Big Data and Machine Learning is rapidly growing, and companies are using big data to reap the rewards and stay in the market for the long run. Big data has recently advanced to a new form of evolution in the state of Artificial intelligence (AI) platforms. This platform disrupts and impacts the world in a significant way. AI will bring more improvement to Business Analytics and Business Intelligence by processing huge datasets.
Initially, the big data concept was used for developing and advancing Artificial intelligence, which ultimately paved the way for smarter AI with deep learning, machine learning, and new data architecture. Artificial intelligence is being used with machine learning for changing the data management industry and for internet and research activities like driving vehicles, answering phone calls, and making predictions on sales. Machine learning helps to make predictions by using algorithms for analyzing data and learning from them. Are you looking to become a Data Scientist? Go through 360DigiTMG’s PG Diploma in Data Science and Artificial Intelligence!
The AI Platform
The AI platform is a designed framework that helps function more intelligently and efficiently. It offers efficient, effective, and fast collaboration with data science professionals and scientists. AI platform offers data governance and completes work timely with the help of ML engineers and AI scientists. This platform automates the task, prevents effort duplication, avoids expensive work like extraction of data, and reduces cost. Become a Data Scientist with 360DigiTMG Data Science Course in Pune with placement guarantee. Get trained by the alumni from IIT, IIM, and ISB.
There are five layers of artificial intelligence platforms –
- Data and integration Layer
This layer helps in data accessibility. It is difficult to access data since developers do not do hand-coding the rules. AI instead has to learn the rules
- Experimentation layer
This layer helps data scientists in developing, proving, and testing a hypothesis. If this layer is well designed, it will offer feature selection, model selection, and automated feature engineering.
- Operation and deployment layer
Many containerized models are managed and deployment across the AI platform by tools provided by this layer. This layer helps to offer deployment and model governance. The model governance team tests the risk assessment of the model in this layer and gives validation.
- Intelligence layer
This layer supports the working of the AI. This layer is the main component that helps direct service delivery and ensures the delivery and organizing of intelligent services. This layer supports cognitive interaction as it consists of implemented concepts for providing a flexible response platform
- Experience layer
Gesture control, conversational UI, and augmented reality are some technologies used by this layer to interact with customers. The cognitive experience team controls this experience layer for offering AI technology-enabled rich and valuable experience. Also, check this Data Science Course in Bangalore with placement to start a career in Data Science.
Machine learning workflow
AI platform helps in the workflow of machine learning (ML) parts. AI platform helps in the overall process of ML. It is a subfield of AI. Tools are provided by the AI platform for uploading trained ML models to cloud so that prediction requests can be sent to the model
- This platform offers APIs for examining running jobs
- It offers interfaces to manage versions and models
- It offers services to evaluate and train your model in the cloud
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The AI incorporates Machine Learning.
Artificial intelligence platform supports the capabilities and system of machine learning. Artificial intelligence is supported by employing the latest machine learning and big data architecture. Big data can be analyzed using AI that can give a better understanding of business dynamics.
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