satisfied customers the company can manage to make. One of the best ways to do so is by building a personalized customer experience by tracking the customer queries and concerns.

AI can track and analyze customer shopping patterns & behavior and automatically recommends the best product to the customers that will attract them most.

Cost Reduction and Profit Enhancement

As said, AI has the capabilities to bring automation to business processes and AI reduces the need for human employees. As a result of this business, expenses will be reduced, but operations will continue, as usual, resulting in better revenues.

When AI is integrated with smart sensors, it can even forecast the business machines’ maintenance needs, resulting in extended machine lifespan.

Improved Cybersecurity

What is the biggest threat to a business? For most of us, it is cyber attacks.

According to a report published in the Purplesec, on average every enterprise experiences nearly 130 cyberattacks every year in the USA. In the wake of an increasing number of cyberattacks, it is a must for enterprises to adopt the best practices to safeguard businesses from cyberattacks.

Artificial intelligence is one of the best solutions to keep your business security at the top. It can detect the sign of a cyberattacker and put an alert for security engineers to take strong actions to unsuccessful those attacks.

Generate Business Insights

Data plays an important role in the success of the business. However, it is useless if you don’t have any knowledge of how to use the data. AI has great capabilities when it comes to dealing with data. It can collect business data from multiple sources and analyze the data to lead businesses to make more informed decisions.

Reduces the Risk of Failure and Downtime

No matter which business you belong to, be it healthcare, retail, baking or any other AI is the perfect choice to mitigate the risk and downtime of the business.

Thanks to predictive maintenance, enhanced protection from cyberattacks, and increasing business operational efficiencies reduce the risk of failures and business downtime.

Identifying Market Trends

The market is changing at a rapid pace these days. As a result, businesses that want to compete in a highly volatile market must keep upgrading themselves to keep up with market trends.

AI (Artificial Intelligence) is helping businesses to stay informed about the latest market trends. Businesses can adopt these trends to increase the customer retention rate and ensure a successful business that never fails to impress its customers.

Turn Data into Actionable Information

Business requires a lot of data including the customer’s shopping patterns, customer age group, and a variety of other information to make decisions.

Enterprise artificial intelligence collects the data from multiple sources and presents it to the business in a human-readable format. By evaluating this information businesses make smart-decision to make sure their services cater to their customers in the best way.

Improved Business Operations Visibility

Companies that adopted artificial intelligence in their business have better control over their business processes. AI offers them better visibility over their business data and helps businesses with what’s going on in the organization.

If something happens that is beyond the business standards, then AI will immediately put an alert so suitable actions can be taken to ensure effective business operations.

Let’s Propel Your Business to Success With Enterprise Artificial Intelligence

As corporate needs and technological advancements change, enterprises are increasingly integrating enterprise artificial intelligence into their operations to gain competitive advantages and better efficiency in business operations.

If you are also considering benefiting from artificial intelligence, but are unsure how you can do so, then the best thing you can do is hire an AI development company.

AI development companies have extensive experience in developing AI solutions. They can develop a solution following your business needs. Having a customized AI solution will make sure your business best benefits from AI.

However, there are an overwhelming number of enterprise artificial intelligence development companies in the world. In the wake of this, it is a tough decision to choose one that can generate the best results for you.

If you are also driven by a similar challenge, then you can consider checking out ITfirm’s list of the top artificial intelligence companies. After thorough research, ITfirms presented a list of the best companies that leverage expertise in artificial intelligence technology and propel your business to success.

Frequently Asked Questions

Which industries can benefit from enterprise artificial intelligence?

Almost all industries can make use of AI technology to bring intelligence to their business process. Below we have mentioned a few of the industries as an example that can make use of AI:

• Healthcare
• Manufacturing
• Retail
• Transportation & logistics
• Finance
• Marketing
• Education
• Human Resource
• Supply Chain Management

What is the most common use case of enterprise AI?

Enterprise AI can be used for the following purposes:

• Automate customer support services
• The better way to generate leads
• Automate data analysis
• Improve the employee experience
• Detect the cyberattacks earlier before they make an impact on business operations.

The post What Benefits Enterprise Artificial Intelligence Can Deliver For Your Business? appeared first on Top ITFirms - Result of In-depth Research & Analysis.

With all these platforms and development processes, the ever-present issue of legacy code management persists. Let’s see how Python improves the associated risk profile!

