Author: Vishal Patel

Vishal Patel is an experienced Solution Consultant with a proven track record in the information technology and services industry. With a strong skill set encompassing Business Processes, IT Service Management, and IT Strategy, Vishal is a well-rounded professional. Holding a Master of Business Administration (MBA) degree focused on Information Technology from SYMBIOSIS INTERNATIONAL UNIVERSITY, he is equipped with the expertise to thrive in his field. With a passion for AI/ML/Blockchain, Solution Architecture, Cloud Native Solutions, and Scalable SAAS Products, Vishal shares his expertise and experiences to keep you up to date with the latest trends and advancements. Don't miss out on the opportunity to learn from Vishal's valuable insights by following him on social media.

How AI with python can be useful in digital world

Posted on by Vishal Patel

A high-level programming language with a simple and easy syntax, Python supports some of the most amazing programming features such as code reusability and modularity that make it an ideal object-oriented language for developing software programs, applications and much more. Focusing on RAD (Rapid Application Development), the main information about Python language information is that it offers the features that most of its counterparts fail to proffer such as platform independence and amazing flexibility. OpenAI has several open-source tools and projects.

Today, in the era where technological advancement is being considered significantly imperative across the globe and companies worldwide are indulging in comprehensive research to develop technology-based products that can make day-to-day tasks easier, Python comes out as a robust as well as incredibly useful tool.

Let us look ahead to how Python has an unmatchable impact on the AI world and how it could help us in shaping the future in the same field.

Why is python the best choice for the development of an AI based project

With the mantra “DRY” (Don’t Repeat Yourself), Python ensures that the developers do not have to write the same piece of code twice which not only saves time but greatly enhances the development efficiency.

AI and Machine Learning based projects are quite different from conventional software development projects. The underlying difference comes from the comprehensive research needed for every project and the careful integration of logical algorithms at every stage of development, and thus, it requires a programming language or development framework that offers the right technology stack, flexibility and outstanding stability. Python has all these characteristics and at the same time it offers access to incredible frameworks & libraries.

Python’s consistency, simplicity and capability to support the development of reliable systems add to its popularity among AI and Machine Learning developers. Here are the prominent reasons why you should hire a Python developer for your next AI based project.

Python offers platform independence

While creating a comprehensive AI-based application like Chat GPT APP, one of the biggest issues that a programmer/developer might experience is that they have to develop the application individually for every leading digital platform.

Python offers “Platform Independence” and is supported on all the major platforms including macOS, Linux and Windows. Using Python, the developers can create applications or software that can be deployed on any of the leading operating systems without requiring an interpreter. By simply using packages such as “PyInstaller” Python based executable code can be prepared to be run in various platforms. This in turn, saves a lot of development as well as testing time that would be spent otherwise for testing the code for different platforms.

Exhaustive libraries and development tools

With its wonderful collection of amazing libraries and cutting-edge tools, developers can use pre-written pieces of code to add functionalities to their applications. There are various common functions/features that a large array of applications requires (especially when they are being developed under common niches) and Python proves to be one of the best languages in this situation.

By facilitating pre-written excerpts of code, it greatly accelerates the overall development. The outstanding collection of Python’s libraries allows the developers to efficiently handle, access and transform data.

Consistency and simplicity

Python is highly popular for its readability as it offers concise & easy to read codes. The codes written in Python are quite self-explanatory, and thus, it becomes easier to use, share and enhance the code written by another developer in Python.

There are very rare chances of conflicting paradigms or confusions over the written code, and this is why Python promotes an efficacious exchange of tools, codes and algorithms. It promotes collective development where developers can contribute their pieces of code that can be leveraged in various applications. Its coherence, ease of understanding and flexible workflows make it an ideal language for AI development and hiring a Python developer to get started on your next AI or Machine Learning project.

Greater community support

No programming language or development framework can thrive without community support. Being open source, Python gets colossal community support.

