The word artificial intelligence has played a very prominent role in computer science and the field of computing, and this concept has become even more popular due to recent developments in the field of artificial intelligence and machine learning. Machine learning is the field of artificial intelligence in which computers are responsible for performing end-to-end everyday tasks and are considered to be smarter than humans.
Robotics and IoT computer integration have made robots think and function at a whole new stage, outsmarting humans with their cognitive skills and smartness. They are known to learn, adapt, and perform in a much quicker way than what people are expected to do and are conditioned to do.
This blog will give you an insight into the latest developments in the field of artificial intelligence!!
Artificial intelligence in marketing
Artificial Intelligence innovations are creating better ways for businesses to help them develop more successful marketing campaigns, enhance the consumer journey, and alter the way organizations attract, cultivate, and turn prospects.
In order to streamline the fashion shopping experience by using Artificial Intelligence, retail giant Alibaba has opened a physical “FashionAI” store in Hong Kong. The store is fitted with smart clothing tags that detect when the item is touched and intelligent mirrors that show details about clothing and recommend coordinating pieces.
In order to synthesize evidence from social listening, CRM, and traditional research experiments, Unilever uses AI data centers around the globe. Using this invention, Unilever discovered a connection between ice cream and breakfast: there are at least 50 public domain songs where the lyrics talk about “breakfast ice cream” and businesses like Dunkin Donuts are still offering ice cream in the morning. Unilever took this experience and developed a selection of cereal flavored ice cream for the Ben & Jerry brand
Artificial intelligence in agriculture
With the aid of AI, farmers can now analyze a number of items in real-time such as environmental patterns, temperature, water use, or soil conditions obtained from their farms to better inform their decisions. In order to better diagnose pathogens in seeds, pests, and low plant nutrition on plantations, Precision agriculture uses AI technology.
An AI-based program called Plantix has been developed by a German-based technology start-up PEAT that can recognize nutrient deficiencies in soil, including plant pests and diseases, by which farmers can also get an idea of using a fertilizer that helps increase the quality of the harvest. This software uses technologies based on visual recognition. Using smartphones, a farmer can capture photographs of plants.
SkySqurrel Technology has launched drone-based Ariel imaging solutions for crop health tracking. The drone collects data from fields in this technique and then data is transmitted from the drone to a device via a USB drive and analyzed by experts. This firm uses algorithms to evaluate the photographs collected to include a comprehensive report containing the farm’s current wellbeing. It helps farmers identify pests and diseases, allowing farmers to use pest control and other measures to take the appropriate action in a timely manner.
Artificial intelligence in banking and finance
Every part of the banking process has been changed by artificial intelligence. AI innovations make banking processes quicker, money transfers safer, and more successful back-end operations.
Artificial intelligence has played an important role in the management of financial transactions and in the handling of various other bank operations. These machine learning models operate on the day-to-day duties of banks such as transactional and financial activities, stock market money and their management, etc. in a much simpler and more effective way.
Three key developments are included in Ayasdi’s AI-powered AML: smart segmentation or data-sifting process optimization to generate the fewest number of false positives; an advanced warning system that auto-categorizes alert priorities; and advanced transaction tracking that uses machine learning to identify suspicious anomalies. For Canada’s Scotiabank and the Italian banking group Intesa Sanpaolo, Ayasdi’s AML AI was able to process hundreds of data points (rather than just the normal 20 or 30 transaction categories), reportedly resulting in a massive drop in false-positive warnings.
For computer scientists, business researchers, tech engineers, executives, and IT specialists, DataRobot provides machine learning resources. DataRobot lets financial institutions and organizations easily develop reliable predictive models that facilitate decision-making on topics such as fraudulent sales of credit cards, control of digital properties, direct marketing, cryptocurrency, financing, and more.
Artificial intelligence in Healthcare
In healthcare, AI has innumerable applications. AI has been a boon to the healthcare industry, whether it is being used to discover ties between genetic codes, to power surgical robots, or even to maximize hospital productivity. Buoy Health is a symptom and cure checker based on AI that utilizes algorithms to diagnose and treat disease. A chatbot listens to the symptoms and health problems of a patient, then directs that patient based on their diagnosis, to the correct treatment. Harvard Medical School is one of the many healthcare providers and hospitals that use Buoy’s AI to help diagnose and treat patients faster.
Enlitic designs diagnostic tools for deep learning to streamline the diagnosis of radiology. The company’s deep learning platform analyzes unstructured medical data in order to provide physicians with deeper insight into a patient’s real-time needs (radiology images, blood tests, EKGs, genomics, patient medical history).
Artificial intelligence in autonomous vehicles
In just about every part of the car manufacturing process, carmakers across the globe use artificial intelligence. By robots putting together the initial nuts and bolts of a vehicle or in an autonomous car using machine learning and vision, AI can be witnesses working their magic to make their way safely through traffic.
AutoX produces retail-based automated vehicles. The company’s vehicles combine AI software, sensors, real-time cameras, and thousands of test miles, both virtual and real, to ensure safe road decisions. Currently, consumers can pick items from their app and have them delivered with the ability to check their smartphone store depending on their vehicle upon arrival, with a focus on grocery delivery.
Optimus Ride is a self-driving vehicle business for geo-fenced locations that manufactures autonomous vehicles. The company’s smart electric vehicles allow more effective and sustainable cities to be introduced, freeing up parking, limiting the number of cars on the road, and reducing the impact on the atmosphere.