We are privileged to live in the 21st century the generation of Automation. There used to be a time when every work was done manually, but now with the invention & implementation of artificial intelligence, all tasks are operated by AI. This technology of the science of computers & machines has made us dependent on them and is gaining popularity with time and spreading globally.
Though we are using the AI techniques but do, we ever think how these are developed by AI researchers? What do all techniques the data scientist used to work on or on what all platform Artificial Intelligence Development companies work for? Here we have mentioned the top 10 Artificial Intelligence Softwares of 2019.
1. Google Cloud AI Platform: It helps Data Scientists & Engineers to implement their machine learning projects from ideation to physical deployment rapidly & cost-effectively. These platforms give opportunity & encourage building & running your ML application.
2. Site 24X7: It offers cloud monitoring & IT operations for small & huge companies. Overall monitoring abilities help the team to screen & troubleshoot applications, server & system infrastructure.
3. Azure Machine Learning Studio: With this tool, any company of any size can gain profit using Machine learning. It provides a unique platform where an an Azure application development company can enter the world of Machine learning and will get benefited as it offers no-coding require a condition to conduct machine learning experiments.
4. Turbo Hire Resume Parsing Engine: In simple words, it is a resume parsing engine that extracts the data form a resume like work experience, education, personal data, and help in the selection procedure of AI Enhanced candidate.
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5. IBM Watson Studio: It is a proficient Data science & ML platform developed for AI-empowered business. It helps in speeding up data exploration, model training, and scale data science activities. It's perfect for a hybrid multi-cloud environment which requires mission-critical performance, security & administration in private & public cloud. y
6. Merchandise Analytics: It is an analytic solution developed to allow merchandisers and inform their choices & various activities like stock, promotion, pricing, and everything using the artificial intelligence technique, etc.
7. Salesorce Einstein: It is an AI application for sales data processing and is used to predict and suggest business needs. Equipped with automation capabilities, it gives an in-depth analysis of customers, which is used to connect to them at a deeper level.
8. Apache Prediction IO: An open-source machine learning server, it lets developers and data scientist to build & publish machine learning engine to the web as a service and let users have access to machine learning libraries like Spark MLLib and Open NLP.
9. Nvidia Deep Learning AI: Dedicated to deep learning & machine intelligence it let industries and government organization to make their decision with smart & predictive analytics to serve the customer with high-class services.
10. Tensor Flow: It is a machine learning library created by Google Brain for internal company use but now available as an open-source platform. It performs tasks like recognizing places in photos, identifying voices, providing accurate search results, etc.
Moreover, it also allows users to develop their smart applications and enjoy the results.
There is no need to mention that AI has a great future, and its implication in the real-world is beyond imagination, and with time, it is replacing human efforts. Here in the above blog, we have mentioned the top 10 most popular AI software, which is used in mass scale to develop AI applications.
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