Artificial intelligence (AI) has emerged as one of the most powerful tools of the 21st century. Owing to its growing importance and scope, it’s anticipated that the worldwide AI market will reach more than half a trillion USD by 2024 and 1.5 trillion USD by 2030.
Implementing AI technology has become more accessible, developer-friendly, and cost-effective thanks to the availability of many excellent AI tools. In this post, we’ll discuss ten of the best AI tools and services developers should consider using to build AI solutions.
Some tools and their key features
TensorFlow, developed by Google Brains, is an open-source and free-to-use machine learning platform that allows beginners and experts to build AI-powered solutions. TensorFlow comes with a rich set of tools, libraries, and community resources that help developers develop and deploy Machine language-based applications effortlessly.
2. IBM Watson
IBM Watson is one of the most successful AI tools used by top companies to build efficient and economical AI solutions. According to reports, approximately 70% of global banking institutions use IBM Watson.
IBM Watson comes with smart features such as Smart Document Understanding which allows it to learn and quickly figure out answers and problems on its own in unstructured documents. IBM Watson easily integrates with Chatbots to power up virtual assistants and solve user queries more efficiently to boost customer satisfaction.
3. Infosys Nia
Infosys Nia is a next-generation artificial intelligence platform launched. This next-gen tool by Infosys is the most advanced AI tool by the company and helps compute the most challenging problems and predict the future more efficiently and precisely.
Nia will help forecast the environmental parameters and business future and devise plans to help a business thrive. Nia will help solve the most challenging business problems, such as forecasting revenues, comprehending customer behavior, buying patterns, and predicting fraud and anomalies in legal documents.
4. Oracle AI
Oracle AI provides businesses with a collection of AI and ML services that can help them build AI-powered solutions effortlessly in minimal time. Oracle provides pre-built and trained models that organizations can customize and directly use on their data.
Oracle helps organizations build smart AI-powered chatbots that can smartly answer every customer query and analyze shopping habits and history to provide solutions to every user problem. Using OCI vision, the platform allows users to extract data from images and hard copies. It also supports predictive maintenance and asset management with OCI anomaly detection tools.
5. Microsoft Azure AI
Microsoft is known for its robust set of products, and Azure AI is one such product that brings a vast collection of AI services for businesses and developers. Azure AI services bring quality services and high-end tools backed by solid research on a developer’s table, using which they can build and deploy their own AI solutions.
The best thing about Azure AI is that it allows developers to use the same AI services and tools used by Microsoft teams and those used in AI-powered HoloLens and Xbox. Azure AI can be easily integrated with IDEs such as Visual Studio Code, Jupiter Notebooks, and frameworks such as TensorFlow and PyTorch to build ML models.
Scikit-learn, specially crafted for the python programming language, is an open-source platform that brings efficient tools and services for data analysis. It facilitates features like Clustering, Regression, Detection, and Dimensionality reduction for your AI solutions.
Regression analysis allows companies to precisely predict and measure a particular parameter related to the industry, such as stock prices and product popularity. The clustering feature enables a model to precisely group similar objects or people with common choices and behavioral patterns.
Theano can be used as an Artificial Intelligence and ML tool to evaluate and optimize challenging mathematical problems and complex computations. It is best suited for GPU than CPU as it can perform data-rich complex computations up to 140 times faster on GPU.
Theano is a python library ideal for building deep learning models and data analytics. It can solve problems much faster than C implementations, making it the best choice for computations involving large chunks of data.
PyTorch is an open-source and free-to-use machine learning framework by Meta AI launched ideal for individual developers and businesses. It is based on the Torch library and written mainly in Python and C++.
Like Theano, Pytorch is ideal for deep learning projects thanks to its rich Torch library. PyTorch has been used for developing parts of deep learning software used in Tesla AutoPilot and Uber’s Pyro. Similar to Theanos, it works better and faster with GPU than CPU.
Tableau is a product of salesforce that helps businesses manage and understand their data. It has emerged as one of the most trusted AI-driven analytics platforms. Tableau analyzes data and presents it to businesses in an easily understandable way.
Tableau is a very easy-to-use software that reduces the time a data scientist needs to present predictions by making it easy for them to use the software without spending much time learning it. Tableau is ideal for performing survey analysis, smart analytics, and business intelligence.
Caffe is a deep learning framework developed by Berkeley Artificial Intelligence research at the University of California. Caffe is suitable for startups, large-scale industrial applications, and academic projects. It is ideal for image segmentation and classification and can process up to 60 million images daily with only one Nvidia GPU.
We listed some of the best Artificial Intelligence tools and services available on the internet that businesses should consider using. These tools are trusted, and help enterprises quickly build solutions for their business needs.