Revolutionizing Industries: Unveiling Top Companies and Their Innovative AI Applications
This fascinating technology, artificial intelligence, has a wide range of uses in many different industries. Businesses across all industries have used AI to reach out to customers and improve their operations. Every time we carry out routine tasks like conducting a Google search, making a travel reservation on an online travel agency, receiving an Amazon purchase recommendation, or browsing on our Facebook newsfeed, AI is always hidden in the background, its potent presence unobtrusive but unmistakable.
Many of us are still confused about how artificial intelligence (AI) is being accepted by big and small businesses in our current world, even as well-known tech giants like Apple, Google, and Tesla deliver ground-breaking upgrades and transformations in how society runs and converses using machine learning technology.
ALSO READ: LinkedIn’s AI-Driven Collaborative Articles: A New Way to Connect and Learn
Here’s a list of how some popular firms are using AI in fascinating ways:
Since 2017, Twitter has used artificial intelligence and natural language processing to sift through the countless tweets sent every second and determine which ones its users would find most interesting and relevant. Following criticism for doing nothing to stop the hateful tweets on its platform, Twitter has turned to artificial intelligence to address the problem.
Utilizing algorithms, the technology is also being used to flag any racist or extremist content on its platform by sorting through the enormous volume of tweets sent out every day. Twitter is leveraging AI in an additional covert manner by enabling photo cropping for its users.
Netflix
One digital juggernaut that has made AI and data the center of its business is Netflix. The business uses meticulously created AI algorithms to suggest fresh recommendations to its users. Every time we access the site, we see a tailored content feed that is generated by sifting through a vast amount of data and using AI.
Netflix uses AI in its optimal streaming, which is yet another area where it uses it. Even before filming its original series and films, Netflix uses AI to find the ideal site for the shoot by checking the availability of potential performers and their locales.
To imitate how the human brain processes data, deep learning uses artificial neural networks, which is related to Google’s use of AI. The Google Brain project, a neural network created for image identification, was where it all started in 2011.
ALSO READ: How AI/ML/NLP adds intelligence to RPA?
Through its Google Assistant, which supports both voice and text entry using natural language processing, Google also makes excellent use of AI. It makes a variety of services possible, including real-time translating, voice commands, voice searches, and controlling voice-activated devices.
Uber
Uber uses AI for a variety of purposes throughout its application, including fraud detection, risk assessment, safety procedures, marketing budget, and allocation, matching drivers and passengers, route optimization, and other functions. The duty of connecting clients who need assistance or support to the department’s most knowledgeable workers is one that AI handles brilliantly.
Uber has demonstrated over 10% increases in efficiency as well as parallel increases in customer satisfaction in this area, where AI also helps its agents provide the right answers to customers’ questions.
Amazon
The brains behind some of Amazon’s most well-liked initiatives are AI. Alexa, Amazon’s voice-activated virtual assistant, is the most significant area where AI has been implemented by the company. Alexa uses machine learning and natural language processing to handle user requests and carry out tasks like placing orders or controlling smart home devices.
The algorithm behind Amazon’s product recommendations, which sets the company apart for all of its users, analyzes client purchases to identify goods they would like to purchase in the future.
Apple
Since Apple has always been committed to using AI in its business operations, it is simple for developers to create apps that can deal with machine learning when using Apple devices. Developers can use Core ML to access machine learning capabilities for typical tasks like image identification. Create ML, a toolset that enables developers to master the fundamentals of creating machine learning models, was announced by Apple in 2018.
To speed up AI-specific activities, Apple integrated a neural engine into its A11 processor as the iPhone X was unveiled. When used in conjunction with developer tools, both novice and seasoned developers can easily create applications that fully utilize machine learning capabilities and hardware designed with AI in mind.
Another area where Apple excels at utilizing AI is in the case of Siri, the company’s virtual assistant, which can make calls, send texts, answer questions, and make recommendations using both voice commands and a natural language user interface (UI).
ALSO READ: What is Auto-GPT? ChatGPT or Auto-GPT: Which is better?
Tesla
Tesla has used chiefly artificial intelligence to focus on two areas: all-electric propulsion and autonomous driving. The company wants to make sure that automobiles can drive not just through freeways but also through local streets and traffic lights by using self-generated AI chips.
Two AI chips are part of the Tesla system, which helps it perform better on the road. Each AI chip evaluates the traffic situation independently to steer the vehicle appropriately.
Conclusion
These are but a few examples. Numerous other businesses besides these have incorporated artificial intelligence in captivating and enticing ways for the smooth operation of the business. AI has had a significant impact on society and human lives in a variety of ways as it has established itself as a powerful and dominant force in the modern world.
While this poses a threat to humans’ ability to perform a variety of traditional jobs, it also creates a whole new field of employment possibilities with the potential to grow quickly. However, as technology becomes more prevalent, it is always necessary to consider factors like convenience, speed, accuracy, assurance, and experience.