Great expectations come with great responsibilities and it is the Enterprise Applications that always have to be up to the mark keeping up with the sky-high expectations. Organizations play their role on the pivot of strong domain expertise, solid experience, and a vision. Major challenges in the process are data security, access to data, scalability, integration with existing systems, operational efficiency, skillset and development speed.

Client-side Scripting used to be the main reason why Python was preferred over Perl a few years back, but the bigger reason to adopt Python is to automate trivial stuff and focus on more exciting use-cases.

What is Python?

It is a high-level programming language, that is interpreted, rather than compiled and is used to create general-purpose dynamic applications that focus on code readability. Python has been part of winning streak for software quality, productivity and maintainability at many organizations around the world.

Comparable to Java and C++, Python is an object-oriented language that can solve the purpose in very little coding. The availability of multiple programming paradigms makes it a convenient option to be used in larger organizations. It has a comprehensive standard library that has automated memory management and dynamic features.

Why is Python Preferable?

Python makes use of a modular programming approach and can be integrated along with any technologies. The community is vast with numerous libraries that account for building just about any functionality with ease.

Python can be used for web scraping, testing, computer graphics, data analysis, machine learning, big data analysis and internet of things (IoT) solutions. Python is universal and multipurpose. But for a few more reasons, like quicker and efficient web and app development, Python is being utilized even more with the presence of the Django Framework. This framework makes it convenient to code, providing lots of templates and creates rules to adapt a universal language to a particular task. This eases the process to build web applications as you get ready-to-use blocks you can construct with.

Frameworks like Django are a set of rules that set the boundaries useful to provide ready-to-use functionalities that can be modified later, speeding the development work for PHP development companies. Clean design, a vast library of components – eases the development of the feature-rich application.

Python is preferred more due to its versatile feature, shorted codes, being interactive, interpreted (not compiled), modular and dynamic, object-oriented (like Java, C, C++ and many more), portable, high-level (for both server and client-side programming), Extensible in C and C++ and Scalable. It can extend or get integrated with any legacy code to redefine the application (being dynamic).

Is Python suitable for enterprise application development?

It was once thought that Python is for QA, Java is for browser applets and Go is for DevOps and so on but all these languages approach problems from different angles. It depends upon the programmer’s mindset, the solution that they intend to implement, and how equipped they are than others. All these languages – C, C++, PHP, Perl, Golang, Lua, Lisp, Java might come equipped with virtual machines or compilers and might have their limitations that you need to be aware of so you can avoid falling into a big trap.

Taking a look at Python

Python has its major implementations like CPython has GIL (Global Interpreter Lock) etc. but if the language is optimized regularly, CPython gets faster on each minor version.

Python is and is-not preferred for Enterprise Application Development depending upon the requirements. Developers encounter situations where Python performance was not sufficient like in case of thread spawning, GIL supports one thread at a time and so on.

Many large enterprises have utilized Python in their core implementations: Instagram, Google, YouTube, DropBox, Paypal, etc.

There’s one more reason why Python is preferable

Going down a layer and making use of lower-level languages like C or C++: no Python GIL, no leaking of Go resources, no JVM startup slowness, etc. But doing this will add a ton of extra load and problems that need to be resolved.

What a trade-off

In presence of all the available high-level programming languages and subsequent frameworks, it is for the developers to decide whether they wish to write an intense program in 10 years or wish to write a decently fast program in 1 year. The time required to develop a program is equally important to the result of the program.

Therefore, the selection of a programming language depends upon performance, support, community, and ecosystem. Python signifies reliability and trustworthiness complementing to being exciting and highly performant. This makes Python a perfect choice for enterprise projects.

When and Why Should Python be used in projects?

• Favorite Language: Python was the most wanted language of 2019.
• Widely Used: Many of the world’s most successful products like Dropbox, Instagram, Netflix, Spotify, Reddit, Facebook, and Google were built with Python.
• Ease of Use: Google developers invented a simple development rule which says Python must be used wherever we can and C++ must be used wherever it is a must.
• Most popular: Python was also involved in the biggest Silicon Valley success story being the third most popular language used to build Facebook, just behind C++ and PHP.
• Favorite Framework: Instagram utilized the Django framework for running their largest deployment in 2016.
• Use Case 1: Reddit just chose to convert their entire platform written in Lisp into Python in 2005.
• Use Case 2: Engineers at Spotify made use of data analysis and back end services written in Python.
• Use Case 3: Netflix made use of Python for data analysis.

