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Modern trends and techniques for improving business decisions cannot do without artificial intelligence (AI). This must be the most discussed topic today, as the evidence suggests. Forbes Advisor says over 60% of businesses expect to enhance customer relationships and productivity by implementing AI in their workflows.
Indeed, AI-based technologies can perform mundane tasks like problem-solving, reasoning, or data processing, leaving human beings with more time for creativity and critical thinking.
In this article, we will delve into the key features and components of AI platforms. But first, let’s find out what an AI platform is. If you are looking for best AI detector, check this out.
AI Platform Definition
An AI platform is a combination of technologies used for developing, deploying, testing, and embracing machine learning (ML). It is a framework that works way more efficiently than conventional frameworks.
AI software supports digitalization and demonstrates the same or better outcomes than humans in some activities. These technologies can analyze an enormous amount of data, deliver data-driven decisions, help make predictions, and perform actions.
Components of AI Platforms
A productive AI software has the following components that enable the full utilization of automated ML.
Data Processing
A considerable part of the AI platform’s work is dedicated to data processing. For a user, it means that the technologies will correct mistakes in the information provided, transform this information into valuable content, merge it from various sources, or validate it.
AI can analyze your business data for different purposes. For example, if you need to identify the location of your customers, the platform will apply geocoding and look for the coordinates. You can also use data labeling if you need to identify specific videos, images, or text so that the platform finds it for you.
An essential aspect of data processing is data governance. AI-powered platforms enable data control to those parties who were granted access to use it.
Algorithm Adjustment
Even though an AI platform can run multiple algorithms, it doesn’t mean they are all applicable to your workflows. Instead of testing every logic on your own, good AI-supported software will offer you the most suitable algorithms for your goals.
Model Training
Once you know what algorithms suit your needs, an AI-supported platform allows training them. It gives you customization options since you will not require all of them.
Sometimes built-in algorithms are not enough to cover the users’ needs. Choose the platform that can recognize which features are necessary to run a particular algorithm and which can be left out.
Prediction
ML prediction helps to forecast actions based on historical data. For example, you want to analyze available data and predict whether the customer will return to you within a certain timeframe. An AI platform can make precise predictions based on facts.
This feature is also applicable to detecting fraudulent activity among successful banking transactions.
By employing AI prediction, businesses can make decisions not only for the future. The output can serve as a recommendation on what to correct in the current workflows and frameworks.
Understandable Format
Complexity should not be a concern when implementing AI solutions. To ensure accountability and credibility of the data generated by technologies, the Google Cloud AI Platform integrates an explainable AI (XAI). This model helps users treat the results with no confusion and, more importantly, trust them.
A reliable AI-supported platform provides transparency of the processes it performs. Thus, businesses can see why the platform made its decisions.
Key Features of AI Platforms
Technology is developing rapidly, so some AI features have become commonplace in computers. However, when looking for a modern AI platform, make sure it has these core features:
- User-friendly design. The value of AI platforms lies in the fact that you can increase your productivity. But if the results are hard to comprehend, it won’t be that profitable to use those technologies. The intuitive design of an AI platform is its primary feature.
- Solid security. Security is the most crucial factor to consider in an AI-supported environment. As AI platforms process a lot of sensitive data, data breaches would endanger the whole company. That is why security should be prioritized.
- Scalability. Today you may be a startup with 10 employees, and in a year you can grow into a small enterprise. A scalable software will be able to improve workloads as the demand grows.
- Automation. After all, this is the function that made you choose to implement AI in your business processes. Once you develop a certain framework, an AI-powered platform should be capable of automating it.
- Integration. Collaborating with other solutions like Matplotlib, Jupyter Notebook, or TensorFlow is an essential feature of an AI platform. When integrated with additional tools, the platform can deliver better results.
Conclusion
AI platforms are indispensable for automating processes, on which humans may no longer spend time and resources. AI technology can empower development processes and provide real-time solutions.
The key features of AI platforms, such as scalability, user-friendliness, robust security, and integration, allow users to benefit from the technologies fully.
AI-powered software streamlines processes, from data preparation and processing to training, selection of the best-performing models, making predictions, and taking action. For businesses, incorporating AI tools can play a decisive role in automating routine processes and increasing productivity.