Python’s community encompasses a diverse and huge network of developers, AI experts and programmers who are helping the ones needing assistance. To put it simply, if you ever get stuck with your Python-based project, you can seek help and innovative ideas from thousands of Python experts across the globe. There are several Python forums, where AI experts, Machine Learning developers and programmers often discuss the bugs and issues that they face with Python development. Also, a lot of them contribute to Python documentation which is easily available online.

Outstanding data comprehension and visualization options

With an exhaustive collection of libraries, there are numerous visualization tools available within Python. In AI-based projects, it is quite important to be able to showcase the data in an easy-to-read format.

Python offers an array of libraries such as “Matplotlib” which help data scientists to create visually appealing yet easy-to-understand plots, histograms and charts for better presentation, data comprehension, and appealing visualization.

Unmatched flexibility

Another incredible feature that makes Python an ideal choice for AI-based projects is its amazing flexibility. Programmers don’t have to re-compile the source code, and also, they have the option to choose from scription or OOPs. Moreover, programmers can also combine other languages with Python to shape their projects.

There is a large gamut of programming styles that the developers can choose from depending on their projects/ requisites. These styles include procedural style, object-oriented style, functional style and imperative style – each supporting different types of development. With greater flexibility, the chances of error are reduced significantly.

Conclusively, all the above-mentioned features give Python an edge over its counterparts and make it an ideal choice for Machine Learning & AI development. Moreover, the way Python’s pre-built libraries and frameworks are growing continuously, it is getting strengthened for AI development. So, if you are looking forward to creating an AI-based solution, it’s the right time to hire a Python developer.

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Why is AI programming with python popular?

Python’s role in AI can be divided into two parts: building and deploying AI models. Python is used to build AI models by leveraging its powerful libraries and frameworks such as TensorFlow, PyTorch, and Keras. These libraries provide developers with pre-built functions and models that can be easily customized and integrated into their projects.

Python is also used to deploy AI models. Deploying an AI model involves taking the trained model and integrating it into an application or system. Python’s flexibility allows developers to integrate AI models into a wide range of applications, including web applications, mobile applications, and desktop applications.

Python-based AI projects

Python has been in several high-profile AI programming with Python projects. Some of the most notable examples include:

Google’s AlphaGo

AlphaGo is an AI program developed by Google which can defeat the world champion in the ancient Chinese board game, Go. AlphaGo was created using Python and TensorFlow.

Siri

Siri is Apple’s virtual assistant, which uses natural language processing (NLP) and machine learning (ML) to understand and respond to user requests. Siri’s ML algorithms were developed using Python.

Tesla autopilot

Tesla’s Autopilot system uses AI to enable self-driving capabilities in its vehicles. Python is used extensively in the development of the Autopilot system.

Final thoughts on AI programming with python

Ai programming with Python has become the language of choice due to its simplicity, flexibility, and scalability. Its large and active community has also contributed to the development of a vast array of libraries and tools for AI development.

Artificial intelligence is now smart enough to know when it can’t be trusted

Posted on by Vishal Patel

While the technology experts across the globe these days are boasting about what AI can do and how it can bring positive changes to our day to day lives, there’s another group of people that is scared about AI taking over the world. Undoubtedly, the whole concept of know-it-all and uncontrollable AI networks is terrifying, but there are tech developers who are working on leveraging the technology to simplify a plethora of complex tasks.

AI is one of the most talked about technologies in today’s day and age, and owing to the fact that it entails numerous aspects that if put to right use, can make innumerable things easier for us. There are technology experts working on AI to make it smarter and continuously outweigh itself in its capability of offering tangible benefits.

How smart is AI?

Artificial intelligence development is a rapidly growing field with the potential to revolutionize many aspects of our lives. AI-based software solutions, often developed in conjunction with machine learning, are already being used in a wide range of applications. Examples include virtual assistants like Apple’s Siri and Amazon’s Alexa, which leverage machine learning to assist users with tasks. However, this is just the beginning. The demand for skilled AI developers is high as companies around the world seek to harness the power of AI for more complex tasks and functionalities.

If we consider the current incarnation of AI, it is not one of the smartest things. AI can be leveraged to do a few things and enhance certain applications, but, there’s a long way to go for AI to work completely on its own with efficient decision-making capabilities. However, if you have web-based applications, indeed their functionality can be greatly enhanced by introducing the AI components.

