Top 7 Development Tools Used by AI Developers in India

Development Tools Used by AI Developers

Artificial intelligence is scientific terminology that is used for simulating human intelligence with the help of computer systems, neural networks, and AI-based applications that use sophisticated machine learning algorithms, natural language processing, and computer vision.

Artificial intelligence finds wide range of application in various sectors like health care, military and defense, agriculture and industries. In developing nations like India, there has been a massive rise in the need to hire AI developers.

These developers use development tools or an integrated development environment to build customized AI solutions that align perfectly with unique business needs.

In this blog, we will explore the top 7 development tools used by AI developers in India.

Top 7 Development Tools Used by AI Developers

Find out about the important tools that drive AI development and give you the right mix of power and freedom to make smart systems and apps.

AI Development Tools

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#1. TensorFlow

TensorFlow is an open-source library that is the most popular choice for AI developers in India. They build AI models with machine-learning and deep-learning capabilities. TensorFlow has a flexible architecture that allows us to easily train AI models and deploy them across different platforms.

#2. Keras

François Chollet developed Keras in 2015 as a kind of unique toolbox to make it simpler for people to experiment with and create new things using deep learning, which is a type of extremely intelligent computer learning.

It has an excellent user-friendly interface, which makes it easier for AI developers to use it for high-end AI model prototyping with AI capabilities.

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#3. PyTorch

PyTorch is one of the most popular platforms for building ai applications with deep learning capabilities. For dynamic computation with graphs and effective memory usage, which are crucial for deep learning AI-based systems, the Facebook AI research lab developed and released it in October 2016.

#4. Apache MXNet

The Apache Software Foundation released Apache MXNet as a deep learning framework that is capable of building large-scale AI applications for unique business requirements. AI developers use Apache MXNet for developing AI-enabled applications that can be trained with deep learning algorithms.

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#5. OpenCV

Intel created the open-source computer vision library known as OpenCV to aid AI programmers in developing, testing, and deploying real-time image and video processing applications. It is mostly written in C++, Python, Java, and Matlab bindings.

#6. Microsoft Cognitive Toolkit

The Microsoft Cognitive Toolkit is one of the best professional suites for developing neural network architectures and AI-based solutions with deep learning training capabilities.

The AI-based solution developed by Microsoft Cognitive Toolkit can integrate seamlessly with Microsoft tools and Azure cloud services, making it scalable for adapting to changes in business dynamics.

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#7. Scikit-Learn

Scikit-Learn is basically a machine learning library that Python developers use for building AI-enabled applications with data mining and data analysis capabilities.

For those AI-based projects where we need data mining to extract data from different data sources, transform it after processing it using integrated ETL tools, and analyze a tremendous amount of data to enable business owners to make informed business decisions at the right time,.

Benefits of Hiring AI Developers in India

India is a global pool of talent as it has many colleges and educational institutes where professional ai courses are provided to graduate students. From the survey, it was found that students at IIT and IIMs are pursuing AI-related courses as there is lots of career scope in the field of artificial intelligence.

Here we have a mixed culture and a neutral accent, which makes communication easier for offshore AI projects with clients. Indians are willing to work the night shift with an extra-night allowance to accelerate project timelines.

Lastly, Indians have innovative thinking abilities for cost reduction and cutting down waste. When we hire AI developers in India, we can build cost-efficient AI implementation strategies that can help us solve complicated business problems with the help of customized AI solutions.

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Tips to select the best AI development company in India

Before selecting any company for AI development services, we must consider key factors like the experience of the company in handling AI projects and its expertise in AI development tools, libraries, and kits for building AI-based systems.

We must check the proven track record of the company by seeking recommendations from previous clients and checking their official website, where they display the customer’s testimonials. We can also find Google My Business profiles and check out their ratings, reviews, or comments to evaluate the trustworthiness of the company.

By analyzing the classified sites or business directory sites, we can get useful information like a phone number, office address, or email address. We can reach out to the concerned parties to formulate the best plans for implementing AI in business.

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We can also hire AI consultants to ensure that AI development projects are aligned to meet unique business requirements. These consultants have profound knowledge of AI as a service platform, AI development tools, AI applications, and AI microservices.

They can help business owners integrate AI-powered tools with existing business or enterprise software or CRM tools.

In this way, they can analyze vast amounts of data and extract meaningful observations with valuable business insights that help us make informed decisions in business to drive sustainable business growth and maximize ROI.

By partnering with the right AI software development company, we can ensure that our businesses are safe from any data security attacks, vulnerability issues, and network intrusions. AI software can be utilized in a specific business area to maximize efficiency, speed, and accuracy at work.

ReadBenefits of Working with Top AI Consultants in India

Conclusion

The selection of the right AI development tools, libraries, and machine learning frameworks enables us to build high-performance, efficient, robust, scalable, and secure AI-based solutions that can automate workflows in business, enhance business capabilities, and bring innovation with cutting-edge technologies.

The choice of AI development tools might vary from one AI developer to another and require specialization in a specific programming language for building cloud-based AI solutions.

We must choose the right AI development company that understands our business challenges and builds cost-effective AI strategies for solving complicated business issues.

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