AI (Artificial Intelligence) is a growing force in today’s industry. With the functionality to rapidly analyze the abundant amount of data, enterprises can now enhance customer interactions as well as drive workflow-process proficiencies. From voice-enabled assistants and facial recognition to virtual reality and proactive listening, the AI sector is booming rapidly. Virtual assistants and chatbots become vital parts of new products. Adding to this, robots are gaining more attention at conferences as well as showing power in their roles in diverse industries like healthcare, retail, manufacturing, and supply chain. Meanwhile, leading companies like Microsoft, Google, and Salesforces integrated AI as an intelligent automation into their entire tech pack.
Undoubtedly, artificial intelligence having its moment since enterprises have started to employ AI software for everything from handling social data to enhancing engagement in customer relationships. This blog presents some prominent functionalities of the artificial intelligence software to address each specific need of the business and ensure its success:
Learn more about the Artificial Intelligence in Business
AI is being widely used in business tools to build smart applications. These platforms include natural language processing, deep learning, cognitive computing, and machine learning (ML) to address the certain needs of the business. Artificial intelligence software can be termed as the software skilled in intelligent behavior. This software works by simulating a number of abilities like learning, reasoning, perception, problem-solving, and knowledge representation.
At present, the artificial intelligence software involves actively in applications like smartphone assistant, question-answer reality, voice & image recognition software, and ATM that read cheques. AI software provides developers with software to build intelligent apps either by adding speech recognition or machine learning to a solution or building an entirely new app from scratch using an AI platform. The AI tools are often libraries, algorithms of codes, or developer tools that can aid the user to employ deep learning and machine learning functionalities for applications.
Artificial Intelligence software is a general space with a variety of subcategories. They are as follows:
This is an ideal platform for businesses trying to create their own intelligent apps on top of their existing platform. Similar to the existing platform, these AI platform tools provide a drag & drop feature with prebuild code and algorithm framework that assists to build an app from scratch.
The more refined area of AI software is Chatbots as it includes extremely specific resolutions in the business world that is automation and customer experience. This platform employs Natural Language Processing (NLP) to communicate with the customer through text or voice conversations.
The machine learning software includes a comprehensive range of frameworks and libraries that can achieve a variety of machine learning jobs when implemented correctly. This software allows apps to take decisions as well as predictions based on data.
Deep learning is something different from machine learning algorithms as it employs artificial neural networks to create their decisions and predictions. Also, Deep learning includes some further subcategories like natural language processing, image recognition, and speech recognition. Each of these subcategories provides users with a wide range of predominantly valuable functionalities to ensure business success.
We can say natural language processing as a subset of artificial intelligence. Without NLP, AI merely can understand the languages and provide answers to simple questions. NLP empowers the AI software to understand the real meaning of words. Its core objective is to make computers or machines as intelligent as possible to understand the human language. The NLP applications enable users to interact with a system in their own natural language. The real-time applications of NLP in artificial intelligence software include question answering, sentiment analysis, text classification, automatic summarization, information extraction, and much more.
While each AI tool offers a broad range of new features for businesses, almost all AI software includes some standard characteristics, as listed below:
The following table presents the list of features that leading AI software vendors offer:
In addition to the above-mentioned standard functionalities, it is worth to have a look at some attractive features in leading AI software.
It is a notable feature from Microsoft Azure AI platform. The primary goal of this feature is to extend the service life of the device and prevent failures. With the anomaly detection characteristic, the tool alerts the user when equipment behaves erratically than expected. As this solution is more accurate than simple rule-based traditional failure detection methods, it prevents the expensive outages and failures.
A feature from Azure AI, that enables the tool to pull searchable named entities from text using machine learning algorithm as well as natural language processing. In most cases, this technique is used to answer several real-world questions like whether an enterprise is mentioned in a news article or whether a tweet comprises the name and location of a person.
Image classification is one of the most popular areas of AI. AI-driven image classification in the Microsoft Azure AI platform reduces manual effort and automatically categorizes images as accepted or rejected. It enhances the efficiency of the validation process as well as the quality of the entire manufacturing process.
With Salesforces Einstein’s image classification feature, users can recognize logos, food, objects, and scenes in social media in order to find new visions regarding their brands like where particular products are being employed even if the name is unmentioned.
HyperTune from IBM Watson enables the user to provide significant results more rapidly since it automatically tunes deep learning hyper-parameters. With this feature, data scientists can handle a multitude of tuning experiments in a cloud environment. This capability saves several hours of boring and error-prone work.
This IBM Watson feature supports businesses to take decisions just by balancing various objectives. With the support of trade-off analytics features, users can avoid unwanted options and find the right one from various objectives.
Aivo’s Agentbot have the option to suggest related content when it doesn’t have the information requested depending on the similar interaction of other clients.
Overall, AI software is undoubtedly a very powerful tool for the building of experiences, never made-up before. We do hope that AI apps entering our lives will remain serving the people in a beneficial way.