Neural networks and AI smart enough to figure out when these cannot be trusted?

AI (Artificial Intelligence) systems, also referred to as “Deep Machine Learning Neural Networks” is being increasingly used in multiple sectors but their contribution to health and transportation is quite significant as compared to other niches. With colossal information and deep knowledge, the AI is enabling the users in these sectors with smart decision-making. By presenting the right facts and data to the users from different perspectives, and by researching the data availability on a specific subject, AI-based solutions make things easier for their users.

These AI-based solutions compare huge data available on any required aspect and run comparison algorithms to deliver information that can be leveraged for making informed decisions. Also, with machine learning, the AI-based apps analyze the user’s behavior and present the options that it thinks would be useful to the users. By being intuitive and proactive, AI-based mobile and web applications are garnering immense appreciation from users.

This is one of the reasons that there is a high demand to hire AI developers to create applications that can perform some tasks in an automated fashion whilst the technology experts are working on enhancing the scope of AI. Technology experts from various research institutions these days are working on enhancing what AI can do and at the same time, they are critically examining as well as evaluating the AI-based solutions to understand their limitations.

One of the facts that have been established is that AI technology is greatly helping professionals across various industrial niches make smart and fast decisions.

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Now, the question arises that the way AI networks and solutions compare information and decide on parameters on which the comparisons would be run is 100% correct.

Well, AI-based solutions in current times are as good as how their creators or developers want them to work. Another vital factor that contributes to the trustworthiness of AI networks is the data that is being used by these systems to aid decision-making. As long as the data is credible, useful, correct and doesn’t change the information when viewed from different perspectives, AI-based systems can be trusted. There are many tech companies across the globe that offer the development of AI-based solutions and one can easily hire artificial intelligence developers, but the effectiveness of any such system is not just concluded by its technical architecture. The quality of data that is being fed into the system matters a lot.

How AI systems are being tested?

There are experts who are testing AI-based systems in various scenarios and conditions to find out how much computing a system needs to do before arriving at a decision.

The experts are deploying several ways for uncertainty estimation in neural networks. But these methods seem to be relatively slower and computationally expensive as they involve comprehensive testing. However, technology experts indicate that “Deep Evidential Regression” can be used to accelerate the process and derive useful outcomes.

One of the most vital conclusions that have been derived from all the testing is that we need to make neural networks not only capable of delivering efficient decision-making but also, they need to be equipped with the capability to understand when these cannot be trusted. This can be applied broadly and can be used to assess the AI-based solutions that totally rely on the learned models.

By carefully and accurately assessing the uncertainty in the AI-based learned models, we can evaluate how much error can be expected from the system and what data/tools can be deployed in order to reduce the uncertainty. The gist of the entire uncertainty-related experimentation and assessment is to ensure that AI-based solutions not only deliver optimum performance under various scenarios but also can identify when they cannot be trusted, and thus, one stops depending on them in those situations/scenarios.

In light of the future of AI development, companies from various niches are increasingly seeking to hire AI developers. As they do, it’s crucial for these companies to clearly understand both the capabilities and limitations of their AI systems.

How artificial intelligence can support your mobile apps?

Posted on by Vishal Patel

Artificial Intelligence, in today’s day and age, is much more than a buzzword in the field of technology. Technology experts and developers across the globe are looking for innovative ways to introduce AI (Artificial Intelligence) and machine learning in the applications, software and systems being used by people on day to day basis. One of the biggest reasons that developers are seeking viable ways to integrate artificial intelligence into various systems is the innumerable benefits offered by AI. Right from providing valuable insights to details about how users can be engaged in better ways, there are many aspects of AI that enable it to deliver a multi-dimensional wide-ranging impact. Being able to perform cognitive functions somewhat like humans, AI has proved itself quite useful for countless mobile apps in various domains and niches.

