AI projects are being increasingly deployed by businesses today. AI or Artificial Intelligence refers to machines or computers that mimic the functions of the human mind such as learning and problem-solving. Natural language processing, computer vision, and decision making are some of the functions that are expected from an advanced artificial intelligence program. Many of us have encountered AI applications in our daily lives without realizing it.
In this article, we will take a look at some of the top 10 AI projects deployed by businesses that we can see today.
- Microsoft’s Cortana
- Google Brain
- Facebook Bots for Workplace
- IBM’s Watson
- Eva by HDFC bank
- Yelp – Image Curation at Scale
Most of you would have heard of Amazon’s virtual assistant, Alexa. A few decades ago, a device that could automatically play music for you or answer your questions would have been inconceivable. However, Amazon’s experiments with artificial intelligence turned this notion into a reality.
The structure of Alexa’s AI platform is called conversational AI, and it refers to an application that can respond to queries like how humans would. Alexa also uses neural networks that can generate whole sentences of text in real-time. Alexa also comes with a Guard home security mode. While in this mode, it will be able to detect the sounds of glass breaking and smoke alarms going off when nobody is at home. Consequently, Alexa will send an alert to the homeowner in case of such suspicious activity.
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Netflix is one of the most trending movie streaming platforms. One of its most-loved features is its ability to recommend movies to its users. In order to do this, Netflix makes use of accurate predictive analytics to evaluate and deliver viewer content that is relevant to its users. It manages to pull this off by looking at the user’s past behavior and viewed content, along with their reactions to films and shows. The cognitive AI system being leveraged by Netflix becomes increasingly accurate as the number of user-profiles and data sets grows.
Cortana is essentially Microsoft’s version of Siri or Google Assistant. All of the latest Microsoft products come in-built with Cortana. It makes use of the Bing search engine to perform tasks like setting up reminders and providing answers to the questions asked by the user. The natural language processing capabilities of Cortana are derived from Tellme Networks and are coupled with a Semantic search database called Satori. These abilities enable Cortana to carry out a wide range of tasks like recognizing natural voice without the requirement for keyboard input, music identification, phone notifications, etc.
Google Brain is deep learning and AI research team used at a major tech since its development in 2010. The team combines machine learning research with information systems and large-scale computing resources. They have made significant contributions in several key areas like robotics, image enhancement, and encryption systems. One of the latest developments that we have seen from Google Brain is Smart Reply, an instant messaging tool that has been added to Gmail for automating common responses.
Facebook Bots for Workplace
The workplace is a platform that has been developed by Facebook. Essentially, it acts as a social networking site for employees in a particular organization. As an enterprise social media platform, it provides organizations with the opportunity to promote collaboration and communication among their employees. One of the most fascinating AI applications that can be seen in the Workplace is the ability to build custom chatbots. From posting on groups to solving complex employee problems, these chatbots can carry out a huge variety of tasks.
Go is a strategy board game that was invented in ancient China. It is exponentially harder than chess with over 2×10170 possible moves. AlphaGo refers to a computer program that can play Go with deep neural networks and training from artificial intelligence datasets of over 30 million moves. It uses the Monte Carlo tree search algorithm to figure out its next move based on information that it previously gathered through machine learning, specifically by an artificial neural network. A neural network is trained to identify the most suitable moves and the winning percentages of these moves. Moreover, this neural network consistently improves the strength of the tree search. Also, this results in stronger move selection during the next iteration process.
IBM’s Watson refers to a cognitive AI and machine learning platform. Essentially, it is a data analytics processor. It makes use of natural language processing, a technology that evaluates human speech for meaning and syntax. It performs analytics on large repositories of data that it processes to answer human-posed questions almost instantly. Watson makes use of IBM’s DeepQA software and the Apache UIMA (Unstructured Information Management Architecture) framework implementation within it. The system was programmed using programming languages, including Java, C++, and Prolog.
Eva by HDFC bank
HDFC Bank recently came up with the concept of an AI-based chatbot called EVA (Electronic Virtual Assistant), built by Bengaluru-based Senseforth AI Research. Since its launch, Eva has addressed over 3 million customer queries, interacted with over half a million unique users, and held over a million conversations. Eva has been built with the capability to gather knowledge and information from thousands of online sources and provide accurate answers in less than 0.4 seconds.
MuseNet is a popular online tool that makes use of AI to generate songs with as many as 10 different instruments. It can also create music in over 15 different styles, imitating classical composers like Mozart, contemporary artists like Lady Gaga, or genres like rock or indie. MuseNet works by using a deep neural network. The deep neural networks are trained on a dataset of MIDI files. These MIDI files are gathered from a range of online sources such as jazz, pop, African, Indian, and Arabic styles of music.
Yelp – Image Curation at Scale
Yelp has decided to improve its user experience by incorporating artificial intelligence. Primarily to improve key areas of the customer journey. Image processing is a huge part of its operations, which is why they adopted a picture classification technology. It’s built-in machine learning algorithms assist the organization’s service staff to compile, segregate, and label images more efficiently.
As you can see, AI projects have played a major role in optimizing the business operations of several well-known organizations. By investing in AI projects, firms are able to build solutions based on information-intensive domains such as marketing, health care, financial services, education, and professional services. In addition, AI is capable of making your business become simultaneously more valuable and less expensive to a large extent.
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