Advantages or Benefits of Python

• Rapid Application Building : Python has numerous libraries and is focused on reusing the quality code.
• Easy Integration : Python is the glue language that is easy to integrate with other components, acting as a patchwork for all programming languages, frameworks and external services, etc.
• Many modules and packages ready to use : Python modules are ready to use and can be integrated with various integrations. There is a lot to experiment with.
• Smooth Programming Cycle : The presence of Python’s interpreter makes the standard programming cycle (editing, testing, and debugging) easy.
• Python features fast Iteration that is a prerequisite for Rapid Application Development.
• Python accounts for great productivity which is probably one of the main reasons behind the popularity of Python.
• The simple syntax makes it easy to write, modify the code.
• Python is easy to learn and reuse.
• Documentation is not required as the code is well-written and can be understood without comments.
• Python has extensive support libraries that provide a string of operations, Internet, Web service tools, operating system, interfaces, and protocols.
• Python integrates enterprise application integration making it easy for web services by invoking COM or COBRA components. It possesses XML and powerful control capabilities calling directly through C, C++, Java via Jython or any other markup language running on modern operating systems through the same byte code.
• Use of Python to protect C++ Legacy Programs : It is still very difficult to create manual and complicated undertakings like in case of large telecommunication applications with application front-end that look simple to end user but have a fairly large and difficult interface. Additionally, an increased number of platforms and associated service access routes of desktops, servers, mobile, etc. Python helps invoke C++ programs from within a Python environment thus offering several C++ integration facilities.

What Python development can do for your business?

• Python has excellent business potential. It can build, automated and continuous compilation and testing, project management and bug tracking.
• Python is the major fuel behind scientific programming applications (NumPy and SciPy).
• Python has some libraries that are already useful for building blockchain-driven applications.
• Enterprise software needs to be integrated with legacy systems like databases and non-web applications. Python makes it easy to integrate with other languages quite easily with high-security standards.
• Python is simple and lowers cost by code reuse, easy integration and cutting time-to-market for all the products.
• Its simple syntax makes remote collaboration easy.
• The presence of open-libraries makes for precious solutions for financial, banking and insurance applications, thus bringing high business opportunities.
• It is safe to use and can handle very sensitive data related to finance and healthcare.

Besides This, 9 Legacy Programming Skills Still In Demand

Here are some:

• DB2
• C (It has spawned several languages, including C++, Java, JavaScript, C#, Perl, Python, Swift and many others)
• Cobol
• Assembly language
• Perl
• Delphi and Object Pascal
• Fortran
• REXX
• Pascal

Escaping the Generous Ambit of Python

Python is a high-level programming language providing for easy use of code lines, maintenance that can be handled and debugged easily. It has now traversed the world to become a computer giant all the more becoming one of the official programming languages of Google. Plus it is one of those technologies that is going to last as it makes integrations, code reuses easy and empowers C and C++ to support legacy applications.

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Along the same lines, employees were stressed due to increased work load and pressure to accomplish tasks in time. This made way for enterprise mobile app development, to facilitate prevalent troubles.

Enterprise apps make it easy to manage and track for the employer while it adds convenience for employees. A win-win situation for both. No wonder, why enterprise app development is on the rise. However, in order to relish the perks of an enterprise app, even the top enterprise app developers need to work their fingers to the bone.

To make the process a little easy, we have a curated list of considerations that’ll help you to cross the line with ease.

Unsecured data transfer

According to a study, more than 33% of the companies don’t have encryption methods in place while they exchange files or documents within departments. The transfer of information is done via insecure mediums. It is the sole responsibility of the enterprise app development company to incorporate advanced security means to prevent a state of adversity and deliver a fully secured solution to the client.

Multi-tier authentication

Passwords are outdated as they do no good in preventing unauthorized access. Intruders are competent to crack the password and abscond with the desired information. Therefore, it is necessary for your application to have multi-tier authentication where, along with the password, the user needs to enter a random code generated in real-time by the app that’s sent to the registered mobile number or email address. Without this code, access will be denied even if the password entered was correct.