Many AI development companies are these days focusing on leveraging the data-centric benefits offered by artificial intelligence including:

  1. Close analysis of the data patterns among users
  2. Deriving detailed information about how the apps are being used and driving worthwhile insights
  3. Generating a colossal amount of resourceful information
  4. Providing outstanding personalization to users

Artificial intelligence powering mobile applications with unsurpassed benefits

With mobile applications becoming one of the most convenient and widely used pieces of technology, every organization is looking for ways to revolutionize their mobile apps and introduce progressive features in them in order to keep their customers engaged. Over the past few years, the mobile apps and the user experience arena have undergone significant changes, and with a pandemic hitting the world, our dependency on mobile applications has grown ever further.

Whether you are looking to buy some stuff online or want to contact your bank, whether you want to order groceries or ordering food online, whether you are playing some games or are looking for some information, mobile apps powered by Artificial Intelligence would definitely make your experience pleasant and enhance convenience in multiple ways.

How does AI enhance and support mobile applications?

AI Enables User Analysis and Reasoning To Enhance User Experience

Artificial Intelligence enables reasoning ability in the applications. The AI-based reasoning tools learn from human logic and try to apply that to enhance the user experience. The AI-powered apps work on analyzing the app usage in diverse situations and aspects and then applying the logic to make it convenient for the user to use the application. One of the good instances of this is the Starbucks app that analyses the user’s routine and ordering pattern and then aids the users by suggesting a customized routine.

Another example can be Amazon’s or Myntra’s mobile app that records the user’s activities and buying patterns to suggest similar products and saves users time to explore the products and browse the catalogs.

Any company seeking to develop an intuitive mobile app that makes it easier for the user should look forward to hiring an AI developer to explore this domain.

Assistance-oriented applications and usage of chatbots

Another incredible way in which a number of AI development companies is leveraging artificial intelligence is by developing applications integrated with assistive systems such as chatbots. With its superior adaptive learning models and capability to manage colloidal amounts of data, AI can make any mobile app incredibly intuitive.

Whether you want to book an appointment through a mobile app, looking for specific information or need assistance with payment, chatbots can help you anytime without human involvement. Your customers can get all the information they need, at any time and to any amount of detail.

Using artificial intelligence to make your mobile application secure

No one can deny the increasing number of cyber-attacks that are happening across the globe. The number of cyber-attacks is only increasing and also, and the amount of information we save & share through our smartphones is also on the rise. This implies that our personal or financial information is always at risk unless some robust measures are applied to secure it. What can be a better way of applying information security and making our mobile apps secure than using ever-evolving artificial intelligence?

If you are planning to develop an app for your business, it is highly recommended to hire an AI developer, who can integrate the app with advanced AI-based threat management systems. Machine learning and artificial intelligence can be leveraged to deploy security mechanisms like face recognition, fingerprint identification, app usage analytics, etc. and also, AI is capable of deriving information that can be used to figure out the unauthorized access of applications.

Using AI to develop apps integrated with the Internet of things

By combining artificial intelligence and the Internet of Things, the AI developer company can deliver a highly personalized experience for users that is bound to enhance customer loyalty. Today a lot of smart devices are capable of collecting and transmitting huge amounts of data in real-time.

The mobile apps powered by AI tools can leverage this real-time data to deliver a customer experience that is second to none. For example, if you are in a new city and looking for some help, an app or search engine that can deliver you results by tracking your real-time location and other search terms being used by you would certainly make things much easier for you.

This would be even more advantageous if you are in a different country and their language is different. Any IOT-integrated smart app can help in translating sentences without lag and support easier communication in a foreign language. There are multiple innovation-oriented ways in which an app developer can integrate these two amazing technologies to deliver mobile apps that are not only smarter and fast, but, do a lot of things intuitively.

To conclude, Artificial Intelligence, indeed is presenting the technology world with countless possibilities and innumerable ways for delivering value to the end user. Undoubtedly, when used in mobile app development, artificial intelligence can not only drive revenues for businesses but also deliver an astounding user experience.

Businesses looking to hire AI developers for their mobile apps should consider these benefits and must look for innovative ways to deploy machine learning to develop ever-evolving intelligent apps that can keep on increasing their scope of knowledge through continuous learning