Top 7 AI Platforms available for Your Business

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Curated from eldfrog.com →

AI (Artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.

If your business has some technical resources, it might be better to use an AI platform to build a custom service. Many platforms allow you to start work without any coding at all, and if you’ve some web development experience, it will help you to go even further.

AI platform can be classified as: — Weak AI which is generally meant for a particular task. — Strong AI also known as artificial general intelligence which can find solutions for unfamiliar tasks.

AI platform combines these features all together:

Machine learning: It is considered as a subset of AI. It requires good and reliable data to work. Define what you want to do, identify the available data and let the machine take care of your problems. Machine learning utilises the above processes to learn complex decision systems, find patterns and anomalies in data as well as raise alerts if need be.

Automation: By automating the manual processes, one can save time and resources as you can engage your staff in other operations that requires a human touch. This is a must have feature in AI.

Natural language processing and language understanding: These two features are critical to full optimization of your AI solution. This is because you need to have a system that can support full speech recognition and interaction.

Cloud infrastructure: It provides the scalability to grow and access to resources to deploy even the complex AI and machine learning solutions. You need to combine both AI and cloud for you to exploit their benefits fully.

Here are the list of top AI platforms (not in particular order):

Microsoft Azure’s Machine Learning Studio support building enterprise-level AI applications which can sense, process and learn from ‘big data’, finding patterns and meaning that human viewers can miss. It is a fully-managed cloud service that enables you to easily build, deploy and share predictive analytics solutions.

Possible applications development are: Carbon Emissions Data Platform, Detecting fraudulent credit card applications, Image Similarity with SQL Server, Predicting customer churn, Forecasting demand or optimizing prices, and many more.

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. It was originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow offers APIs for beginners and experts to develop for desktop, mobile, web, and cloud

IBM Watson is one of the emerging technological advancement in business.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.