Data Caching

Cached data is the first thing that hackers prey on. It is a cakewalk for them to get hold of the cached data. Companies need to address this issue right from the start and limit the caching of data. Also, rules need to be applied that can automatically erase the cached data after a period, probably a month or every time a smartphone/device restarts.

Security is still a concern

Whether you build an Android app or an iOS app, security is one aspect that’ll continue to give you sleepless nights, time and again. Even if you have the best security procedures in place or have firewalls installed, hackers would come up with a new evil way- leaving you and your business in ruins. iOS was regarded as the safest platform, which was hard to break or the apps are free from malware. But the scenario has changed. No operating system is secure and you, as a business owner, need to have multiple layers of security instated.

Final words

Data security needs to top the list of your priorities, no matter what type of application you build. When it comes to enterprise apps, the level of security and privacy needs to be raised a little more, primarily due to the exchange of sensitive information, files and documents. Get associated with the best enterprise app development company in the business to make things work in the desired fashion.

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The anticipation level is such that 70% to 80% of the internal communication is expected to take place via these apps using mobile devices like smartphones and tablets.

Earlier the organizations were hesitant in deploying enterprise messaging apps due to the risk of confidential information being exposed to outsiders as well as the worry of workers’ productivity being lowered was also prevalent. However, conceptions like these are currently being dumped by the companies as they are actively participating in enterprise application development.

The real-time benefits of having an enterprise app are unquestionable and with messaging technology put to an optimum use, it can open gates for new possibilities which were bleak at one point of time.

Companies involving in building enterprise messaging apps for their businesses need to consider these important factors before they take a step forward in the same regard.

1. Encryption

The feature that can’t be overlooked at any cost is encryption. With sensitive information circulating within the enterprise, it’s necessary to have solutions that are safe and secure. The information gets transferred and stored on the servers, which require a healthy medium to safeguard the same. The company must have full control over the data being transmitted, processed and stored at specific server location with an encrypted password- diminishing the probability of getting breached by the hackers.

The prime goal of an organization is to protect the corporate servers from external breach because a leak in the system is the most undesirable thing for a company, or isn’t it?

2. Artificial intelligence

For increased productivity, artificial intelligence can be utilized to perform tasks that don’t require humans. The bots can be used to interpret the communication, learn the necessary responses that can in turn help in automating the process. Also, the bots need not be summoned each time as they can automatically be triggered whenever the situation arises. Messaging bots are capable enough to read and understand the human language or the machine-generated text, which further can be analyzed to take necessary actions across integrated systems. They can certainly improve the productivity as the time saved can be utilized in a variety of other ways by skilled employees.

3. Scope of integration

Your application needs to be flexible when it comes to third party integrations. Your messaging app can’t rely on in-built functionalities as most of the vendors and companies look outside for CRM, ticketing and email support. There will always be a requirement for third-party API integrations, therefore it is necessary to take note of the same during the enterprise app development process. Your developers should be aware of the fact that in future your app needs external APIs for smoother functioning. Hence, the need of the hour is to build solutions that connect seamlessly with the desired API.

4. Conversation format

Workstream messaging in earlier days worked on the simple principle of basic group chats, popularly known as Internet Relay Chat (IRC). In this, the conversations were presented in a chronological format and new content (messages) got appended to the active stack. However, when the team size and conversations length increased, it became difficult to follow the topic, which raised questions for developers to integrate something that’s easy to comprehend and is user-friendly. This gave rise to threaded conversations and workstream messaging app providers like Slack, Spark included the same in their offering list.

5. Discovery of people and content

The communications done is only beneficial when you can retrieve the desired set of information as per your needs- without which it’s a waste. The extensive databases attached should have an advanced search option allowing users to search what’s desired at that moment of time. For an ultimate product to do rounds in the tech fraternity or at least within your organization, you need to include search capabilities in your app, which can be extended to new heights with time that includes nested search for narrow downing results, extending the search scope to different chat rooms, search filter options, synonym support (means the system should understand that ‘photo’ and ‘picture’ are same) and more.

Final Words

Enterprise messaging app can do wonders to your organization’s routine processing driving you to new undiscovered heights. It can work across different verticals and for varied use-cases, but only if essential features are included. Take note of the above-mentioned factors when you commit to enterprise application development for supreme results and efficiency. You can get in touch with professional enterprise app development agencies for expert consultation.

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